Search

Taking Luliang County, Qujing City, Yunnan Province as an example, the spatial and temporal distribution data of carbon storage in the study area were obtained through five periods of land use data and carbon density data in 2000, 2005, 2010, 2015 and 2020. The carbon stor- age module of GIS and InVEST was used to analyze the characteristics of carbon storage changes in Luliang County in the past 20 years. The re- sults showed that over the 20-year period, the area of cultivated land and forest land had slightly decreased, while the grassland area had de- creased significantly, and the areas of water bodies and construction land had increased significantly, with unused land decreasing noticeably. The overall carbon storage showed a declining trend, especially during the period from 2015 to 2020, which was consistent with changes in land use. There were significant differences in carbon storage changes among different land types, with forest land having the highest average carbon storage, while construction land, waters and unused land had relatively low average carbon storage. The spatial distribution of carbon storage had not changed significantly, high-value areas mainly distributed in forest areas, and low-value areas mainly distributed in construction land and cultivated land concentration areas. In summary, there was a close correlation between land use change and carbon storage change. Factors such as urbanization and reduced cultivated land may lead to a decrease in carbon storage, while measures such as protecting forests and wetlands may help maintain or increase carbon storage. [ABSTRACT FROM AUTHOR]

A key issue of the industrial Internet of Things data storage is ensuring the large volume of data generated by devices and sensors in the environment is stored and processed in real-time, which prevents unauthorized access, tampering, or misuse of the data. Blockchain has features of traceability and tamper-resistance, making it suitable for secure data storage and sharing in industrial Internet of Things. However, problems such as low throughput and poor scalability are existing. To address these issues, this paper proposed a blockchain multi-chain storage model tailored for the industrial Internet of Things. Firstly, it used multiple blockchains to process data in parallel, where different blockchains defined distinct datasets to achieve physical isolation of data. Secondly, it eliminated the certificate authentication of SM2 algorithm, and involved multiple key generation centers in key generation, making it more suitable for industrial IoT scenarios. Finally, it used a hybrid encryption algorithm of SM2 and SM4 for encrypting communication data to enhance encryption and decryption speeds while ensuring data security. Experimental results demonstrate that the multi-chain storage structure significantly improves throughput compared to a single-chain structure, while also further enhancing data security. [ABSTRACT FROM AUTHOR]

Intelligent network service is a distinctive service of railway dispatching communication, significantly enhancing the command efficiency of railway transportation. The GSM-R system implements intelligent network services based on circuit-switched methods such as No. 7 signaling network, which is not applicable to IP-based 5G-R networks. To achieve intelligent network services based on 5G-R, it is necessary to analyze the business requirements of 5G-R intelligent network and conduct research on the implementation scheme of 5G-R intelligent network services. First, we analyzed the business scenarios and related data storage requirements of the intelligent network and proposed two solutions to implement 5G-R intelligent network services. Then, we compared the two solutions in terms of implementation complexity and fault impact range, recommending a two-tier architecture with a shared intelligent network device for the entire railway and local intelligent network units. On this basis, we proposed a 5G-R intelligent network system architecture and explained the function of each component. Finally, based on the proposed scheme, we analyzed the implementation processes for various intelligent network services, including function number registration, deregistration, inquiry, forced deregistration, functional addressing, location-based call restriction, and location-based addressing. This approach not only enables intelligent network services and improves service addressing efficiency but also minimizes the role of shared devices, reducing the impact of shared device failures on services and enhancing the overall reliability of the 5G-R system. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Coal Science & Technology (0253-2336) is the property of Coal Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Shanghai Jiao Tong University (1006-2467) is the property of Journal of Shanghai Jiao Tong University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Shanghai Jiao Tong University (1006-2467) is the property of Journal of Shanghai Jiao Tong University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Medical Education Technology is the property of China Medical Education Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To solve the problems of the existing construction quality inspection with time-consuming information retrieval and data integrity concerns, according to the requirement analysis of engineering quality acceptance management, the traceability and immutability of blockchain and the efficiency and responsiveness of information processing of human-machine interaction (HMI), the construction quality inspection system based on blockchain and HMI was proposed. The proposed system was verified by the real-world case, and the performance evaluation was conducted by read/write latency and data storage. The results show that under ideal network conditions, the read and write latencies for construction quality data are below 1.5 seconds and 3.5 seconds, respectively. The storage capacity for accumulating construction quality acceptance transaction data is within the manageable range. The results align with the established performance requirements for blockchain systems as outlined in existing research. [ABSTRACT FROM AUTHOR]

