In this paper, we deal with the problem of improving backup and recovery performance by compressing redundancies in large disk-based backup system. We analyze some general compression algorithms; evaluate their scalab...In this paper, we deal with the problem of improving backup and recovery performance by compressing redundancies in large disk-based backup system. We analyze some general compression algorithms; evaluate their scalability and applicability. We investigate the distribution features of the redundant data in whole system range, and propose a multi-resolution distributed compression algorithm which can discern duplicated data at granularity of file level, block level or byte level to reduce the redundancy in backup environment. In order to accelerate recovery, we propose a synthetic backup solution which stores data in a recovery-oriented way and can compose the final data in back-end backup server. Experiments show that this algorithm can greatly reduce bandwidth consumption, save storage cost, and shorten the backup and recovery time. We implement these technologies in our product, called H-info backup system, which is capable of achieving over 10x compression ratio in both network utilization and data storage during backup.展开更多
The human brain is the most complicated and fascinated system and executes various important brain functions, but its underlying mechanism is a long-standing problem. In recent years, based on the progress of complex ...The human brain is the most complicated and fascinated system and executes various important brain functions, but its underlying mechanism is a long-standing problem. In recent years, based on the progress of complex network science, much attention has been paid to this problem and many important results have been achieved, thus it is the time to make a summary to help further studies. For this purpose, we here make a brief but comprehensive review on those results from the aspect of brain networks, i.e., from the angle of synchronization and complex network. First, we briefly discuss the main features of human brain and its cognitive functions through synchronization. Then, we discuss how to construct both the anatomical and functional brain networks, including the pathological brain networks such as epilepsy and Alzheimer’s diseases. Next, we discuss the approaches of studying brain networks. After that, we discuss the current progress of understanding the mechanisms of brain functions, including the aspects of chimera state, remote synchronization, explosive synchronization, intelligence quotient, and remote propagation. Finally, we make a brief discussion on the envision of future study.展开更多
Most traditional maize seeding parameter monitoring devices use wired data transmission.The problems include wiring troubles,short transmission distances.And human-computer interaction display terminals are unique and...Most traditional maize seeding parameter monitoring devices use wired data transmission.The problems include wiring troubles,short transmission distances.And human-computer interaction display terminals are unique and usually customized rather than universal.A remote monitoring system for maize seeding parameters based on Android and wireless communication was developed in this study.The system used a single-chip microcomputer as the main controller and an infrared photoelectric sensor to capture seed information.The Android terminal application was used to set and display the seeder’s seed parameter information and monitor it.The Air202 communication module enabled remote data transmission,while the Global Positioning System(GPS)monitored the speed of the planter.By establishing a message queue telemetry transmission(MQTT)cloud served as a data freight station,data reception,storage and forwarding can be performed.Seeding parameters can generate Excel spreadsheets in real-time for easy data processing and storage.In order to verify the reliability of the system,the seeding parameter monitoring comparison test and the multi-terminal remote monitoring test were designed.The results of the seeding parameter monitoring comparison test showed that the monitoring system of this study had higher monitoring accuracy.The maximum average relative error of seeding parameter monitoring was 0.4%,which had high monitoring accuracy.The multi-terminal remote monitoring test showed that the monitoring system of this research can adapt many types of Android terminals,realize the wireless connection,and realize remote synchronous monitoring at different distances.This study provides a reference for intelligent remote monitoring and intelligent agriculture on unmanned farms.展开更多
基金Supported by the National Natural Science Foun-dation of China (60473023) the National Innovation Foundationfor Small Technology-Based Firms (04C26214201280)
文摘In this paper, we deal with the problem of improving backup and recovery performance by compressing redundancies in large disk-based backup system. We analyze some general compression algorithms; evaluate their scalability and applicability. We investigate the distribution features of the redundant data in whole system range, and propose a multi-resolution distributed compression algorithm which can discern duplicated data at granularity of file level, block level or byte level to reduce the redundancy in backup environment. In order to accelerate recovery, we propose a synthetic backup solution which stores data in a recovery-oriented way and can compose the final data in back-end backup server. Experiments show that this algorithm can greatly reduce bandwidth consumption, save storage cost, and shorten the backup and recovery time. We implement these technologies in our product, called H-info backup system, which is capable of achieving over 10x compression ratio in both network utilization and data storage during backup.
基金This work was partially supported by the National Natural Science Foundation of China under Grant Nos.11835003,82161148012,and 12175070the"Technology Innovation 2030-major Projects"on brain science and brain-like computing of the Ministry of Science&Tecknology of China(No.2021ZD0202600).
文摘The human brain is the most complicated and fascinated system and executes various important brain functions, but its underlying mechanism is a long-standing problem. In recent years, based on the progress of complex network science, much attention has been paid to this problem and many important results have been achieved, thus it is the time to make a summary to help further studies. For this purpose, we here make a brief but comprehensive review on those results from the aspect of brain networks, i.e., from the angle of synchronization and complex network. First, we briefly discuss the main features of human brain and its cognitive functions through synchronization. Then, we discuss how to construct both the anatomical and functional brain networks, including the pathological brain networks such as epilepsy and Alzheimer’s diseases. Next, we discuss the approaches of studying brain networks. After that, we discuss the current progress of understanding the mechanisms of brain functions, including the aspects of chimera state, remote synchronization, explosive synchronization, intelligence quotient, and remote propagation. Finally, we make a brief discussion on the envision of future study.
基金This work was financially supported by the National Key Research and Development Program of China(Grant No.2017YFD0700703)the National Natural Science Foundation of China(Grant No.51575515)the National Industry System of Corn Technology of China(CARS-02).
文摘Most traditional maize seeding parameter monitoring devices use wired data transmission.The problems include wiring troubles,short transmission distances.And human-computer interaction display terminals are unique and usually customized rather than universal.A remote monitoring system for maize seeding parameters based on Android and wireless communication was developed in this study.The system used a single-chip microcomputer as the main controller and an infrared photoelectric sensor to capture seed information.The Android terminal application was used to set and display the seeder’s seed parameter information and monitor it.The Air202 communication module enabled remote data transmission,while the Global Positioning System(GPS)monitored the speed of the planter.By establishing a message queue telemetry transmission(MQTT)cloud served as a data freight station,data reception,storage and forwarding can be performed.Seeding parameters can generate Excel spreadsheets in real-time for easy data processing and storage.In order to verify the reliability of the system,the seeding parameter monitoring comparison test and the multi-terminal remote monitoring test were designed.The results of the seeding parameter monitoring comparison test showed that the monitoring system of this study had higher monitoring accuracy.The maximum average relative error of seeding parameter monitoring was 0.4%,which had high monitoring accuracy.The multi-terminal remote monitoring test showed that the monitoring system of this research can adapt many types of Android terminals,realize the wireless connection,and realize remote synchronous monitoring at different distances.This study provides a reference for intelligent remote monitoring and intelligent agriculture on unmanned farms.
