Relevant bibliographies by topics / IoT visualization

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'IoT visualization'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "IoT visualization"

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Mykhailo, Lukianets, and Sulema Yevgeniya. "REAL-TIME DATA VISUALIZATION FOR IOT NETWORK SYSTEMS: CHALLENGES AND STRATEGIES FOR PERFORMANCE OPTIMIZATION." System technologies 5, no. 148 (2024): 52–61. http://dx.doi.org/10.34185/1562-9945-5-148-2023-05.

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Real-time data visualization has become an essential tool for decision-making systems in various industries, including finance, healthcare, IoT, and manufacturing. Real-time data visualization enables organizations to monitor and analyze data as it is generated, providing real-time insights into critical business operations. However, real-time data visualization poses several challenges, including performance, data quality, and visualization complexity. This paper will explore the importance of real-time data visualization in IoT network systems, and the challenges associated with it. Specifically, the paper will discuss the challenges of real-time data visualization and ideas to increase performance. The paper will also provide a comprehensive analysis of the impact of real-time data visualization on IoT network and decision-making systems, highlighting its benefits and potential drawbacks. The paper will begin by discussing the importance of real-time data visualization in IoT network systems, highlighting its role in providing timely insights into critical operations. It will then delve into the challenges associated with real-time data visualization, including data quality, visualization complexity, and performance. The paper will provide a detailed analysis of each challenge, outlining the potential impact on real-time data visualization systems and deci-sion-making processes. The paper will also explore ideas to increase performance in real-time data visualization, including implementing high-performance computing infrastructure, op-timizing data processing and analysis, using caching techniques, using visualization techniques optimized for performance, implementing data compression, and using real-time analytics. The paper will provide a comprehensive analysis of each idea, outlining its potential impact on real-time data visualization systems' performance and overall effective-ness. Finally, the paper will conclude by highlighting the importance of real-time data visualization in IoT network systems and the need to address the challenges associated with it. The paper will also provide recommendations about how to implement real-time data visualization systems, outlining key considerations and best practices to ensure successful implementation and optimal performance.
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ЛУК’ЯНЕЦЬ, МИХАЙЛО, та ЄВГЕНІЯ СУЛЕМА. "МЕТОД ВІДОБРАЖЕННЯ ТОЧКОВИХ ТЕМПОРАЛЬНИХ МУЛЬТИМОДАЛЬНИХ ПОТОКОВИХ ДАНИХ ПРИСТРОЇВ IOT ЗІ ЗБЕРЕЖЕННЯМ СТАБІЛЬНОСТІ ВІДОБРАЖЕННЯ ПОПЕРЕДНЬО ВІЗУАЛІЗОВАНИХ ДАНИХ". Herald of Khmelnytskyi National University. Technical sciences 347, № 1 (2025): 245–50. https://doi.org/10.31891/2307-5732-2025-347-32.

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This paper presents a method for visualizing temporal multimodal streaming data from Internet of Things (IoT) devices, ensuring the stability of previously visualized data. The growing volume of real-time IoT data presents challenges in visualization and analysis, requiring efficient techniques for handling large datasets in dynamic environments. The goal of this research is to reduce system load without losing the context of the data being visualized. The proposed method uses downsampling techniques to reduce the volume of displayed data while maintaining visualization stability by limiting the time window for data resampling. This method optimizes system resources, ensuring that users can interact with real-time data without cognitive overload, even when processing large volumes of data continuously. Moreover, the research shows that the proposed method can handle the challenges of real-time data streams effectively, providing a better user experience by preventing cognitive overload. Users are presented with only the most relevant data, ensuring that the visualization remains clear, stable, and easy to interpret. The paper demonstrates the effectiveness of the method through an implementation using the SciChart library for .NET, showcasing its ability to reduce system resource consumption and improve real-time data representation. The results reveal that the proposed approach significantly reduces CPU and GPU load, making it suitable for real-time IoT data visualization, especially in resource-constrained environments. In conclusion, this method offers a scalable and efficient solution for visualizing temporal multimodal IoT data, balancing the need to reduce system load while maintaining stable, clear, and meaningful visualizations. This approach ensures that real-time data remains accessible and interpretable, even when large amounts of data are continuously processed.
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Likhitkar, Swapnil, Jatin Gereja, Nikhil Sonwane, and Savita Pawar. "PLANT VISUALIZATION USING IOT AND AR." International Journal of Engineering Applied Sciences and Technology 04, no. 12 (2020): 235–39. http://dx.doi.org/10.33564/ijeast.2020.v04i12.037.

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Phupattanasilp, Pilaiwan, and Sheau-Ru Tong. "Augmented Reality in the Integrative Internet of Things (AR-IoT): Application for Precision Farming." Sustainability 11, no. 9 (2019): 2658. http://dx.doi.org/10.3390/su11092658.

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Benefitted by the Internet of Things (IoT), visualization capabilities facilitate the improvement of precision farming, especially in dynamic indoor planting. However, conventional IoT data visualization is usually carried out in offsite and textual environments, i.e., text and number, which do not promote a user’s sensorial perception and interaction. This paper introduces the use of augmented reality (AR) as a support to IoT data visualization, called AR-IoT. The AR-IoT system superimposes IoT data directly onto real-world objects and enhances object interaction. As a case study, this system is applied to crop monitoring. Multi-camera, a non-destructive and low-cost imaging platform of the IoT, is connected to the internet and integrated into the system to measure the three-dimensional (3D) coordinates of objects. The relationships among accuracy, object coordinates, augmented information (e.g., virtual objects), and object interaction are investigated. The proposed system shows a great potential to integrate IoT data with AR resolution, which will effectively contribute to updating precision agricultural techniques in an environmentally sustainable manner.
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Surya Kumara, I. Made, I. Gusti Made Ngurah Desnanjaya, and Kannan Nataraj. "Enhancing 3D building visualization and real-time monitoring in construction through IFC and IoT integration." Bulletin of Electrical Engineering and Informatics 14, no. 3 (2025): 2233–41. https://doi.org/10.11591/eei.v14i3.9263.

