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CO2 Emission Rating by Vehicles using Supervised Algorithms 2

CO2 Emission Rating by Vehicles using Supervised Algorithms

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2nd IEEE International conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2023

作者： Ramesh, Sudarshni Shiny Shalynn, I.M. Justus, J. Jean St. Joseph's College of Engineering Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350315905

Personal vehicles play a significant role in contributing to the issue of global warming. Gasoline used in cars emits an estimated 24 pounds of carbon dioxide and other greenhouse gases per gallon, which accounts for roughly 20% of all emissions. Over five pounds of heat-trapping pollutants are produced throughout the fuel's extraction, manufacture, and delivery, while it's important to note that cars release over 19 pounds per gallon directly from their tailpipes. At present, gas-powered vehicles typically achieve a fuel efficiency of around 22.0 miles per gallon, covering an annual distance of 11,500 miles. As a consequence, the combustion of one gallon of gasoline results in approximately 8,887 grams of CO2 being released into the atmosphere. In 1998, the automobile industry pledged to reduce new car emissions by 25% by 2008. At that time, CO2 emissions from new cars were approximately 203g/km. Currently, the average emissions of vehicles stand at approximately 170g/km and it is projected that they will not decrease to 140g/km until after 2020. The amount of CO2 emitted by a standard passenger car is typically around 4.6 metric tons per year, but this can fluctuate depending on factors such as fuel type, fuel efficiency, and mileage. While predicting emissions becomes more challenging as more variables come into play, some experimental designs consider controllable variables and their interactions. To predict gas emissions, we've developed a model that utilizes a car's attributes to determine if it exceeds the CO2 threshold. If it does, the RTA will take action. One of the best techniques for predicting CO2 emissions is supervised machine learning. © 2023 IEEE.

关键词： Data visualization

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interactive Historical Documentary in Virtual Reality 2

Interactive Historical Documentary in Virtual Reality

引用

2nd International conference on interactive Media, Smart Systems and Emerging Technologies, IMET 2022

作者： Kritikos, Yannis Mania, Katerina School of Electrical and Computer Engineering Technical University of Crete Chania Greece

ISBN: (数字)9781665470162

ISBN: (纸本)9781665470162

As digitization has transformed media and Virtual Reality (VR) and Augmented Reality (AR) have evolved from a research area to a commodity, digital media content creators are experimenting with VR digital storytelling. Most VR experiences are developed in a lean-back 360 immersive format with limited viewer interaction. This paper presents an innovative, first person Point of View (POV) highly interactive VR documentary titled 'The Revolution of 1897 in Crete' aiming to enhance interactivity, eliminate character-related uncanny valley effects, promote non-obtrusive subtitle placement and techniques for familiarization with complicated VR controllers. Viewers are active participants through interactive tasks involving sound and music, supporting 'doing' rather than just observing. We initially analyze interactive VR experiences to identify the specific characteristics of this new medium, composing a VR grammar. We evaluate task load and usability of the presented interactive and multimodal VR documentary. We propose design recommendations for creators of VR and AR media experiences in any context including cultural heritage. © 2022 IEEE.

关键词： History

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Advances and Predictions in Predictive Auto-Scaling and Maintenance Algorithms for Cloud Computing 2

Advances and Predictions in Predictive Auto-Scaling and Main...

引用

2nd International conference on Automation, Computing and Renewable Systems, ICACRS 2023

作者： Rathinam, Anantha Raman Vathani, B. Santha Komathi, A. Lenin, J. Bharathi, B. Urugan, S.M. Department of Computer Science and Engineering - Honors KL University Guntur Andhra Pradesh Vijayawada India Department of Management Studies Mahalashmi Women’s College of Arts and Science Tamil Nadu Chennai India Department of Computer Science Nadar Saraswathi College of Arts and Science College Tamilnadu Theni India Department of ComputerScience and Engineering Alliance College of Engineering and Design Alliance University Karnataka Bengaluru India Department of Computer Science and Engineering R.M.K. Engineering College Tamil Nadu Chennai India Department of Biomedical Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai India

