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Application and Outlook of Digital Media Technology in smart Tourism

Application and Outlook of Digital Media Technology in Smart...

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international conference on Machine Learning and Big data analytics for IoT Security and Privacy, SPIoT 2020

作者： Pu, Jing Sichuan Agricultural University Chengdu China

ISBN: (纸本)9783030627454

With the development of digital media technology, the concepts of a smart earth and a smart city have been gradually recognized. In recent years, smart tourism has gained much more attention. smart tourism is the product of the continuous improvement of the tourism standard and different type of information technology. This article analyzes the information art design situation from the connotation of information art design, and establishes the research context from the connecting between information application design, media, and user experience. Moreover, the media regulates the form and content of information design. This article takes the development trend of media integration as the starting point, and determines the research ideas for cross-media integrated design. Based on the design examples, the types and components of the information art design of the digital service platform of the scenic spot are summarized and demonstrated. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Digital storage

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IoT Based Design of an intelligent Light System Using CoAP 1st

IoT Based Design of an Intelligent Light System Using CoAP

引用

1st international conference on Artificial Intelligence and Sustainable computing for smart Cities (AIS2C2)

作者： Garg, Ruchi Chandel, Sonal Telang Maulana Azad Natl Inst Technol Bhopal Madhya Pradesh India

ISBN: (纸本)9783030823221;9783030823214

The Internet of things (IoT) is leading towards revolutionary applications with huge potential to improvise the efficiency of industries and environment multifold. Applications of IoT are marking their presence using the concept of a remote monitoring system, real-time data, visualization of data, and data analytics. This paper proposes and simulate an IoT based application of an intelligent Light Control System. Luminosity sensors are used which sense the lux value. The application of light control system uses the lux value to control the switch ON/OFF of LED, remotely using the Constrained Application Protocol (CoAP protocol) at the application layer. The application is simulated in Cooj a simulator along with Add-on plug-in Copper (Cu) in the Firefox browser. In this application, LEDs are switched ON/OFF automatically depending upon the availability of sunlight. The aim of this simulation is towards humungous power saving which will be a step forward to a green environment.

关键词： Internet of Things CoAP 6LoWPAN Wireless sensor network Light control system Contiki-Cooja Copper (Cu)

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Emerging smart Manufactory: Industry 4.0 and Manufacturing in India: The Next Wave 1st

Emerging Smart Manufactory: Industry 4.0 and Manufacturing i...

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1st international conference on Microelectronics, Communication Systems, Machine Learning, and Internet of Things, MCMI 2020

作者： Priyadarshi, Rahul Singh, Apoorv Agarwal, Deepak Verma, Umesh C. Singh, Anurag National Institute of Technology Bihar Patna India India

ISBN: (纸本)9789811919053

Today design-manufacturing industry is automated and digital, where machines communicate with every other. A clever factory equipped with statistics alternate in industrial, the Internet of Things (IoT) is the forthcoming, and specialists are shouting it uprising Industry 4.0. The future factory is going to comprise a new integrative, where now not only all manufacturing sources (sensors, actuators, machines etc.) are connected and trade data automatically and Industry 4.0 implies a whole communication network will exist between a range of companies, factories, supplier, logistics, resources, customers. Reports peg the clever manufacturing facility enterprise to contact $215 billion through 2025, and there has been vital financial device in the world that is now embracing it. The contemporary globalization is confronted by way of the usage of the challenge to meet the always-growing global demand for capital and purchaser items by means of using concurrently making certain a sustainable evolve of human existence in its social. Industrial revolutions and future view of Industry 4.0 see the introduction of disruptive new applied sciences, the current developments of automation, and knowledge alternate that is opening to arise in manufacturing technologies. This consists of cyber-bodily techniques IoT, information analytics, cloud computing, and artificial Intelligence (AI). Implementation will advocate radically altering the documents framework and industry organization methods of your entire operation. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Industry 4.0

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A system for collecting emotionally annotated physiological signals in daily life using wearables 9

A system for collecting emotionally annotated physiological ...

