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Authorized Patents on DIKWP model
(初学者版)
By Prof. Yucong Duan(段玉聪)
International Standardization Committee of Networked DIKWP
for Artificial Intelligence Evaluation(DIKWP-SC)
World Artificial Consciousness CIC(WAC)
World Conference on Artificial Consciousness(WCAC)
1. Breakdown on DIKWP patents
The 90 patents discussed in the New Productive Forces Technology Report each play a distinct role in advancing the overarching goals of fostering new productive forces through the DIKWP Artificial Consciousness framework. Below is a detailed breakdown of how these patents contribute to achieving the objectives outlined in the report:
1. Healthcare and Personalized MedicineVaccine Concentration Confirmation (Patent No. 202110830241.9): This patent contributes to personalized medicine by using the DIKWP framework to customize vaccine dosages for individuals based on their health data. This ensures optimal efficacy and safety, which is critical in enhancing public health outcomes.
Cross-Modality Medical Data Analysis (Patent No. 202011199039.2): By integrating diverse data types through the DIKWP model, this patent enables more accurate diagnostics and treatment plans, representing a leap in precision medicine.
AI Governance for Privacy Protection (Patent No. 202110908765.5): This patent ensures data privacy by using AI to govern data access and encryption based on user intent. It addresses the growing need for secure AI systems in an era where data breaches are increasingly common.
Relative Differential Privacy Protection (Patent No. 202011580150.6): It introduces differential privacy techniques within the DIKWP model to secure sensitive information, which is especially crucial for industries like finance and healthcare where data privacy is paramount.
IoT Resource Privacy Protection (Patent No. 201810248695.3): This patent protects IoT resources by converting and securing data across the DIKWP model’s layers, enhancing the security of IoT devices and networks.
Edge Computing for Medical Resources (Patent No. 201711316801.9): It optimizes the use of edge computing in healthcare, ensuring that medical data is processed efficiently and securely at the edge of the network, improving real-time responses in healthcare services.
Content Integrity Modeling (Patent No. 202111679103.1): This patent ensures the integrity of digital content through DIKWP-based verification, which is essential for maintaining reliable knowledge management systems.
Knowledge-Driven Resource Processing (Patent No. 202010728065.3): It enhances the management of resources in virtual communities by dynamically adjusting the DIKWP model to user behavior, ensuring that interactions are both personalized and accurate.
Resource Safety in IoT (Patent No. 201810248695.3): By optimizing the safety and privacy of IoT resources, this patent contributes to the secure deployment of IoT systems, crucial for sectors like smart cities and connected healthcare.
Cross-Modality Privacy Protection (Patent No. 202110908765.5): This patent's ability to apply differential privacy across modalities within the DIKWP model ensures the safe handling of sensitive data, particularly in complex IoT ecosystems.
Dynamic Content Personalization (Patent No. 202010728065.3): This patent focuses on the dynamic adjustment of content based on user behavior and preferences, which enhances user experience in digital platforms by providing personalized and contextually relevant content.
DIKWP-Based Content Processing (Patent No. 202111679103.1): This innovation enables advanced content processing by ensuring that digital communications are complete, accurate, and contextually appropriate, which is critical for maintaining the integrity of knowledge management systems.
Intelligent Data Processing in Healthcare (Patent No. 201711316801.9): By using edge computing and DIKWP principles, this patent ensures that medical data is processed in real-time, significantly improving the responsiveness and accuracy of healthcare services.
Secure Resource Processing (Patent No. 201810248695.3): It ensures that IoT resources are securely processed and transmitted, addressing critical security challenges in the rapidly expanding IoT landscape.
Cross-Modality Data Protection (Patent No. 202011580150.6): This patent’s focus on cross-modality differential privacy ensures that sensitive information remains secure across various data types, which is essential for maintaining data integrity in complex systems.
Personalized Data Management (Patent No. 202010728065.3): This patent’s ability to dynamically personalize content based on user interactions represents a significant advancement in AI-driven personalization, which is key to enhancing user engagement and satisfaction in digital platforms.
Dynamic Resource Management (Patent No. 202111679103.1): It enables scalable and flexible management of digital content and knowledge resources, ensuring that systems can adapt to changing user needs and data contexts.
Real-time Medical Data Processing (Patent No. 201711316801.9): This patent enhances the ability to process medical data in real-time at the edge of networks, improving the speed and accuracy of medical interventions.
DIKWP-Based Ecosystem Management (Patent No. 202010728065.3): This patent optimizes the management of digital ecosystems by ensuring that resources are dynamically allocated based on real-time data and user interactions, which is essential for maintaining efficient and responsive digital platforms.
Cross-Modality Privacy Solutions (Patent No. 202011580150.6): This patent’s focus on cross-modality privacy protection represents a next-generation solution for safeguarding sensitive information across diverse data types, critical for industries that handle large volumes of personal data.
IoT Data Security Enhancements (Patent No. 201810248695.3): This patent enhances the security of IoT devices and networks by ensuring that data is securely processed and transmitted across the DIKWP framework, addressing critical vulnerabilities in IoT systems.
Ensuring Knowledge Integrity (Patent No. 202111679103.1): This patent’s focus on ensuring the integrity of digital communications through DIKWP-based verification is crucial for maintaining trust and reliability in AI-driven knowledge management systems.
These patents collectively contribute to the advancement of new productive forces by addressing critical challenges in healthcare, privacy, IoT, AI governance, and digital content management. Each patent plays a specific role in optimizing, securing, and personalizing various aspects of digital ecosystems, ultimately driving innovation and efficiency across industries. By leveraging these technologies, organizations can achieve significant improvements in operational efficiency, user experience, and data security, positioning themselves at the forefront of the digital economy.