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The integration of industry foundation classes (IFC) and internet of thing (IoT) addresses a key challenge in construction: real-time data visualization on specific building storeys. Traditional methods often struggle with data integration and timely monitoring. This study introduces a web-based platform that combines three-dimensional (3D) technology, IFC models, and IoT sensors to enhance visualization and monitoring in construction projects. Unlike prior approaches that focus on static visualization or lack real-time IoT integration, this platform delivers dynamic, storey -specific updates, enabling real-time monitoring of critical building parameters. A case study showed that file size significantly impacted loading speed, ranging from 0.17 kB/ms (97.3 kB model in 572 ms) to 11.72 kB/ms (7.2 MB model in 629 ms). Despite a slight drop in frame rate from 60 to 55 frames per second (FPS), the system maintained smooth user interactions. Memory usage increased from 180 MB to 314 MB to handle complex 3D models and IoT data in real time. These findings demonstrate that integrating IFC with IoT enhances data visualization, providing more efficient decision-making tools for construction stakeholders and improving on-site coordination and resource management.
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Susanto Putro, Adi Nugroho, and Agung Nugroho. "Mapping the Journey of Internet of Things (IoT) Research: A Bibliometric Analysis of Technology Advancements and Research Focus." West Science Interdisciplinary Studies 1, no. 08 (2023): 564–75. http://dx.doi.org/10.58812/wsis.v1i08.181.

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The Internet of Things (IoT) has ushered in a new era of connectivity, transforming industries and societies across the globe. This research delves into the IoT research landscape through a comprehensive bibliometric analysis, unveiling technological trends and research focuses. The methodology encompasses data collection, preprocessing, advanced bibliometric techniques, and visualization tools. Results highlight key contributors, collaborative networks, research themes, and influential works. Through analysis and visualization, we gain insights into the trajectory of IoT research, its multidisciplinary nature, and the evolving challenges it addresses. This study serves as a compass for researchers, policymakers, and practitioners navigating the intricate IoT ecosystem.
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Lavalle, Ana, Miguel A. Teruel, Alejandro Maté, and Juan Trujillo. "Improving Sustainability of Smart Cities through Visualization Techniques for Big Data from IoT Devices." Sustainability 12, no. 14 (2020): 5595. http://dx.doi.org/10.3390/su12145595.

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Fostering sustainability is paramount for Smart Cities development. Lately, Smart Cities are benefiting from the rising of Big Data coming from IoT devices, leading to improvements on monitoring and prevention. However, monitoring and prevention processes require visualization techniques as a key component. Indeed, in order to prevent possible hazards (such as fires, leaks, etc.) and optimize their resources, Smart Cities require adequate visualizations that provide insights to decision makers. Nevertheless, visualization of Big Data has always been a challenging issue, especially when such data are originated in real-time. This problem becomes even bigger in Smart City environments since we have to deal with many different groups of users and multiple heterogeneous data sources. Without a proper visualization methodology, complex dashboards including data from different nature are difficult to understand. In order to tackle this issue, we propose a methodology based on visualization techniques for Big Data, aimed at improving the evidence-gathering process by assisting users in the decision making in the context of Smart Cities. Moreover, in order to assess the impact of our proposal, a case study based on service calls for a fire department is presented. In this sense, our findings will be applied to data coming from citizen calls. Thus, the results of this work will contribute to the optimization of resources, namely fire extinguishing battalions, helping to improve their effectiveness and, as a result, the sustainability of a Smart City, operating better with less resources. Finally, in order to evaluate the impact of our proposal, we have performed an experiment, with non-expert users in data visualization.
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Vera-Piazzini, Ofelia, Massimiliano Scarpa, and Fabio Peron. "Building Energy Simulation and Monitoring: A Review of Graphical Data Representation." Energies 16, no. 1 (2022): 390. http://dx.doi.org/10.3390/en16010390.

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Data visualization has become relevant in the framework of the evolution of big data analysis. Being able to understand data collected in a dynamic, interactive, and personalized way allows for better decisions to be made when optimizing and improving performance. Although its importance is known, there is a gap in the research regarding its design, choice criteria, and uses in the field of building energy consumption. Therefore, this review discusses the state-of-the-art of visualization techniques used in the field of energy performance, in particular by considering two types of building analysis: simulation and monitoring. Likewise, data visualizations are categorized according to goals, level of detail and target users. Visualization tools published in the scientific literature, as well as those currently used in the IoT platforms and visualization software, were analyzed. This overview can be used as a starting point when choosing the most efficient data visualization for a specific type of building energy analysis.
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Yang, M. "An IoT platform for smart metal forming." Journal of Physics: Conference Series 2878, no. 1 (2024): 012030. http://dx.doi.org/10.1088/1742-6596/2878/1/012030.

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Abstract Manufacturers in the metal forming industry are paying attention on smart manufacturing with the industrial internet of things (IIoT). An innovation has been occurring by changing metal forming processes from analog to digital by utilizing servo press machine and IT technology for improving efficiency and worth of the mass production manufacturing technology and of ability for the SDGs. This paper aims to introduce initiatives to survey of the current situation and formulation of strategies on the digital transformation in metal forming promoted by the Sokeizai Centre in Japan. An IoT platform for smart metal forming which has been developed based on the strategies is also introduced. The platform consists of sensor system for visualization of forming processes, sensor data wireless communication using local 5G and data assimilation with process simulation. Several sensing systems developed for process visualization are introduced.
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Singh,, Rajat R., Mr Anway A. .Lande, Mr Kunal S. Gadhawe,, Gauri S. Ujawane, Keya S. Gawai,, and Kunal S. Yende. "Real-Time Atmospheric Parameters Versatile Monitoring and Display System: A General Overview." International Scientific Journal of Engineering and Management 04, no. 03 (2025): 1–7. https://doi.org/10.55041/isjem02434.

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This paper presents the development of a Real-Time Atmospheric Parameter Versatile Display and Monitoring System to monitor critical environmental parameters such as temperature, humidity, air pressure, and air quality index. The system employs IoT-based sensors and cloud computing for data acquisition, storage, and visualization. The real-time data display enables users to make informed decisions regarding environmental conditions. Case studies and standard reference values have been utilized to validate the system's efficiency. The paper also includes graphical representations for data interpretation. Keywords: Atmospheric Monitoring, IoT, Real-Time Display, Environmental Parameters, Data Visualization
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Dissertations / Theses on the topic "IoT visualization"

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Nurgazy, Meruyert. "CAVISAP : Context-Aware Visualization of Air Pollution with IoT Platforms." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-76082.

