Research on Productization and Development Trend of Data Desensitization Technology

This paper systematically reviews the research status and future development trends of time synchronization technology in drone swarms. The paper first elaborates on the basic theory of time synchronization and defines the evaluation indicators for synchronization performance. Then, it deeply analyzes the characteristics and development status of time synchronization technologies such as centralized and distributed synchronization protocols, covering GPS time transfer, RBS, TPSN, FTSP, PTP, ATS, FF, and other synchronization protocols, as well as advanced directions such as time compensation technology under motion, communication technology, and hardware optimization technology. Finally, the paper summarizes the four major development trends of time synchronization technology: further improvement in accuracy, enhanced network robustness, faster clock servoing speed, and optimized communication resource allocation. This study provides an overview of the development of time synchronization technology in drone swarms under dynamic complex environments and analyzes possible future research directions.

In the current era of rapid development of artificial intelligence (AI) technology, the field of education is undergoing profound transformations[1]. As a crucial component of the Japanese language teaching system, the traditional teaching model of "Japanese Audio-Visual-Speaking" faces numerous challenges in cultivating students' comprehensive language application abilities. Against the backdrop of the AI era, this paper delves into the practice and application of AI technology in the teaching of "Japanese Audio-Visual-Speaking." By analyzing the current applications of AI technology in Japanese speech recognition, personalized learning, and virtual simulation scenario construction, combined with specific teaching practice cases, this paper elaborates on the innovative breakthroughs brought by AI technology to "Japanese Audio-Visual-Speaking" teaching, including advantages such as improved learning efficiency, enhanced interactivity, and personalized instruction. At the same time, it objectively examines the challenges faced during the application of AI technology, such as technological dependence, the transformation of teachers' roles, and data security, and provides an outlook on the future development trends of AI technology in "Japanese Audio-Visual-Speaking" teaching, offering references for promoting the modernization of Japanese audio-visual-speaking instruction.

Advances in epitope mapping technologies for food protein allergens: A review

Wastewater treatment technology plays a key role in the process of water environment protection as well as the sustainable development of human society. In the era of artificial intelligence (AI) for society, employing various wastewater treatment technologies to enhance the wastewater treatment efficiency economically and intelligently is of huge importance. To that end, this paper reviews the current status and development trend of wastewater treatment-related technology and its future trend against the backdrop of AI for society. The synergy of wastewater treatment technology and AI is the development trend for water and wastewater industry. Since the future is here, so various AI technologies should be leveraged in almost all sectors inclusive of wastewater treatment industry to boost the efficiency and empower the sustainable development goals as well.

In the face of the contradiction between the increasing demand for agricultural products and the sharp reduction of agricultural resources and labor force, agricultural robot technology is developing explosively on the basis of decades of technical and industrial exploration. In view of the complexity and particularity of the development of agricultural robot technology, it is of great value to summarize its development characteristics and make reasonable judgments on its development trend. In this paper, the type of agricultural robot systems was first discussed. From the classification of agricultural robot systems, the development of main types of monitoring robots, non-selective and selective working robots for crop farming, livestock and poultry farming and aquaculture were introduced in detail. Then the scientific research, core technology and commercialization of different types of agricultural robots were summarized. It is believed that navigation in complex agricultural environments, damage-free robot-crop interaction and agronomy-robot fusion have high scientific value and significance to promote the revolutionary advances in agricultural robot technology. The characteristics of inter-discipline between agricultural robot technology and new materials, artificial intelligence, bionics, agronomy are research focus. The fast damage-free operation, autonomous navigation for complex environments, target detection for complex backgrounds and special design for agricultural robots are considered to be the key technology of agricultural robot development, and the development path is given. Finally, robot-crop interaction simulation, big data support and artificial intelligence are regarded as paths to realize the breakthrough of key agricultural robot technologies. The summary and prospect of this paper are of positive significance to promote the overall development of agricultural robot technology. Keywords: agricultural robot, type, selective, non-selective, trend DOI: 10.25165/j.ijabe.20211404.6821 Citation: Jin Y C, Liu J Z, Xu Z J, Yuan S Q, Li P P, Wang J Z. Development status and trend of agricultural robot technology. Int J Agric & Biol Eng, 2021; 14(4): 1–19.

<p>In recent years, global patent applications of agricultural UAV technology have continued to grow at a high speed every year. In the global ranking of applicants, the top 10 are all Chinese applicants, with Chinese companies and universities far ahead. The patents applied are mainly for operation management, which is closely connected with the application scenarios of agricultural UAVs. In order to study the development trend of agricultural UAV technology, patent applications after 2009 in the field of agricultural UAV technology were analyzed. Characteristics of patent activities of agricultural UAV technology were revealed from perspectives of overall trend, geographical distribution, main competitors, and technical composition, and the development trend of agricultural UAV technology was revealed from a patent perspective. The results showed that agricultural UAV technology was in a stage of technological development, and prospects were promising. In the next few years, the number of patent applications related to agricultural UAV technology and the number of applicants will still maintain a high growth trend. Overseas deployment and raising awareness of patent protection have become the focus. The study results could provide references for the development of the agricultural UAV industry.</p>

This paper reviews the application of intelligent vision enhancement technology in the battlefield environment and explores new research directions. This paper mainly introduces three parts. First, we introduce a solution for enhancing the battlefield situation and using head-mounted displays for soldier combat. Second, we summarize three core technologies supporting intelligent vision enhancement technology: 3D environment reconstruction, tracking and registration, and situational awareness. Third, we summarize three application directions of intelligent vision enhancement technology on the battlefield. Finally, the problems and challenges in the research work are proposed, including current issues such as accurate battlefield situational awareness by augmented reality technology, multiperson collaborative management and data flow, as well as challenges in future battlefield situation enhancement and perception. The future development trend of intelligent vision enhancement technology on the battlefield has been prospected. Two meanings of this paper are as follows: the first is to review the research status of intelligent vision enhancement technology from the technical level and identify the key technical points that may restrict development in the future; the second is to analyze the advantages and disadvantages of intelligent vision enhancement technology from the level of battlefield application and the roles of users. In addition, this paper proposes how to take the lead and take initiative in future wars.

