An Information Architecture Framework for the Internet of Things

Lacerda, Flávia; Lima-Marques, Mamede; Resmini, Andrea

doi:10.1007/s13347-018-0332-4

Cited by 11 publications

(8 citation statements)

References 16 publications

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“…Lacerda, Lima-Marques and Resmini [43], with reference to Resmini and Lacerda [44], and Benyon and Resmini [45], define information architecture units as "actor-driven, information-based, semantic constructs connecting individual touchpoints into (a) transient architecture", assuming that actors (virtual museum users) use agents (virtual museums) to cross the boundaries of the information space that connect the contact points to achieve the desired position in the future, which from the educational perspective means scaffold learning outcomes and metacognition. This information space brings together previously unrelated information spaces in various ecosystems that participate in the wider infosphere [46], combining individuals, artefacts, places and events, and act as learning agents.…”

Section: Smart Learning Environmentsmentioning

confidence: 98%

“…This information space brings together previously unrelated information spaces in various ecosystems that participate in the wider infosphere [46], combining individuals, artefacts, places and events, and act as learning agents. Lacerda, Lima-Marques and Resmini define 16 information architecture principles that can be divided into three categories, which are: (i) Architectural principles that take into account the perspective of information space and artefacts; (ii) human principles that take into account the subjective perspective of subject/object interaction; and (iii) systemic principles that take into account the perspective between artefacts, actors and systems in information ecosystems [43].…”

Section: Smart Learning Environmentsmentioning

confidence: 99%

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Virtual Museums as Learning Agents

Daniela

2020

Sustainability

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Virtual solutions for exhibiting museum collections are no longer a novelty, as such experiences already exist in the world, but the remote use of museum collections for learning purposes has so far not been widely used in the educational environment. This article analyzes virtual museum applications by evaluating them from a learning perspective, including 25 criteria in the evaluation rubric divided into three groups: (i) Technical performance; (ii) information architecture; and (iii) educational value. This will enable educators to select the most appropriate material for their specific learning purpose and to plan the most appropriate learning strategies by organizing training sessions to acquire knowledge that can be enhanced by museum information and teaching students digital skills in evaluating information available in the digital environment, analyzing its pros and cons to teach them how to develop new innovative solutions. The research is carried out from a phenomenological perspective; to be more precise, virtual museums are analyzed using the principles of transcendental design and a hermeneutic design is used to interpret the resulting data. A total of 36 applications of virtual museums were analyzed, whereupon the results were compiled using static data analysis software, while 13 applications were used for the hermeneutic data analysis. The results suggest that the strength of virtual museums is in information architecture, but less attention is paid to the educational value of the material, which points to the need to change the principles of virtual museum design and emphasizes the role of teachers in using virtual museums as learning agents.

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Section: Smart Learning Environmentsmentioning

confidence: 98%

Section: Smart Learning Environmentsmentioning

confidence: 99%

Virtual Museums as Learning Agents

Daniela

2020

Sustainability

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“…It introduces a principle-based, human-centered approach to 2 Mathematical Problems in Engineering designing IoT artifacts that links the Internet of ings to the conceptualization of cross-channel ecosystems in current information architecture theory and practice. According to the metamodel methodology, it is necessary to establish an interdisciplinary theoretical framework to promote a human-centered comprehensible understanding of the Internet of ings phenomenon and its consequences [18]. Durao proposes a model for selecting IoT technology.…”

Section: Introductionmentioning

confidence: 99%

Application Research of Internet of Things Technology in the Causes of Dragon Boat Sports Injury

Wang

Xia

2021

Mathematical Problems in Engineering

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In recent years, the Internet of Things technology can effectively innovate applications and services. The Internet of Things technology has become more and more popular. It provides an effective and direct bridge between the physical world and virtual objects in cyberspace. With the increase in the intensity of dragon boat training and the increasingly fierce competition, the possibility of injury is increasing. Dragon boat racing is a noncontact team sport based on strength and technology. The purpose of this paper is to solve the problem of people's lack of understanding of the sports injuries and causes of dragon boat athletes. We used the data fusion algorithm and cluster maintenance optimization algorithm to study the application of Internet of Things technology in the cause of dragon boat sports injury. In order to save energy, extend the network life cycle, shorten service interruption time, and increase data packet transmission, the cluster maintenance optimization algorithm in this paper mainly improves and optimizes the startup time of cluster maintenance, which depends on the maintenance cost. The experiment result shows that the etiological detection system proposed in this paper matches the actual sports injury results well. The experiment result shows that the research on the cause of injury in dragon boat sports based on Internet of Things technology can detect the damage law well and can have a more comprehensive understanding for the cause of injury, which helps to prevent injuries better and take effective treatments. In the analysis part, it can be concluded that the detection system is very accurate in detecting the cause, and the accuracy rate is basically 100%.

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“…The Server Link process on the sensing-end is developed based on NodeJS. It connects to the server through the Server-iot-device-sdk library and listens to downstream messages from the server [31], including ''connect'', ''error'', and ''property/set''. After the Server Link process hears the ''property/set'' message, the program will parse it and post the analysis result to the ''property/set'' and ''property/clear'' topics via node_redis, which are used for the calibration and clearing of the MKB0803 sensor respectively.…”

Section: B System Design Principlementioning

confidence: 99%

Continuous Blood Pressure Measurement Platform: A Wearable System Based on Multidimensional Perception Data

et al. 2020

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The mobile crowd sensing technology in the environment integrating human, machines and things is an emerging direction in social computing. In kinematics research, continuous blood pressure monitoring and calibration are the basis for revealing the correlation between athlete motor function and blood pressure. At the same time, in the field of medical research, hypertension can be more easily controlled, thus improving the effectiveness of hypertension treatment. This paper presents the design principle of a human-machine fusion system based on CrowdOS, a mobile crowd sensing platform. The system innovatively establishes the correlation between blood pressure and exercise, improves the accuracy of cuffless blood pressure measurement, and verifies the feasibility of calibrating continuous cuffless blood pressure measurement based on exercise information. Using our system and electronic cuff sphygmomanometer, we measured 65 groups of data in walking, running, sitting and climbing stairs, each group lasting about 10 minutes. Based on these data, we established a regression analysis model for blood pressure measurement calibration. The accuracy of blood pressure calibration was improved from the original systolic root mean square error of 13.43mmHg and diastolic root mean square error of 8.35mmHg to 9.76mmHg and 5.56mmHg. The design method proposed in this paper provides a feasible solution for continuous cuffless blood pressure measurement and calibration, and shows broad application prospects in the fields of athlete scientific training and medical care. INDEX TERMS IoT, human-computer interaction, blood pressure calibration, blood pressure monitoring.

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An Information Architecture Framework for the Internet of Things

Cited by 11 publications

References 16 publications

Virtual Museums as Learning Agents

Virtual Museums as Learning Agents

Application Research of Internet of Things Technology in the Causes of Dragon Boat Sports Injury

Continuous Blood Pressure Measurement Platform: A Wearable System Based on Multidimensional Perception Data

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