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9th international conference on Affective computing and intelligent Interaction (ACII)

作者： Saganowski, Stanislaw Behnke, Maciej Komoszynska, Joanna Kunc, Dominika Perz, Bartosz Kazienko, Przemyslaw Wroclaw Univ Sci & Technol Dept Computat Intelligence Wroclaw Poland

ISBN: (纸本)9781665400213

Several obstacles have to be overcome in order to recognize emotions and affect in daily life. One of them is collecting a large amount of emotionally annotated data necessary to create data-greedy machine learning-based predictive models. Hence, we propose the Emognition system supporting the collection of rich emotional samples in everyday-life scenarios. The system utilizes smart-wearables to record physiological signals unobtrusively and smartphones to gather self-assessments. We have performed a two-week pilot study with 15 participants and devices available on the market to validate the system. The outcomes of the study, alongside the discussion and lessons learned, are provided.

关键词： emotion recognition Emognition field studies self-assessment triggering rich emotion labelling data collection

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Empowering Conventional Systems : Transforming Electronics into smart Devices through Single-Board Computers and Cloud-Based IoT Integration

Empowering Conventional Systems : Transforming Electronics i...

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international conference for Convergence of Technology (I2CT)

作者： Nandini Ammanagi Shripad Kulkarni Rohan Giri Adarsh P S Bhavesh Khati Dept. of Electronics and Telecommunication V.E.S. Institute of Technology Mumbai India V.E.S. Institute of Technology Mumbai India

ISBN: (数字)9798350394474

ISBN: (纸本)9798350394481

The rapid proliferation of the Internet of Things (IoT) has revolutionized various sectors, enabling seamless connectivity and data exchange between devices. However, the integration of IoT capabilities into conventional electronic systems remains a challenge due to their non-IoT-ready designs. This obstacle often incurs significant costs and complexities. In this context, this paper explores a transformative approach using Single-Board Computers (SBCs) and cloud-based IoT platforms. SBCs, characterized by their affordability, power, and adaptability, serve as pivotal tools in enhancing existing electronic systems. By seamlessly integrating SBCs, conventional devices can gain IoT connectivity, data processing capabilities, and intelligent functionalities. Cloud-based IoT platforms offer scalable solutions for managing and monitoring IoT devices, delivering services such as data storage, analytics, and machine learning. This paper delves into the synergy between SBCs and cloud-based IoT platforms, illustrating how this convergence can empower conventional systems, metamorphosing them into intelligent, adaptive entities. Through insightful case studies, we demonstrate the practical implementation of this approach, showcasing innovative products and services that emerge as a result[1]. Furthermore, the paper critically examines the challenges and opportunities associated with integrating SBCs and cloud-based IoT platforms into conventional systems. Addressing issues such as security, scalability, and energy efficiency, the paper offers a comprehensive analysis of the complexities involved in this transformative process. In essence, this research sheds light on the transformative potential of combining SBCs and cloud-based IoT platforms, paving the way for a future where conventional electronics evolve into smart, interconnected devices, thereby ushering in a new era of technological advancement and innovation[2].

关键词： Computers Cloud computing smart homes Energy efficiency Complexity theory Internet of Things Security

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Exploring the Transformative Convergence of IoT and Fog computing for Healthcare, Agriculture, Urbanization, and Transportation

Exploring the Transformative Convergence of IoT and Fog Comp...

