Multipath is the main systematic error of Global Navigation Satellite System (GNSS) short baseline positioning. cannot be eliminated by double-differenced technique and difficult to parameterize, which severely restrict high-precision GNSS positioning application. Based on spatiotemporal repeatability multipath, sidereal filtering in coordinate-domain (SF-CD), observation-domain (SF-OD), multipath hemispherical map (MHM) can used mitigate real-time. However, model with large matrix for...

The current state of the art and applications Internet-of-Things (IoT) in construction safety management were summarized for both academic industrial practice based on an extensive literature review questionnaire-based research. Because workers cannot prevent long-term contact with hazard sources during process, a new hazard-prevention technology system was proposed that utilizes IoT-related technologies to integrate source positioning task flow deployment throughout entire incorporating...

State abstraction optimizes decision-making by ignoring irrelevant environmental information in reinforcement learning with rich observations. Nevertheless, recent approaches focus on adequate representational capacities resulting essential loss, affecting their performances challenging tasks. In this article, we propose a novel mathematical Structural Information principles-based Abstraction framework, namely SISA, from the information-theoretic perspective. Specifically, an unsupervised,...

With the development of society and economy, more talents capable mastering English are badly needed in world.Therefore, traditional teaching mode is greatly challenged.With continuous modern technology, multimedia applied to widely.This special significance teaching.Then, how use effectively?This paper analyses advantages disadvantages on base universities, discusses combine together with according practice universities.It an effective way approach, though it needs a long time them perfectly.

Recent progress in quantum physics shows that computers may be a reality the not too distant future. Post-quantum cryptography (PQC) refers to cryptographic schemes are based on hard problems which believed resistant attacks from computers. The supersingular isogeny Diffie-Hellman (SIDH) key exchange protocol promising security properties among various post-quantum cryptosystems have been proposed. In this paper, we propose two efficient modular multiplication algorithms with special primes...

Point-of-interest (POI) recommendation is one of the fundamental tasks for location-based social networks (LBSNs). Some existing methods are mostly based on collaborative filtering (CF), Markov chain (MC) and recurrent neural network (RNN). However, it difficult to capture dynamic user’s preferences using CF methods. MC suffer from strong independence assumptions. RNN still in early stage incorporating spatiotemporal context information, main behavioral intention current sequence not...

The BeiDou Navigation Satellite System (BDS) features a heterogeneous constellation so that it is difficult to mitigate the multipath in coordinate-domain. Therefore, mitigating observation-domain becomes more important. Sidereal filtering commonly used for mitigation, which needs calculate orbit repeat time of each satellite. However, poses computational challenge and damages integrity at end model. this paper proposes single-difference model based on hemispherical map (SD-MHM) BDS-2/BDS-3...

In recent years, ride-hailing services have been increasingly prevalent, as they provide huge convenience for passengers. As a fundamental problem, the timely prediction of passenger demands in different regions is vital effective traffic flow control and route planning. both spatial temporal patterns are indispensable demand prediction, relevant research has evolved from pure time series to graph-structured data modeling historical data, where snapshot graph constructed each slot by...

Mining probabilistic frequent patterns from uncertain data has received a great deal of attention in recent years due to the wide applications. However, pattern mining suffers problem that an exponential number result are generated, which seriously hinders further evaluation and analysis. In this paper, we focus on representative (P-RFP), is minimal set with adequately high probability represent all patterns. Observing bottleneck checking whether can probabilistically another, involves...

Multi-Global Navigation Satellite System (GNSS) integration can effectively improve the satellite geometry strength, and certain effect on precise point positioning (PPP) accuracy convergence speed. Taking system difference into account, this paper deduces unified GNSS observation model, which is extended to multi-GNSS PPP functional model. Meanwhile, stochastic model used in Kalman filter parameter estimation presented paper. Furthermore, evaluate performance of Asia-Pacific region,...

Probabilistic frequent pattern mining over uncertain data has received a great deal of attention recently due to the wide applications data. Similar its counterpart in deterministic databases, however, probabilistic suffers from same problem generating an exponential number result patterns. The large discovered patterns hinders further evaluation and analysis, calls for need find small representative approximate all other This paper formally defines (P-RFP) mining, which aims minimal set...

Using social media for political discourse has received much attention due to its real-time and interactive nature, especially around election time. Recent studies have explored the power of a single platform, such as Google or twitter, on recording current trends predicting voting outcomes in particular region. These pilot studies, though being very interesting, fail integrate more heterogeneous information available online, nor do they consider demographical bias online users most whom are...

With the growing popularity of location-based social media applications, point-of-interest (POI) recommendation has become important in recent years. Several techniques, especially collaborative filtering (CF), Markov chain (MC), and recurrent neural network (RNN) based methods, have been recently proposed for POI service. However, CF-based methods MC-based are ineffective to represent complicated interaction relations historical check-in sequences. Although networks (RNNs) its variants...

Real world Web mining applications usually have different requirements, such as massive data processing, low system latency, and high scalability. In order to meet these we proposed a distributed text with layered architecture that divides the functions into three layers, namely, crawling storage layer, basic analysis service layer. Message-oriented middleware are used between layer components services make communication in loosely-coupled way. To conquer data-intensive failure problems,...