scholarly journals Content Service Platform for Providing User-Centric Content in Smart Environments

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Joonseok Park ◽  
Dongwoo Lee ◽  
Keunhyuk Yeom

Smart environments, such as smart cities and streets, contain various heterogeneous devices and content that provide information to users and interact with each other. In a smart environment, appropriate content should be provided based on the situations of users. Additionally, when a user is in motion, it is necessary to provide content in a seamless manner without interruption. A method for systematically controlling the delivery of such content is required. Therefore, we propose a content service platform to meet the needs discussed above. The content service platform supports the delivery of content and events between different devices, as well as the control of content. Context-aware technology can also be applied to support customized content. In this paper, we present an architectural model, a contextual reasoning process, and case study on applying content service platform to a smart street environment. The proposed content service platform applied as a base model to support the provision of user-specific content in smart environments.

Author(s):  
Somayya Madakam

The word “Smart Cities” is the new buzzword in every corner of the world. Many countries across the continents are trying to plant new smart cities or in the conversion process of existing cities. Bali (Indonesia) also seems to be in a conversion process of its Brown Field Cities. This research manuscript attempts to explore the Bali (Island) as a Smart Island regarding Smart Environment, Smart Economy, Smart Governance, Smart Mobility, Smart Living and Smart People dimensional perspective. This research manuscript has adopted a triangulation method for thematic narration since the study is qualitative and case study. The study explored that still Bali/Balinese cities is/are still baby stepping of smart cities plantations. There needs to be lot of work has to be done to become Smart Bali Island. The findings will help the Bali government to understand how far they could become full-fledged Smart Island by providing the Quality of Life to citizens and economic development of Bali


2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
J. Madhusudanan ◽  
S. Geetha ◽  
V. Prasanna Venkatesan ◽  
U. Vignesh ◽  
P. Iyappan

Pervasive computing has made almost every device we see today to be communicated and function in collaboration with one another. Since the portable devices have become a part of our everyday life, people are more involved in a pervasive computing environment. They engage with many computational devices simultaneously without knowing the availability of their existence. The current world is being filled with more and more smart environments. These smart environments make them to be attracted towards the new technological emergence in the field of pervasive computing. Various researches are being carried out to improve the smart environment and their applications. Middleware plays a vital role in building the pervasive applications. The pervasive devices act based on the context of the situation, that is, they do their actions according to the environment of the application. They react to the situations smartly as they can take their own decisions based on the context developed for that specific application. Most of the pervasive applications were using its own middleware that is specific towards their need. As today, most of the applications are using their own middleware with their specific requirement, which leads us to unearth out their common features and their scope of using it. In this paper, a survey on the various hybrid aspects of the different context-aware middleware has been done. This middleware is classified based on service, context, and device aspects. Merits and demerits are identified from the existing smart environments, and future perspective of their development such as generic context-aware middleware need has been discussed.


Author(s):  
Viktoriya Degeler ◽  
Alexander Lazovik

Recent years marked many smart environment solutions hitting the market and applying latest pervasive computing research advancements on an industrial scale. Context-aware smart environments are able to act accordingly to the immediate environment information in an intelligent, predefined, learned, or automatically inferred way, and are able to communicate to their users, thus increasing users’ comfort and awareness level. Since the beginning of the 2000s, many projects have been designing and implementing smart environment systems. When looking post-factum at the architectures of these systems, one can notice a lot of similarities among them. With the same basic structure, the biggest differences usually arise at the level of individual components, aimed to satisfy different end-level requirements. Taking many successful and undergoing projects as case-studies, this chapter looks for the common structure, the common patterns, and the “best practices” that can help future projects to reduce the efforts spent on the general system frame, and redirect those efforts to more specific requirements that are unique in every project. It introduces several architecture layers that inevitably exist in one form or another, discusses the possible layer components and the common information flows, and mentions the most notable problems, such as scalability and fault tolerance. Several case studies of successful or undergoing smart building projects show that the presented pattern can be easily mapped to their architectures.


2019 ◽  
Vol 10 (3) ◽  
pp. 74-91
Author(s):  
Tao Lu ◽  
Dan Zhao

In smart environments, context-aware service sense various kinds of context information and reacts automatically to adapt to changing circumstances. These adaptions may lead to context changes which trigger other services elsewhere in the environment and thus produce cascading reactions. Conflict adaptions or unexpected side effects may exist in this process. This article focuses on service conflicts related to frustrations in service execution and violations of the service's objective. A petri net-based approach is proposed to model and simulate context changes as well as services execution, and a conflicts discovery mechanism was built to detect potential conflicts. The case study of smart home scenarios shows how the method helps locate conflicts caused by different services, validating the effectiveness of the proposed approach.


2017 ◽  
Vol 14 (1) ◽  
pp. 239-255 ◽  
Author(s):  
Jorge Gomez-Sanz ◽  
Rafael Pax ◽  
Millán Arroyo ◽  
Marlon Cárdenas-Bonett

Developing a large, but smart environment is a complex task that requires the collaboration of experts of different disciplines. How to successfully attain such collaboration is not a trivial matter. The paper illustrates the problem with a case study where the manager of the facility intends to influence pedestrians so that they choose a task that requires certain effort, e.g. using staircases, instead of the current one that requires less effort, e.g. using the elevator. Defining requirements for such scenarios requires a strong multidisciplinary collaboration which is not currently well supported. This paper contributes with an approach to provide non-technician experts with tools so that they can provide feedback on the requirements and verify them in a systematic way.


Author(s):  
Fulvio Mastrogiovanni ◽  
Antonello Scalmato ◽  
Antonio Sgorbissa ◽  
Renato Zaccaria

This chapter introduces a framework for enabling context-aware behaviors in smart environment applications, with a special emphasis on smart homes and similar scenarios. In particular, an ontology-based architecture is described that allows system designers to specify non-trivial situations the system must be able to detect on the basis of available sensory data. Relevant situations may include activities and events that could be prolonged over long periods of time. Therefore, the ontology encodes temporal operators that, once applied to sensory information, allow the recognition and efficient correlation of different human activities and other events whose temporal relationships are contextually important. Special emphasis is devoted to actual representation and recognition of temporally distributed situations. The proof of the concept is validated through a thoroughly described example of system usage.


2018 ◽  
pp. 60-67
Author(s):  
Henrika Pihlajaniemi ◽  
Anna Luusua ◽  
Eveliina Juntunen

This paper presents the evaluation of usersХ experiences in three intelligent lighting pilots in Finland. Two of the case studies are related to the use of intelligent lighting in different kinds of traffic areas, having emphasis on aspects of visibility, traffic and movement safety, and sense of security. The last case study presents a more complex view to the experience of intelligent lighting in smart city contexts. The evaluation methods, tailored to each pilot context, include questionnaires, an urban dashboard, in-situ interviews and observations, evaluation probes, and system data analyses. The applicability of the selected and tested methods is discussed reflecting the process and achieved results.


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