Suchergebnisse

The consumption of media content via mobile devices is growing fast and surpasses the typical until recently access to digital media via computer. This makes mobile devices the main technology used by the audience for receiving media content. The following text examines the tendencies and new practices for media narrative creation, meant to be used entirely via mobile devices. The research was conducted in two phases – analysis of the current situation regarding the use of mobile devices for accessing news content in Bulgarian and around the world; and case studies, describing new types of narrative that emerged because of the audience needs and the specifics of using smart devices for news.

Die Digitalisierung von Krankenhäusern schreitet in vielen Bereichen weiter voran. Ob als Smart Hospital, digitales Krankenhaus oder Krankenhaus 4.0 bezeichnet, investieren Entscheidungsträger vermehrt in die digitale Infrastruktur der Krankenhäuser. Zuletzt gewinnt die Implementierung von Smart Devices zur Optimierung logistischer Prozesse zunehmend an Bedeutung.

Smart Devices sind ein wichtiges Teilglied für die Digitalisierung in Krankenhäusern. Auch in der Krankenhauslogistik wird der Anteil dieser smarten Geräte zunehmen. Anhand des vom Fraunhofer IML entwickelten Smart bed wird ein Smart Device vorgestellt, welches die Bettenprozesse für die beteiligten Mitarbeiter im Krankenhaus vereinfacht.

A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of Philosophy. ; The construction industry has a fragmented nature, which accounts for the highest degree of decentralisation of information and the highest mobile content access. The exchange of information made possible by smart devices. This creates an opportunity to enhance productivity and communication among stakeholders of the construction industry. Firstly, this thesis explored the concept of smart devices. Secondly, the drivers, challenges and Critical Success Factors for implementing smart devices were investigated. This study adopted a qualitative approach using semi-structured interviews. A total of Thirty-nine interviewees which includes professionals from the construction sector of the Dominican Republic (DR) and the United Kingdom (UK) were interviewed. Thematic analysis was used to analyse the collected data. The drivers for the adoption of smart devices were grouped into internal and external drivers. The challenges found in the interviews were grouped into three categories, namely, economic, cultural and technological. The Critical Success Factors (CSFs) for implementing smart devices in the construction industry are leadership, training and development, organisational culture, technology awareness, cost, company size and usability. These findings were used to develop a strategic framework which has two sub-frameworks. This study concluded that a specific culture must be adopted on behalf of the government and construction companies to successfully adopt smart devices. Furthermore, this investigation found various similarities and differences regarding the drivers, challenges and CSFs for implementing smart devices in the UK and the DR. This study recommends integrating smart devices in data collection techniques in academia. Also, for construction companies to embrace technological innovation it is recommended to be willing to start new ventures, to be open to the participation of all members of the company, and be creative and client-oriented. ; Ministerio de Educacion Superior, Ciencia y Tecnología (MESCyT) - Ministry of Higher education, Science and technology of the Dominican Republic.

Der Einsatz von Smart Devices und künstlicher Intelligenz wird in nahezu allen Bereichen des Lebens Veränderungen mit sich bringen, so auch im Gesundheitswesen und im Arbeitsumfeld von Krankenhäusern. Dabei lohnt es sich, den Blick nicht nur auf die medizinischen und pflegerischen Möglichkeiten zu richten. Auch in der Verwaltung und in den Sekundärprozessen wie der Krankenhauslogistik sind mit diesen Technologien positive Effekte zu erzielen.

open ; 12 ; Funding text Funding: This article was supported by ReSTART (Sistema indossabile per il Recupero poST-ictAle sensoRiale e moTorio) project (funded by Fondazione G.B. Baroni), by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 846679 (INFANTPATTERNS), by CONBOTS (H2020-ICT-871803), by the Life Science Engineering Area of Advance at Chalmers University of Technology, and by MRC Clinician Scientist Fellowship (MR/P008712/1). ; Grasping is one of the first dominant motor behaviors that enable interaction of a newborn infant with its surroundings. Although atypical grasping patterns are considered predictive of neuromotor disorders and injuries, their clinical assessment suffers from examiner subjectivity, and the neuropathophysiology is poorly understood. Therefore, the combination of technology with functional magnetic resonance imaging (fMRI) may help to precisely map the brain activity associated with grasping and thus provide important insights into how functional outcomes can be improved following cerebral injury. This work introduces an MR-compatible device (i.e., smart graspable device (SGD)) for detecting grasping actions in newborn infants. Electromagnetic interference immunity (EMI) is achieved using a fiber Bragg grating sensor. Its biocompatibility and absence of electrical signals propagating through the fiber make the safety profile of the SGD particularly favorable for use with fragile infants. Firstly, the SGD design, fabrication, and metrological characterization are described, followed by preliminary assessments on a preterm newborn infant and an adult during an fMRI experiment. The results demonstrate that the combination of the SGD and fMRI can safely and precisely identify the brain activity associated with grasping behavior, which may enable early diagnosis of motor impairment and help guide tailored rehabilitation programs. ; open ; Presti D.L.; Dall'orso S.; Muceli S.; Arichi T.; Neumane S.; Lukens A.; ...

Occupational noise exposure is one of the most frequent hazards present in the workplace; up to 22 million workers have potentially hazardous noise exposures in the US. As a result, noise-induced hearing loss is one of the most common occupational injuries in the United States. Workers in manufacturing, construction, and the military are at the highest risk for hearing loss. Despite the large number of people exposed to high levels of noise at work, many occupations have not been adequately evaluated for noise exposure. The objective of this experiment was to investigate whether or not iOS smartphones and other smart devices (Apple iPhones and iPods) could be used as reliable instruments to measure noise exposures. For this experiment three different types of microphones were tested with a single model of iPod and three generations of iPhones: the internal microphones on the device, a low-end lapel microphone, and a high-end lapel microphone marketed as being compliant with the International Electrotechnical Commission's (IEC) standard for a Class 2-microphone. All possible combinations of microphones and noise measurement applications were tested in a controlled environment using several different levels of pink noise ranging from 60 to 100 dBA. Results were compared to simultaneous measurements made using a Type 1 sound level measurement system. Analysis of variance and Tukey's honest significant difference (HSD) test were used to determine if the results differed by microphone or noise measurement application. Levels measured with external microphones combined with certain noise measurement applications did not differ significantly from levels measured with the Type 1 sound measurement system. Results showed that it may be possible to use iOS smartphones and smart devices, with specific combinations of measurement applications and calibrated external microphones, to collect reliable, occupational noise exposure data under certain conditions and within the limitations of the device. Further research is needed ...

Intelligent transport system (ITS) is a set of applications responsible for providing services to different modes of transportation (such as traffic management, coordination, and information dissemination) to ensure the journey as smooth as possible. One of the primary modes of ITS can be referred to as Demand Responsive Transit (DRT) offering services keeping in view the demands of end users. DRT services offer flexibility to the users for choosing their routes based on the runtime information acquired by smart devices. Routes are predefined but users can modify the predefined routes as per their requirements. DRT is specifically aimed at improving transport services in low demand regions by different government and semi-government agencies. Private companies have also started deploying these services for commercial purposes. There has been numerous algorithms and techniques conventionally used for the implementation of DRTs. In this paper, the deployment of Dijkstra's algorithm has been presented as a part of employee pick-n-drop system. First, we propose the system model for such DRTs customized for Employee pick-n-drop service based on smart devices. Then, several simulations have been conducted to exhibit the superiority of Dijkstra's algorithm over the other conventional techniques in such kind of DRTs that encourages the widespread future deployment based on this model.