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Air pollution is a severe issue in many big cities due to population growth and the rapid development of the economy and industry. This leads to the proliferating need to monitor urban air quality to avoid personal exposure and to make savvy decisions on managing the environment. In the last decades, the Internet of Things (IoT) is increasingly being applied to environmental challenges, including air quality monitoring and visualization. In this thesis, we present CAVisAP, a context-aware system for outdoor air pollution visualization with IoT platforms. The system aims to provide context-aware visualization of three air pollutants such as nitrogen dioxide (NO2), ozone (O3) and particulate matter (PM2.5) in Melbourne, Australia and Skellefteå, Sweden. In addition to the primary context as location and time, CAVisAP takes into account users’ pollutant sensitivity levels and colour vision impairments to provide personalized pollution maps and pollution-based route planning. Experiments are conducted to validate the system and results are discussed.
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Fjällid, Jimmy, and Adrian Gortzak. "Visualization of IoT Data on Mobile Devices and Modularity of Applications." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211573.

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Wireless sensor networks used in smart cities and elsewhere collect large amounts of sensor data that needs to be made available to respective audiences and have proper visualization. There is a lack of mobile applications capable of visualizing sensor data coming from multiple sources using different protocols and data formats in a clear way; an application that is easy for anyone to use. This paper will present the development and evaluation of Smart City IoT which is an Android application for visualization of IoT data collected from wireless sensor networks. The resulting application Smart City IoT is designed to be modular to the core to allow for easy extension with new sensor types, communication protocols and data formats. It demonstrates that an Android application can be developed to support multiple sources with different protocols and have a unified visualization without requiring extensive set up.<br>Trådlösa sensornät som används i smarta städer och på annat håll samlar in stora mängder data som behöver göras tillgängliga för respektive publik och använda sig av lämpliga visualiseringar. Det är brist på mobila applikationer som är kapabla att visualisera sensordata som kommer från flera källor med olika protokoll och data format på ett tydligt sätt; en applikation som är enkel att använda. Den här rapporten kommer att presentera utvecklingen och valideringen av Smart City IoT vilket är en applikation till Android för att visualisera IoTdata hämtat från trådlösa sensor-nätverk. Den resulterande applikationen Smart City IoT är designad för att vara modulär i sin kärna för att tillåta enkel utbyggnad av nya sensortyper, kommunikationsprotokoll och dataformat. Den demonstrerar att en applikation för Android kan utvecklas med stöd för flera källor, med olika protokoll och ha en gemensam visualisering utan att kräva en omfattande konfiguration.
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Facciani, Enrico. "Iot e data visualization: un'applicazione web-based in un contesto smart campus." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16854/.

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Nel corso degli anni vi è stato un crescente interesse per la tecnologia Smart utilizzata all’interno di ambienti e per come essa potesse influenzare la qualità della vita delle persone. In questo scenario il nuovo Campus di Cesena è stato costruito realizzando il concetto di Smart Campus ovvero si pone come obiettivo la realizzazione di un ambiente connesso tramite dispositivi IoT (Internet of Things) ed in grado di raccogliere grandi moli di dati, portando alla necessità di fornire validi strumenti di rappresentazione visuale delle informazioni con tecnologie e strategie di Data Visualization. Il volume di tesi descrive quindi un sistema web sviluppato con l’obiettivo di offrire una mappa interattiva atta a rappresentare precisamente le planimetrie, e relative informazioni (come orario delle lezioni, informazioni sugli uffici dei docenti), della nuova struttura, collegando tale mappa alla parte di sensoristica affinché sia possibile visualizzare e monitorare le condizioni ambientali (come qualità dell’aria, temperatura, umidità’, e così via) in modo semplice ed intuitivo.
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Nguyen, Neal Huynh. "Logging, Visualization, and Analysis of Network and Power Data of IoT Devices." DigitalCommons@CalPoly, 2018. https://digitalcommons.calpoly.edu/theses/1990.

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There are approximately 23.14 billion IoT(Internet of Things) devices currently in use worldwide. This number is projected to grow to over 75 billion by 2025. Despite their ubiquity little is known about the security and privacy implications of IoT devices. Several large-scale attacks against IoT devices have already been recorded. To help address this knowledge gap, we have collected a year’s worth of network traffic and power data from 16 common IoT devices. From this data, we show that we can identify different smart speakers, like the Echo Dot, from analyzing one minute of power data on a shared power line.
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Zetterman, Björn-Erik Adrian. "Beekeepers usage of IoT : Data collection, sharing and visualization in the domain of beekeeping." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-77814.

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This master thesis is exploring Beekeepers usage of Internet of Things, or “Internet of Bees”. Since most of the prior contributions are focusing on data gathering, the approach to focus on the users needs is central to take next steps in the field of using IoT for Beekeeping. After the introduction a chapter with an overview of current research and commercial solutions are presented. This is followed by a quantitative study with 222 responds, answering what beekeepers like to know about their bees, what platforms used by end users and what the beekeeper as a user expects. An demo of an existing commercial system is set up in real conditions, describing how to mount and configure a demo. Communication, synchronization and presentation is described. A closed user interface and a public user interface are a part of the demonstration. Potential users of this technique are interviewed to gain better understanding of users opinion of the demo. This is followed by another demo using a free of charge app where sound analysis processed with AI is tested. This thesis explains what beekeepers as users of Internet of Things could gain added value to their beekeeping.
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Jensen, Linn. "Usability Evaluation of AWS Quicksight for Real-Time IOT Data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280854.

