In this paper, we propose a Blockchain-based infrastructure to support security- and privacy-oriented spatio-temporal smart contract services for the sustainable Internet of Things (IoT)-enabled sharing economy in mega cities. The leverages cognitive fog nodes at edge host process off loaded geo-tagged multimedia payload transactions from mobile IoT nodes, uses AI processing extracting significant event information, produces semantic digital analytics, saves results Blockchain decentralized...

Internet of Things (IoT) produces massive heterogeneous data from various applications, including digital health, smart hospitals, automated pathology labs, and so forth. IoT sensor nodes are integrated with the medical equipment to enable health workers monitor patients' condition appliances in real time. However, due security vulnerabilities, an unauthorized user can access health-related information or control attached patient's body resulting unprecedented outcomes. Due wireless channels...

Mobile edge computing (MEC) is being introduced and leveraged in many domains, but few studies have addressed MEC for secure in-home therapy management. To this end, paper presents an management framework, which leverages the IoT nodes blockchain-based decentralized paradigm to support low-latency, secure, anonymous, always-available spatiotemporal multimedia therapeutic data communication within on-demand data-sharing scenario. best of our knowledge, non-invasive, MEC-based platform first...

The advancement of next-generation network technologies provides a huge improvement in healthcare facilities. Technologies such as 5G, edge computing, cloud and the Internet Things realize smart that client can have anytime, anywhere, real time. Edge computing offers useful resources at to maintain low-latency real-time computing. In this article, we propose framework using framework, develop voice disorder assessment treatment system deep learning approach. A his or her sample captured by...

Human facial expressions change with different states of health; therefore, a facial-expression recognition system can be beneficial to healthcare framework. In this paper, is proposed improve the service in smart city. The applies bandlet transform face image extract sub-bands. Then, weighted, center-symmetric local binary pattern applied each sub-band block by block. CS-LBP histograms blocks are concatenated produce feature vector image. An optional feature-selection technique selects most...

As a new type of low power wide area (LPWA) technology, the narrowband Internet Things (NB-IoT) technology supports coverage and bitrate services, thus it has great potential to be future commercial LPWA network. Therefore, attracted attention both academia industry. In this paper, we present NB-IoT development, main characteristics design objectives according 3GPP R13. addition, provide review related literatures about modeling algorithm analysis. And explain current problems system-level...

With the rapid development of Internet Vehicles (IoV), data in network have become more complicated, and user demand for popular content has been growing. The focus this paper is how to address ever-changing mobile environment IoV with caching strategy. To achieve automatic selection, storage delivery IoV, modeled as a heterogeneous information (HIN). In way, we can greatly reduce load limited small computational cost give car better experience mode, which be cached real time. For high-risk...

Current evolutions in the Internet of Things and cloud computing make it believable to build smart cities homes. Smart provide technologies residents for improved healthier life, where healthcare systems cannot be ignored due rapidly growing elderly people around world. can cost-effective helpful optimal use resources. The voice is a primary source communication any complication production affects personal as well professional life person. Early screening through an automatic disorder...

With the progress of new generation wireless communication technology and machine learning algorithms to deal with big data, a variety smart systems are realized bring comfort human life. Smart healthcare one important developments recently. Such will become necessary ingredient in our connected living. In this article, we propose pathology detection system using deep learning, edge computing, cloud computing. Sensors capture electroencephalogram (EEG) signals person send nearby computing...

With the irruption of inexpensive depth sensor devices, hand gesture tracking has become a topic great interest. Two main problems to face respect other algorithms are high complexity structure, which translate in very large amount possible gestures, and rapidness movements we able make when moving or just fingers. Recent approaches try fit 3D model observed RGB-D data by an optimization function that minimizes error between data. However, these dependent on initialization point, impractical...

Context-aware recommendations offer the potential of exploiting social contents and utilize related tags rating information to personalize search for content considering a given context. Recommendation systems tackle problem trying identify relevant resources from vast number choices available online. In this study, we propose new recommendation model that personalizes improves user experience by analyzing context when wishes access multimedia content. We conducted empirical analysis on...

As an emerging technology, the industrial Internet of Things (IIoT) can promote development intelligence, improve production efficiency, and reduce manufacturing costs. In IIoT, improvement progress applications are inseparable from data fusion, a process that realizes collection, analysis, processing massive IoT generated by equipment applications. IIot demands real-time, effective, privacy-preserving fusion process. However, existing works need to train different learning models for which...

A large number of the population around world suffers from various disabilities. Disabilities affect not only children but also adults different professions. Smart technology can assist disabled and lead to a comfortable life in an enhanced living environment (ELE). In this paper, we propose effective voice pathology assessment system that works smart home framework. The proposed takes input sensors, processes acquired signals electroglottography (EGG) signals. Co-occurrence matrices...

Developing automatic facial age estimation algorithms that are comparable or even superior to the human ability in becomes an attractive yet challenging topic emerging recent years. The conventional methods estimate one person's directly from given image. In contrast, motivated by cognitive processes, we proposed a comparative deep learning framework, called Comparative Region Convolutional Neural Network (CRCNN), first comparing input face with reference faces of known generate set hints...

This paper presents the analysis of real-life medical big data obtained from a hospital in central China 2013 to 2015 for risk assessment cerebral infarction disease. We propose new recurrent convolutional neural network (RCNN)-based disease multimodel by utilizing structured and unstructured text hospital. In proposed model, layer becomes bidirectional intra-layer connection within layer. Each neuron receives feedforward inputs previous unit neighborhood, respectively. addition step-by-step...

Recent advances in wireless sensor networks for ubiquitous health and activity monitoring systems have triggered the possibility of addressing human needs smart environments through recognizing real-time activities. While nature streams such requires efficient recognition techniques, it is also subject to suspicious inference-based privacy attacks. In this paper, we propose a framework that efficiently recognizes activities homes based on spatiotemporal mining technique. addition, technique...