Patent Analysis Method Research Articles

Analysis of Cooling Technologies in the Data Center Sector on the Basis of Patent Applications

The cooling of server components has been developed over the past few years in order to meet increasing cooling requirements. The growth in performance and power density increases the cooling demand. To gain a better understanding of the evolution and possible future technology developments in the field of data center cooling, a patent analysis method was used with a focus on the server and computer room levels. After the patent extraction from the European patent database for the period 2000–2023, the search results were classified and analyzed. Most of the patents deal with air or liquid cooling. Since 2015, a technological shift from air to liquid cooling can be identified on the level of patent activities. In conclusion, from the patent analysis, it can be derived that liquid cooling will continue to gain in importance in the future and could also be combined with other approaches in the form of hybrid cooling. However, air cooling may still be relevant, even if the main cooling load is handled by liquid-based approaches. At the same time, the optimization potential for air cooling seems to have been largely exploited in comparison to liquid cooling, as can be seen from the falling number of the patent applications.

Implementation of the emerging and disruptive technologies as the key to technological superiority in modern warfare

The relevance of article is due to the fact that in the conditions of confrontation between countries different in terms of resources, strength of the army and number of weapons, military superiority over the enemy are achieved by using asymmetric and hybrid actions with using innovative high-tech weapons and C4ISR. The search for innovative approaches to the management of troops, new methods of using both traditional types of weapons and new ones created onunconventional physical principles, the introduction of the emerging technologies is an urgent need for the development of the Ukraine defense capabilities - the key to technological superiority in modern warfare. Today, most of the developed countries pay considerable attention to scientific research on the emerging and disruptive technologies, strive to maintain advantages in this field. Based on this, the research of promising scientific and technical trends and determining the potential of their application in military affairs is an important scientific and practical tasks that must be solved. The leading approach to solving this problematic issue is the use of the results of the analysis of scientific publications, reports of leading international security institutions, the use of statistical methods of scientometric and patent analysis, as well as the assessment of the level of attention or expectations. The article presents the results of a systematic analysis of existing technological trends, the most significant new and breakthrough technologies, as well as an assessment of their impact on the sphere of security and defense. A certain author's view on the possibilities of using such technologies is offered. The materials of the article are of practical significance for specialists who are responsible for the formation of directions of scientific and scientific-technical activity, the introduction of innovations and the emerging technologies in the activities of the defense-industrial complex.

Adaptation to climate change: state of art technologies

PurposeThe world is increasingly threatened by climate change. As the dimensions of this danger grow, it becomes essential to develop the most effective policies to mitigate its impacts and adapt to these new conditions. Technology is one of the most crucial components of this process, and this study focuses on examining climate change adaptation technologies. The aim of the study is to investigate the entire spectrum of technology actors and to concentrate on the technology citation network established from the past to the present, aiming to identify the core actors within this structure and provide a more comprehensive outlook.Design/methodology/approachThe study explores patent citation relationships using social network analysis. It utilizes patent data published between 2000 and 2023 and registered by the US Patent and Trademark Office.FindingsStudy findings reveal that technologies related to greenhouse technologies in agriculture, technologies for combatting vector-borne diseases in the health sector, rainwater harvesting technologies for water management, and urban green infrastructure technologies for infrastructure systems emerge as the most suitable technologies for adaptation. For instance, greenhouse technologies hold significant potential for sustainable agricultural production and coping with the adverse effects of climate change. Additionally, ICTs establish intensive connections with nearly all other technologies, thus supporting our efforts in climate change adaptation. These technologies facilitate data collection, analysis, and management, contributing to a better understanding of the impacts of climate change.Originality/valueExisting patent analysis methods often fall short in detailing the unique contributions of each technology within a technological network. This study addresses this deficiency by comprehensively examining and evaluating each technology within the network, thereby enabling us to better understand how these technologies interact with each other and contribute to the overall technological landscape.

