Point-of-Interest (POI) recommendation is a new type of task that comes along with the prevalence location-based social networks in recent years. Compared traditional tasks, it focuses more on personalized, context-aware results to provide better user experience. To address this challenge, we propose Collaborative Filtering method based Non-negative Tensor Factorization, generalization Matrix Factorization approach exploits high-order tensor instead User-Location matrix model...

The Internet of Things (IoT) aims to connect billions smart objects the Internet, which can bring a promising future cities. These are expected generate large amounts data and send cloud for further processing, specially knowledge discovery, in order that appropriate actions be taken. However, reality sensing all possible items captured by object then sending complete is less useful. Further, such an approach would also lead resource wastage (e.g. network, storage, etc.). Fog (Edge)...

Point-of-Interest (POI) recommendation is a new type of task that comes along with the prevalence location-based social networks and services in recent years. Compared traditional tasks, POI focuses more on making personalized context-aware recommendations to improve user experience. Traditionally, most commonly used contextual information includes geographical context information. However, increasing availability check-in data makes it possible design effective location applications by...

With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor devices, and Web technologies, Internet of Things (IoT) approach has gained momentum connecting everyday objects to facilitating machine-to-human machine-to-machine communication with physical world. While IoT offers capability connect integrate both digital entities, enabling a whole new class applications services, several significant challenges need be addressed before these services can fully...

Abstract Widespread adoption of smart IoT devices is accelerating research for new techniques to make applications secure, scalable, energy-efficient, and capable working in mission-critical use cases, which require an ability function offline. In this context, the novel combination distributed ledger technology (DLT) intelligence (DI) seen as a practical route towards decentralisation architectures. This paper surveys DI commences by briefly explaining need DI, proposing comprehensive...

Due to the high volume of information and electronic documents on Web, it is almost impossible for a human study, research analyze this text. Summarizing main idea major concept context enables humans read summary large text quickly decide whether further dig into details. Most existing summarization approaches have applied probability statistics based techniques. But these cannot achieve accuracy. We observe that attention meaning could greatly improve accuracy, due uncertainty exists in...

With the advent of IoT (Internet Things) age, considerable web services are emerging rapidly in service communities, which places a heavy burden on target users' selection decisions. In this situation, various techniques, e.g., collaborative filtering (i.e., CF) is introduced recommendation to alleviate burden. However, traditional CF-based approaches often assume that historical user-service quality data centralized, while neglect distributed situation. Generally, involves inevitable...

The rapidly growing paradigm of the Internet Things (IoT) requires new search engines, which can crawl heterogeneous data sources and in highly dynamic contexts. Existing engines cannot meet these requirements as they are designed for traditional Web human users only. This is contrary to fact that things emerging major producers consumers information. Currently, there very little work on searching IoT a number works claim unavailability public data. However, it dismissed majority real-time...

Over the past few years, cloud computing has been more and attractive as a new paradigm due to high flexibility for provisioning on-demand resources that are used services through Internet. In computing, unique characteristics in such dynamic diverse offered at different levels, together with lack of standardized description languages pose significant challenges effective service discovery. this paper, we propose search engine exploits novel ontology-based technique identifying categories...

Sensor networks usually generate mass of data, which if not structured for future applications, will require much effort on analytical processing and interpretations. Thus, storing sensor data in an effective format is a key issue the area networks. In meantime, even little improvement structure may lead to significant effect lifetime performance network. This paper describes new method storage that combines semantic web concepts, aggregation along with aligning sensors hierarchical form....

The Internet of Things (IoT) envisions smart objects collecting and sharing data at a global scale via the Internet. One challenging issue is how to disseminate relevant consumers efficiently. This article leverages semantic technologies, such as Linked Data, which can facilitate machine-to-machine communications build an efficient stream dissemination system for Semantic IoT. integrates Data streams generated from various collectors disseminates matched based on user queries registered in...

This paper presents a system that can recognize handwritten words expressed using broken letters of the Persian alphabet. The proposed be used for most activities related to gathering public information. Statistical features separated/broken are employed in system. Each letter is recognized interconnected fuzzy neural network. advantages this method include high precision owing strength network algorithm and possibility extending dataset instance codes simple manner. At last, an evaluation...

XML data broadcast is an efficient way to disseminate semistructured information in wireless mobile environments. In this paper, we propose a novel two-tier index structure facilitate the access of document on-demand system. It provides clients with overall image all documents available at server side and hence enables locate complete result sets accordingly. A pruning strategy developed cut down size proposed further remove any redundant information. addition, two distribution strategies,...