Applying blockchain technology to the cloud manufacturing platform (CMfg) endowed it with features such as decentralized resource management, distributed data storage, and platform robustness. However, during the implementation of service optimization composition, challenges are encountered, including the need for centralized resource scheduling, data entry dependence on the moment of block generation, and a lack of dynamic adaptability in the execution scheme. To address this, this paper proposed a solution in the form of cloud dual-chain oriented to service optimization composition. The cloud dualchain comprised a manufacturing service chain (MSC) and a process data chain (PDC). It segregated the management of service resources and composition scheme into distinct chains, allowing the CMfg to reconcile blockchain characteristics with real-world service collaboration needs. The manufacturing service within the cloud dual-chain was self-managed by the enterprise, and the MSC chain was formed by smart contracts based on task orders, balancing distributed and centralized management. The PDC, generated based on service composition, recorded process data in parallel. In case of service failure, a new service was invoked in the corresponding MSC node, updating the information in the PDC node to ensure dynamic adaptability of the execution plan. Experimental results demonstrate that cloud dual-chain facilitates flexible service management, distributed parallel entry of process data, and provides dynamic adaptability to execution scheme. Cloud dual-chain can effectively support the development of CMfg. [ABSTRACT FROM AUTHOR]

With the continuous development of medical information sharing, attention is gradually being paid to data security, data consistency, data controllability, and data accuracy. Blockchain technology is considered an effective means to solve the problem of medical information sharing due to its characteristics of decentralization, immutability, and traceability. Many blockchain-based medical information sharing solutions have emerged. This study aimed to comprehensively analyze blockchain-based medical information sharing solutions, explore their advantages, shortcomings, and challenges, provide references for future research, and promote further development and improvement of solutions in this field. The study summarized blockchain-based medical information sharing solutions with a focus on blockchain patterns, data security storage, access control strategies, and integrity verification. It analyzed the strengths and weaknesses of different solutions, compared their characteristics, and explored their effectiveness in solving the problem of medical information sharing. It proposed future research directions and development suggestions to enhance the further improvement and innovation of blockchain-based medical information sharing solutions. This research focused on blockchain-based medical information sharing solutions, covering the application of blockchain technology in medical information sharing, data security, access control, integrity verification, and other related topics. Through systematic comparison and analysis, the study discussed the strengths and challenges of current solutions, providing guidance and references for future research and practice. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Ordnance Equipment Engineering is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A blockchain-based agri-food traceability can be expected to remedy the inherent trust within agri-food supply chains. However, the immutable and redundant nature of traditional blockchain storage has posed formidable challenges, particularly on the scalability of data storage for blockchain nodes. Agri-food traceability has also been limited to historically impede the widespread adoption in recent years. In this study, an efficient storage and query model was introduced to specifically design for the agri-food supply chain traceability, in order to leverage the concept of a redactable blockchain. The cyclical nature of agri-food traceability data was examined to form the model. The lifecycle of the supply chain was analyzed for the agri-food products. The opportunities were identified for streamline data management. A key innovation involved the strategic offloading of traceability data over the lifecycle. Storage resources were optimized to preserve the essential traceability functionalities. The information remained accessible throughout the supply chain journey. Furthermore, the counter Bloom filter was incorporated to enhance the operational efficiency of data offloading. The high false positive rates were reduced for the data manipulation in redactable blockchains. False positives were effectively reduced to significantly enhance the overall query efficiency of the agri-food traceability system, thereby facilitating expedient access to accurate supply chain information. A counter Bloom filter was operated to leverage the probabilistic hashing techniques. The large datasets were efficiently managed and queried to minimize the occurrence of false positives. A robust mechanism was translated to verify the accuracy of traceability information post-data offloading in the context of the agri-food traceability system. A compact representation of recently offloaded data was maintained to employ the efficient hash functions. The counter Bloom filter effectively reduced the likelihood of mistakenly, in order to identify non-existent data during queries. The efficacy of the improved model was underscored to validate the comprehensive empirical data. The extensive experiment was conducted over a simulated 60-month operational period. Notably, the better performance of the model was achieved with a remarkable 48.70% reduction in storage volume, compared with the conventional agri-food blockchain traceability systems. This reduction was attributed to the strategic lifecycle-based data management, and the storage was optimized without compromising data integrity. The improved model was often verified in a simulated scenario involving 1000 block records and a 30% data offloading rate. There was a notable 21.00% decrease in the false positive rates, indicating the efficacy of the integrated counter Bloom filter with the data accuracy post-offloading. Moreover, there was a commendable 19.02% enhancement in the data query efficiency, compared with the traditional approaches. The compelling solution fully met the operational demands of largescale agri-food supply chain environments. The blockchain-based agri-food traceability was presented to facilitate the widespread deployment. A significant advancement was achieved in data integrity with the pragmatic storage and query optimizations in the field. Beyond technical innovation, a robust framework was offered to enhance transparency, accountability, and consumer confidence across agri-food supply chains. Looking ahead, the scalability and adaptability of the improved model can promise to support the diverse applications within the agri-food sector. Product authenticity and quality assurance can be enhanced to enable efficient recalls and regulatory compliance. As the blockchain continues to evolve, insights can be gained to pave the way for future advancements in agri-food traceability and industry-wide transformation toward a more resilient and sustainable supply chain. [ABSTRACT FROM AUTHOR]