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international conference on Recent Trends in Advance computing (ICRTAC)

作者： Kotari Suresh M. Humera Khanam Department of Computer Science and Engineering S. V. University College of Engineering Tirupati India

The integration of IoT and fog computing technologies has the potential to revolutionize a number of sectors, including healthcare, agriculture, urbanization, and transportation. Real-time human health monitoring, sensor-generated bio-signals, and wireless communication protocols enable effective decision-making, medication management, and diagnostics in the healthcare industry while protecting sensitive medical data. Fog computing and Internet of Things solutions for agriculture improve production management and pest control using wireless sensor networks, giving farmers the most recent data on the state of the environment, the health of their crops, and pest activity. Fog computing and the IoT provide sustainable growth and better urban services, resource allocation, and citizen experiences in smart city efforts, solving difficulties brought on by expanding urban colonies. Fog computing and the IoT also benefit transportation systems, particularly through the use of vehicular ad hoc networks (VANETs), which improve driving experiences, traffic efficiency, and traffic forecasting, ultimately resulting in increased safety, fewer accidents, and better overall infrastructure for transportation. By utilizing real-time data analytics, connectivity, and intelligent decision-making, the convergence of fog computing and IoT presents a significant opportunity to address pressing issues in healthcare, agriculture, urbanization, and transportation. This will help to create a future that is more effective, sustainable, and interconnected across many industries.

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Recommendation Strategies for smart Tourism Scenic Spots Based on smart City

Recommendation Strategies for Smart Tourism Scenic Spots Bas...

引用

international conference on Machine Learning and Big data analytics for IoT Security and Privacy, SPIoT 2020

作者： Chen, Peilin China University of Labor Relations Beijing100048 China

ISBN: (纸本)9783030627454

With the widespread popularization of smart tourism in smart cities and the increasing requirements of tourists for the quality of tourism services, services such as smart online tourism and smart mobile tourism have also gradually emerged. The ways to build a smart city include: smart public services and smart society management. In order to quantify the recommendation of tourist attractions in smart cities, this paper proposes a personalized tourist attraction recommendation algorithm based on Bayesian network learning. In order to solve the problems of new users and new attractions in smart cities, this algorithm uses the user’s demographic information, user-attraction rating information, and attractions attributes. The Bayesian probability model is used to calculate the probability that a user will visit each attraction. Finally, this algorithm is experimentally verified with the traditional algorithm on the Ctrip data set. The results show that the algorithm is more effective in processing new users and new attractions. Good performance, survey results show that user satisfaction has reached more than 80%. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： smart city

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Revolutionizing Residential EV Charging Through IoT-Enabled smart Energy Metering for Sustainability

Revolutionizing Residential EV Charging Through IoT-Enabled ...

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Mobile computing and Sustainable Informatics (ICMCSI), international conference on

作者： N. Sivakumar S. Charles Raja M.Meenakshi Devi Saraswathi Meena R Dept. of EEE Thiagarajar College of Engineering Madurai Tamilnadu India Dept. of Applied Mathematics and Computational Science Thiagarajar College of Engineering Madurai Tamilnadu India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522674

The rapid growth in Electric Vehicle (EV) adoption poses substantial challenges to residential energy infrastructures, especially in terms of the strain it places on local grids during charging. This paper proposes an IoT-based smart Energy Meter System (SEM) designed to efficiently manage EV charging in residential environments. The system integrates IoT technology with advanced energy metering features, enabling real-time monitoring and control of charging operations. The system is composed of intelligent energy meters for real-time monitoring, an IoT-enabled hub for data collection and processing, and an intuitive consumers interface for customizing and managing EV charging schedules. By continuously monitoring energy consumption and charging demands, the system optimizes charging schedules to reduce peak loads, lower energy costs, and enhance grid stability. It provides residents with insights into their energy usage and charging patterns, empowering them to make informed decisions to reduce their carbon footprint. Furthermore, the system seamlessly integrates with renewable energy sources and energy storage solutions, promoting clean energy usage for EV charging. Through cloud-based analytics and predictive maintenance, it ensures reliable and uninterrupted charging services. The proposed IoT-based SEM system offers a scalable and sustainable solution for managing EV charging in residential settings, supporting electric mobility while improving energy efficiency and promoting environmental sustainability.

