An Ontology Driven Software Framework for the Healthcare Applications Based on ANT+ Protocol

Mehmood, Nadeem Qaisar; Culmone, Rosario; Mostarda, Leonardo

doi:10.1109/waina.2014.48

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…The data access control is enabled using the permissions that are defined with the object properties. Mehmood et al [25] introduced a framework to classify the devices depending on the functionality. An abstraction layer avoids the hardware constraints and network connectivity issues.…”

Section: Related Workmentioning

confidence: 99%

RETRACTED ARTICLE: Hybrid method for mining rules based on enhanced Apriori algorithm with sequential minimal optimization in healthcare industry

Sornalakshmi

Balamurali

Venkatesulu

et al. 2020

Neural Comput & Applic

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Data mining may enable healthcare organizations, with analysis of the different prospects and connection between seemingly unrelated information, to anticipate trends in the patient's medical condition and behavior. Raw data are large and heterogeneous from healthcare organizations. It needs to be collected and arranged, and its integration enables medical information systems to be integrated in a united way. Health data mining offers unlimited possibilities to evaluate numerous less obvious or secret data models utilizing common techniques for study. Association rule mining (ARM) is an effective technique for detecting the connection of the data which are the most commonly used and influential algorithms in ARM for an Apriori algorithm. However, it generates a large amount of rules and does not guarantee the efficiency and value of the knowledge created. In order to overcome this issue, an enhanced Apriori algorithm (EAA) based on the knowledge of a context ontology (EAA-SMO) methodology for sequential minimal optimization (SMO) is suggested. The simple knowledge is to establish the ideas of ontology as a hierarchical structure of the conceptual clusters of specific subjects, which comprises ''similar'' concepts that mean an exact category of the knowledge within the domain. There is an interesting rule for each cluster based on the correlation between the items. In addition, the rule developed is classified as a prediction model for anomaly detection based on SMO regression. The experimental analysis demonstrates the proposed method improved 2% of accuracy and minimizes the execution time by 25% when compared to semantic ontology.

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Section: Related Workmentioning

confidence: 99%

RETRACTED ARTICLE: Hybrid method for mining rules based on enhanced Apriori algorithm with sequential minimal optimization in healthcare industry

Sornalakshmi

Balamurali

Venkatesulu

et al. 2020

Neural Comput & Applic

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“…It uses the 2.4 GHz license‐free band, which provides high‐quality communication at low‐power using low‐cost transceivers. ANT+ networks can be configured into peer‐to‐peer, star, tree, and mesh topologies …”

Section: Security Requirements System Models Threat Models and Promentioning

confidence: 99%

Challenges of securing Internet of Things devices: A survey

Samaila

Neto

Fernandes

et al. 2018

Security and Privacy

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The current vision of the Internet of Things (IoT) is to ensure that everything from everywhere is connected to the Internet at all times using Internet Protocol (IP). This idea has the potential of making homes, cities, electric grids, among others, safer, more efficient, and easier to manage. Nevertheless, a number of obstacles still remain to fully realize the IoT vision, with security and privacy among the most critical. Ensuring security and privacy in the IoT is particularly complicated, especially for the resource‐constrained devices due to finite energy supply and low computing power. These factors are typically at odds with most of the existing security protocols and schemes proposed for the IoT because of the intensive computational nature of the cryptographic algorithms involved. This paper performs an extensive comparison of previous surveys on the subject, and shows its novelty with respect to the previous work. It describes 9 application domains and presents, in detail, security requirements, system models, threat models along with protocols and technologies for those 9 application areas. The survey also performs an exhaustive examination of some existing mechanisms and approaches proposed in the literature for ensuring security and privacy of IoT devices. Finally, it outlines some open research issues associated with IoT security.

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“…To the best of our knowledge, a methodology has not been provided by anyone for using Windows service for ANT+ sensors’ data acquisition and management. The theoretical work presented in [42] relates to ours in the context of the goals and the application domain; however, it is very high level and hypothetical with untidy lose boundaries and is incomplete, whereas the current work is pragmatic and depicts the results. In [43], we presented a system which acquires and stores ANT+ sensor data locally in a structural compressed format while taking advantage of the ANT+ FIT and FS extension features.…”

Section: Related Workmentioning

confidence: 99%

A Flexible and Scalable Architecture for Real-Time ANT+ Sensor Data Acquisition and NoSQL Storage

Mehmood

Culmone

Mostarda

2016

International Journal of Distributed Sensor Networks

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Wireless Personal or Body Area Networks (WPANs or WBANs) are the main mechanisms to develop healthcare systems for an ageing society. Such systems offer monitoring, security, and caring services by measuring physiological body parameters using wearable devices. Wireless sensor networks allow inexpensive, continuous, and real-time updates of the sensor data, to the data repositories via an Internet. A great deal of research is going on with a focus on technical, managerial, economic, and social health issues. The technical obstacles, which we encounter, in general, are better methodologies, architectures, and context data storage. Sensor communication, data processing and interpretation, data interchange format, data transferal, and context data storage are sensitive phases during the whole process of body parameter acquisition until the storage. ANT+ is a proprietary (but open access) low energy protocol, which supports device interoperability by mutually agreeing upon device profile standards. We have implemented a prototype, based upon ANT+ enabled sensors for a real-time scenario. This paper presents a system architecture, with its software organization, for real-time message interpretation, event-driven based real-time bidirectional communication, and schema flexible storage. A computer user uses it to acquire and to transmit the data using a Windows service to the context server.

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An Ontology Driven Software Framework for the Healthcare Applications Based on ANT+ Protocol

Cited by 6 publications

References 7 publications

RETRACTED ARTICLE: Hybrid method for mining rules based on enhanced Apriori algorithm with sequential minimal optimization in healthcare industry

RETRACTED ARTICLE: Hybrid method for mining rules based on enhanced Apriori algorithm with sequential minimal optimization in healthcare industry

Challenges of securing Internet of Things devices: A survey

A Flexible and Scalable Architecture for Real-Time ANT+ Sensor Data Acquisition and NoSQL Storage

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