scholarly journals Virtual User in the IoT: Definition, Technologies and Experiments

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4489
Author(s):  
Roberto Girau ◽  
Raimondo Cossu ◽  
Massimo Farina ◽  
Virginia Pilloni ◽  
Luigi Atzori
Keyword(s):  
Quality Of Experience ◽  
User Profile ◽  
Physical World ◽  
Legal Issues ◽  
User Profiling ◽  
Context Management ◽  
Management Quality ◽  
Definition Of ◽  
The Internet Of Things

Virtualization technologies are characterizing major advancements in the Internet of Things (IoT) arena, as they allow for achieving a cyber-physical world where everything can be found, activated, probed, interconnected, and updated at both the virtual and the physical levels. We believe these technologies should apply to human users other than things, bringing us the concept of the Virtual User (VU). This should represent the virtual counterpart of the IoT users with the ultimate goal of: (i) avoiding the user from having the burden of following the tedious processes of setting, configuring and updating IoT services the user is involved in; (ii) acting on behalf of the user when basic operations are required; (iii) exploiting to the best of its ability the IoT potentialities, always taking always account the user profile and interests. Accordingly, the VU is a complex representation of the user and acts as a proxy in between the virtual objects and IoT services and application; to this, it includes the following major functionalities: user profiling, authorization management, quality of experience modeling and management, social networking and context management. In this respect, the major contributions of this paper are to: provide the definition of VU, present the major functionalities, discuss the legal issues related to its introduction, provide some implementation details, and analyze key performance aspects in terms of the capability of the VU to correctly identify the user profile and context.

Newton and the Magic Vase of Circe

KronoScope ◽  
2004 ◽  
Vol 4 (2) ◽  
pp. 259-268
Author(s):  
Robert Martone
Keyword(s):  
Physical Theory ◽  
Active Component ◽  
World System ◽  
Fundamental Property ◽  
Physical World ◽  
Common Solution ◽  
Mechanical Philosophy ◽  
Partial Elimination ◽  
Definition Of

AbstractTime is a fundamental property of the physical world. Because time encompasses the antinomic qualities of transience and duration, the definition of time poses a dilemma for the formulation of a comprehensive physical theory. The partial elimination of time is a common solution to this dilemma. In his mechanical philosophy, Newton appears to resort to the elimination of the transient quality of time by identifying time with duration. It is suggested, however, that the transient quality of time may be identified as the active component of the Newtonian concept of inertia, a quasi occult quality of matter that is correlated with change, and that is essential to defining duration. The assignment of the transient quality of time to matter is a necessary consequence of Newton's attempt to render a world system of divine mathematical order. Newton's interest in alchemy reflects this view that matter is active and mutable in nature.

scholarly journals A survey on addressing privacy together with quality of context for context management in the Internet of Things

2013 ◽  
Vol 69 (1-2) ◽  
pp. 47-62 ◽  
Author(s):  
Sophie Chabridon ◽  
Romain Laborde ◽  
Thierry Desprats ◽  
Arnaud Oglaza ◽  
Pierrick Marie ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Context Management ◽  
Quality Of Context ◽  
The Internet Of Things

scholarly journals A Novel Approach to Medical Tourism Support System

2021 ◽  
Vol 9 (VII) ◽  
pp. 942-944
Author(s):  
Ms. Pooja Sangitrao
Keyword(s):  
Medical Tourism ◽  
Profile Analysis ◽  
User Profile ◽  
Medical Support ◽  
Novel Approach ◽  
Definition Of ◽  
Medical Recommendations ◽  
Medical Tourist ◽  
Selection Of

A new model with decision support capabilities to assist medical tourism customers is to be develop. The analysis of popularity and quality of medical tourist applications are conducted. The information sources used to arrange medical tourism trips are given in the paper. The formation of the user's medical recommendations is based on the information about symptoms of the user, processing of this information, creation / search of the user medical card, search for the coincidence of the user's symptoms with the signs of illness, finding the best treatment option for the user. The system to support medical tourism consists of seven interdependence components: user interface, user profile analysis, definition of the user disease, selection of hospitals and doctors, communication with doctors and tour organization. The system to support medical tourism which provides the user with the all necessary information about the travel organization and medical support is described. Tasks that require further research are defined.

Research on Intelligent Regulation of Ship-to-Ship Crude Oil Transfer at Sea Based on Internet of Things

2013 ◽  
Vol 860-863 ◽  
pp. 2954-2957 ◽  
Author(s):  
Xiong Guan Bao ◽  
Fang Wang ◽  
Peng Jun Zheng
Keyword(s):  
Internet Of Things ◽  
Crude Oil ◽  
Oil Spill ◽  
Regulatory System ◽  
The Internet ◽  
Management Quality ◽  
Port Operations ◽  
Regulatory Systems ◽  
The Internet Of Things

