Edge computing is a promising paradigm for pushing the cloud service to network edge. To this end, edge infrastructure providers (EIPs) need bring computation and storage resources allow (ESPs) provision latency-critical services users. Currently, EIPs prefer establish series of private edge-computing environments serve specific requirements This kind resource provisioning mechanism severely limits development spread serving diverse user requirements. we propose an integrated model, named...

To alleviate the problem of scarce spectrum resources and meet ever-increasing mobile broadband data traffic demands, Licensed Assisted Access (LAA)-Long Term Evolution (LTE), operating in unlicensed spectrum, is a promising solution. Considering that shared by few incumbent systems, such as IEEE 802.11 (i.e., WiFi), one main target to guarantee friendly harmonious coexistence LTE with other wireless systems spectrum. Both listen-before-talk (LBT) duty cycle methods are regarded effective...

We propose a task-oriented multi-objective scheduling method based on ant colony optimization (MOSACO) to optimize the finite pool of public and private computing resources in hybrid cloud environment according deadline cost constraints. MOSACO is employed minimize task completion times costs using time-first cost-first single-objective strategies, respectively, maximize user quality service profit resource providers an entropy model. The effectiveness algorithm multiple considerations time,...

Incomplete data are frequently encountered and bring difficulties when it comes to further processing. The concepts of granular computing (GrC) help deliver a higher level abstraction address this problem. Most the existing imputation related modeling methods numeric nature require prior models be provided. underlying objective study is introduce novel straightforward approach that uses information granules as vehicle effectively represent missing build fuzzy directly from resulting hybrid...

The seasonal Xiangka debris flow, breaking out frequently in Xinghai County, Qinghai Province, poses a serious threat to resident safety, has significant potential economic impacts, and inflicts severe damage on the geological environment, vegetation, land resources area. Therefore, susceptibility assessment is crucial. Utilizing data from field investigations, meteorology, remote sensing, this study devised an system using 10 evaluation factors with pronounced regional characteristics as...

Multi-view fuzzy clustering (MVFC) has gained widespread adoption owing to its inherent flexibility in handling ambiguous data. The proliferation of privatization devices driven the emergence new challenge MVFC researches. Federated learning, a technique that can jointly train without directly using raw data, gain significant attention decentralized MVFC. However, their applicability depends on assumptions data integrity and independence between different views. In fact, while within...

Multi-view learning becomes increasingly attractive and promising because multimodal or multi-view data are commonly encountered in real-world applications. In this study, we develop a novel Takagi–Sugeno–Kang (TSK) fuzzy system framework to handle classification problems for such data. We propose an anchor graph subspace clustering strategy discover represent the actual latent distribution each view separately. way, discriminate anchors (landmarks) learned capture main structure of This...

随着Internet上功能相似的Web服务的逐渐增多,在运行时刻基于服务质量(QoS)对Web服务进行查找和选择已成为研究热点.现有的基于QoS的服务选择方法通常假定服务提供者和使用者给出的QoS数据都是真实可信的,然而这一假设在实际中往往很难保证.为此,提出了一种考虑QoS数据可信性的服务选择方法.方法从QoS数据来源的角度对质量属性进行分类和计算:对于数据来自服务提供者的质量属性,使用以往运行数据统计,对提供者的QoS数据进行修正;对于数据来自服务使用者的质量属性,通过计算用户间以往反馈的相似程度权衡不同QoS反馈数据的可信程度.对此给出了实现框架,并通过一组模拟实验说明该方法能够有效地削弱不可信的QoS数据对服务选择的影响,增强了Web服务选择结果的准确性.;As the number of web services with similar function is increasing, QoS-based service selection at runtime has become an important research topic. The existing...

Service-oriented architecture provides a scalable and flexible framework to implement loosely-coupled, standards-based, protocol-independent distribute computing. One of its goals is make use the distributed services with different functions build powerful composite services. Service composition an active research area in service Existing endeavoring achieve desirable quality levels improve customer satisfaction. The service-oriented approach using Web also great interest for implementation...

In this paper, we propose a novel facial expression recognition method under partial occlusion based on Gabor multi-orientation features fusion and local binary pattern histogram sequence (LGBPHS). Firstly, the filter is adopted to extract multi-scale features. Secondly, magnitudes of different orientations in same scale will be fused according rule paper then are further encoded by using LBP operator. Finally, image divided into several non-overlapping rectangle units with equal size, each...

Face authentication is vulnerable to media-based virtual face forgery (MVFF) where adversaries display photos/videos or 3D models of victims spoof systems. In this paper, we propose a liveness detection mechanism, called FaceCloseup, protect the on mobile devices. FaceCloseup detects MVFF-based attacks by analyzing distortion regions in user's closeup facial videos captured built-in camera device. It can detect with an accuracy 99.48%.

In geo-distributed datacenters, tasks in a job often need to run on different sites due the input data locality or special preference for resources. The completion time (make span) of depends execution slowest task. Considering heterogeneity resources and potential skews number per job, how reduce make span improve application performance remains an open problem. this paper, we propose heuristic scheduling algorithm called MIN-Max-Min that coordinate across datacenters. gives priority select...

Licensed Assisted Access (LAA) is considered one of the latest groundbreaking innovations to provide high performance in future 5G. Coexistence schemes such as Listen Before Talk (LBT) and Carrier Sensing Adaptive Transmission (CSAT) have been proven be good methods share spectrums, they are WiFi friendly. In this paper, a modified LBT-based CSAT scheme proposed which can effectively reduce collision at moment when Long Term Evolution (LTE) starts transmit data mode. To make full use...

Objective. Transient visual evoked potential (TVEP) can reflect the condition of pathway and has been widely used in brain-computer interface. TVEP signals are typically obtained by averaging time-locked brain responses across dozens or even hundreds stimulations, order to remove different kinds interferences. However, this procedure increases time needed detect status realistic applications. Meanwhile, long repeated stimuli vary potentials discomfort subjects. Therefore, a novel...