With the support of mobile cloud computing, wireless body area networks can be significantly enhanced for massive deployment pervasive healthcare applications. However, several technical issues and challenges are associated with integration WBANs MCC. In this article, we study a cloud-enabled WBAN architecture its applications in systems. We highlight methodologies transmitting vital sign data to by using energy-efficient routing, resource allocation, semantic interactions, security mechanisms.

Machine to machine (M2M) communications will lead dramatic changes in the applications and services offered citizens, allowing smart city become a reality. In this article, we first introduce new tendency M2M development analyze construction frame of application systems city. Then, an event-based architecture depending on SOFIA project is built allow management cooperation among components by mean event manager. Based architecture, conduct case study vehicular context. network introduced for...

A novel personalized recommendation system (PRS) based on concept lattice is proposed and used to discover valuable information according users' requirements interests quickly efficiently. The divided into the offline part online part. In part, formal context are constructed from transaction database, association rules extracted stored in rule library. new added data update library regularly. behavior of target user, calculate ordered results, which returned user. There two methods...

The user operates the smart home devices year in out, have produced mass operation data, but these data do not be utilized well past. Nowadays, can used to predict user's behavior custom with development of big and machine learning technologies, then prediction results employed enhance intelligence a system. In view this, this paper proposes novel unsupervised (UUBP) algorithm, which employs an artificial neural network forgetting factor overcome shortcomings previous algorithm. This...

A new model of hybrid cloud computing architecture based on bus is proposed. The system local private cloud, combined with one or more type(s) public cloud(s). internal structures and are the same, including infrastructure virtualization layer, platforms application management center storage centers. layer designed to incorporate underlying hardware resources into a virtual cluster, providing variety upper layer. platform used run Web applications services, carry application-specific...

This paper proposes a novel intelligent disease diagnosis method based on fuzzy concept lattice. Symptoms and the corresponding extents (e.g., frequency, severity, duration) of each can be extracted to form The lattice symptoms their diagnosed needs constructed match possible diseases. similarity between above two types lattices calculated used aid for effective diagnosis. Naturally, with largest is finding In future, more efficient construction update algorithm will explored, which are...

Formal concept analysis (FCA) is a powerful tool for data mining, ontology research, web semantic retrieval, software engineering, and knowledge discovery. Concept lattice the core structure of FCA. Association rules mining methods based on lattices are discussed. The algorithms constructing introduced, merits drawbacks these compared. research situation about attribute reduction given. Furthermore, extended models challenges to development introduced. At last, many problems FCA needed study deeply

Currently, image copy–move forgery issues have brought increasingly serious problems to the social fields. Many research been devoted address issues. However, detection (CMFD) is still a challenging problem forensics. This paper proposes coarse-to-fine method fusing superiorities of both keypoint-based and block-based methods. The fusion gets good geometric invariances methods matching robustness with invariant moment In coarse stage, robust SIFT descriptor used extract candidate keypoints,...

In cloud computing era, automatic parallelization is still significant for virtualization platform.However, after several decades of development, the overall effect to be improved.Summary mainstream technology developments will beneficial reveal future direction and trend.This paper reviews loop parallelization, which key issue in parallelization.After introducing basic models approaches, we focus on recent developments, obtain trend this field conclusions about future.

The vehicle-road cooperative perception needs high accuracy and real-time automatic background filtering to separate objects from foreground in complex traffic scenes. Reducing the influence of improve accuracy, introducing a new framework performance are two main challenges filtering. This paper proposes an Automatic Background Filtering method with innovative Frame Selection Matrix Extraction modules (ABF-FSBME) address these challenges. Firstly, space division equal hitting probability is...

In this paper, we design a classifier based-on topic for food complain documents, and take series of measures to the implementation process. order accomplish feature reduction, filter method named term filtering independent features is proposed compress each vector. We introduce created ontology as background knowledge expand semantic complaint documents with aid HowNet. So can supplement effective information improve effect text classification. addition, account different importance between...