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Creating visualizations for Internet of Things (IoT) data can be a challenge due to the uncertain and voluminous nature of this type of data. Many different tools have been made to visualize voluminous data. One such tool is Amazon Web Service (AWS) Quicksight. Quicksight is marketed as a scalable system for big data. For IoT developers, the visualization task is only a smaller subtask, which is often not the focus for the developer. Therefore it is in the developer’s best interest to use an easy tool for visualizing their data. To study if Quicksight is a viable tool for developers of IoT systems a user study was executed. Both the perceived usability and measured understanding when using the system were studied. This was done by using the System Usability Scale (SUS) for the perceived usability. For measured understanding some questions regarding trends and errors were asked and a statistical classification was made. The study showed a tendency for the users to rely too much on the visual structure Autograph as well as their difficulty to extract information from aggregated visualizations. In addition it was cumbersome to connect data between different datasets.<br>Att skapa visualiseringar för IoT data kan vara utmanande på Internet of Things (IoTs) oförutsägbara och voluminösa natur. Det finns många olika verktyg för att visualisera data. Ett sådant verktyg är Amazon Web Service (AWS) Quicksight. Quicksight marknadsförs som ett skalbart system för big data. För IoT utvecklare är dock visualisering oftast en mindre deluppgift som inte ligger i fokus. Därför är det viktigt för utvecklare att använda ett lättanvänt verktyg för att visualisera data. För att undersöka ifall Quicksight är ett bra alternativ som verktyg för utvecklare av IoT system så utfördes en användarstudie. Både den uppfattade och uppmätt förståelsen av systemet studerades. System Usability Scale (SUS) användes för att mäta den uppfattade användbarheten. För att mäta den uppmätta förståelsen ställdes frågor om trender och fel i data som sedan delades in i statistisk klassificering. Studien visade att användare tenderar att förlita sig för mycket på den visuella strukturen Autograph samt att dem hade svårigheter att utvinna information från aggregerad visualisering. Därtill ansåg användarna att det var besvärligt att koppla samman flera dataset i en visualisering.
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Zhang, Jie, and Jingbo Wu. "Visualization techniques in Logistics : Case study on the strategy development for logistics network in Internet of Things era." Thesis, Högskolan i Gävle, Akademin för teknik och miljö, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-9919.

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Twenty years ago, if someone said that every object could have its own identity, no one would agree and some might even think that was crazy. However, it turns out that the wild imagination is possible today. With the help of the Internet of Things (IoT), it is convenient to identify any objects with RFID (Radio Frequency Identification) and control the objects via the Internet. In the near future, people will even make the IoT network visible, thus all the information on the Internet can become dynamic and much easier to understand than numbers to be.   At the moment, Guiyang Municipal Science &amp; Technology Bureau is planning to design and apply visualization technique to logistics, the focus of Guizhou Provincial logistic network in the IoT era. This is a good opportunity for different kinds of enterprises in theGuizhoudistrict or even in the whole country.   This thesis focuses on three problems, namely, discussion on the use of visualization techniques in IoT, the necessary preparation of manufacturing industry to join in the visible IoT and measures available that the government can adopt. The exploratory case study in this thesis is about the visualization technique in IoT in manufacturing industry in theGuizhouProvince. A company was selected for the case study to explore the situation inGuizhouProvince. The related information was collected through interviews with relevant personnel and observation in the company. To bring a clear view of the situation and provide enterprises with information for reference, SWOT analysis is adopted to evaluate the strength and weakness in both the internal and external environment. Those measures that government can take to promote its development include unification in standards, support in research and development of technology and emphasis on personal privacy.   The conclusion shows that the use of visualization techniques in IoT can promote information transmission both in effectiveness and efficiency, and control the supply chain as well as special processes in an efficient way. Discussions have been conducted on four techniques which are able to realize visualization, including GPS, RFID, bar code and machine vision. The preparation that needs to be done in a progressive way, of manufacturing enterprises mainly involves three aspects: equipment, system, and management; which have been discussed in detail in this study. Only totally combining the three aspects, not a single one can be omitted, can enterprises achieve the goal of growth in benefit and costs reduction through the use of IoT. Due to immaturity of the emerging network and technology, in the future, the IoT still has a long way to go. Certainly, we should not ignore the followed huge benefit and improvement that IoT can bring.
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Grossi, Gianluca. "Data visualization per la gestione delle aule: un caso di studio." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Il nuovo Campus universitario Ex-Zuccherificio in via Machiavelli a Cesena nasce in un contesto di smart building. Questo edificio offre, infatti, sistemi intelligenti, come impianti di riscaldamento/aria condizionata intelligenti, sensori di presenza in grado di spegnere ed accendere autonomamente luci, sistemi di allarme e ricircoli che permettono di eliminare la CO2 presente all'interno dell'edificio stesso. Trattandosi di un contesto smart è nato sin da subito anche il concetto di smart campus, in grado di fornire a studenti, docenti e personale dell'università sistemi intelligenti e servizi atti a migliorare l'esperienza di studio e della relativa gestione. Proprio in questo ambito, nasce l'idea sullo sviluppo di un applicativo smart, con l'intento di risolvere alcune tipologie di problematiche e difficoltà relative alla gestione delle lezioni svolte all'interno delle aule della struttura. Per definire al meglio tutte le funzionalità che l'applicativo potrebbe implementare verrà svolto un brainstorming, al quale parteciperanno tipologie di utenti differenti, quali: studenti, tecnici, docenti e personale amministrativo. L'obiettivo della tesi è, dunque, quello di creare un applicativo nel quale sia possibile visualizzare, anche con rappresentazioni grafiche adatte, nuove tipologie informazioni. Ad esempio, sarà possibile conoscere le aule libere in un certo istante di tempo anche se prenotate, visualizzare l'andamento dei singoli insegnamenti, confrontare insegnamenti, corsi e aule differenti e valutare scambi di aule nel caso in cui le lezioni presentino un numero troppo elevato di studenti rispetto alla capienza massima dell'aula.
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Nergis, Damirag Melodi. "Web Based Cloud Interaction and Visualization of Air Pollution Data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254401.