ISBN: (纸本)9798350340235

The use of sophisticated algorithms has radically altered cloud computing predictive auto-scaling and upkeep approaches. Recurrent Neural Networks (RNNs), the Prophet Algorithm, K-Means Clustering, and Seasonal Autoregressive Integrated Moving-Average (SARIMA) all play a role in improving cloud infrastructures, and their interactions are studied here. By capitalizing on their superiority in processing sequential data, RNNs can deduce accurate workload forecasts from past use patterns. Concurrently, the Prophet Algorithm records seasonal and annual patterns, which adds depth to forecasts. By grouping servers into clusters with similar consumption patterns, K-Means Clustering improves resource allocation efficiency and paves the way for precise auto-scaling. SARIMA models capture nuanced seasonal fluctuations, which lead to reliable demand forecasts. This explores the state-of-the-art and future directions of these techniques, illuminating their potential to revolutionize current approaches to cloud management. When these methods are combined, cloud service providers are better able to proactively scale their resources, hence reducing the likelihood of bottlenecks and outages. It foresees the development of these algorithms and their subsequent widespread use in a variety of fields outside of cloud computing, such as Internet of Things (IoT) networks and edge computing infrastructures. © 2023 IEEE.

关键词： Auto-Scaling Cloud Computing Data-driven Insights K-Means Clustering Maintenance Algorithms Predictive Analytics Prophet Algorithm Recurrent Neural Networks Scalability Seasonal Autoregressive Integrated Moving-Average

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Maneuvering Machine Learning Algorithms to Presage the Attacks of Fusarium oxysporum on Cotton Leaves 2

Maneuvering Machine Learning Algorithms to Presage the Attac...

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2nd Edition of IEEE Delhi Section Owned conference, DELCON 2023

作者： Dutta, Anurag Kumar, Pijush Kanti De, Ankita Kumar, Padmanavan Harshith, John Soni, Yash Government College of Engineering & Textile Technology Serampore Department of Computer Science Serampore Calcutta India Government College of Engineering & Textile Technology Serampore Department of Information Technology Serampore Calcutta India Kalinga Institute of Industrial Technology Department of Computer Science Odisha Bhubaneswar India Vellore Institute of Technology Department of Computer Science Tamil Nadu Vellore India S. G. S. Institute of Technology & Science Department of Information Technology Indore India

ISBN: (纸本)9798350322064

Web technologies have reached unprecedented levels during this time of modernization. Significant and relevant technological stacks like IoT (Internet of Things), ML (Machine Learning), and AI-influenced crawling and cradling (Artificial Intelligence). These categories are beneficial. In this work, we would try to make use of the notion of Machine Learning Algorithms to predict the attack of Fusarium oxysporum on the leaves of the Cotton plant. It's a type of ascomycete fungi that forms an infrageneric grouping called a section. All of the species, variations, and forms discovered by Wollenweber and Reinking are Elegans. It belongs to the Nectriaceae family. Many strains of the F. oxysporum complex are soil-borne plant pathogens, especially in agricultural settings, although their primary function in native soils may be as benign or even advantageous as plant endophytes or soil saprophytes. Many textile products are made from cotton. Cotton is used in a variety of products besides the textile industry, including gill nets, coffee filters, tarpaulins, cotton paper, and bookbinding. The cotton used to be used to make fire hoses. India and China are the major cotton producers in 2017, with an annual production of approximately 18.53 million tonnes and 17.14 million tonnes, respectively. The vast majority of this output is used by their textile businesses. This contributes a major portion of the economy. To strengthen the same, we can make use of certain prediction techniques that could foresee if the leaves of cotton suffering from the attack by the pathogens, making use of algorithms like 'Support Vector Machine', 'Random Forest', 'k - Nearest Neighbours', and many more. Further, this work would also compare the efficacy of these algorithms in predicting the damage in the Cotton Leaves. All Codes, Data, and Supplementary Material are made available at https://***/Anurag-Dutta/Maneuvering-Machine-Learning-Algorithms-to-presage-the-attacks-of-Fusarium-oxysporum-o

关键词： Cotton

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Simulation Software for Heat and Power Cogeneration (CHP) Using Green Hydrogen 5

Simulation Software for Heat and Power Cogeneration (CHP) Us...

