Over the past few years semantics community has developed ontologies to describe concepts, relationships between different entities in various application domains, including Internet of Things (IoT) applications. A key problem is that most IoT related semantic descriptions are not as widely adopted expected. One main concerns users, developers techniques increase complexity, processing time, therefore they unsuitable for dynamic, responsive environments such IoT. To address this concern, we...

Internet of Things is a generic term that refers to interconnection real-world services which are provided by smart objects and sensors enable interaction with the physical world. Cities also evolving into large interconnected ecosystems in an effort improve sustainability operational efficiency city infrastructure. However, it often difficult perform real-time analysis amount heterogeneous data sensory information various sources. This paper describes framework for semantic annotation...

With the proliferation of sensors and IoT technologies, stream data are increasingly stored analyzed, but rarely combined, due to heterogeneity sources technologies. Semantics used share sensory data, not so much for annotating data. Semantic models annotation scarce, as generally semantics heavy process ideal Internet things (IoT) environments, where frequently updated. We present a light model semantically annotate streams, IoT-Stream. It takes advantage common knowledge sharing semantics,...

Advances in communication technologies and artificial intelligence are accelerating the paradigm of industrial Internet Things (IIoT). With IIoT enabling continuous integration sensors controllers with network, intelligent analysis generated Big Data is a critical requirement. Although considered subset IoT, it has its own peculiarities terms higher levels safety, security, low-latency an environment real-time operations. Under these circumstances, discriminative deep learning (DL)...

An increasing number of cities are confronted with challenges resulting from the rapid urbanization and new demands that a rapidly growing digital economy imposes on current applications information systems. Smart city enable authorities to monitor, manage, provide plans for public resources infrastructures in environments, while offering citizens businesses develop use intelligent services cities. However, providing such smart gives rise several issues, as semantic heterogeneity...

research-article Share on Challenges for Quality of Data in Smart Cities Authors: Payam Barnaghi University Surrey, Guildford, United Kingdom KingdomView Profile , Maria Bermudez-Edo Ralf Tönjes Hochschule Osnabrück, Germany GermanyView Authors Info & Claims Journal and Information QualityVolume 6Issue 2-3Article No.: 6pp 1–4https://doi.org/10.1145/2747881Published:03 June 2015Publication History 55citation1,589DownloadsMetricsTotal Citations55Total Downloads1,589Last 12 Months62Last 6...

Brain Computer Interfaces (BCI) can be used not only to monitor users, recognizing their mental state and the activities they perform, but also make decisions or control environment. Hence, BCI could improve health independence of for example those with low mobility disabilities. In this work, we use a low-cost low-invasive headband detect Electroencephalography (EEG) motor imagery. particular, propose deep learning classifier based on Convolutional Neural Networks (CNN) Long Short-Term...

Atmospheric aerosols play key roles in climate and have important impacts on human activities health. Hence, much effort is directed towards developing methods of improved detection discrimination different types aerosols. Among these, light scattering-based aerosol offers several advantages including applications both situ remote sensing devices. In this work, new scattering matrix measurements for two samples airborne desert dust collected Spain China are reported. The average extrapolated...

The institutional perspective is becoming an increasingly important approach for explaining sustainability behavior in international context. Drawing on insights from theory and natural environment literature, we propose that the utilization of firms’ technological intensity to generate green innovations conditioned by their home-country profile. This article analyzes a panel 5,024 environmental patents belonging 80 firms during period 2005 2009. results show countries with weakness...

With the growing popularity of information and communications technologies sharing integration, cities are evolving into large interconnected ecosystems by using smart objects sensors that enable interaction with physical world. However, it is often difficult to perform real-time analysis amount on heterogeneous data sensory provided various resources. This paper describes a framework for semantic annotation aggregation streams support dynamic integration Web advanced message queuing...

The population in developed countries is aging and this fact results high elderly health costs, as well a decrease the number of active working members to support these costs. This could lead collapse current systems. One first insights decline people frailty, which be decelerated if it detected at an early stage. Nowadays, professionals measure frailty manually through questionnaires tests strength or gait focused on physical dimension. Sensors are increasingly used monitor different...

Mobile health systems integrating wearable devices are emerging as promising tools for registering pain-related factors. However, their application in populations with chronic conditions has been underexplored. To use a semi-automatic mobile system evaluating the potential predictive relationship of pain qualities and thresholds heart rate variability, skin conductance, perceived stress, stress vulnerability individuals preclinical such suspected rheumatic disease. A multicenter,...

The literature on the natural-resource-based view of firms has mostly focused positive relationship between financial performance and environmental innovation. present study extends this research by addressing recent calls to identify specific managerial approaches that affect a firm’s ability financially benefit from an innovative strategy. In particular, focus is how selected international scope patented innovations affects firms’ performance. sample used included 5-year data panel 3,087...

Cities are making significant efforts to implement the Internet of Things (IoT) paradigm, in which sensors collect data from heterogeneous sources, and advanced software systems can provide an accurate city context. Most initiatives focus on improving quality life through energy-efficient buildings, waste management, or reducing traffic congestion. One main applications IoT is smart tourism. This concept focuses using Information Communication Technologies give visitors better experiences...

The assessment of dependence in older adults currently requires a manual collection data taken from questionnaires. This process is time consuming for the clinicians and intrudes daily life elderly. paper aims to semi-automate acquisition analysis health assess predict while executing one instrumental activity living (IADL).In mobile-health (m-health) scenario, we analyze whether through wearables during performance IADLs, with help machine learning techniques could replace traditional...

Electroencephalography (EEG) signals to detect motor imagery have been used help patients with low mobility. However, the regular brain computer interfaces (BCI) capturing EEG usually require intrusive devices and cables linked machines. Recently, some commercial low-intrusive BCI headbands appeared, but less electrodes than BCIs. Some works proved ability of basic imagery. all these focused on accuracy detection, using session sizes larger 10 s, in order improve accuracy. These prevent...

Smart cities and villages present a plethora of opportunities for fusing managing multi-source data. However, in the analysis mobility patterns, use only one data source (i.e., road sensors) without considering other contextual sources, limits understanding process. To address this gap, we propose pipeline that integrates multiple providing valuable information pattern extraction, mainly based on vehicle behavior provenance. Our research also highlights critical role selecting appropriate...

In recent years, the development and deployment of Internet Things (IoT) devices has led to generation large volumes real world data. Analytical models can be used extract meaningful insights from this However, most IoT data is not fully utilised, which mainly due interoperability issues difficulties analyse collected by heterogeneous resources. To overcome heterogeneity, semantic technologies are create common share various originated sources. semantics add further overhead delivery,...

We present a dataset for vehicle tracking in rural area. Specifically, the Barranco de Poqueira region, which includes municipalities of Pampaneira, Bubión, and Capileira Sierra Nevada National Park, Granada, Spain. Four Hikvision License Plate Recognition (LPR) cameras collect entries exits to each village. Additional contextual data, including vacation calendars, origins, socio-demographic information, enrich dataset. The comprises three files covering nine months from February October...

Recruiting-related online innovations represent growing and high-potential opportunities for employers to broaden the reach of their recruiting efforts as well reduce costs. The diffusion innovative approaches recruiting, however, may experience bias due potential employees' lack trust in firms offering positions online, particularly when are small, operate a risky industry, or relatively unknown. We use theory reasoned action propose that users corporate website develop beliefs with regard...