A Trend Analysis Method for IoT Technologies Using Patent Dataset with Goal and Approach Concepts

Gim, Jangwon; Lee, Jinpyo; Jang, Yunji; Jung, Hanmin

doi:10.1007/s11277-016-3276-y

Cited by 11 publications

(4 citation statements)

References 18 publications

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“…Results from a real IoT patent dataset revealed 98.6% expansion relations and 1.4% transition relations among ETI relations. The study also confirms that proposed dictionaries enhance accuracy in extracting ETI relations from patent networks automatically [15]. Han et al developed a unique interactive method, PatStream, for analyzing patent dataset trends.…”

Section: Literature Reviewsupporting

confidence: 68%

The Climate of Innovation: AI’s Growing Influence in Weather Prediction Patents and Its Future Prospects

Cheon,

Mun

2023

Sustainability

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As the severity of climate change intensifies, understanding and predicting weather patterns have become paramount. Major firms worldwide have recognized this urgency, focusing their innovative efforts on weather prediction. In line with this trend, this research delves into the intricate patterns of patent data within the realm of weather prediction from 2010 to 2023. The study unveils a standard timeline for patent grants in this domain, particularly noting a distinctive peak in grant durations between 1500 and 2000 days. The global landscape of weather prediction innovation is highlighted, pinpointing the United States, China, and Japan as pivotal contributors. A salient finding is the ascendant influence of artificial intelligence (AI) in this sector, underscored by the prevalence of AI-centric keywords such as “machine learning” and “neural network”. This trend exemplifies the ongoing paradigm shift toward data-driven methodologies in weather forecasting. A notable correlation was identified between patent trends and academic trends on platforms such as arXiv, especially concerning keywords such as “machine learning” and “deep learning”. Moreover, our findings indicate that the transformer network, given its rising prominence in deep learning realms, is predicted to be a future keyword trend in weather prediction patents. However, despite its insights, the study also grapples with limitations in its predictive modeling component, which aims at forecasting patent grant durations. Overall, this research offers a comprehensive understanding of the patent dynamics in weather prediction, illuminating the trajectory of technological advancements and the burgeoning role of AI. It holds implications for academia, industry, and policymaking in navigating the future of weather prediction technologies.

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Section: Literature Reviewsupporting

confidence: 68%

The Climate of Innovation: AI’s Growing Influence in Weather Prediction Patents and Its Future Prospects

Cheon,

Mun

2023

Sustainability

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“…Jangwon et al [36] explored the role of technology trends in analyzing big data by utilizing patent data and machine learning. Their proposed method can be used to evaluate a target organization and devise strategies for their patented inventions.…”

Section: Existing Iot Research Effortsmentioning

confidence: 99%

Emerging Industrial Internet of Things Open-Source Platforms and Applications in Diverse Sectors

Ayele,

Gavriel,

Gonzalez

et al. 2024

Telecom

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Revolutionary advances in technology have been seen in many industries, with the IIoT being a prime example. The IIoT creates a network of interconnected devices, allowing smooth communication and interoperability in industrial settings. This not only boosts efficiency, productivity, and safety but also provides transformative solutions for various sectors. This research looks into open-source IIoT and edge platforms that are applicable to a range of applications with the aim of finding and developing high-potential solutions. It highlights the effect of open-source IIoT and edge computing platforms on traditional IIoT applications, showing how these platforms make development and deployment processes easier. Popular open-source IIoT platforms include DeviceHive and Thingsboard, while EdgeX Foundry is a key platform for edge computing, allowing IIoT applications to be deployed closer to data sources, thus reducing latency and conserving bandwidth. This study seeks to identify potential future domains for the implementation of IIoT solutions using these open-source platforms. Additionally, each sector is evaluated based on various criteria, such as development requirement analyses, market demand projections, the examination of leading companies and emerging startups in each domain, and the application of the International Patent Classification (IPC) scheme for in-depth sector analysis.

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“…Este tipo de literatura se convierte en una fuente de información primaria para las organizaciones y para realizar análisis de las tendencias en campos particulares (Motta, Puccinelli, Reggiani y Saccone, 2016). Es decir que el Big Data se ha convertido en una herramienta de la inteligencia de negocio o Business Intelligence (BI) (Larson y Chang, 2016;Bondarev y Zakirov, 2015;Chianese, Marulli y Piccialli, 2016;Gim, Lee, Jang, Jeong y Jung, 2016;Lewis, Liaw y Ray, 2015;Mwilu, Comyn-Wattiau y Prat, 2015;Rady, 2015;Santos y Costa, 2016).…”

Section: Marco Teóricounclassified

Big Data: desarrollo, avance y aplicación en las Organizaciones de la era de la Información

Duque-Jaramillo

Enciso

2016

Rev. CEA

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Con el avance de la era de la información y el conocimiento, se han diseñado nuevas técnicas que permiten el desarrollo, creación y evolución de estrategias, instrumentos y aplicaciones que facilitan las acciones internas y externas de las organizaciones. El propósito del presente artículo es evidenciar los resultados de una revisión documental de una de estas técnicas: el Big Data. La metodología utilizada consistió en una revisión de la base de datos Scopus, en una ventana de observación de los últimos dos años (2014-2016). Con base en lo encontrado, se discutió sobre la importancia, ventajas y desventajas de esta aplicación. Se evidenció que el uso del Big Data es una técnica importante que contribuye al manejo de grandes volúmenes de información y que es usada en el campo de la gestión tecnológica en las organizaciones; se demostró la existencia de organizaciones que a través de la implementación y uso del Big Data han logrado aumentar su ventaja competitiva con respecto a las demás, ya que les ha permitido reducir costos en operaciones, facilitar procesos, diseñar nuevos modelos de negocio y tomar decisiones organizacionales que se han vuelto más difíciles de tomar, ya que cada día es más grande el volumen de información que se maneja

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A Trend Analysis Method for IoT Technologies Using Patent Dataset with Goal and Approach Concepts

Cited by 11 publications

References 18 publications

The Climate of Innovation: AI’s Growing Influence in Weather Prediction Patents and Its Future Prospects

The Climate of Innovation: AI’s Growing Influence in Weather Prediction Patents and Its Future Prospects

Emerging Industrial Internet of Things Open-Source Platforms and Applications in Diverse Sectors

Big Data: desarrollo, avance y aplicación en las Organizaciones de la era de la Información

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