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According to World Health Organization, around 7 million people die every year due to diseases caused by air pollution. With the improvements in Internet of Things in the recent years, environmental sensing systems has started to gain importance. By using technologies like Cloud Computing, RFID, Wireless Sensor Networks, and open Application Programming Interfaces, it has become easier to collect data for visualization on different platforms. However, collected data need to be represented in an efficient way for better understanding and analysis, which requires design of data visualization tools. The GreenIoT initiative aims to provide open data with its infrastructure for sustainable city development in Uppsala. An environmental web application is presented within this thesis project, which visualizes the gathered environmental data to help municipality organizations to implement new policies for sustainable urban planning, and citizens to gain more knowledge to take sustainable decisions in their daily life. The application has been developed making use of the 4Dialog API, which is developed to provide data from a dedicated cloud storage for visualization purposes. According to the evaluation presented in this thesis, further development is needed to improve the performance to provide faster and more reliable service as well as the accessibility to promote openness and social inclusion.<br>Enligt World Health Organization dör 7 miljoner människor varje år på grund av sjukdomar orsakade av luftföroreningar. Med förbättringar inom Internet of Things under senare år, har betydelsen av system för miljösensorer. Genom att använda tekniker som molntjänster, RFID, trådlösa sensornätverk och öppna programmeringsgränssnitt, har det blivit enklare att samla in data för visualisering på olika plattformar. Men insamlad data behöver bli representerad på ett effektivt sätt för bättre förståelse och analys, vilket kräver utformande av verktyg för visualisering av data. Initiativet GreenIoT strävar mot att erbjuda öppen data med sin infrastruktur för hållbar stadsutveckling i Uppsala. I detta arbete presenteras en webb-tillämpning, som visualiserar den insamlade miljödatan för att hjälpa kommunen att implementera nya policies för hållbar stadsutveckling, och stimulera medborgare till att skaffa mer kunskap för att göra miljövänliga val i sin vardag. Tillämpningen har utvecklats med hjälp av 4Dialog API, som tillhandahåller data från lagring i molnet för visualiseringssyfte. Enligt den utvärdering som presenteras i denna rapport konstateras att vidare utveckling behövs för att förbättra dels prestanda för att erbjuda en snabbare och mer tillförlitlig service, och dels åtkomstmöjligheter för att främja öppenhet och social inkludering.
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Anderson, Jonathan. "Visualisation of data from IoT systems : A case study of a prototyping tool for data visualisations." Thesis, Linköpings universitet, Programvara och system, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138723.

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The client in this study, Attentec, has seen an increase in the demand for services connected to Internet of things systems. This study is therefore examining if there is a tool that can be a used to build fast prototype visualisations of data from IoT systems to use as a tool in their daily work. The study started with an initial phase with two parts. The first part was to get better knowledge of Attentec and derive requirements for the tool and the second part was a comparison of prototyping tools for aiding in development of data visualisations. Apache Zeppelin was chosen as the most versatile and suitable tool matching the criteria defined together with Attentec. Following the initial phase a pre-study containing interviews to collect empirical data on how visualisations and IoT projects had been implemented previously at Attentec were performed. This lead to the conclusion that geospatial data and NoSQL databases were common for IoT projects. A technical investigation was conducted on Apache Zeppelin to answer if there were any limits in using the tool for characteristics common in IoT system. This investigation lead to the conclusion that there was no support for plotting data on a map. The first implementation phase implemented support for geospatial data by adding a visualisation plug-in that plotted data on a map. The implementation phase was followed by an evaluation phase in which 5 participants performed tasks with Apache Zeppelin to evaluate the perceived usability of the tool. The evaluation was performed using a System Usability Scale and a Summed Usability Metric as well as interviews with the participants to find where improvements could be made. From the evaluation three main problems were discovered, the import and mapping of data, more feature on the map visualisation plug-in and the creation of database queries. The first two were chosen for the second iteration where a script for generating the code to import data was developed as well as improvements to the geospatial visualisation plug-in. A second evaluation was performed after the changes were made using similar tasks as in the first to see if the usability was improved between the two evaluations. The results of the Summed Usability Metric improved on all tasks and the System Usability Scale showed no significant change. In the interviews with the participants they all responded that the perceived usability had improved between the two evaluations suggesting some improvement.
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Books on the topic "IoT visualization"

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Blanuca, Viktor, Leonid Bezrukov, Egor Sherin, and Anatoliy Yakobson. Public geography: Digital priorities of the XXI century. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1863096.

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Social geography, aimed at understanding the territorial organization of society, has a number of digital priorities that have not been analyzed before. They are related to the objects and methods of research, as well as to the methods of visualization and the areas of application of the results obtained.&#x0D; The monograph analyzes the world experience of socio-geographical study of platform economy, telecommunication networks and "smart cities", the use of data mining, models of spatial diffusion of innovations and zoning, visualization through cartographic image, dendrogram and tag cloud, the implementation of research results in geographical expertise, regional policy and administrative-territorial division.&#x0D; It is intended for specialists, students and postgraduates.
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Oreshina, Marina, and Andrey Garnov. Information management technologies in the context of digital transformation. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2186397.

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The textbook provides a general description of the processes of collecting, transmitting, and storing information using information management systems in organizations and enterprises, and discusses information processing methods and tools, including data visualization using the Yandex DataLens service. The creation of a complex of interrelated models of information processes is considered, the development of methods that allow automated solutions to various problems of an applied nature is presented, ways and means of implementing information technologies are shown: methodological, informational, mathematical, algorithmic, technical and programmatic. The basic concepts of modeling information systems and processes are defined, the classification and types of models of information management systems are given. The issues of information system security are considered. Meets the requirements of the latest generation of federal state educational standards for higher education. It is intended for students studying in the fields of 09.03.03 "Applied Informatics", 01.04.05 "Statistics" and 10.03.01 "Information Security".
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Analytics for the Internet of Things (IoT): Intelligent analytics for your intelligent devices. Packt Publishing - ebooks Account, 2017.

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Hernandez, Rodrigo Juan. Building IoT Visualizations Using Grafana: Power up Your IoT Projects and Monitor with Prometheus, LibreNMS, and Elasticsearch. Packt Publishing, Limited, 2022.

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Forte, Maurizio, and Helena Murteira, eds. Digital Cities. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190498900.001.0001.