A new method of patent analysis to support prospective life cycle assessment of eco-design solutions

Prospective life cycle assessment (LCA) was introduced with the goal to evaluate the environmental sustainability of eco-design solutions (i.e., ideas, prototypes, immature products, emerging technologies) prospectively rather than existing products, at the present time, as in traditional LCA. The main difference lies in the inventory, which is foreground and is based solely on the extraction of data from prospective documents, including patents, although this task, is tricky and can make the final result uncertain. This study proposes a systematic method to collect all the flows about a specific function of the product lifecycle from patent literature for building the foreground inventory of prospective LCA, ensuring comparability, data quality and scale-up. This was done by studying the intersections between patent analysis techniques and LCA requirements for reducing the uncertainty, prescribed by ISO 14040, ISO 14044, Pedigree Matrix and Data Quality Indicators for Life Cycle Inventory Data. The application of the proposed method to a case study related to the production of titanium powders using an innovative process revealed its main advantages in collecting patents and extracting data. Patent search recall and precision are increased. Patents are filtered by seeking a trade-off to ensure time consistency and avoid anomalous fluctuations in the data resulting from predatory patenting strategies. Data reliability and significance are controlled. Results can be expressed without levelling them around the average value, but adding time evolution and forecasting considerations. For example, the global warming potential (GWP) of the innovative process is 1.5 % lower than the GWP of the current process, considering the average patent data of the last 10 years. In addition, this value showed a 1 % increase for each year.

Identify cross-country knowledge flow and innovation trajectory: insights from patent citation network analysis of 5G technology

ABSTRACT Identifying cross-border knowledge flow and innovation trajectory helps a nation to achieve competitive advantages in the technology race. This paper uses a comprehensive patent analysis method and assessment of national innovation capability to visualise the innovation trajectory and core technology flow of 5G technology across countries (regions) from 2002 to 2019. Firstly, we uncover technology leading countries, technology imitating countries, technology participating countries, and technology holding countries by assessing the level of national technology innovation capability and identifying their development trajectory. Secondly, we observe that China, Japan, and South Korea show more prominence in pictorial communication; the United States focuses on waveguide-related technology, while European countries emphasise antenna-related technology. Finally, we study the diffusion and flow of 5G dominated technology and analyze the technology layout of 5G technology leading countries. The novelty of this study lies in revealing the relationship and significance between the national level of innovation trajectory and the technology level of knowledge flow trajectory. The paper provides implications for the investment of scientific research funds and the choice of cooperative countries in the future. The proposed identification framework of cross-border knowledge flow and innovation trajectory can be applied to other science and technology domains.

Effective design knowledge abstraction from Chinese patents based on a meta-model of the patent design knowledge graph

Patent document is one of the most important sources of knowledge for engineering design. Design for patentability has become increasingly important for the success of product in the competitive market. However, language differences hinder the effective extraction of design knowledge from patent databases of different countries using existing patent analysis methods. This paper proposes a new approach to build the patent design knowledge graph to extract useful design information from Chinese patent texts by using natural language processing techniques. A meta-model of the patent design knowledge graph is built based on the language characteristics of Chinese. The proposed method is verified using randomly selected patent text for the effective extraction of Chinese patent design knowledge. The feasibility of the proposed method is further tested to support design of a new storage device for the patentability.

The Evolution of Technological Innovation Ecosystem Among Industry-University-Research Cooperation in the Guangdong-Hong Kong-Macao Greater Bay Area: A Patent-based Approach

This paper using the patent analysis method, the Great Bay Area of Guangdong 15 universities and enterprises for mutual cooperation between the patent information time dimension analysis, clear large bay area of ecological situation, analyze the development trend of Industry-University-Research cooperation, summarizes the large bay area of Guangdong innovation ecosystem evolution process.

Research and demonstration of technology opportunity identification model based on text classification and core patents

The development opportunities of enterprises come from their customers, so it is very important to identify technology opportunities by analyzing of customer needs. This paper proposes a technology opportunity analysis model based on text classification and patent analysis, and gives a solution to find the key points of technology improvement from the perspective of customer needs. The model mainly includes three steps: the first step is to make clear the customer demand information, use text classification method to classify the technical fields, and determine the key research fields; The second step is to use the patent analysis method to find out the related patents in the key research areas, and use the TOPSIS entropy method to calculate the relative fitness of patents, to find out the core patents with the best comprehensive quality; The third step is to extract the specific technical solutions based on the core patents to provide a theoretical basis for enterprises to improve technology and improve customer satisfaction. Bearing steel is selected as the empirical research object in this study, and the research proves the validity of the technology opportunity analysis model.

