Pervasive Smart Objects: Framework for Extending Smart-Object Services

A smart object can be any object that is connected to the internet and its used for any specific use. Numerous applications can be performed by making use of these smart objects. IoT is used in various applications and has obtained an immense growth in this technical era. Use of IoT in shopping can be of great use. Various research works have been propped to design various applications that could be used for smart shopping. In this paper, an RFID tag is attached to each product which consists of the information about the product. When a user tends to shop for a particular product he enters his wish list in the application provided in his smartphone. The application gives him the shops where the product is readily available and also gives the entire comparison of the product in all the possible shops. Some of the comparisons that are specified are the price difference, the location of the shop, the timings when the shop will be open and lots more. The user can compare all the possible comparisons and decide which shop he can buy the product. The performance evaluation of the application is done and numerous parameters are a measure to make it an efficient smart shopping system.

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Empowering Museum Experiences Applying Gamification Techniques Based on Linked Data and Smart Objects

Applied Sciences ◽

10.3390/app10165419 ◽

2020 ◽

Vol 10 (16) ◽

pp. 5419

Author(s):

Alejandro López-Martínez ◽

Álvaro Carrera ◽

Carlos A. Iglesias

Keyword(s):

Internet Of Things ◽

Cultural Heritage ◽

Linked Data ◽

Real Life ◽

Smart Objects ◽

Semantic Web Technologies ◽

Smart Object ◽

Web Technologies ◽

Interactive Question ◽

Advanced Interaction

Museums play a crucial role in preserving cultural heritage. However, the forms in which they display cultural heritage might not be the most effective at piquing visitors’ interest. Therefore, museums tend to integrate different technologies that aim to create engaging and memorable experiences. In this context, the emerging Internet of Things (IoT) technology results particularly promising due to the possibility of implementing smart objects in museums, granting exhibits advanced interaction capabilities. Gamification techniques are also a powerful technique to draw visitors’ attention. These often rely on interactive question-based games. A drawback of such games is that questions must be periodically regenerated, and this is a time-consuming task. To confront these challenges, this paper proposes a low-maintenance gamified smart object platform that automates the creation of questions by exploiting semantic web technologies. The platform has been implemented in a real-life scenario. The results obtained encourage the use of the platform in the museum considered. Therefore, it appears to be a promising work that could be extrapolated and adapted to other kinds of museums or cultural heritage institutions.

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MUSPEL

Handbook of Research on Innovations in Systems and Software Engineering - Advances in Systems Analysis, Software Engineering, and High Performance Computing ◽

10.4018/978-1-4666-6359-6.ch015 ◽

2015 ◽

pp. 365-385 ◽

Cited By ~ 3

Author(s):

Cristian González García ◽

Jordán Pascual Espada

Keyword(s):

Point Of View ◽

Domain Specific Language ◽

Technical Knowledge ◽

Smart Objects ◽

Smart Object ◽

Specific Language ◽

Domain Specific ◽

Modelling Framework ◽

Wide Range ◽

Great Heterogeneity

Internet of Things (IoT) is a paradigm that promotes a world in which smart objects and electronic devices communicate and coordinate autonomously to perform a wide range of tasks. From a technical point of view, the development of IoT systems is not an easy task; due to the great heterogeneity among smart objects and the large number of technologies applied, the developers of these systems must have strong technical knowledge. In this chapter, the authors use the eclipse modelling framework to define a domain-specific language that allows specifying the coordination and communication between different types of smart objects, regardless of the smart object technical characteristics. The proposed domain specific language has been designed to be used in an intuitive and easy way for people without technical knowledge. This solution aims to be useful in many areas and to achieve constant adaptation and evolution of IoT systems.

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FINAL VERSION.pdf

10.36227/techrxiv.10252637.v1 ◽

2019 ◽

Author(s):

Nasir Saeed ◽

Mohamed-Slim Alouini ◽

Tareq Y. Al-Naffouri

Keyword(s):

Graph Partitioning ◽

Three Dimensional ◽

Smart Objects ◽

Localization Technique ◽

Optical Internet ◽

Spectral Graph ◽

Accurate Localization ◽

Spectral Graph Partitioning ◽

Link Connectivity

<div>Localization is a fundamental task for optical internet</div><div>of underwater things (O-IoUT) to enable various applications</div><div>such as data tagging, routing, navigation, and maintaining link connectivity. The accuracy of the localization techniques for OIoUT greatly relies on the location of the anchors. Therefore, recently localization techniques for O-IoUT which optimize the anchor’s location are proposed. However, optimization of anchors location for all the smart objects in the network is not a useful solution. Indeed, in a network of densely populated smart objects, the data collected by some sensors are more valuable than the data collected from other sensors. Therefore, in this paper, we propose a three-dimensional accurate localization technique by optimizing the anchor’s location for a set of smart objects. Spectral graph partitioning is used to select the set of valuable</div><div>sensors.</div>

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