Energy and industry are the two major sources of carbon emissions. The development and application of low-carbon technologies in various fields is the key to achieving carbon peak and carbon neutralization. Hydrogen energy and energy storage are two important technologies for low-carbon development in the energy field, and the steel industry and non-ferrous metal industry are the carbon emission industries that are focused on in the industrial field. Therefore, this paper first focuses on the analysis of the development status of the above technologies, and takes Fujian as an example to further analyze; Then the future development trends of low-carbon technologies in the energy and industrial fields of Fujian Province are predicted. Finally, some suggestions are put forward to promote the development of low carbon technologies.

The Global Navigation Satellite System (GNSS) has been applied to all aspects of social livelihood and military applications and has become an important part of national infrastructure construction. However, due to the vulnerability of GNSS, satellite navigation jamming technology can pose a serious threat to GNSS security applications, and this has become a research hotspot in the field of navigation countermeasures. In this paper, satellite navigation jamming technologies are divided into suppression jamming and deception jamming, and the research status of satellite navigation suppression jamming and deception jamming technologies are sorted by three aspects: jamming technology classification, jamming efficiency evaluation, and jamming source deployment. Finally, the future development trend of satellite navigation jamming technology is summarized.

Energy Internet (EI) is the energy network based on the power system and information architecture. With the access of the renewable energy power generation equipment, energy storage device and various types of power load to power grid, the traditional power system equipment can't meet the diversity of power supply, energy multi-directional flow, active management of power flow and other requirements. How to use the advanced power electronics technology has become the core of the effective control to EI. The state of art of EI at home and abroad is introduced firstly, and the concepts and research progress of EI in different countries are compared in this paper. Then the application status of power electronic technology in EI is introduced. The working principle and function of three important power electronic devices are mainly introduced, which consists of solid state transformer (SST), energy router, and energy switch. Finally, the future development trend of power electronic technology is pointed out based on the analysis of the existing research results at home and abroad.

With the continuous promotion of smart campus construction, the rapid development of big data era greatly promotes the process of University Library Intelligence. Under the background of Smart Library, the construction of book micro service is going to a higher level. In the era of big data and micro data, the application of artificial intelligence technology can be improved, and the convenience of big data service platform can be improved. This paper analyzes and summarizes the research status of micro service in university library, and summarizes the research direction, hot spots and difficult issues of Library micro service. Domestic and foreign related literature database access to relevant documents, guidance, analysis and summary. This paper puts forward the definition of micro service in University Smart Library, and summarizes the research direction of micro service in university library. This paper takes MVs intelligent technology as the research topic, analyzes the development status of MVS intelligent technology, and the future development trend of MVS technology in the era of big data. The experimental results show that this study is of great significance for the establishment of micro service in University Library under the background of smart campus in the era of big data.

Block has the characteristics of decentralization, openness, autonomy; information cannot be altered forged and so on. It is superior to centralized database in data security and data sharing. Many industries have actively carried out the application research of block chain. The judicial departments have very high requirements for data sharing and data security. The application of block is also feasible. This paper studies and analyzes the principle, types and development trend of block technology, and puts forward the value of block application in the management of judicial evidence data. Taking the case investigation evidence information management as an example, we constructed a coalition chain structure of evidence storage, consensus mechanism and block data structure, so as to realize the data sharing and security management within the coalition.

The battery system, as the core energy storage device of new energy vehicles, faces increasing safety issues and threats. An accurate and robust fault diagnosis technique is crucial to guarantee the safe, reliable, and robust operation of lithium-ion batteries. However, in battery systems, various faults are difficult to diagnose and isolate due to their similar features and internal coupling relationships. In this paper, the current research of advanced battery system fault diagnosis technology is reviewed. Firstly, the existing types of battery faults are introduced in detail, where cell faults include progressive and sudden faults, and system faults include a sensor, management system, and connection component faults. Then, the fault mechanisms are described, including overcharge, overdischarge, overheat, overcool, large rate charge and discharge, and inconsistency. The existing fault diagnosis methods are divided into four main types. The current research and development of model-based, data-driven, knowledge-based, and statistical analysis-based methods for fault diagnosis are summarized. Finally, the future development trend of battery fault diagnosis technology is prospected. This paper provides a comprehensive insight into the fault and defect diagnosis of lithium-ion batteries for electric vehicles, aiming to promote the further development of new energy vehicles.

Fruits and vegetables preservation based on AI technology: Research progress and application prospects

With the rapid development of drone technology, drones are increasingly used in urban environments, but they also bring many security risks, such as illegal reconnaissance, smuggling, and terrorist attacks. Therefore, it is of great significance to study the anti-UAV technology in the urban environment. This paper analyzes the advantages and disadvantages of existing technologies and their applicability in the urban environment from the aspects of UAV detection, identification, and countermeasures, and discusses the future development trend of anti-UAV technology, aiming to provide a reference for urban safety protection.