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>

Evaluation of White Sesame Seed Oil on Glucose Control and Biomarkers of Hepatic, Cardiac, and Renal Functions in Male Sprague-Dawley Rats with Chemically Induced Diabetes

Farhan Aslam,Sanaullah Iqbal,Muhammad Nasir,Aftab Ahmad Anjum,Pamela Swan,Karen Sweazea 한국식품영양과학회 2017 Journal of medicinal food Vol.20 No.5

White sesame seed oil (WSSO) has been used in cooking and food preparations for centuries. It has many purported health benefits and may be a promising nutraceutical. The primary purpose of this study was to examine the effects of WSSO on fasting blood glucose (GLU) and insulin (INS) in male Sprague-Dawley rats with chemically induced diabetes. A secondary aim was to explore other hematological biomarkers of hepatic, cardiac, and renal function. Sixty-three male Sprague-Dawley rats were randomized into standard diet groups, normal control (NCON) (n = 21) and diabetic control (DCON) (n = 21), and a diabetic sesame oil (DSO) (n = 21) group, which were fed a diet containing 12% WSSO. Blood samples were analyzed at 0, 30, and 60 days. Differences between groups and across days were assessed with two-way repeated measures analysis of variance. At baseline, GLU and INS were similar in both diabetic groups, mean 248.4 ± 2.8 mg/dL and mean 23.4 ± 0.4 μU/mL, respectively. At 60 days, GLU was significantly (P < .05) higher in DCON (298.0 ± 2.3 mg/dL) compared with DSO (202.1 ± 1.0 mg/dL). INS showed similar favorable trends after WSSO supplementation. Consumption of WSSO significantly improved glucose control and other biomarkers of hepatic stress, as well as cardiac and renal health. WSSO may be a viable functional food to help reduce the detrimental effects of diabetes.

ShopUp: Revolutionizing the Retail Sector of Bangladesh

Farhan Istesham,Husnia Khaliqa Sumaita,Phillip Pardo Academy of Asian Business (AAB) 2022 Academy of Asian Business Review Vol.8 No.2

The case study provides an in-depth analysis of how ShopUp has enabled MSMEs to develop and function steadily, creating vast scopes for the retail industry of Bangladesh. Targeting its activities toward the most unorganized retail sector of the Asian market, where small businesses lack technological expertise for e-business management, capital or loan procurement methods, credible sourcing products or active delivery chains, ShopUp has managed to become the top B2B e-commerce platform of the country. Therefore, the case deconstructs the service infrastructure of ShopUp and uncovers how it moved through the development timeline, transforming from a credit provider into a unique and diversified service provider that boosted the lagging retail industry’s performance by integrating f-commerce into its operations. Following this, the study identifies the major turning points in ShopUp's journey and how it converted external challenges into market opportunities. The case then delves into ShopUp’s success factors and highlights how the company’s efficient leadership team fostered relevant partnerships and focused on vertical expansions. The final section examines ShopUp’s existing issues and suggests potential alternatives to overcome the constraints imposed by those challenges. Overall, the case study demonstrates how a company may use innovative technology to expand customer scope and redefine corporate growth.

Bandwidth Efficient Adaptive Forward Error Correction Mechanism with Feedback Channel

Farhan Azmat Ali,Pieter Simoens,Wim Van de Meerssche,Bart Dhoedt 한국통신학회 2014 Journal of communications and networks Vol.16 No.3

Multimedia content is very sensitive to packet loss and therefore multimedia streams are typically protected against packet loss, either by supporting retransmission requests or by adding redundant forward error correction (FEC) data. However, the redundant FEC information introduces significant additional bandwidth requirements, as compared to the bitrate of the original video stream. Especially on wireless and mobile networks, bandwidth availability is limited and variable. In this article, an adaptive FEC (A-FEC) system is presented whereby the redundancy rate is dynamically adjusted to the packet loss, based on feedback messages from the client. We present a statistical model of our A-FEC system and validate the proposed system under different packet loss conditions and loss probabilities. The experimental results show that 57?5%bandwidth gain can be achieved compared with a static FEC approach.

