Recently, an increased amount of effort has been focused on optimizing the selection routes for taxis, as part development smart urban environments, and increase accumulated trajectory data sets. One challenging issue is to match recommend appropriate cruising most taxis cruise streets aimlessly looking passengers. Drivers encounter lots difficulty in their hence increasing incomes, such inability not only decreases profit but also increases traffic load cities. In this paper, concept...

Recent years there has been increasing concern about the rider demand responsive systems and vehicular ad hoc networks. On one hand, centralised taxi platforms such as Uber Didi Taxi are popular changing our daily life; on other vehicles equipped with more sensors capable to calculate, store, communicate or road side units, forming vehicleto-vehicle vehicle-to-infrastructure communications. However, little effort devoted integrating these two fields. In this paper, we propose a distributed...

Clustering is an effective topology control and communication protocol in wireless sensor networks ("sensornets"). However, the harsh deployed environments, serious resource limitation of nodes, unbalanced workload among nodes make clustered sensornets vulnerable to faults errors, which undermine usability network. So mechanisms improve robustness fault-tolerance are highly required real applications sensornets. In this paper, a distributed fault-tolerant mechanism called CMATO...

Vehicular nodes are equipped with more and sensing units, a large amount of data is generated. Recently, research considers cooperative urban as the heart intelligent green city traffic management. The key components platform will be combination pervasive vehicular system, well central control analysis where data-gathering fundamental component. However, monitoring also challenging issues in sensor networks because dynamic nature network. In this paper, we propose an efficient continuous...

Modern vehicles are gradually becoming powerful mobile sensing, communication, computing and storage platforms, which bring about the concept of vehicular urban sensing that leverages sensor nodes as an effective affordable solution for large-scale fine-grained sensing. And there is a trend to combine outsourcing technologies solve road problem. However, how select appropriate participated vehicles, least interrupt original routes actively maximize benefit remain challenging problems. In...

Abstract Background Accurate precision approaches have far not been developed for modeling mortality risk in intensive care unit (ICU) patients. Conventional prediction methods can hardly extract the information longitudinal electronic medical records (EHRs) effectively, since they simply aggregate heterogeneous variables EHRs, ignoring complex relationship and interactions between time dependence records. Recently deep learning widely used EHR data. However, most existing learning-based...

Data gathering is a key operator for applications in wireless sensor networks; yet it also challenging problem mobile networks when considering that all nodes are and the communications among them opportunistic. This paper proposes an efficient data scheme called ADG adopts speedy elements as collector takes advantage of movement patterns network. first extracts network meta-data at initial epochs, calculates set proxy based on meta-data. then mapped into Proxy node Time Slot Allocation...

Semi-supervised cluster ensemble usually introduces a small amount of supervision in the first stage ensemble, i.e., generation, by performing many runs semi-supervised clustering algorithms. However, it is neither efficient terms computational complexity, nor flexible dynamic learning environment where limited changes over time. In this article we propose new framework which generates base partitions an unsupervised manner and attributes different weights to each partitions. The weighting...

Recent years, with the emerging technology of cloud computing, powerful computing and storage capability injects new vitality into wireless sensor networks (WSNs) motivates a series applications. However, data delivery from WSNs to Cloud becomes bottleneck because poor communication ability WSNs, especially for delay-sensitive applications, which limits their further development To address this problem, we propose fog structure composes multiple mobile sinks. Mobile sinks act as nodes bridge...

In this paper, we devote to aggregating longitudinal and multi-modal information from heterogeneous neighbors obtain an accurate node embedding on the dynamic graph. Recently, Heterogeneous Graph Neural Networks (GNNs) have attracted extensive attention in fraud detection. However, when faced with data such as health insurance records, existing GNN-based detectors always discard (e.g., medication treatment) of ignore inconsistent claimer behavior records. To fully utilize information,...

The flexible transit service reflects a trend of demand on the flexibility and convenience in urban public transport systems, within which vehicle scheduling passenger insertion are two challenging issues. Especially, finding optimal solution for system can be viewed as an extension traveling salesman problem is NP-complete. Yet most existing research mainly focuses one aspect, i.e. route planning, stop selection or scheduling, where combined integration optimization whole largely neglected....

Permutation based variable importance measure (VIM) has been widely used in various research fields. For example, gene expression studies, it regarded as a screening tool to select subset of relevant genes for subsequent analysis or better predictive performance. However, little effort devoted the stability measures. In this paper, margin permutation measures (VIM-MDs) are proposed, which utilize similarity between distribution before and after random evaluate variables. Experiments on six...

With the rapid development of vehicular, communication and sensing technologies, intelligent transportation system(ITS) vehicular network are widely used to improve driving experience in city. A key procedure many applications is data gathering, a universal process collect sensed from sparse-distributed vehicles for further operations provide services. However, state-of-the-art routing or gathering methods paid attentions only short-term movement features but ignore strong regularity...