Infusion Auxiliary Service System Based on ZigBee Wireless Network

Zhang, Yonghong; Shen, Xinfeng; Yang, Qing; Qian, Chenyin; Liu, Guangchi

doi:10.1109/access.2018.2809676

Cited by 4 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Trust analysis is also introduced in cyber-physical systems (CPS), e.g., wireless sensor networks [88,89,90,91,92,93,94,95,96,97] and vehicular networks [98,99,100,101]. For example, a trust based framework is proposed to secure data aggregation in wireless sensor networks [102], which evaluates the trustworthiness of each sensor node by the Kullback-Leibler (KL) distance to identify the compromised nodes through an unsupervised learning technique.…”

Section: Trust In Cyber-physical and Edge Computing Systemsmentioning

confidence: 99%

NeuralWalk: Trust Assessment in Online Social Networks with Neural Networks

Liu¹,

Li²,

Yang

2019

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications

Self Cite

View full text Add to dashboard Cite

Assessing trust in online social networks (OSNs) is critical for many applications such as online marketing and network security. It is a challenging problem, however, due to the difficulties of handling complex social network topologies and conducting accurate assessment in these topologies. To address these challenges, we model trust by proposing the three-valued subjective logic (3VSL) model. 3VSL properly models the uncertainties that exist in trust, thus is able to compute trust in arbitrary graphs. We theoretically prove the capability of 3VSL based on the Dirichlet-Categorical (DC) distribution and its correctness in arbitrary OSN topologies. Based on the 3VSL model, we further design the AssessTrust (AT) algorithm to accurately compute the trust between any two users connected in an OSN. We validate 3VSL against two real-world OSN datasets: Advogato and Pretty Good Privacy (PGP). Experimental results indicate that 3VSL can accurately model the trust between any pair of indirectly connected users in the Advogato and PGP.

show abstract

Section: Trust In Cyber-physical and Edge Computing Systemsmentioning

confidence: 99%

NeuralWalk: Trust Assessment in Online Social Networks with Neural Networks

Liu¹,

Li²,

Yang

2019

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications

Self Cite

View full text Add to dashboard Cite

show abstract

“…Recently, trust was introduced in the concept of social cloud [20,21,22,23,24,25,26,27,28]. Trust is also introduced in cyber-physical and edge computing systems, e.g., wireless sensor networks [29,30,31,32,33,34,35,36,37,38] and vehicular networks [39,40,41,42]. Another important domain in which trust analysis is widely applied is Sybil defense and spam detection [43,3,44,16,45].…”

Section: Related Workmentioning

confidence: 99%

A Probabilistic Graph Model for Trust Opinion Estimation in Online Social Networks

Liu,

Yang

2019

Preprint

Self Cite

View full text Add to dashboard Cite

Trust assessment plays a key role in many online applications, such as online money lending, product reviewing and active friending. Trust models usually employ a group of parameters to represent the trust relation between a trustor-trustee pair. These parameters are originated from the trustors bias and opinion on the trustee. Naturally, these parameters can be regarded as a vector. To address this problem, we propose a framework to accurately convert the single values to the parameters needed by 3VSL. The framework firstly employs a probabilistic graph model (PGM) to derive the trustors opinion and bias to his rating on the trustee.

show abstract

Intravenous Infusion Monitoring and Flow Control System Equipped with Automatic Air Bubble Detection

Aini

Setiawan

Pramudijanto

2022

JBBBE

View full text Add to dashboard Cite

In clinical care, intravenous infusion is one of the best ways for continuous drug delivery or clinical therapy. In most medical institutions, the workload of nurses and patient care increases due to fluctuating populations. This causes an increase in the work intensity of medical personnel. If the infusion is not monitored properly, it will lead to a medical accident. The problem is also affected due to the lack of economical and automatic infusion monitoring devices. In this case, it is proposed to design an automatic infusion control instrumentation that can detect the presence of air bubbles in the infusion to prevent air bubbles from entering the body and detect the rate of infusion flow. The proposed device is equipped with Thin Film Transistor technology (TFT) which functions to display and enter information about the condition of the intravenous infusion and a buzzer as a reminder alarm when an undesirable condition occurs. System accuracy and precision are verified for all flow rates. The results of the drops per minute test show accuracy with an error percentage of less than 2% within 1 minute. The device can detect the presence of air bubbles at high speed for response times below 20 ms and reduce the possibility of air bubbles escaping in the infusion hose according to the system test results that have been carried out. In the evaluation using target 20 drops per minute the infusion flow rate changes stably according to the angular movement of the servo motor. So it is hoped that the proposed system can help officers to monitor the condition of infusion and reduce the work intensity of medical workers.

show abstract

Infusion Auxiliary Service System Based on ZigBee Wireless Network

Cited by 4 publications

References 20 publications

NeuralWalk: Trust Assessment in Online Social Networks with Neural Networks

NeuralWalk: Trust Assessment in Online Social Networks with Neural Networks

A Probabilistic Graph Model for Trust Opinion Estimation in Online Social Networks

Intravenous Infusion Monitoring and Flow Control System Equipped with Automatic Air Bubble Detection

Contact Info

Product

Resources

About