A conceptual model for quality of experience management to provide context-aware eHealth services

Silva, Madalena Pereira da; Gonçalves, Alexandre Leopoldo; Dantas, Mário A. R.

doi:10.1016/j.future.2019.07.033

Cited by 17 publications

(8 citation statements)

References 28 publications

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“…25" is not entirely accurate, since the X.25 standard does not actually determine the internal behavior of the network. The X.25 standard is consistent with the recommendations of the International Organization for Standardization (ISO) seven-level open system interconnection (OSI) model [1,2,3]. This model is the basis for developing standards that allow heterogeneous systems to communicate with each other.…”

Section: Introductionmentioning

confidence: 60%

The task of managing flows in a communication network of the X.25 protocol

Khawaldah

2020

jaset

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One of the most established and well-known standards for packet switched networks are the international standard X.25, The X.25 Recommendation defines the interface requirements between the user equipment (such as a terminal, bridge, router, and computer) and a packet switching network for data exchange X.25 network provides an efficient way to transfer data within one region, the country and even all over the world. The synchronous data transfer with a speed of up to 64 Kbps. The X.25 standards provides automatic error detection and correction, which allows X.25 networks to work effectively even in regions where the quality of communication lines is low. The X.25 interface provides Access to the remote user to the host computer (host). The X.25 standard describes the interface between the data entry equipment – DTE (Data Terminal Equipment) and data network equipment – DCE (Data Circuit terminating Equipment). Bridges, routers, terminals, personal computers (PCs), workstations are an example of equipment that can function as a (DTE) . When it is connected to a packet switched network. DTE provides the user part of the user-network interface. The equipment to which the DTE is connected is called DCE. DCE provides the network part of the user-network interface. Each DTE has its own DCE. However, several DTE devices can be connected to the same DCE. DTE-DTE connection is invalid; communication is only possible between DTE-DCE and DCE-DCE

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Section: Introductionmentioning

confidence: 60%

The task of managing flows in a communication network of the X.25 protocol

Khawaldah

2020

jaset

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“…As shown in Figure 6 certain low-level inferences such as human presence detection, location information etc. could serve as contextual information for a set of contextaware services [23], [24] and are required for their primary inference. That being said, unified pre-processing covers two key aspects: data aggregation and feature extraction.…”

Section: B Unified Data Pre-processingmentioning

confidence: 99%

UniPreCIS : A data pre-processing solution for collocated services on shared IoT

Das¹,

Singh²,

Chakraborty³

2022

Preprint

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Next-generation smart city applications, attributed by the power of Internet of Things (IoT) and Cyber-Physical Systems (CPS), significantly rely on the quality of sensing data. With an exponential increase in intelligent applications for urban development and enterprises offering sensing-as-aservice these days, it is imperative to provision for a shared sensing infrastructure for better utilization of resources. However a shared sensing infrastructure that leverages low-cost sensing devices for a cost effective solution, still remains an unexplored territory. A significant research effort is still needed to make edge based data shaping solutions, more reliable, feature-rich and costeffective while addressing the associated challenges in sharing the sensing infrastructure among multiple collocated services with diverse Quality of Service (QoS) requirements. Towards this, we propose a novel edge based data pre-processing solution, named UniPreCIS that accounts for the inherent characteristics of lowcost ambient sensors and the exhibited measurement dynamics with respect to application-specific QoS. UniPreCIS aims to identify and select quality data sources by performing sensor ranking and selection followed by multimodal data pre-processing in order to meet heterogeneous application QoS and at the same time reducing the resource consumption footprint for the resource constrained network edge. As observed, the processing time and memory utilization has been reduced in the proposed approach while achieving upto 90% accuracy which is arguably significant as compared to state-of-the-art techniques for sensing. The effectiveness of UniPreCIS has been evaluated on a testbed for a specific use case of indoor occupancy estimation that proves its effectiveness.

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“…The sensing of environmental signals both the home and the people, as it shown in Figure 1 from research work presented in Silva, Gonçalves and Dantas (2019). This figure provides an example, which we developed for an e-health proposal, which results in a large amount of useful data from the home and mainly from the people inside.…”

Section: Big Datamentioning

confidence: 99%

“…Ambient Assisted Living example(SILVA, GONÇALVES and DANTAS, 2019) Source: Elaborated by the authors This research work example was chosen because it is an objectively interesting effort which generates a large amount of e-health big data, without exposing people and health professionals. Libelium Cooking Hacks (2014) presented as an interesting e-health sensor environment that could help those planning on to building an environment to data collect in similar scenario.…”

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confidence: 99%

Covid-19: Where is the Digital Transformation, Big Data, Artificial Intelligence and Data Analytics?

Mendonça

Dantas

2020

RSP

Self Cite

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Digital transformation, big data, artificial intelligence and data analytics are probably the most cited computational subjects in the news around the world. Commercial and technical reports (and papers), usually, indicate high level of success in the adoption of these approaches. In contrast, the present war that the world is facing against the Covid-19, it is not common to see many references about these technologies. In this paper, we present a research work which observes approaches on how to effectively adopt these technologies for a public primary healthcare monitoring, based on Internet of Things devices. Partial results from the proposal indicates a differentiated approach to tackle large challenges, similar to these created by the actual Covid-19 pandemic scenario. In addition, our experiments shown that the adoption of these computational topics require a faster digital behavior changes, to the procedures from governments and people, to be successful as environments for individual health enhancement and protection.

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A conceptual model for quality of experience management to provide context-aware eHealth services

Cited by 17 publications

References 28 publications

The task of managing flows in a communication network of the X.25 protocol

The task of managing flows in a communication network of the X.25 protocol

UniPreCIS : A data pre-processing solution for collocated services on shared IoT

Covid-19: Where is the Digital Transformation, Big Data, Artificial Intelligence and Data Analytics?

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