Dynamic Application Partitioning and Task-Scheduling Secure Schemes for Biosensor Healthcare Workload in Mobile Edge Cloud

Lakhan, Abdullah; Li, Jin; Grønli, Tor‐Morten; Sodhro, Ali Hassan; Zardari, Nawaz Ali; Imran, Ali Shariq; Thinnukool, Orawit; Khuwuthyakorn, Pattaraporn

doi:10.3390/electronics10222797

Cited by 25 publications

(12 citation statements)

References 30 publications

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“…We need to modify the formula to H × H s = H t so that the transformation matrix acts on the source point cloud. The modified transformation matrix formula should be as follows (12):…”

Section: R P P Kmentioning

confidence: 99%

“…This approach aims to select correspondences that meet a threshold. Abdullah Lakhan et al [ 12 ] proposed a DAPWTS algorithm framework, which utilizes a secure minimum cut algorithm to partition applications between local nodes and edge nodes. After the application partitioning, an optimal search is performed using a node search algorithm, which also optimizes the structure of point cloud data.…”

Section: Introductionmentioning

confidence: 99%

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Point Cloud Registration Method Based on Geometric Constraint and Transformation Evaluation

Kang,

Geng,

Lin

et al. 2024

Sensors

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Existing point-to-point registration methods often suffer from inaccuracies caused by erroneous matches and noisy correspondences, leading to significant decreases in registration accuracy and efficiency. To address these challenges, this paper presents a new coarse registration method based on a geometric constraint and a matrix evaluation. Compared to traditional registration methods that require a minimum of three correspondences to complete the registration, the proposed method only requires two correspondences to generate a transformation matrix. Additionally, by using geometric constraints to select out high-quality correspondences and evaluating the matrix, we greatly increase the likelihood of finding the optimal result. In the proposed method, we first employ a combination of descriptors and keypoint detection techniques to generate initial correspondences. Next, we utilize the nearest neighbor similarity ratio (NNSR) to select high-quality correspondences. Subsequently, we evaluate the quality of these correspondences using rigidity constraints and salient points’ distance constraints, favoring higher-scoring correspondences. For each selected correspondence pair, we compute the rotation and translation matrix based on their centroids and local reference frames. With the transformation matrices of the source and target point clouds known, we deduce the transformation matrix of the source point cloud in reverse. To identify the best-transformed point cloud, we propose an evaluation method based on the overlap ratio and inliers points. Through parameter experiments, we investigate the performance of the proposed method under various parameter settings. By conducting comparative experiments, we verified that the proposed method’s geometric constraints, evaluation methods, and transformation matrix computation consistently outperformed other methods in terms of root mean square error (RMSE) values. Additionally, we validated that our chosen combination for generating initial correspondences outperforms other descriptor and keypoint detection combinations in terms of the registration result accuracy. Furthermore, we compared our method with several feature-matching registration methods, and the results demonstrate the superior accuracy of our approach. Ultimately, by testing the proposed method on various types of point cloud datasets, we convincingly established its effectiveness. Based on the evaluation and selection of correspondences and the registration result’s quality, our proposed method offers a solution with fewer iterations and higher accuracy.

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“…We need to modify the formula to H × H s = H t so that the transformation matrix acts on the source point cloud. The modified transformation matrix formula should be as follows (12):…”

Section: R P P Kmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Point Cloud Registration Method Based on Geometric Constraint and Transformation Evaluation

Kang,

Geng,

Lin

et al. 2024

Sensors

View full text Add to dashboard Cite

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“…Unfortunately, the limited bandwidth and broadcast nature of wireless communications render it cumbersome in the provision of privacy and security features such as authentication, confidentiality and integrity (Khadem et al, 2021). As such, these networks are dogged by attacks and threats such as traffic analysis, MitM, DDoS, eavesdropping, DoS and jamming (Lakhan et al, 2021; Tanveer et al, 2022). In addition, how to successfully authenticate identities of the communicating parties before the establishment of a secure channel to uphold integrity and confidentiality during message exchanges is still an open challenge (Zhang et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Artificial neural network and symmetric key cryptography based verification protocol for 5G enabled Internet of Things

Nyangaresi¹,

Ahmad

Alkhayyat

et al. 2022

Expert Systems

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“…They are widely used for prevention, medication, rehabilitation, etc. [2][3][4][5][6][7][8][9]. They also impact healthcare services in hospitals, care centres and emergency services [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Mobile health application for Thai women: investigation and model

Kongjit

Nimmolrat

Khamaksorn

2022

BMC Med Inform Decis Mak

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Background Women’s mobile health (m-health) applications are currently widely used for health education, medication, prevention of illness, etcetera. However, women are extremely sensitive to their design. While the number of m-health applications for women is increasing, many are of poor quality and have development issues. Objective This paper aims to develop and evaluate an m-health application for Thai women based on a user-centred design (UCD). Current women’s m-health applications were investigated to identify any lack of development in usability, functionality and graphical user interface. The results were evaluated and used to create criteria for the trial of a prototype application. Methods UCD methodology was used to design a graphical user interface, analyse the application’s functionality, and enhance its usability. Data from thirty female end-users were collected and maintained locally, and thirteen information technology (IT) experts provided feedback on the prototype trial. Interviews and questionnaires were used to gather user data and identify problems. Results The average scores of the evaluation by the end-users (n = 30) and IT experts (n = 13) were compared using a t-test statistical analysis. For the first version, the end-users gave higher usability scores (average = 4.440), with no statistical significance and a P value of 0.05. In comparison, lower scores for functionality were given by the IT experts (average = 4.034), with no statistical significance and a P value of 0.05. For the second version, the average scores from the end-users were higher than those from the IT experts. The highest score was related to usability (average = 4.494), with no statistical significance and a P value of 0.05. The lowest score was for the user interface from the group of IT experts (average = 4.084), with no statistical significance and a P value of 0.05. Conclusion A UCD was utilised to construct a process taxonomy to understand, analyse, design and develop an application suitable for Thai women. It was found from an evaluation of the currently-available women’s m-health applications that usability is their main weakness; therefore, this aspect needed to be prioritised in the new design. According to the results, IT experts’ perspective of the development of an m-health application was different from that of end-users. Hence, it was evident that both end-users and IT experts needed to be involved in helping developers to analyse, prioritise and establish a strategy for developing an m-health application, particularly one for women’s health. This would give researchers an in-depth understanding of the end-users’ expectations.

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Dynamic Application Partitioning and Task-Scheduling Secure Schemes for Biosensor Healthcare Workload in Mobile Edge Cloud

Cited by 25 publications

References 30 publications

Point Cloud Registration Method Based on Geometric Constraint and Transformation Evaluation

Point Cloud Registration Method Based on Geometric Constraint and Transformation Evaluation

Artificial neural network and symmetric key cryptography based verification protocol for 5G enabled Internet of Things

Mobile health application for Thai women: investigation and model

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