Surface Micelle formation of polyelectrolyte random copolymer at the air/water Interface

Farhan Ahmad,신관우,송주명,김준섭 한국고분자학회 2004 한국고분자학회 학술대회 연구논문 초록집 Vol.2004 No.04

Intelligent Clustering in Vehicular ad hoc Networks

( Farhan Aadil ),( Salabat Khan ),( Khalid Bashir Bajwa ),( Muhammad Fahad Khan ),( Asad Ali ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.8

A network with high mobility nodes or vehicles is vehicular ad hoc Network (VANET). For improvement in communication efficiency of VANET, many techniques have been proposed; one of these techniques is vehicular node clustering. Cluster nodes (CNs) and Cluster Heads (CHs) are elected or selected in the process of clustering. The longer the lifetime of clusters and the lesser the number of CHs attributes to efficient networking in VANETs. In this paper, a novel Clustering algorithm is proposed based on Ant Colony Optimization (ACO) for VANET named ACONET. This algorithm forms optimized clusters to offer robust communication for VANETs. For optimized clustering, parameters of transmission range, direction, speed of the nodes and load balance factor (LBF) are considered. The ACONET is compared empirically with state of the art methods, including Multi-Objective Particle Swarm Optimization (MOPSO) and Comprehensive Learning Particle Swarm Optimization (CLPSO) based clustering techniques. An extensive set of experiments is performed by varying the grid size of the network, the transmission range of nodes, and total number of nodes in network to evaluate the effectiveness of the algorithms in comparison. The results indicate that the ACONET has significantly outperformed the competitors.

Wakes of two inline cylinders at a low Reynolds number

Farhan Zafar,Md. Mahbub Alam,Zaka Muhammad,Md. Islam 한국풍공학회 2019 Wind and Structures, An International Journal (WAS Vol.29 No.1

The effect of vortex impingement on the fluid dynamics around a cylinder submerged in the wake of another of different diameters is numerically investigated at a Reynolds number Re = 200. While the diameter (D) of the downstream cylinder is fixed, impinging vortices are produced from the upstream cylinder diameter (d) varied as d/D = 0.24, 0.4, 0.6, 0.8 and 1.0, with a spacing ratio L = 5.5d, where L is the distance between the center of the upstream cylinder to the front stagnation point of the downstream cylinder. Two-dimensional simulations are carried out using the finite volume method. Fluid forces acting on the two cylinders are correlated with impinging vortices, vortex shedding, and wake structure. Different facets of wake formation, wake structure, and flow separation and their connections to fluid forces are discussed.

Molecular organization of Poly (2-vinylpyridine-b-hexyl isocyanate) rod-coil diblock copolymers at the air/water Interface

Farhan Ahmad,신관우,한상호,이재석 한국고분자학회 2004 한국고분자학회 학술대회 연구논문 초록집 Vol.29 No.2

The Diagnosis of Diabetic Retinopathy: A Transfer Learning Approach

Farhan Nabil Mohd Noor,Anwar P.P. Abdul Majeed,Mohd Azraai Mod Razman,Ismail Mohd Khairuddin,Wan Hasbullah Mohd Isa 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10

Diabetic Retinopathy is one of the complications of diabetes mellitus that occurs to the eye. It damages the blood vessels, which cause the leaking of the blood and other fluids due to the elevated blood glucose level. Diabetic Retinopathy is a quiet ailment that patients may not discover until abnormalities in the retina have progressed to the point that medication is difficult or impossible. It can also result in patients losing their sight completely. However, an automated screening machine may help overcome this problem by helping the ophthalmologist diagnose diabetic retinopathy patients as soon as possible. Hence, this research investigates the effectiveness of automatic screening machine by employing the Transfer Learning model such as VGG16 to extract the features and fed them to the Support Vector Machine (SVM), k-Nearest Neighbour (kNN) and Random Forest (RF) for the classification. It was shown that the VGG16-SVM pipeline displayed the most promising performance on the classification of Diabetic Retinopathy.

A Review of Cross-Cultural Design to Improve User Engagement for Learning Management System

Farhan Hanis Muhmad Asri,Dalbir Singh,Zulkefli Mansor,Helmi Norman 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.2

Online learning has become a widespread practice for students and teachers in acquiring and delivering knowledge. Education platforms have become prominent in the 21st century with the evolution of technology and the accessibility to online learning. As a result, various learning management systems (LMSs) have been introduced to facilitate online interaction between users. For instance, communication between students and teachers at school. However, there is a need to emphasise user engagement in LMS to enhance the online learning experience amongst students since the design of LMS affects user engagement. This study utilised a systematic literature review (SLR) that examined 74 articles published between 2014 and 2023, focusing on cross-cultural design (CCD), user-centred design (UCD), and usability in LMS design. This study aimed to review CCD and its association with UCD, user interfaces (UI), and user experience (UX) in the context of LMS. CCD has been introduced as an approach to design that embraces different cultures, languages, and social contexts, while UCD plays a significant role in defining user engagement for LMS. All elements in CCD and UCD help create a better user experience for LMS. Besides, this study reviewed the usability of selected LMS to give insights to developers in creating a positive user engagement. An insight into cultural factors that influence the usability of LMS has revealed their value for LMS design, such as the UI/UX elements. Initially, this study may guide future researchers in improving education quality by emphasising CCD and LMS usability, which can enhance user engagement.