The compression strategy plays an important role in the performance of IoT time series data storage system. However, the current compression strategies can not adapt to the characteristics of NVM and IoT time series data. This paper proposes a polymorphic cooperative compression strategy for IoT time-series data based on NVM. Firstly, the overall structure of IoT time series data is given. Then, to address the consistent patterns in IoT time series data and the different granularity between user-space and kernel-space operations on NVM, a dual-compression strategy is devised. Initially, a lightweight compression method is applied directly as IoT time series data is received in user-space. This method efficiently reduces the volume of data for storage, while minimizing the impact on the timeliness of data storage. Moreover, a deep compression algorithm is designed for the kernel-space, primarily focusing on querying and analyzing anomalous time series data. Additionally, to address the competition for NVM bandwidth between deep compression and data storage, a dynamic adjustment algorithm that guarantees write bandwidth is proposed. Finally, a prototype of the polymorphic cooperative compression strategy is implemented and YCSB-TS is used to evaluate the results. The results show that the proposed method can effectively improve the write throughput of IoT time-series data by up to 161.3% and reduce the storage space by up to 14.6%, compared with InfluxDB, OpenTSDB, KairosDB and TVStore. [ABSTRACT FROM AUTHOR]

With the development of measurement techniques and numerical simulation technologies, data-driven turbulence research has become a new approach in this field. In China, several wind tunnel laboratories and supercomputing centers have been established for turbulence simulations, resulting in a substantial collection of turbulence data. However, there is currently no centralized turbulence data management platform in China, which makes it difficult to achieve the exchange and share of the expensive experimental and simulation data. Turbulence data is characterized by its large volume, high dimensionality, precision and heterogeneity, which present problems in terms of storage, access and management efficiency. A turbulence big data distributed storage system called TDFS was designed, specifically targeting typical flow problems in aviation, aerospace, and marine applications. Considering the access characteristics of turbulence big data, the novel metadata management methods and data access interfaces were designed in TDFS. Experimental results demonstrate that TDFS achieves interface response speed improvements of 54.38% and 57.7% compared with HDFS and GlusterFS, respectively. Additionally, to reduce the storage overhead of turbulence big data, a lazy replication compression mechanism based on HDF5 was designed, resulting in 34% reduction in storage space, compared to the original replication storage approach. [ABSTRACT FROM AUTHOR]

