A comparative study on Internet of Things (IoT):  Frameworks, Tools, Applications and Future directions

Mohamed, Mona A.

doi:10.54216/jisiot.010102

Cited by 30 publications

(7 citation statements)

References 14 publications

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“…e digital twin technologies used include "machineobject-environment" interconnection technologies in physical space, such as distributed collaborative control of heterogeneous resources, resource status awareness access (such as distributed RFID and smart meters), and multisource data encapsulation [23,24]; virtual robot modeling and operation simulation technology, such as "elementbehavior-rule" multidimensional modeling, model fusion, and model operation simulation and verification; digital twin ICR operation technology, such as real-time interaction and control of virtual and real space; and twin data management technologies, such as virtual-real bidirectional mapping and data-structured cluster storage [25].…”

Section: System Development Key Technologymentioning

confidence: 99%

TCM Physical Health Management Training and Nursing Effect Evaluation Based on Digital Twin

Jiang

Fei

2022

Scientific Programming

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Traditional Chinese medicine (TCM) has been shown to be effective in the treatment of diseases such as malaria, being better understood and accepted by the world. TCM physical health management is based on the policy of “preventive disease,” comprehensively collects patients’ information, and provides timely and appropriate rehabilitation guidance to achieve the best nursing effect. However, the current TCM physical health management has not been understood by the public, and the effect of its nursing evaluation has not been concluded yet. Therefore, this paper aims to design a TCM physical health management training and learning system based on digital twin technology and to evaluate and analyze the nursing effect. For TCM physical health management training, this paper designed a training system based on the VIKOR algorithm. Based on digital twin technology, the training can be carried out at different times and places, and the teaching content can also be displayed in real time through the cloud platform, which intuitively and comprehensively reflects the teaching content. For the evaluation of nursing effect, this paper selected 100 patients and divided them into two groups to compare the nursing effect of TCM physical health management and general Western medicine nursing. The experimental results of this paper found that the nursing effect of TCM physical health management is 20%–60% better than that of Western medicine nursing in terms of blood pressure, TCM syndromes, exercise tolerance, and quality of life.

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Section: System Development Key Technologymentioning

confidence: 99%

TCM Physical Health Management Training and Nursing Effect Evaluation Based on Digital Twin

Jiang

Fei

2022

Scientific Programming

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“…In his comprehensive study, Mohamed (2020) undertook an extensive examination wherein he analyzed and juxtaposed different Internet of Things (IoT) frameworks to distill their core principles into three main paradigms: Internet-Oriented IoTs, Thing-Oriented IoTs, and Semantic-Oriented IoTs. As depicted in Figure 1, the paradigms were further classified into middleware, sensors, and knowledge, forming the Internet of Things (IoT).…”

Section: Iot Componentsmentioning

confidence: 99%

Unlocking Internet of Things (IoT) for Enhanced Knowledge Management and Organizational Performance: A Case Study of Diverse Industry Players in the Philippines

Sangalang,

Ancla,

Chong

et al. 2024

IJMABER

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Web 3.0 resulted in the increased decentralization of information, especially upon the emergence of the Internet of Things (IoT). IoT has revolutionized data transfer and has since reshaped knowledge management in organizations. This research focuses on how the IoT enables real-time data sharing and its impact on enhancing knowledge management and business processes in various local businesses. The study examines how five Philippine enterprises utilize the IoT through a qualitative embedded cross-case analysis. Several methods, like interviews, focus groups, and questionnaires, helped gather insights into how the IoT influences knowledge management processes. The research follows a case study approach, and the findings reveal that IoT boosts the generation, storage, sharing, and utilization of knowledge, aiding organizations in enhancing operational efficiency and product and service quality, thus improving business processes. Further, the research offers insights into the IoT possibilities. It provides practical recommendations for seamless integration through the companies' capabilities that enhance their knowledge management and operational results, gaining insights for strategic implementation.

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“…In the embedded system, IoT technologies are broadly used to integrate wireless objects for information collection, processing, and facilitating the physical world [21][22][23]. The data gathering and transmission depend on various parameters including computing power, storage space, and energy utilization.…”

Section: Related Workmentioning

confidence: 99%

Optimized Embedded Healthcare Industry Model with Lightweight Computing Using Wireless Body Area Network

Saba

Haseeb

Bahaj

et al. 2022

Wireless Communications and Mobile Computing

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Wireless technology is offering numerous growth to develop communication systems. The Internet of Things (IoT) is combined with the sensing ecosystem to transfer and process the physical environment. Recently, IoT devices have collaborated with wireless devices to improve embedded medical applications. Many solutions are proposed to decrease the power consumption of the sensing ecosystem and support the health industry. However, optimizing the transformation of collected data with lightweight power consumption is still a burning research issue. Moreover, uncontrolled network devices and healthcare professionals are remotely accessed by such embedded systems. Thus, securing sensitive information is also a significant factor for mobile communications. Therefore, this research presents an optimized embedded healthcare industry model with lightweight computing using a wireless body area network (WBAN), aiming to lessen the control overheads and improve the power consumption in mobile e-health services. To begin, it employs an optimal learning algorithm to lower the management costs of embedded systems in order to transform and administer the electronic health record (EHR) more efficiently. Second, with the help of trustworthy gateways, it delivers a safe EHR algorithm as well as lightweight computing resources for embedded systems. The proposed model is tested with a variety of experiments and demonstrates its significant improvement over state-of-the-art techniques.

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A comparative study on Internet of Things (IoT): Frameworks, Tools, Applications and Future directions

Cited by 30 publications

References 14 publications

TCM Physical Health Management Training and Nursing Effect Evaluation Based on Digital Twin

TCM Physical Health Management Training and Nursing Effect Evaluation Based on Digital Twin

Unlocking Internet of Things (IoT) for Enhanced Knowledge Management and Organizational Performance: A Case Study of Diverse Industry Players in the Philippines

Optimized Embedded Healthcare Industry Model with Lightweight Computing Using Wireless Body Area Network

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