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The guiding premise of this book is the role of the study of the city, its display and dissemination, in the information network of digital cities. A collection of essays on the ways the city can now be studied and presented, this book surveys the current situation in regard to various visualizations of cities of the past and present, built on historical evidence and scientific hypothesis. The chapters reflect the authors’ wide-ranging fields of interest and experience, from archeology to urban planning. Current methods of visualization, including 3D models and virtual reality simulations, are described and critiqued, primarily in regard to the field of cyber-archeology. Thus, the book offers a view of cities in the digital realm as simultaneously memory, imagination, and experience. In this way, it depicts how the ever-changing character of the past, present, and future is reformulated and re-presented in our digital era.
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Makela, Susanna, Yajuan Si, and Andrew Gelman. Graphical Visualization of Polling Results. Edited by Lonna Rae Atkeson and R. Michael Alvarez. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190213299.013.12.

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This chapter argues that it is wasteful to do a large, expensive poll and then just report a few percentages. Statistical modeling allows researchers to make the most effective use of available data, and graphs make it possible to convey more information more directly, both to general audiences and to specialists. Graphs are an invaluable tool at each step of the modeling process: exploring raw data, building and refining the model, and understanding and communicating the results are all made easier with graphs. In addition, graphical methods can be useful to survey researchers to understand weighting and other aspects of survey construction and analysis. The chapter includes several examples.
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Nidagundi, Padmaraj. Software Testing Strategy Utilizing Lean Canvas Model. RTU Press, 2022. http://dx.doi.org/10.7250/9789934227325.

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The Doctoral Thesis is devoted to the field of software development and its testing. In software testing process, the testing strategy is in a documentation format and it is possible to visualize the testing strategy utilizing the Lean Canvas model. Software testing strategy visualization mindset is the research object of the Doctoral Thesis. The Thesis studies how to reduce the documentation effort by adopting the strategy visualization. The present Doctoral Thesis covers research on the different software development life cycles, different testing types, and test strategy visualization.
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Allwein, Gerard, and Jon Barwise. Logical Reasoning with Diagrams. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195104271.001.0001.

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One effect of information technology is the increasing need to present information visually. The trend raises intriguing questions. What is the logical status of reasoning that employs visualization? What are the cognitive advantages and pitfalls of this reasoning? What kinds of tools can be developed to aid in the use of visual representation? This newest volume on the Studies in Logic and Computation series addresses the logical aspects of the visualization of information. The authors of these specially commissioned papers explore the properties of diagrams, charts, and maps, and their use in problem solving and teaching basic reasoning skills. As computers make visual representations more commonplace, it is important for professionals, researchers and students in computer science, philosophy, and logic to develop an understanding of these tools; this book can clarify the relationship between visuals and information.
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Hara, Mariko, and Tia DeNora. Leaving Something to the Imagination. Edited by John Richardson, Claudia Gorbman, and Carol Vernallis. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199733866.013.0013.

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This article appears in theOxford Handbook of New Audiovisual Aestheticsedited by John Richardson, Claudia Gorbman, and Carol Vernallis. This chapter suggests that an examination of “seeing through music” highlights the cross-sensory or synaesthetic dimension of perception and identification in naturally occurring settings. Using data from interviews with elderly Japanese people who recall their first encounters with the West and Western classical music, it then considers how musically led visualization may be part of how individuals imagine and then orient to phenomena that they may only encounter in the future. This process of virtual seeing highlights music’s role as a “prosthetic technology”—in this case, a tool for visual enhancement, which in turn may provide resources for future action, goals, and aspirations, for “seeing” and acting in and acting upon future events. Finally, to the extent that music enables one to envision the future, the chapter suggests how musical “visualization” can enable new learning.
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Petchey, Owen L., Andrew P. Beckerman, Natalie Cooper, and Dylan Z. Childs. Insights from Data with R. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198849810.001.0001.

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Knowledge of how to get useful information from data is essential in the life and environmental sciences. This book provides learners with knowledge, experience, and confidence about how to efficiently and reliably discover useful information from data. The content is developed from first- and second-year undergraduate-level courses taught by the authors. It charts the journey from question, to raw data, to clean and tidy data, to visualizations that provide insights. This journey is presented as a repeatable workflow fit for use with many types of question, study, and data. Readers discover how to use R and RStudio, and learn key concepts for drawing appropriate conclusions from patterns in data. The book focuses on providing learners with a solid foundation of skills for working with data, and for getting useful information from data summaries and visualizations. It focuses on the strength of patterns (i.e. effect sizes) and their meaning (e.g. correlation or causation). It purposefully stays away from statistical tests and p-values. Concepts covered include distribution, sample, population, mean, median, mode, variance, standard deviation, correlation, interactions, and non-independence. The journey from data to insight is illustrated by one workflow demonstration in the book, and three online. Each involves data collected in a real study. Readers can follow along by downloading the data, and learning from the descriptions of each step in the journey from the raw data to visualizations that show the answers to the questions posed in the original studies.
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Book chapters on the topic "IoT visualization"

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Peddoju, Suresh K., and Himanshu Upadhyay. "Evaluation of IoT Data Visualization Tools and Techniques." In Data Visualization. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2282-6_7.

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Umadevi, K. S., and D. Geraldine Bessie Amali. "Data Visualization and Analysis for Air Quality Monitoring Using IBM Watson IoT Platform." In Data Visualization. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2282-6_2.

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Prachchhak, Gaurav, Chintan Bhatt, and Jaydeep Thik. "Data Logging and Visualization Using Bolt IoT." In International Conference on Advanced Computing Networking and Informatics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2673-8_18.

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Sardar Maran, P., D. Krishna Vamsi, and D. Vidya Shankar. "Weather Data Visualization Using IoT and Cloud." In Cognitive Informatics and Soft Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1056-1_67.

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Van Hoecke, Sofie, Cynric Huys, Olivier Janssens, Ruben Verborgh, and Rik Van de Walle. "Dynamic Monitoring Dashboards Through Composition of Web and Visualization Services." In Internet of Things. IoT Infrastructures. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47075-7_50.

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Okayasu, Takashi, Andri Prima Nugroho, Daisaku Arita, Takashi Yoshinaga, Yoshiki Hashimoto, and Rin-ichiro Tachiguchi. "Sensing and Visualization in Agriculture with Affordable Smart Devices." In Smart Sensors at the IoT Frontier. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55345-0_12.