As a key node in the intersection of agricultural and industrial data, the machine-picked cotton processing jurisdiction link different data sources and types, which makes it impossible to trace and analyze the root cause of machine-picked cotton data with quality problems in a timely and effective manner. In order to realize the tracapbility of the whole process quality information of machinepicked cotton products, the machinepicked cotton processing and inspection process were taken as the research object, a business model of the cotton processing link based on the identification resolution was designed; and a data traceability method based on the structured metadata mapping relationship of identification was constructed; and then various cotton data tables in the data warehouse were imported into the metadata management platform in full volume, which supports the storage of full volume information tables through the means of construction of Hive statements and incremental synchronization and other means to store the metadata structure mapping relationship of full-volume information tables and fields. Finally, the aggregated query method was used and the blood structure between tables and fields were retained, the data in the business model in the metadata repository were effectively searched and queried to help data analysts quickly locate the source of problematic data and the processing and detection process. [ABSTRACT FROM AUTHOR]

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Geotechnical and geological information is an important basic resource for urban planning, design, and engineering construction. Accurate geological data provides important support for Xiongan’s planning, construction, urban operation management, and safety assurance. However, the information of Xiongan faces problems such as difficulty in ensuring data source quality, poor synchronous construction of digital twin cities and cannot provide accurate geological data support for urban planning, construction, and operation. In response to the above issues, the construction of the Xiongan New Area geotechnical and geological spatiotemporal information service platform has been carried out, and the smart service management platform system, standard system, and management system covering the entire chain of geotechnical and geological data source supervision, database construction, real-time monitoring, and shared application have been constructed. The system has systematically solved the difficulties of geotechnical and geological service urban planning, design, construction, operation, and management has been established. [ABSTRACT FROM AUTHOR]

This paper intends to solve the problems of cumbersome modification of station data in the traditional interlocking table structure and low efficiency in route search based on interlocking table, and to improve the convenience of data storage in the interlocking system and the efficiency of station route search. It presents a station model using an adjacency list structure, and on this basis, a new route search model using an improved depth first search algorithm. The proposed station model based on adjacency list can reduce the difficulty of station data maintenance, and improve the efficiency of route search when used together with an improved depth first search algorithm. [ABSTRACT FROM AUTHOR]

[Objective] Grain storage is an extremely complex process that is easily affected by the external environment. A temperature gradient is formed between the inside and outside of the grain pile, making the pile prone to rot and mildew. [Methods] To reduce the loss of grain and the occurrence of pests and mildew, this study uses a self-made test chamber and detection system to detect the grain temperature at different locations of corn grain storage and analyze the temperature change and the heat transfer process across the entire grain pile. Next, the prediction of corn grain storage temperature based on the LSTM algorithm is investigated by analyzing the corn grain storage test data. Based on the attributes and characteristics of the data, linear algebra, probability theory, and algorithm principles are applied to form a comprehensive decision and predict the corn grain storage temperature. [Results] The test results show that the atmospheric temperature outside the bin greatly influences the grain temperature, and the grain temperature in the bin falls behind that outside the bin as well as the ambient temperature. The temperature in the bottom No. 2 position always remain slow during the detection period, while the highest temperature occurs in the top No. 12 position. [Conclusions] Based on the analysis of grain pile temperature change, this study investigates the prediction of grain storage temperature based on the LSTM algorithm. Compared with the experimental values, the accuracy of the test sets of the first, second, third, and fourth layers is 0.62, 0.89, 0.83, and 0.79, respectively. Thus, the prediction results of the second and third layers of the grain pile have higher accuracy. The bottom and top layers of the grain pile in the test bin are easily affected by the ambient temperature, the heat exchange rate of the grain pile is fast, and the temperature changes rapidly, yielding less accurate prediction results for these layers. The research presented in this study provides new insights into the prediction of grain storage temperature. [ABSTRACT FROM AUTHOR]