Rospatent in the Management of Regional Development in the Development Paradigm of the Intellectual Property Area

Introduction. There is a regional policy focus on the IP management due to the increasing role in global value chains and the competitive environment for regional goods and services. The development of a re­gional intellectual property market is particularly important in the face of sanctions challenges. The Federal Service for Intellectual Property works with the regions of the Russian Federation in various areas, the main of which are cooperation within the creation of Technology and Innovation Support Centres and the implementation of tripartite agreements. Methods. Methods of patent analysis, analysis of norma­tive regulations in the field of state regulation and support of innova­tive entrepreneurship and inventors in regions were used. Results and Discussion. Rospatent and the Ministry of Economic Development of Russia determined the composition of indicators that should be considered in the forecast values of the development of the IP area. In 2021, all planned values that assess the effectiveness of the imple­mentation of agreements were achieved. In 2021, Federal Institute for Industrial Property (FIPS) specialists developed Methodological Recommendations for the regions on the formation of a strategic vi­sion and the definition of target indicators for the development of the IP area and Methodological Recommendations for the regions on the construction of an IP management system. Rospatent accumulates and analyzes information on the creation of its own IP management sys­tems in the regions, including mechanisms of state support for innova­tive entrepreneurship and inventors. Conclusion. The challenges faced by the Russian economy directly affect the area of intellectual property. Currently, projects are actively implemented under the Business Climate Transformation Action Plan "Intellectual Property", including the crea­tion of the necessary tax conditions. In 2021, 15 customer-centric servic­es for the provision of public services based on modern domestic digital technologies were created. They are now being tested and will soon be put into operation.

Patent Analysis Using Bayesian Data Analysis and Network Modeling

Patent analysis is to analyze patent data to understand target technology. Patent data contains various detailed information about the developed technology. Therefore, many studies concerning patent analysis have been carried out in the technology analysis fields. Most traditional methods for technology analysis were based on qualitative approaches such as Delphi survey. However, the patent analysis methods based on statistics and machine learning have been introduced recently. In this paper, we proposed a statistical method for quantitative patent analysis. Moreover, we selected drone technology as the target technology for patent analysis. To understand drone technology, we analyzed the patents on drone technology. We searched the patent documents related to drone technology and transformed them to structured data using text mining techniques. First, we visualized the patent keywords to identify the technological structure of a drone. Next, using Bayesian additive regression trees, we analyzed the structured patent data to construct technology scenarios for drones. To illustrate the performance and validity of our proposed research, we presented the experimental results of patent analysis using patent documents related to drone technology.

APPLICATION OF PATENT ANALYSIS FOR FORECASTING THE DEVELOPMENT OF NANOMATERIALS


 
 
 
 In this article, in order to identify the most promising nanomaterials, the method of patent analysis is applied, dynamic series of the number of issued patents in specific classes and IPC groups, as well as patents containing the given names of nanomaterials on the title page, are constructed. Models of the life cycle of the studied nanomaterials were constructed, the coefficients of their maturity and the expected remaining service life were calculated.
 
 
 

