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Semantic interoperability for big-data in heterogeneous IoT infrastructure for healthcare
Ullah, Farhan,Habib, Muhammad Asif,Farhan, Muhammad,Khalid, Shehzad,Durrani, Mehr Yahya,Jabbar, Sohail Elsevier 2017 Sustainable cities and society Vol.34 No.-
<P><B>Abstract</B></P> <P>Interoperability remains a major burden to the developers of Internet of Things systems. It is due to IoT devices are extremely heterogeneous regarding basic communication protocols, data formats, and technologies. Furthermore, due to the absence of worldwide satisfactory standards, Interoperability tools remains imperfect. In this paper, we have proposed Semantic Interoperability Model for Big-data in IoT (SIMB-IoT) to deliver semantic interoperability among heterogeneous IoT devices in health care domain. This model is used to recommend medicine with side effects for different symptoms collected from heterogeneous IoT sensors. Two datasets are taken for the analysis of big-data. One dataset contains diseases with drug details and the second dataset contains medicines with side effects. Information between physician and patient are semantically annotated and transferred in a meaningful way. A Lightweight Model for Semantic annotation of Big-data using heterogeneous devices in IoT is proposed to provide annotations for big data. Resource Description Framework (RDF) is a semantic web framework that is recycled to communicate things using Triples to make it semantically significant. RDF annotated patients’ data and made it semantically interoperable. SPARQL query is used to extract records from RDF graph. Tableau, Gruff-6.2.0, and Mysql tools are used in simulation in this article.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A Lightweight SIMB-IoT model is proposed for heterogeneous IoT devices for semantic interoperability in healthcare domain. </LI> <LI> Intelligent health cloud recommends drugs and their side effects against the input of different diseases’ symptoms. </LI> <LI> Semantic data analytics is used to expose hidden patterns from a large volume of the big dataset. </LI> <LI> SPARQL is used to interact with the document, indexed by MedDRA repository’s keywords. </LI> </UL> </P>
Administrative Role of the ‘Gendered Other’ in Medieval India
M. Asif Noor,Israr Ullah Khan 아시아사회과학학회 2022 Jornal of Asia Social Science Vol.6 No.2
The aim of the paper is to investigate the role of eunuchs and transgender i.e. the gendered other in central and provincial administration of Medieval India. In order to achieve the aim, the paper presents (1) a basic architecture of the significance of various administrative posts in Medieval India, (2) the gendered other’s role in the executive, military, police, finance management and judiciary (3) the gendered other’s role in the medicinal provision of the Empire. The paper is based on multiple historical records and article analysis including Ain I Akbari, Tazkiratul Waqiat as well as articles written by Lubna Irfan and Shadab Bano.
Arun Asif,박성혁,Afaque Manzoor Soomro,Muhammad Asad Ullah Khalid,Abdul Rahim Chattikatikatuveli Salih,강보혜,Faheem Ahmed,김경환,최경현 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.98 No.-
In microfluidics, the emergingfield of microphysiological systems (MPS) is overcoming the challenge ofphysiological irrelevancy by animal models for drug discovery and development. Liver function iscritically influenced by drugs owing to its role in drug metabolism and detoxification. Human serumalbumin (HSA) is one of the most important secreted biomarkers which indicate normal liver function. Amicrofluidic albumin immunosensor was developed to be integrated with liver-on-a-chip MPS forcontinuous feedback over disease modeling and treatment. A gold-electrode based electrochemicalimmunosensor was established by anti-HSA antibody immobilization. The liver MPS was found to beefficient for live monitoring of disease modelling and drug treatment over the period of 6 days. Thesystem emulated and analyzed real-time toxicity modeling with HSA sensing. The detection limit ofintegrated sensor was 1 mg/ml with successive reproducibility. The proposed sensor was also validatedwith metabolic biomarkers’ assays. Molecular assays supported the sensor monitoring and depicted liverinjury and recovery. The liver MPS with combined albumin sensor chip may be a promising platform tomimic real-time drug assessment.