A new data storage design applied in a single-photon LiDAR system is efficiently achieved based on SD card with the help of Xilinx FPGA platform. In response to the data characteristics of single-photon LiDAR, it is verified that the SD card, through the DDR3 chip, can effectively perform the role of peak shaving and valley filling in the SPI mode of version 2.0. This ensures that a single SD card can stably operate at a maximum write rate of 5 Mb/s. Furthermore, it is demonstrated that utilizing a multi-SD card expansion approach can further enhance the write speed and increase the storage capacity to over 0.5 TB. If the operation SPI mode is upgraded to version 3.0, the storage capacity of a single card can reach 2.0 TB theoretically. This storage system has been successfully applied in the imaging experiments of single-photon LiDAR. Due to the advantages of SD cards, such as lightweight, stability, and anti-interference, the new storage solution shows significant improvements in terms of data capacity, integration, energy consumption, and cost compared to current conventional solutions. The SD card storage solution is highly cost-effectiveness and enables mass production of single-photon LiDAR. This new data storage solution has advantages in practical applications of low-load, highly integrated single-photon LiDAR products such as UAVs, shipborne LiDARs, and vehicle-mounted LiDARs. [ABSTRACT FROM AUTHOR]

For the security requirements of ASIC(Application Specific Integrated Circuit) chip data storage, especially eFlash(embed Flash) stores security risks for sensitive data, an eFlash secure storage controller based on AES(Advanced Encryption Standard) algorithm is designed. Compared with traditional encryption designs based on software and hardware platforms, ASIC chip platform has the advantages of high integration and fast operation. By analyzing the principle of AES algorithm, it is proposed to use AES algorithm to encrypt the stored data on eFlash controller. The data transmission rate is a key factor in eflash performance, AES algorithm is implemented by pipeline structure to improve data throughput, the throughput rate can reach 1.4 Gbit·s-1with consumption of 9.96×10-10 m² logical resources. This encryption scheme enhances eFlash storage security while consuming less logical resources and encryption delay, effectively prevents external attacks on the storage information of ASIC chips. [ABSTRACT FROM AUTHOR]

Blockchain integrates cryptography, distributed consensus, P2P networking, and timestamping technologies, which can achieve functions such as consistent data storage, tamper resistance, and non-repudiation, solving the trust issue in open networks that do not rely on any trusted third parties. The decentralized nature of blockchain gives it a broad range of application prospects. However, as the applications become more extensive and profound, the scalability issue has become a key challenge for unlocking the full potential of blockchain technology. Blockchain is essentially still a distributed system. Based on this, this paper reviewed the research work on blockchain from the perspective of the scalability of distributed systems. It discussed the ideas and methods for blockchain scalability from three aspects: on-chain scalability, off-chain scalability, and cross-chain scalability. Then it summarized the research achievements in recent years. Building on the summary and analysis of existing solutions, this paper explored the challenges faced in improving blockchain scalability and discussed future research trends in this area. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Academic Library & Information Science is the property of Anhui University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Smart Rail Transit is the property of Smart Rail Transit Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

BACKGROUND: Exercise is an important trigger of the high level of oxidative stress in the airway. In elite athletes, sports asthma and exercise-induced bronchial stenosis are related to airway inflammation. Accurate monitoring of homeostatic perturbations following various psychophysiological stressors is essential in sports and exercise medicine. It is of great practical importance to explore non-invasive methods of collecting and analyzing biomarkers that are capable of providing accurate information regarding exercise-induced physiological and psychological stress.OBJECTIVE: To summarize the characteristics of oxidative stress, inflammatory response and acid-base changes in the airway detected by exhaled breath condensate detection during intense exercise, competition and overtraining. METHODS: CNKI, Baidu Scholar, and PubMed were retrieved for relevant literature on the application of biomarkers in exhaled breath condensate for detecting the airway health status of healthy people and patients with respiratory diseases during exercise at home and abroad from June 1980 to September 2022 using the keywords of “exhaled breath condensate, exercise,” “airway inflammation” “airway oxidative stress,” “exercise-induced bronchoconstriction, EIB,” “exerciseinduced asthma, EIA.” Retrieved literature was summarized to lay a preliminary foundation for constructing non-invasive and convenient monitoring means and guarantee of airway health in exercise population. RESULTS AND CONCLUSION: Moderate exercise increases the pH value of exhaled breath condensate in different populations, while repeated strenuous exercise can lead to airway acidification. Exercise increases the levels of pro-oxidants in exhaled breath condensate, and the duration and intensity are related to the generation of pro-oxidants. Exercise under special environmental conditions (pollution, cold, dehydration and altitude) exacerbates oxidative stress levels and inflammation degree in the airway. Elevated cytokines, inflammatory mediators, and acute changes in airway pH in exhaled breath condensate are associated with the development of exercise-induced bronchoconstriction. In view of the clinical standardization of specimen collection, processing, storage and data analysis, the application of exhaled breath condensate technique in the field of sports science should standardize the collection and processing process, determine sensitive biomarkers and establish evaluation criteria corresponding to exercise load and stress level. [ABSTRACT FROM AUTHOR]