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5th International conference in Electronic Engineering, Information Technology and Education, EEITE 2024

作者： Karapidakis, Emmanuel Nikologiannis, Marios Peraki, Angela Angeloudis, Alexandros Paspatis, Alexandros Katsigiannis, Yiannis Hellenic Mediterranean University Electrical and Computer Engineering Department Heraklion Greece Institute of Energy Environment and Climate Change Hellenic Mediterranean University Heraklion Greece Manchester Metropolitan University Department of Engineering Manchester United Kingdom

ISBN: (纸本)9798350372878

Energy transition offers a wide range of benefits, including the potential to confront the recent energy crisis. Green hydrogen is a fast-developing clean energy source due to its low carbon emission in the atmosphere, promoting, thus, not only significant economic growth, but also independence from fossil fuels. Raising the public's awareness about renewable energy sources can lead to social acceptance and the rise of green practices, leading to the assimilation of such practices into everyday occurrences. To increase these practices and educate both students and the public about renewable energy, the role of educational establishments is considered essential. An effective tool to spread awareness and provide insight about green hydrogen is through specialized simulation software. In this paper, an interactive dashboard is realized to examine, to a certain extent, how a hybrid battery-hydrogen storage system operates and satisfies different energy needs, using photovoltaics, water electrolysis and fuel cells, implemented using Microsoft Excel® and its integrated tools. By processing a sample of load data originated from a hotel located in Heraklion, Greece and some user-defined variables, the software calculates hourly values including hydrogen and thermal production in an annual basis. © 2024 IEEE.

关键词： Clean energy

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Technology in the margins: Queer and trans technologies to support reorienting toward LGBTQ2S+ solidarity 2

Technology in the margins: Queer and trans technologies to s...

引用

2nd annual Meeting of the International Society of the Learning Sciences, ISLS 2022

作者： Paré, Dylan Windsor, Scout Craig, John University of Calgary Queer Code Collective Canada Queer Code Collective Canada

ISBN: (纸本)9781737330639

Equity-oriented Learning Sciences scholars are turning their research focus and practice towards solidarity with and for marginalized people, but what does that look like when creating technology-mediated learning environments? This workshop seeks to establish a transdisciplinary epistemology that grounds the design of technology-mediated, constructionist learning environments in queer and trans perspectives. In this workshop, participants will engage with three example queer and trans technologies. To begin, they will critically examine and interact with film, virtual reality and interactive computer simulations that share stories of LGBTQ2S+ experience. Next, participants will collaboratively produce principles applicable to Learning Sciences researchers and educators that address how to ethically engage in design work that advances justice-oriented issues for marginalized people, particularly LGBTQ2S+ people. The facilitators each have four years of experience creating interactive technologies for learning about social issues. The first author has an additional 12 years of experience teaching about gender and sexuality. © ISLS.

关键词： Virtual reality

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Visualization and Prediction of Rainfall Using Deep Learning and Machine Learning techniques 2

Visualization and Prediction of Rainfall Using Deep Learning...

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2nd International conference on Technological Advancements in Computational Sciences, ICTACS 2022

作者： Aruna, T. Naresh, P. Rajeshwari, A. Hussan, M.I. Thariq Guptha, K. Gurunadha Sri Indu Institute of Engineering and Technology Dept of CSE Hyderabad India Dept of It Hyderabad India Computer Science & Engineering Mahatma Gandhi University Nalgonda India Computer Science & Engineering St.Martin's Engineering College Hyderabad India

ISBN: (数字)9781665476577

ISBN: (纸本)9781665476577

The sheer quantity of big information has created tremendous prospects for forecasts and study. Infographic is a normal sight in everyday life. Several trend lines explain the pragmatic approach to weather assessment using interactive media. Because it was Previously unable to evaluate huge data, visual analytic tools have made plotting the system quality. For a good knowledge of the conditions, maps are used. Graphing trends like The precipitation of India have been presented with the maximum, minimum, and medium precipitation in the U.s Districts. The precipitation trend in India's provinces and territories was correctly illustrated in this article. The recurring sequence highlights extremely dry areas. © 2022 IEEE.