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Trușculescu, Adriana, Laura Broască, Versavia Maria Ancușa, Diana Manolescu, Emanuela Tudorache, and Cristian Oancea. "Managing Interstitial Lung Diseases with Computer-Aided Visualization." In Hybrid Artificial Intelligence and IoT in Healthcare. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2972-3_12.

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Yusoff, Syadrizzad Syarifuddin, Noor Hidayah Mohd Yunus, Jahariah Sampe, and Hanani Nadzirin. "IoT-Based Wearable Device for Position Tracking and Visualization." In Tech Horizons. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63326-3_6.

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Bhavsar, Swati K., and Varsha H. Patil. "Graph Visualization System for Human Density Computation Using IoT." In International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03146-6_81.

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Wen, Hui, Weidong Zhang, Yan Hu, Qing Hu, Hongsong Zhu, and Limin Sun. "Lightweight IoT Malware Visualization Analysis via Two-Bits Networks." In Wireless Algorithms, Systems, and Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23597-0_51.

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Conference papers on the topic "IoT visualization"

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Addagiri, Dimplesri. "VisiBot: Automated Detection and Visualization of IoT Botnets." In 2025 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET). IEEE, 2025. https://doi.org/10.1109/wispnet64060.2025.11004968.

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Dhakshinamoorthy, JaiAmudhan, Vishwa Varshini Viswanathan, Yamuneswar Annadurai, and V. P. Dhivya. "Parking Reservation and Smart Allocation using IoT." In 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). IEEE, 2025. https://doi.org/10.1109/icvadv63329.2025.10961083.

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M, Dharaneesh V., Aruna S, Hariprasath E, and Somasundaram PL. "Electric Vehicle Battery Parameters Monitoring System using IoT." In 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). IEEE, 2025. https://doi.org/10.1109/icvadv63329.2025.10961381.

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G, Shanmugavadivel, Nathan S, Raguladhithiya S, and Rakesh C. "IoT Based EV Multiple Fault Detection and Battery Management." In 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). IEEE, 2025. https://doi.org/10.1109/icvadv63329.2025.10961827.

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Li, Jing, Mohd Shahizan Othman, Hewan Chen, and Lizawati Mi Yusuf. "Cybersecurity Insights: Analyzing IoT Data Through Statistical and Visualization Techniques." In 2024 International Symposium on Parallel Computing and Distributed Systems (PCDS). IEEE, 2024. http://dx.doi.org/10.1109/pcds61776.2024.10743769.

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Bhatnagar, Shashwat, Aman Singh, Vaishnavi Awasthi, and Somasundaram S. K. "Combining Data Mining and Visualization: UMAP on ROPE." In 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS). IEEE, 2024. https://doi.org/10.1109/icicnis64247.2024.10823114.

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V, Subramani, Vishnu Kumar S, Rishikanth S. R, and Ramadoss Poonkuzhali. "Smart Tunnel Traffic Control System using IoT and Machine Learning." In 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). IEEE, 2025. https://doi.org/10.1109/icvadv63329.2025.10961894.

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Vini Antony Grace, N., S. Balakrishna Reddy, D. Sahaya Lenin, N. Mohankumar, L. M. Merlin Livingston, and M. Rajmohan. "Advancing NICU Monitoring with IoT and Real-Time AI Analytics." In 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). IEEE, 2025. https://doi.org/10.1109/icvadv63329.2025.10961462.

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Kannadasan, Tamilarasan. "Lightweight Contextual LLMs for IoT Data Interpretation in Smart Cities." In 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). IEEE, 2025. https://doi.org/10.1109/icvadv63329.2025.10961648.

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B, Prakash N., Vinslet Mercy J, Gopika G, Meruthula M. K, P. Samuel Pakianathan, and Bindhu A. "GPS and IoT-Based Zone-Specific Vehicle Speed Control System." In 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). IEEE, 2025. https://doi.org/10.1109/icvadv63329.2025.10961404.

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Reports on the topic "IoT visualization"

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Schnitzlein, Daniel. Principles of Data Visualization. Instats Inc., 2024. http://dx.doi.org/10.61700/hltlj4cwyot2c1624.

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This seminar provides an essential introduction to the principles of data visualization for academic researchers and professionals. It focuses on understanding how to effectively communicate quantitative information through visual means, with an emphasis on audience-centric design. Attendees will learn how to select appropriate chart types, declutter visualizations, and enhance clarity, all without relying on a specific software tool. This course is designed to improve data storytelling and ensure that visual presentations of data are both accurate and compelling.
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Moreland, Kenneth, Andrew Bauer, Berk Geveci, Patrick O'Leary, and Brad Whitlock. Leveraging production visualization tools in situ. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/44844.

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The visualization community has invested decades of research and development into producing large-scale production visualization tools. Although in situ is a paradigm shift for large-scale visualization, much of the same algorithms and operations apply regardless of whether the visualization is run post hoc or in situ. Thus, there is a great benefit to taking the large-scale code originally designed for post hoc use and leveraging it for use in situ. This chapter describes two in situ libraries, Libsim and Catalyst, that are based on mature visualization tools, VisIt and ParaView, respectively. Because they are based on fully-featured visualization packages, they each provide a wealth of features. For each of these systems we outline how the simulation and visualization software are coupled, what the runtime behavior and communication between these components are, and how the underlying implementation works. We also provide use cases demonstrating the systems in action. Both of these in situ libraries, as well as the underlying products they are based on, are made freely available as open-source products. The overviews in this chapter provide a toehold to the practical application of in situ visualization.
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Ivanova, Halyna I., Olena O. Lavrentieva, Larysa F. Eivas, Iuliia O. Zenkovych, and Aleksandr D. Uchitel. The students' brainwork intensification via the computer visualization of study materials. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3859.