Copyright of World Nuclear Geoscience is the property of World Nuclear Geoscience Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering Management / Gongcheng Guanli Xuebao is the property of Journal of Engineering Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The existing high-speed railway operation monitoring data management system consists of four main components, which are data processing, result transfer, visual display and report output. The system has disadvantages including weak visualization and data mining, and lacks of the integration with geology information. Based on the fact, a system architecture was built by using the B/ S mode, which included data layer, service layer, and presentation layer, for storage, distribution, and display of operation monitoring data. The architecture achieved front-end and back-end separation using the ASP. NET and Vue. js framework. Aiming to enhance the system's GIS map visualization and spatial analysis capabilities, the highspeed railway operation monitoring data management system incorporated with the Openlayers which enabled maintenance of monitoring results from multiple data sources, information mining of monitoring data, and visualization of results. The system's effectiveness was verified through application cases involving two operational monitoring projects, covering a total distance of 300 km and comprising 17 061 monitoring points with 11 periods of monitoring data. The research results demonstrate that the system has effectively improved data storage efficiency through pre-entry of points and the combination and import of multiple coordinate systems. The availability of multiple statistical charts, such as the one map module and deformation curve, enriches the display of results and can serve as an effective tool for railway management and maintenance departments in handling high-speed railway monitoring data. [ABSTRACT FROM AUTHOR]

Copyright of China Brewing is the property of China Brewing Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Liquid Crystal & Displays is the property of Chinese Journal of Liquid Crystal & Displays and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ordnance Industry Automation is the property of Editorial Board for Ordnance Industry Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objectives: Due to the limitation of data transmission and storage cost, the sampling rates of most trajectories are low and uncertain. However, detailed urban models often require high-frequency trajectory data, for example, microscopic vehicle emission models often require trajectory data with a time interval of 1 s. Therefore, it is of great significance to reconstruct the trajectory data using the technique of interpolation. Methods: We propose a method to interpolate low-frequency trajectories considering the road intersections and vehicle modes. First, high-frequency trajectory data are used to train the theoretical probability model of vehicle motion modes. Second, the road intersections are used to determine the mode sequence between low-frequency trajectory points. Third, the theoretical probability model is solved by the genetic algorithm to calculate the distribution of time and distance of each mode, and then complete the high-frequency reconstruction of trajectory points. Results: The results suggest that the proposed method performs better than the conventional interpolation method by decreasing the root mean square error (RMSE) value with 62.9%, and better than the mode method that does not consider the road intersection by reducing the RMSE value by 12.2%. Conclusions: Therefore, the proposed method is valuable for the reconstruction of low-frequency vehicle trajectories. [ABSTRACT FROM AUTHOR]

The construction digital measurement and control system for self-propelled harge for immersed tube section transportation and installation is the key technology to ensure the long-distance safe transportation and high-precision docking uf immersed tube sections. The system realizes the functions of construction parameter setting, construction and design document management, construction process automatic control, horizontal height orientation and display, construction data storage, construction state playback and restoration, and preparation of construction reports, etc., thus realizing full-time on- line tracking and monitoring of equipment operation, quality of communication and signal, and safety waming of harge and immersed tube positions during the whole construction process. A test and control operation mode of integrating undocking, Boating transportation, mooring and installation of an immersed tube section is systematically constructed, and a data acquisition mode that multiple GNSS signal sources based mainly on BDS data sources are synchronously and independently operated and signal sources can be intelligently switched is adopted to obtain a large number of high-precision data which are fed back in time to the floating transportation and docking control system to realize the visual interface between multi-source data, such as navigation information and meteorological information, and the digital twin of the real construction state, provideing guarantee for rapid, accurate and safe transportation and installation of immersed tubes. [ABSTRACT FROM AUTHOR]