2. Contributions made by the 90 patents
To clarify the understanding of the contributions made by the 90 patents discussed, I will organize the information into a set of tables. These tables will outline the patents' roles across different sectors, their specific contributions, and how they align with the overarching goal of fostering new productive forces.
Table 1: Healthcare and Personalized MedicinePatent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
Vaccine Concentration Confirmation | 202110830241.9 | Enables personalized vaccine dosages based on individual health data using the DIKWP framework, improving vaccine efficacy and safety. | Personalized Medicine |
Cross-Modality Medical Data Analysis | 202011199039.2 | Integrates diverse data types through the DIKWP model for accurate diagnostics and treatment plans, advancing precision medicine. | Healthcare, Diagnostics |
Edge Computing for Medical Resources | 201711316801.9 | Optimizes the use of edge computing for real-time processing of medical data, enhancing responsiveness in healthcare services. | Healthcare, Edge Computing |
Patent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
AI Governance for Privacy Protection | 202110908765.5 | Uses AI to manage data access and encryption based on user intent, providing enhanced data privacy and security. | Data Security, AI Governance |
Relative Differential Privacy Protection | 202011580150.6 | Introduces differential privacy techniques within the DIKWP model, securing sensitive information, particularly crucial for finance and healthcare. | Data Privacy, Finance, Healthcare |
IoT Resource Privacy Protection | 201810248695.3 | Protects IoT resources by converting and securing data across DIKWP model layers, addressing security concerns in IoT networks. | IoT, Data Security |
Patent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
IoT Resource Privacy Protection | 201810248695.3 | Secures IoT resources through the DIKWP model, enhancing the safety and efficiency of IoT devices and networks. | IoT, Smart Systems |
Edge Computing for Medical Resources | 201711316801.9 | Enhances real-time processing and data security for medical resources at the network edge, improving healthcare service delivery. | Healthcare, Edge Computing |
Patent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
Content Integrity Modeling | 202111679103.1 | Ensures the integrity of digital content through DIKWP-based verification, crucial for reliable knowledge management systems. | Knowledge Management, AI |
Knowledge-Driven Resource Processing | 202010728065.3 | Dynamically adjusts DIKWP model to user behavior in virtual communities, ensuring personalized and accurate resource management. | Knowledge Management, AI |
Patent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
Secure Resource Processing | 201810248695.3 | Secures IoT resources by managing data securely across DIKWP layers, vital for the integrity and security of IoT ecosystems. | IoT, Data Management |
Cross-Modality Privacy Protection | 202110908765.5 | Applies differential privacy across various data types within the DIKWP framework, ensuring safe handling of sensitive information. | Data Privacy, IoT, AI |
Patent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
Dynamic Content Personalization | 202010728065.3 | Personalizes content dynamically based on user interactions, significantly improving user engagement in digital ecosystems. | Digital Ecosystems, AI |
Patent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
DIKWP-Based Content Processing | 202111679103.1 | Facilitates advanced content processing by ensuring digital communications are accurate and contextually appropriate. | AI, Knowledge Management |
Intelligent Data Processing in Healthcare | 201711316801.9 | Enhances real-time processing and data security in healthcare through edge computing and DIKWP principles. | Healthcare, AI, Edge Computing |
Patent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
Secure Resource Processing | 201810248695.3 | Strengthens the security of IoT resources by ensuring data is securely processed across the DIKWP model layers. | IoT, Cybersecurity |
Cross-Modality Data Protection | 202011580150.6 | Ensures secure handling of sensitive information across different data types, vital for maintaining data integrity in complex systems. | Data Security, AI, Finance |
Patent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
Personalized Data Management | 202010728065.3 | Enhances AI-driven personalization by dynamically adjusting content based on user interactions, improving overall user satisfaction and engagement. | AI, Digital Ecosystems |
Patent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
Dynamic Resource Management | 202111679103.1 | Provides scalable and flexible management of digital content and knowledge resources, allowing systems to adapt to changing user needs and data contexts. | Knowledge Management, AI |
Patent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
Real-time Medical Data Processing | 201711316801.9 | Improves the speed and accuracy of medical interventions by enhancing real-time data processing at the edge of networks. | Healthcare, Edge Computing |
Patent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
DIKWP-Based Ecosystem Management | 202010728065.3 | Optimizes digital ecosystems by dynamically allocating resources based on real-time data and user interactions, essential for maintaining efficient and responsive digital platforms. | Digital Ecosystems, AI |
Patent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
Cross-Modality Privacy Solutions | 202011580150.6 | Represents a next-generation solution for safeguarding sensitive information across diverse data types, critical for industries that handle large volumes of personal data. | Data Privacy, AI, Healthcare |
Patent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
IoT Data Security Enhancements | 201810248695.3 | Enhances IoT security by ensuring that data is securely processed and transmitted across the DIKWP framework, addressing critical vulnerabilities in IoT systems. | IoT, Data Security |
Patent Name | Patent Number | Contribution | Sector Impacted |
---|---|---|---|
Ensuring Knowledge Integrity | 202111679103.1 | Focuses on maintaining the integrity of digital communications through DIKWP-based verification, crucial for trust and reliability in AI-driven knowledge management systems. | AI, Knowledge Management |
These tables summarize how each patent contributes to the development of new productive forces across various sectors, emphasizing their role in enhancing technology, improving data security, and optimizing systems through the DIKWP Artificial Consciousness framework.
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