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The paper the approaches to the intensification of the students’ brainwork by means of computer visualization of study material have been disclosed. In general, the content of students’ brainwork has been presented as a type of activity providing the cognitive process, mastering the techniques and ways of thinking, developing the capabilities and abilities of the individual, the product of which is a certain form of information, as a result of the brainwork the outlook of the subject of work is enriched. It is shown the visualization is the process of presenting data in the form of an image with the aim of maximum ease of understanding; the giving process of visual form to any mental object. In the paper the content, techniques, methods and software for creating visualization tools for study material has exposed. The essence and computer tools for creating such types of visualization of educational material like mind maps, supporting notes and infographics have been illustrated; they have been concretized from the point of view of application in the course of studying the mathematical sciences. It is proved the use of visualization tools for study materials helps to increase the intensity and effectiveness of students’ brainwork. Based on the results of an empirical study, it has been concluded the visualization of study materials contributes to the formation of students’ key intellectual competencies and forming their brainwork culture.
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Canada, Curtis Vincent, John M. Patchett, Ryan Karl Braithwaite, James Paul Ahrens, and Maria Ruiz Varela. Beyond Defensive IO: Leveraging the Burst Buffer for In-transit Visualization Workflows. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1223772.

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Bernstetter, Armin. The Digital Lab Book (software). GEOMAR Helmholtz Centre for Ocean Research Kiel, 2024. http://dx.doi.org/10.3289/sw_7_2024.

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The Digital Lab Book is a provenance visualization and management tool for immersive and collaborative cisual analytics. It acts as a direct companion to the Virtual Fieldwork Unreal Engine application providing a web-application that tracks interaction in the Unreal Engine. Each interaction in Unreal Engine triggers committing a visualization state to the DLB. The interaction history can be managed similar to a git repository by creating branches and stepping back to previous states in a visualized repository graph. The visualization states can be annotated, and organized in an internal mind-map tool. The resulting provenance repository can be exported as an archive and imported again, leading to simple shareability and thus better reproducibility of interactive sensemaking workflows.
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Zhan, Peng. Statistical Analysis and Data Visualization in R. Instats Inc., 2022. http://dx.doi.org/10.61700/dizyg5iq1mqj5469.

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This seminar provides a gentle introduction to R for those looking to use it for applied statistics and visualisation, covering a range of essential topics on basic data manipulation, regression analysis, and visualizing data and results. Examples from multiple fields are used to demonstrate the applications. An official Instats certificate of completion is provided at the conclusion of the seminar.
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Seidametova, Zarema S., Zinnur S. Abduramanov, and Girey S. Seydametov. Using augmented reality for architecture artifacts visualizations. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4626.

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Nowadays one of the most popular trends in software development is Augmented Reality (AR). AR applications offer an interactive user experience and engagement through a real-world environment. AR application areas include archaeology, architecture, business, entertainment, medicine, education and etc. In the paper we compared the main SDKs for the development of a marker-based AR apps and 3D modeling freeware computer programs used for developing 3D-objects. We presented a concept, design and development of AR application “Art-Heritage’’ with historical monuments and buildings of Crimean Tatars architecture (XIII-XX centuries). It uses a smartphone or tablet to alter the existing picture, via an app. Using “Art-Heritage’’ users stand in front of an area where the monuments used to be and hold up mobile device in order to see an altered version of reality.
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Rashevska, Natalya V., Serhiy O. Semerikov, Natalya O. Zinonos, Viktoriia V. Tkachuk, and Mariya P. Shyshkina. Using augmented reality tools in the teaching of two-dimensional plane geometry. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4116.

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One of the successful components of quality assimilation of educational material and its further use in the learning process is visualization of material in secondary education institutions. Visualizations need the subjects of the school course, which are the most difficult to understand and essentially do not have at the beginning of the study of widespread practical application, mostly mathematical objects. That is why this study aimed to analyze mobile tools that can be used to visualize teaching geometry. The object of the study is the process of teaching geometry in the middle classes of secondary schools. The subject of the study is the use of augmented reality tools in teaching geometry to students in grades 7-9. The study used such research methods as the analysis and justification of the choice of mobile augmented reality for the study of mathematics. Analyses displayed two augmented reality tools: ArloonGeometry and Geometry AR. In order to gain geometry instruction’s academic success for the students, these tools can be used by teachers to visualize training material and create a problematic situation. The use of augmented reality means in the geometry lessons creates precisely such conditions for positive emotional interaction between the student and the teacher. It also provided support to reduce fear and anxiety attitudes towards geometry classes. The emotional component of learning creates the conditions for better memorization of the educational material, promotes their mathematical interest, realizes their creative potential, creates the conditions for finding different ways of solving geometric problems.
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Murphy, Joe J., Michael A. Duprey, Robert F. Chew, Paul P. Biemer, Kathleen Mullan Harris, and Carolyn Tucker Halpern. Interactive Visualization to Facilitate Monitoring Longitudinal Survey Data and Paradata. RTI Press, 2019. http://dx.doi.org/10.3768/rtipress.2019.op.0061.1905.

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Surveys often require monitoring during data collection to ensure progress in meeting goals or to evaluate the interim results of an embedded experiment. Under complex designs, the amount of data available to monitor may be overwhelming and the production of reports and charts can be costly and time consuming. This is especially true in the case of longitudinal surveys, where data may originate from multiple waves. Other such complex scenarios include adaptive and responsive designs, which were developed to act on the results of such monitoring to implement prespecified options or alternatives in protocols. This paper discusses the development of an interactive web-based data visualization tool, the Adaptive Total Design (ATD) Dashboard, which we designed to provide a wide array of survey staff with the information needed to monitor data collection daily. The dashboard was built using the R programming language and Shiny framework and provides users with a wide range of functionality to quickly assess trends. We present the structure of the data used to populate the dashboard, its design, and the process for hosting it on the web. Furthermore, we provide guidance on graphic design, data taxonomy, and software decisions that can help guide others in the process of developing their own data collection monitoring systems. To illustrate the benefits of the dashboard, we present examples from the National Longitudinal Study of Adolescent to Adult Health (Add Health). We also discuss features of the dashboard to be developed for future waves of Add Health.
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Calhoun, Christopher, and Donald Monk. Strategy Planning Visualization Tool (SPVT) for the Air Operations Center (AOC). Volume 2: Information Operations (IO) Planning Enhancements. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada524412.

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