关键词： Meters Schedules Power system stability Message services Electric vehicle charging Real-time systems Stability analysis Reliability Monitoring Predictive maintenance

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Enhancing Cloud computing Security through AI-Based intelligent Intrusion Detection Leveraging Neural Networks and Artificial Bee Colony Optimization 8

Enhancing Cloud Computing Security through AI-Based Intellig...

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8th international conference on Digital Technologies in Education, Science and Industry, DTESI 2023

作者： Ali, Mohsin Razaque, Abdul Yeskendirova, Damelya M. Nurlybayev, Talgat A. Askarbekova, Nessibeli Y. Kashaganova, Zarina A. International Information Technology University Manas St. 34/1 Almaty050000 Kazakhstan

This paper presents a novel approach for detecting malicious network traffic by leveraging artificial neural networks, well-suited for deep packet inspection-based intrusion detection systems. Through comprehensive experimentation with diverse benign network traffic data, encompassing images, dynamic link library files, logs, music files, word processing documents, alongside malicious shell code files sourced from the exploit and vulnerability repository exploitdb, our proposed artificial neural network architecture demonstrates exceptional accuracy in distinguishing benign from malicious network traffic. The introduced neural network consistently achieves an average accuracy rate of 99%, an average area under the receiver operator characteristic curve (AUC-ROC) of 0.99, and an average false positive rate of fewer than 2% across multiple 10-fold cross-validation iterations. These findings underscore the robustness, precision, and accuracy of our classification technique. Furthermore, this innovative approach to detecting malicious network traffic holds substantial potential for enhancing intrusion detection systems in both conventional network traffic analysis and cyber-physical systems analysis, such as smart grids. Additionally, we introduce a novel intrusion detection system (IDS) that combines a multilayer perceptron (MLP) network with artificial bee colony (ABC) and fuzzy clustering algorithms. The MLP network identifies normal and abnormal network traffic packets, while the ABC algorithm optimizes linkage weights and biases during MLP training. Validation of our approach employs the CloudSim simulator and the NSL-KDD dataset, with evaluation metrics comprising mean absolute error (MAE), root mean square error (RMSE), and the kappa statistic. The results obtained from our experiments demonstrate the superior performance of our proposed method when compared to state-of-the-art approaches in the field. © 2020 Copyright for this paper by its authors.

关键词： Malware

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Healthcare Industry: Embracing Potential of Big data across Value Chain

Healthcare Industry: Embracing Potential of Big Data across ...

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Advancements in smart, Secure and intelligent computing (ASSIC), international conference on

作者： Ravi Shankar Jha Priti Ranjan Sahoo Shaktimaya Mohapatra KIIT School of Management KIIT University Bhubaneswar India Kalinga Institute of Medical Sciences KIIT University Bhubaneswar India

In the fast-moving era of the Industrial Revolution (Industry 4.0), digitally fueled devices and technologies are paramount for driving innovation and creating values across a myriad of industries. A case in point is - Healthcare Industry. Healthcare insurance companies, hospitals, and other providers around the world are belligerently leveraging digital tools and technologies such as Big data analytics, Lake, Machine Learning, Artificial Intelligence, Internet of Things (IoT), Natural Language Processing, smart sensors, and the Internet of Things (IoT), for improving the overall quality of care and overall process efficiency and effectiveness. The Healthcare industry has been a center of discussion for embracing Big data practice across the value chain for the past couple of decades due to the prodigious potential that is concealed in it. With so much abundant information, there have been numerous provocations related to the apiece stage of maneuvering big data that can only be amplified by leveraging high-end computer science results for big data analytics, as mentioned above. Well-organized healthcare ecosystem, analysis, and magnification of big data can influence the course of the game by opening new paths in terms of offering unique yet innovative products and services for the modern age technology-propelled healthcare value chain. This paper emphasizes the impetus of Big data across the healthcare value chain, which involves the amalgamation of technology, data, and business, yielding better decisions and improving the experience across all touch points.

关键词： Industries Technological innovation Ecosystems Quantum mechanics Medical services Companies Big data

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