Due to the strong privacy of industrial Internet of Things( IloT) data, safely storing the data has become a key issue in the development of IloT. This paper proposed a model of IloT data storage based on consortium blockchain to solve this problem. In order to ensure the efficiency and security of data storage, firstly, the method built a node status credit evaluation model based on the original PBFT algorithm and added a voting mechanism. Secondly, combined with node status, it set multiple key generation centers in SM9 digital signature algorithm to jointly participate in key generation. This paper experimentally analyzed the throughput, consensus delay and communication overhead of the model. The experimental results show that compared with the traditional model, the proposed model further guarantees the security in terms of data storage, reducing hacker attacks and preventing data leakage or tampering, and increases the communication overhead by 40%. [ABSTRACT FROM AUTHOR]

Copyright of Agricultural Outlook (1673-3908) is the property of Institute of Agricultural Information, Chinese Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Smart Rail Transit is the property of Smart Rail Transit Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ordnance Industry Automation is the property of Editorial Board for Ordnance Industry Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Most existing class incremental learning methods employ data storage or extended network structures, but they cannot effectively alleviate the catastrophic forgetting problem due to memory resource limitation. To solve this issue, this paper proposed a brain-inspired generative replay approach. Firstly, it used VAE-ACGAN to simulate the memory self-organizing system to improve the quality of the generated pseudo-samples. Then, it used a shared parameter module and a private parameter module to protect the extracted features. Finally, the potential variables in the generator used a Gaussian mixture model to select specific replay pseudo-samples. The experimental results of the proposed method on MNIST, Permuted MNIST and CIFAR-10 show that the classification accuracy of the proposed method is 92.91%, 91.44% and 40.58%, respectively, which is significantly better than other class incremental learning methods. Furthermore, the backward transfer and forward transfer metrics reach 3.32% and 0.83% on the MNIST dataset, demonstrating that the model achieves a trade-off between task stability and plasticity, effectively preventing catastrophic forgetting. [ABSTRACT FROM AUTHOR]

Objectives: With the rapid development of the reality acquisition technologies, such as laser scanning and structured light scanning, point cloud has become a high-precision three-dimensional holographic representation for the physics world. As the third important data source, point cloud is very suitable for presenting 3D model and geographic and spatial information, and pushes forward an immense influence on smart city, autonomous driving application and augmented reality. However, the massive, unstructured, and uneven density of point cloud data brings challenges to onboard and offboard storage as well as real-time transmission. Hence, efficient compression methods, which balance between bit rate and quality, are mandatory for ensuring the storage and transmission of such data. Methods: Firstly, we describe different families of approaches in details and summarize the basic technologies that are usually used in 3D point cloud compression. Secondly, we provide detailed description of three open source point cloud codec algorithms and their coding performances. Finally, the promising development tendency of the static point cloud compression is summarized. Results: This paper summarizes the state-of-the-art of domestic and foreign static point cloud compression algorithms, the standard specifications released by moving picture experts group and evaluation metrics for point cloud compression. Conclusions: The purpose is to open up a vision for the further research on the static point cloud compression technology to a certain extent, boost the advancement of theoretical research significance and practical application value in this technical area. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Empowering the innovation and transformation of red cultural resources with digital technology is an important trend to promote the sustainable development of red cultural resources. The logical mechanism of the innovation and transformation of red cultural resources, empowered by digital technology, is manifested in the fact that digital processing technology provides guarantee for resource transformation, digital reproduction technology provides support for resource activation, digital media technology provides a platform for resource dissemination, and blockchain technology provides a platform for resource reproduction. In this process, it faces practical challenges such as weak top-level design, technical barriers, insufficient talent support, and single communication media. The key to promoting the innovation and transformation of red cultural resources lies in perfecting the policy system, speeding up the infrastructure construction, establishing the warehousing database, building a sharing platform, improving the talent training mechanism, optimizing the talent introduction mechanism, and opening up all channels and strengthening the scenario experience. [ABSTRACT FROM AUTHOR]

Copyright of Coal Science & Technology (0253-2336) is the property of Coal Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)