Ship-To-Ship (STS) crude oil transfer at sea is an operation where crude oil is transferred between seagoing ships moored alongside each other. Due to the complex sea conditions and the poorer lightering facilities compared with the port operations, the risk of oil spill is higher. This paper analyzes the existing regulatory systems for STS crude oil transfer in China and identified areas for improvements. An intelligent regulatory system for STS crude oil transfer at sea is proposed based on the cutting-edge technologies of the Internet of Things, which aims to improve the management quality of STS crude oil transfer at sea and effectively reduce possible losses caused by accidents.

scholarly journals A Window-Based, Server-Assisted P2P Network for VoD Services with QoE Guarantees

2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Noé Torres-Cruz ◽  
Mario E. Rivero-Angeles ◽  
Gerardo Rubino ◽  
Ricardo Menchaca-Mendez ◽  
Rolando Menchaca-Mendez
Keyword(s):  
Mobile Networks ◽  
Quality Of Experience ◽  
Fluid Model ◽  
Video On Demand ◽  
P2p Network ◽  
Video Content ◽  
5G Networks ◽  
Video File ◽  
Definition Of

We describe a Peer-to-Peer (P2P) network that is designed to support Video on Demand (VoD) services. This network is based on a video-file sharing mechanism that classifies peers according to the window (segment of the file) that they are downloading. This classification easily allows identifying peers that are able to share windows among them, so one of our major contributions is the definition of a mechanism that could be implemented to efficiently distribute video content in future 5G networks. Considering that cooperation among peers can be insufficient to guarantee an appropriate system performance, we also propose that this network must be assisted by upload bandwidth from servers; since these resources represent an extra cost to the service provider, especially in mobile networks, we complement our work by defining a scheme that efficiently allocates them only to those peers that are in windows with resources scarcity (we called it prioritized windows distribution scheme). On the basis of a fluid model and a Markov chain, we also developed a methodology that allows us to select the system parameters values (e.g., windows sizes or minimum servers upload bandwidth) that satisfy a set of Quality of Experience (QoE) parameters.

scholarly journals Feature Models Preconfiguration Based on User Profiling

2019 ◽  
Vol 12 (1) ◽  
pp. 59
Author(s):  
Ikram Dehmouch ◽  
Bouchra El Asri ◽  
Maryem Rhanoui ◽  
Mina El Maallam
Keyword(s):  
User Profile ◽  
Software Product Line ◽  
Product Line ◽  
Feature Modeling ◽  
User Profiling ◽  
Market Segment ◽  
Feature Models ◽  
Software Products ◽  
Software Product ◽  
Definition Of

Feature modeling is used to express commonality and variability among a family of software products called the software product line. To offer customized products to their customers, organizations need to build packages of features taking into consideration customer needs and preferences. This paper presents a platform named SPLP (Software Product Line Profiling) which allows pre-configuring feature models through the restriction of the configuration space to meet the requirements of a specific market segment. Considering that concerns and preferences of this latter are a key criteria to achieve a tailored pre-configuration, authors propose the integration of user profiling in the SPLP platform through the definition of a user profile model describing information about the user and the products he is used to consume. This information is then exploited by the SPLP platform to perform an automated pre-configuration according to each user profile requirements and preferences.

scholarly journals Automating IoT Data Ingestion Enabling Visual Representation

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8429
Author(s):  
Ala Arman ◽  
Pierfrancesco Bellini ◽  
Daniele Bologna ◽  
Paolo Nesi ◽  
Gianni Pantaleo ◽  
...  
Keyword(s):  
Visual Analytics ◽  
Visual Representation ◽  
Heterogeneous Devices ◽  
Device Model ◽  
Whole Process ◽  
Data Ingestion ◽  
Iot Devices ◽  
Definition Of ◽  
The Internet Of Things

The Internet of things has produced several heterogeneous devices and data models for sensors/actuators, physical and virtual. Corresponding data must be aggregated and their models have to be put in relationships with the general knowledge to make them immediately usable by visual analytics tools, APIs, and other devices. In this paper, models and tools for data ingestion and regularization are presented to simplify and enable the automated visual representation of corresponding data. The addressed problems are related to the (i) regularization of the high heterogeneity of data that are available in the IoT devices (physical or virtual) and KPIs (key performance indicators), thus allowing such data in elements of hypercubes to be reported, and (ii) the possibility of providing final users with an index on views and data structures that can be directly exploited by graphical widgets of visual analytics tools, according to different operators. The solution analyzes the loaded data to extract and generate the IoT device model, as well as to create the instances of the device and generate eventual time series. The whole process allows data for visual analytics and dashboarding to be prepared in a few clicks. The proposed IoT device model is compliant with FIWARE NGSI and is supported by a formal definition of data characterization in terms of value type, value unit, and data type. The resulting data model has been enforced into the Snap4City dashboard wizard and tool, which is a GDPR-compliant multitenant architecture. The solution has been developed and validated by considering six different pilots in Europe for collecting big data to monitor and reason people flows and tourism with the aim of improving quality of service; it has been developed in the context of the HERIT-DATA Interreg project and on top of Snap4City infrastructure and tools. The model turned out to be capable of meeting all the requirements of HERIT-DATA, while some of the visual representation tools still need to be updated and furtherly developed to add a few features.

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