Perceived Security Risk Based on Moderating Factors for Blockchain Technology Applications in Cloud Storage to Achieve Secure Healthcare Systems

Jawarneh, Malik; Alshar’e, Marwan; Bhargava, Deepshikha; Neware, Rahul; Singh, Balbir; Ngulube, Peter

doi:10.1155/2022/6112815

Cited by 32 publications

(48 citation statements)

References 42 publications

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“…This type of training is used for engineers and also in the medical field where artificial virtual surgery simulation can be performed for training purpose. We can use demographic factors acceptance VR and relation extraction [81,82] in hybrid evaluation of users in educational games [83] also used to perceive security risk based on modern factors for blockchain technology [84]. We compared our model performance with the state-of-the-art methods that also have very good results.…”

Section: Visualization and Metricsmentioning

confidence: 99%

Real Objects Understanding Using 3D Haptic Virtual Reality for E-Learning Education

Chelloug¹,

Alsuhibany²,

Alsufyani³

et al. 2023

Computers, Materials &Amp; Continua

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In the past two decades, there has been a lot of work on computer vision technology that incorporates many tasks which implement basic filtering to image classification. The major research areas of this field include object detection and object recognition. Moreover, wireless communication technologies are presently adopted and they have impacted the way of education that has been changed. There are different phases of changes in the traditional system. Perception of three-dimensional (3D) from two-dimensional (2D) image is one of the demanding tasks. Because human can easily perceive but making 3D using software will take time manually. Firstly, the blackboard has been replaced by projectors and other digital screens so such that people can understand the concept better through visualization. Secondly, the computer labs in schools are now more common than ever. Thirdly, online classes have become a reality. However, transferring to online education or e-learning is not without challenges. Therefore, we propose a method for improving the efficiency of e-learning. Our proposed system consists of twoand-a-half dimensional (2.5D) features extraction using machine learning and image processing. Then, these features are utilized to generate 3D mesh using ellipsoidal deformation method. After that, 3D bounding box estimation is applied. Our results show that there is a need to move to 3D virtual reality (VR) with haptic sensors in the field of e-learning for a better understanding of real-world objects. Thus, people will have more information as compared to the traditional or simple online education tools. We compare our result with the ShapeNet dataset to check the accuracy of our proposed method. Our proposed system achieved an accuracy of 90.77% on plane class, 85.72% on chair class, and car class have 72.14%. Mean accuracy of our method is 70.89%.

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Section: Visualization and Metricsmentioning

confidence: 99%

Real Objects Understanding Using 3D Haptic Virtual Reality for E-Learning Education

Chelloug¹,

Alsuhibany²,

Alsufyani³

et al. 2023

Computers, Materials &Amp; Continua

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“…This consequently will greatly contribute to increased acceptance level of virtual reality learning in these regions. Furthermore, behavioral intention was significantly impacted by Personal Innovativeness (PInn) on actual acceptance Use behavior [34][35][36][37][38][39][40][41]. Hence, educational bodies in the Middle East should consider investing massively in virtual reality learning and in other innovations of information technology to increase their support towards efficient service delivery while also increasing the services of virtual reality learning [42][43][44][45][46][47][48].…”

Section: Research Studiesmentioning

confidence: 99%

Untitled

2022

GSC Adv. Eng. Technol.

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The goal of this study is to determine the importance of IS success and its relationships with the intent to use, utilization, user happiness, and net benefits of VR-learning at six Jordanian universities. This study focuses on the use of cultural and social elements that have been identified as important in improving students' learning processes, with the goal of persuading university administrators to pay attention to factors that influence the usage of VR-learning. At Jordan, however, there has been little success with VR-learning adoption in higher education institutions. In addition, only a few research have looked at the aspects that influence the success of VR-learning deployment.

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“…A battery-based optimal communication environment has been similarly suggested as an optimal environment. The communication environment needs the least bat and most minor usage to convey a broadcast through the possibility of holding transmission-provided security [ 31 , 32 , 33 , 34 , 35 ].…”

Section: Related Workmentioning

confidence: 99%

A Secure Long-Range Transceiver for Monitoring and Storing IoT Data in the Cloud: Design and Performance Study

Sarkar

Kavitha

Ali

2022

Sensors

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Due to the high demand for Internet of Things (IoT) and real-time data monitoring and control applications in recent years, the long-range (LoRa) communication protocols leverage technology to provide inter-cluster communications in an effective manner. A secure LoRa system is required to monitor and store IoT data in the cloud. This paper aims to report on the design, analysis, and performance evaluation of a low-cost LoRa transceiver interface unit (433 MHz band) for the real-time monitoring and storing of IoT sensor data in the cloud. We designed and analyzed a low-cost LoRa transceiver interface unit consisting of a LoRa communication module and Wi-Fi module in the laboratory. The system was built (prototype) using radially available hardware devices from the local electronics shops at about USD 150. The transmitter can securely exchange IoT sensor data to the receiver node at about 10 km using a LoRa Wi-Fi module. The receiver node accumulates the sensor data and stores it in the cloud for processing. The performance of the proposed LoRa transceiver was evaluated by field experiments in which two transmitter nodes were deployed on the rooftop of Auckland University of Technology’s Tower building on city campus (New Zealand), and the receiver node was deployed in Liston Park, which was located 10 km away from the University Tower building. The manual incident field tests examined the accuracy of the sensor data, and the system achieved a data accuracy of about 99%. The reaction time of the transmitter nodes was determined by the data accumulation of sensor nodes within 2–20 s. Results show that the system is robust and can be used to effectively link city and suburban park communities.

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Perceived Security Risk Based on Moderating Factors for Blockchain Technology Applications in Cloud Storage to Achieve Secure Healthcare Systems

Cited by 32 publications

References 42 publications

Real Objects Understanding Using 3D Haptic Virtual Reality for E-Learning Education

Real Objects Understanding Using 3D Haptic Virtual Reality for E-Learning Education

Untitled

A Secure Long-Range Transceiver for Monitoring and Storing IoT Data in the Cloud: Design and Performance Study

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