关键词： Rain

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Exploring the process of clinical diagnosis from a cognitive-affective perspective: Role of sensemaking and empathy 2

Exploring the process of clinical diagnosis from a cognitive...

引用

2nd annual Meeting of the International Society of the Learning Sciences, ISLS 2022

作者： Raste, Sunita Indian Institute of Technology Bombay India

ISBN: (纸本)9781737330639

Clinical diagnosis of genetic disorders caused due to chromosomal abnormalities requires sensemaking based on the symptoms of a patient. The geneticist needs to gather and interpret information from the patient, conduct tests and advice on further treatment. This involves both cognitive and affective processes, such as reasoning to analyze the symptoms and connect it with chromosomal abnormalities, and establishing an emotional connect with the patient to gather complete and relevant information. Karyotype is a web-based learning environment where learners diagnose the cases of genetic disorders while assuming the role of a geneticist. A case-based reasoning approach with interactive content and simulated protocols has been used to provide hands-on learning experience. Our goal is to understand the process of diagnosis from a cognitive-affective perspective. Preliminary study findings suggest that when put in the role of a geneticist dealing with real-life scenarios, learners exhibit empathy towards patients which helps in observation and information gathering and is accompanied by improved sensemaking. © ISLS.

关键词： computer aided instruction

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3D Reconstruction Using a Linear Laser Scanner and A Camera 2

3D Reconstruction Using a Linear Laser Scanner and A Camera

引用

2nd International conference on Artificial Intelligence and computer Engineering, ICAICE 2021

作者： Wang, Rui Zhejiang University Department of Computer Science and Technology Zhejiang China

ISBN: (纸本)9781665421867

With the rapid development of computer graphics and vision, several three-dimensional (3D) reconstruction techniques have been proposed and used to obtain the 3D representation of objects in the form of point cloud models, mesh models, and geometric models. The cost of 3D reconstruction is declining due to the maturing of this technology, however, the inexpensive 3D reconstruction scanners on the market may not be able to generate a clear point cloud model as expected. This study systematically reviews some basic types of 3D reconstruction technology and introduces an easy implementation using a linear laser scanner, a camera, and a turntable. The implementation is based on the monovision with laser and has tested several objects like wiki and mug. The accuracy and resolution of the point cloud result are quite satisfying. It turns out everyone can build such a 3D reconstruction system with appropriate procedures. © 2021 IEEE.

关键词： Phonographs

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On Quick Measurement of Airborne Ultrasound Pressure Fields 2

On Quick Measurement of Airborne Ultrasound Pressure Fields

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2nd International conference on interactive Media, Smart Systems and Emerging Technologies, IMET 2022

作者： Morgan, Zak Cho, Youngjun Subramanian, Sriram University College London Department of Computer Science London United Kingdom

ISBN: (数字)9781665470162

ISBN: (纸本)9781665470162

While ultrasound has long been used in the medical field in solid and liquid mediums, it's use in air has been less thoroughly researched due to a previous lack of applications. Recently it has been used for new applications such as mid-air haptics and the levitation of small particles. These applications require accurate acoustic holograms to be generated in mid-air. In order to do so it is vital to measure accurately these pressure fields, but also quickly in order to allow for quick iteration on work, or even real-time feedback. In addition to this it is of benefit to measure the sound field without interfering with it, which microphone set ups often do due to reflections of the device used to move the microphone. This work finds these methods currently lacking, though there are techniques used in place of hydrophones in water that could be adapted to work for the in-air context such as thermography. © 2022 IEEE.

关键词： Ultrasonic imaging

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