제품-기술로드맵 개발을 강화하기 위한 예측모델링에 관한 실증 연구

Due to the recent development of system semiconductors, technical innovation for the electric devices of the automobile industry is rapidly progressing. In particular, the electric device of automobiles is accelerating technology development competition among automobile parts makers, and the development cycle is also changing rapidly. Due to these changes, the importance of strategic planning for R&D is further strengthened. Due to the paradigm shift in the automobile industry, the Product-Technical Roadmap (P/TRM), one of the R&D strategies, analyzes technology forecasting, technology level evaluation, and technology acquisition method (Make/Collaborate/Buy) at the planning stage. The product-technical roadmap is a tool that identifies customer needs of products and technologies, selects technologies and sets development directions. However, most companies are developing the product-technical roadmap through a qualitative method that mainly relies on the technical papers, patent analysis, and expert Delphi method. In this study, empirical research was conducted through simulations that can supplement and strengthen the product-technical roadmap centered on the automobile industry by fusing Gartner's hype cycle, cumulative moving average-based data preprocessing, and deep learning (LSTM) time series analysis techniques. The empirical study presented in this paper can be used not only in the automobile industry but also in other manufacturing fields in general. In addition, from the corporate point of view, it is considered that it will become a foundation for moving forward as a leading company by providing products to the market in a timely manner through a more accurate product-technical roadmap, breaking away from the roadmap preparation method that has relied on qualitative methods.

Innovative development of transport sphere: economic, marketing, educational aspects

The purpose of the research is to study the components and problems inhibiting the development of the interrelationship of economic, marketing, educational aspects in the innovative development of the transport sector. The methodological base is as follows: methods of sociological analysis and conducting surveys on the “Typeform” platform, methods of bibliometric and patent analysis, which are based on search platforms Web of Science and Derwent Innovation. 1000 economists, marketing experts, teachers, and students took part in the survey (Ukraine). It has been determined that the economic aspects consist of the creation and development of a full-fledged international transport and logistics center; a network formation of transportation and logistics hubs; development of multimodal transportation, introduction of modern information and control systems, renewal of the vehicle fleet, incentives towards creation of large local freight forwarders. The problematic issues of the sector have been outlined. It has been found out that the principal directions of innovative development are integration of machine-building and information technologies into transportation tools and infrastructure, etc.

Bayesian Structure Learning and Visualization for Technology Analysis

To perform technology analysis, we usually search patent documents related to target technology. In technology analysis using statistics and machine learning algorithms, we have to transform the patent documents into structured data that is a matrix of patents and keywords. In general, this matrix is very sparse because its most elements are zero values. The data is not satisfied with data normality assumption. However, most statistical methods require the assumption for data analysis. To overcome this problem, we propose a patent analysis method using Bayesian structure learning and visualization. In addition, we apply the proposed method to technology analysis of extended reality (XR). XR technology is integrated technology of virtual and real worlds that includes all of virtual, augmented and mixed realities. This technology is affecting most of our society such as education, healthcare, manufacture, disaster prevention, etc. Therefore, we need to have correct understanding of this technology. Lastly, we carry out XR technology analysis using Bayesian structure learning and visualization.

Evaluating blockchain technology and related policies in China and the USA

Abstract Blockchain has been regarded as an emerging global technological phenomenon. This study uses the patent analysis method to compare the development of blockchain technology in China and the USA. An overview of blockchain policies in China and the USA is presented. Our analyses suggest that policies related to the blockchain stimulate the number of blockchain patent applications and create regional innovation in China. The innovation capability of Chinese enterprises has been more affected by these policies than that of the USA, which is reflected in the fact that Chinese enterprises have become key players in China and actively carry out patent layout in the USA. Although the developmental trend of blockchain technology in China and the USA is almost identical, the USA attaches more importance to safety technology, whereas China pays more attention to the application technology based on the differences in policies.

Research on the development status of AGV parking robot based on patent analysis

With the increasing severity of parking problems, intelligent parking garages are gaining popularity. By the application in intelligent parking garages, AGV robot has opened a new application scenario after industrial and logistics fields. Dozens of enterprises have developed related products. Based on patent analysis method, the development trend, key technologies, regional distribution, advanced agencies and technology roadmap of AGV parking robot are clarified, to provide intelligence support for further development of related technologies and products. Research results indicate that AGV parking robot related technologies are booming. China exhibits great R&D enthusiasm towards this field in recent years, and has applied a large number of patents. In terms of vehicle exchange technologies, mechanical arm-based exchange and board based-exchange are key R&D types. In terms of vehicle guidance schemes, laser navigation, magnetic navigation, electromagnetic navigation and visual navigation are mainstream. Moreover, the improvement of driving mechanism, actuating mechanism and positioning mechanism of AGV parking robot, and the integration of AGV parking robot with stereo garage are the development trends of this field. Thus, countermeasures and suggestions are presented for the enterprises to further develop AGV parking robot related technologies.

