The Internet of Things (IOT) has been widely applied in many fields, while the IOT data are always large volume, update frequently and inherently multi-dimensional, these characteristics bring big challenges to traditional DBMSs. DBMSs have rich functionality can deal with multi-attributes access efficiently, they not scale good enough volume support high insert throughput. cloud-based database systems scalability, but don't multi-dimensional natively.In order data, we propose an query...

SUMMARY In this paper, we focus on high‐dimensional similarity join (HDSJ) using MapReduce paradigm. As the volume of data and number dimensions increase, computation cost HDSJ will increase exponentially. There is no existing effective approach that can process efficiently, so propose a novel method called symbolic aggregate approximation (SAX)‐based to deal with problem. SAX abbreviation dimensionality reduction technique widely used in time series processing, use represent vectors paper...

Spatio-textual similarity join is a basic and significant operation in many applications. It an that finds all the similar pairs of objects which have textual descriptions are spatially close to each other. With popularity GPS their applications, size spatiotextual data increasing explosively, while existing methods cannot deal with spatio-textual efficiently on massive data. In this paper, we propose several approaches for using MapReduce. We use prefix filtering grid partitioning...

The huge amounts of network traffic generated by the ultra-high-definition video playback super-large-scale users results in tremendous pressure for front-haul and back-haul 5G network, which brings severely negative influence large-scale deployment scalability systems delivery performance (e.g. transmission delay packet loss) related to user quality experience. direct D2D communications between mobile devices with adjacent position geographical area can offloading into underlying networks,...

Nodes of wireless sensor network (WSN) will appear various faults, because the influence many unavoidable factors and environment is very complex harsh.Rough set can deal with incomplete information, especially in data reduction, it easy to realize low energy consumption problem on-line fault diagnosis based on WSN node Co.This paper adopts attribute reduction algorithm by integrate rough neural model eliminate failure, so as achieve improve accuracy efficiency purpose.The makes use failure...

SUMMARY In this paper, we mainly focus on similarity joins massive high‐dimensional vectors, it is a costly operation because of curse dimensionality. The main idea our proposed solution to design novel filtering method that can filter out as many vector pairs possible at relative low cost. By using the good dimension reduction ability piecewise aggregate approximation and symbolic techniques, three approaches deal with high dimensional‐vector join query: single‐PAA–based query,...

The typical pretrained model’s feature extraction capabilities are insufficient for medical named entity identification, and it is challenging to express word polysemy, resulting in a low recognition accuracy electronic records. In order solve this problem, paper proposes new model that combines the BERT pretraining BilSTM-CRF model. First, embedding with semantic information obtained by corpus input Then, BiLSTM module utilized extract further features from encoded outputs of account...

The video sharing performance is a key factor for scalability and quality of service P2P VoD systems in wireless mobile networks. There are some impact factors the performance, such as available upload bandwidth, resource distribution overlay networks, mobility nodes. In this paper, we firstly model user behaviors: joining, playback, departure content-oriented community-based networks construct assignment by analysis transition node state: suspend, wait, playback. We analyze influence above...

The large-scale and sudden video content access such as flash crowds results in huge bandwidth demand, which severely influence user quality of experience service systems. In this paper, we firstly discuss the main reason generation for streaming services analyze key factor balance recovery between supply demand upload bandwidth. We construct two models: capacity model systems users, measures usage amount cloud. Based on built models, further employ a community-based cooperative caching...

Similarity join has been widely used in many data analysis and mining applications, we mainly focus on the scalability performance problem of similarity query massive high-dimensional set. p-stable distribution based projection scheme can implement dimension reduction effectively. Three novel approaches are proposed to deal with problem: Single method, Multiple method Projection space partitioning method. Comprehensive experimental tests were performed evaluate above approaches. The results...

The video traffic offloading in edge networks is an effective method for remission of congestion backward paths 5G by continual optimization distribution to promote scale and efficiency delivery (e.g., D2D-based near-end sharing). Because the resources are dispersedly cached local buffer mobile devices users, management users caching removing videos) causes dynamic variation networks. real-time adjustment terms influence levels promotion recession) sharing performance significant...

Summary Similarity join on large‐scale high‐dimensional data faces major challenges because of the scale and cure dimensionality. Random projection with p‐stable distribution can reduce form d ‐dimension to k ( ≪ ), distance in ‐dimensional space be used filter out as many pairs possible at relative low cost. Based above idea, we proposed two novel approaches deal similarity join: projection‐based (PromSimJ) algorithm partitioning–based (ProSPSimJ) algorithm. The comprehensive experiments...

Mobile multimedia streaming services provide rich-content visual resources for the mobile users via ubiquitous access to Internet. The video resource sharing focuses on matching of appropriate supplier requesters and is a key issue P2P-based system scalability user quality experience. In this context, leveraging social-driven interaction between enables discovery common interests improve content efficiency. paper, we propose novel energy-efficiency social-inspired solution in wireless...

The increase in the demand of content quality and number mobile users brings new challenges for multimedia streaming services wireless networks. virtual community technologies are promising by grouping with common characteristics to get gains performance resource lookup system scalability. In this paper, we propose a novel interaction-aware video community-based delivery (IVCCD) IVCCD collects analyzes interaction information between construct user model further capture request content....

Pubertal timing and social adaptability are important research contents of adolescent mental health education. Traditional methods mainly classify students based on the total score or average scale, although this kind method is simple easy to conduct, it can't make a more detailed analysis students. In paper, data mining such as association rules clustering used analyze pubertal some novel meaningful conclusions figured out from results that be obtained by previous methods, visualized...