Revealing Development Trends in Blockchain-Based 5G Network Technologies through Patent Analysis

The fifth-generation (5G) network has special communication and security requirements including high reliability, low latency, precise automatic control, secure covert transmission, and evidence traceability. The 5G network combined with blockchain technology just meets this demand, so it is driving a rapidly growing volume of patent applications. This study proposes application scenarios, architecture diagrams, and patent analysis methods for blockchain-based 5G network technologies, beginning with a network architecture using mobile edge computing (MEC) and blockchain as independent platform components to solve MEC load pressure. In the patent analysis, a patent cluster map of blockchain-based 5G networks is proposed to analyze the intersection of technical application fields. The bottleneck period of technological development is presented for leading countries and enterprises in the technological development of blockchain-based 5G network, highlighting relative advantages and disadvantages. Specifically, to extract the core international patent classification (IPC) key technologies and their mutual interrelatedness, we use network topology analysis to establish an IPC network topology diagram through node global and local topology characteristics, thus revealing hotspots of IPC technology research and the characteristics of the technology relationship system. The findings provide a very useful reference for the formulation of government strategy to assist in the implementation and development of blockchain-based 5G network technologies for future smart cities.

Analysis of challenges and opportunities in the development of new energy vehicle battery industry from the perspective of patents

Thanks to China's "three verticals and three horizontals" strategy and the important deployment of new energy policies, the new energy vehicle industry has developed rapidly. The rapid development has also led to some problems. From a macro point of use, patent is an important index to reflect the technological innovation of the industry, which can provide reference for the long-term development of the industry. From the microcosmic point of office, patent is the embodiment of the strength of research and development and core competitiveness of an enterprise, and is the weather vane of its innovation layout. Therefore, this paper will use patent analysis method, collect domestic 2002-2019 new energy vehicle patent data, analyze the current situation of china's new energy vehicle industry technology innovation from China's new energy vehicle patent application number, patent application trend, patent technology features, patent application geographical distribution, patent application body and other dimensions, comprehend the automotive industry in the face of new challenges and opportunities in the process of new energy vehicle transformation, and provide some ideas for the development of China's new energy vehicle industry on the basis of analysis of relevant issues.

Cluster approach to analysis of publication titles

Text analysis is a promising field of study with many unsolved problems. First of all, most methods are labor and time consuming. We want to pay special attention to patents. The most important thing in analyzing patents as a reflection of a company’s research activities is not to be late. Technology is emerging very quickly. So speed of response to changes in the world of scientific research is very important now. Therefore, we propose an alternative method of patent analysis based on clustering. Its main advantage is that it does not require different train/test datasets and it could be applied immediately. In this article, we compare different clustering algorithms, because the quality of the conclusions depends on it.

The Use of the Foresight Methods in Developing an Algorithm for Conducting Qualitative Examination of the Research Activities Results on the Example of the Republic of Kazakhstan

In modern conditions, it is interesting to study foresight as an effective tool for identifying new strategic scientific directions. Its purpose is to develop an algorithm for conducting qualitative expertise in the application of the foresight methods with the ability to integrate forecast estimates. Currently, the vast majority of research activities results do not contribute to the innovative development of the state. To solve this problem, it is necessary to ensure a stable systemic relationship between specific sectors of the economy and higher education. The algorithm is developed on the basis of a systematic approach to the foresight methods and the use of the methods of bibliometrics, scientometrics, patent analysis and forecasting. The results and conclusions of this study are: an algorithm has been developed for conducting qualitative examination of the results of scientific activities in order to increase its practical significance, in which the authors propose the foresight methods as the most optimal tool for choosing priority areas of science and technology. Putting this approach into practice will make it possible to increase the efficiency of the foresight methods by both reducing time costs, and rationally using monetary and human resources.