Comparative evaluation of firefly algorithm and MC-GPSO for optimal RFID Network Planning

Hasnan, Khalid; Elewe, Adel Muhsin; Nawawi, Azli; Tahir, Suhaidah

doi:10.1109/icitech.2017.8079927

Cited by 8 publications

(3 citation statements)

References 7 publications

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“…RSSI min denotes a minimum RSSI value to ensure distance accuracy and δ is a path-loss coefficient according to the Wi-Fi signal environment. In general, the value of δ in an indoor environment is set to 3-5 [22]. Additionally, the Wi-Fi signal reception environment is indoors with many obstacles; therefore, the path-loss coefficient (δ) is set to 4.…”

Section: Step 1: Calculate Similaritymentioning

confidence: 99%

IntelliTrace: Intelligent Contact Tracing Method Based on Transmission Characteristics of Infectious Disease

Yang,

Kim,

Jeong

et al. 2023

ASI

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The COVID-19 pandemic has underscored the necessity for rapid contact tracing as a means to effectively suppress the spread of infectious diseases. Existing contact tracing methods leverage location-based or distance-based detection to identify contact with a confirmed patient. Existing contact tracing methods have encountered challenges in practical applications, stemming from the tendency to classify even casual contacts, which carry a low risk of infection, as close contacts. This issue arises because the transmission characteristics of the virus have not been fully considered. This study addresses the above problem by proposing IntelliTrace, an intelligent method that introduces methodological innovations prioritizing shared environmental context over physical proximity. This approach more accurately assesses potential transmission events by considering the transmission characteristics of the virus, with a special focus on COVID-19. In this study, we present space-based indoor Wi-Fi contact tracing using machine learning for indoor environments and trajectory-based outdoor GPS contact tracing for outdoor environments. For an indoor environment, a contact is detected based on whether users are in the same space with the confirmed case. For an outdoor environment, we detect contact through judgments based on the companion statuses of people, such as the same movements in their trajectories. The datasets obtained from 28 participants who installed the smartphone application during a one-month experiment in a campus space were utilized to train and validate the performance of the proposed exposure-detection method. As a result of the experiment, IntelliTrace exhibited an F1 score performance of 86.84% in indoor environments and 94.94% in outdoor environments.

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Section: Step 1: Calculate Similaritymentioning

confidence: 99%

IntelliTrace: Intelligent Contact Tracing Method Based on Transmission Characteristics of Infectious Disease

Yang,

Kim,

Jeong

et al. 2023

ASI

View full text Add to dashboard Cite

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“…This section presents the evolutionary algorithm used to solve the multi-objective functions based on correlations between actual tag positions and RFID reader propagation rate. A modified cuckoo search algorithm is correlated with the gradient of the objective function for this task [26,27]. GBCS has proven to be a strong candidate algorithm for solving difficult optimization problems in large-scale areas.…”

Section: Gradient-based Cuckoo Search (Gbcs)mentioning

confidence: 99%

Monitoring Large-Scale Rail Transit Systems Based on an Analytic Hierarchy Process/Gradient-Based Cuckoo Search Algorithm (GBCS) Scheme

et al. 2020

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Condition monitoring is used as a tool for maintenance management and function as input to decision support. Thus the key parameters in preventing severe damage to railway assets can be determined by automatic real-time monitoring. The technique of radio-frequency identification (RFID) is increasingly applied for the automatic real-time monitoring and control of railway assets, which employs radio waves without the use of physical contact. In this work, a 243-km 2 area of Kuala Lumpur was selected. Because of its large size, determining the locations in which to install the RFID readers for monitoring the bogie components in the Kuala Lumpur railway system is a very complex task. The task involved three challenges: first, finding an optimal evolutionary method for railway network planning in order to deploy the RFID system in a large-area; second, identifying the large area that involved functional features; third, determining which station or stations should be given priority in applying the RFID system to achieve the most effective monitoring of the trains. The first challenge was solved by using a gradientbase cuckoo search algorithm for RFID system deployment. The second challenge was solved by determining all necessary information using geographic information system (GIS) resources. Because of the huge volume of data collected from GIS, it was found that the best method for eliminating data was to develop a new clustering model to separate the useful from the unuseful data and to identify the most suitable stations. Finally, the data set was reduced by developing a specific filter, and the information collected was tested by an analytic hierarchy process as a technique to determine the best stations for system monitoring and control. The results showed the success of the proposed method in solving the significant challenge of large-scale area conditions correlated with multi-objective RFID functions. The method provides high reliability in working with complex and dynamic data. Keywords Geographic information system (GIS) Á Analytic hierarchy process (AHP) Á Radio-frequency identification (RFID) Á Gradient-based cuckoo search algorithm (GBCS) Á Condition monitoring Á Bogie system Á Railway maintenance

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“…In particular, this project observed the functional areas in a hospital organization and detected entities based on function zones in the hospital area. The system applied the methodology of a nature-inspired algorithm to find the RFID reader positions to cover a solution that maximized the number of tags with the lowest overlapping RFID reader propagation areas [13,14]. The results of the nature-inspired algorithm were correlated with the tag positions in the functional hospital zone to acquire accurate information for five entities.…”

Section: Introductionmentioning

confidence: 99%

Real-time monitoring of clinic risks using an integrated RFID-FA scheme

Hussein

Fayyadh

2021

Bulletin EEI

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Patient safety is a global public health concern because of increases in the number of mistreatments due to the improper identification of patients or the improper administration of drugs. Risk in clinic management refers to the systematic process used to specify, control, and analyze organizational risks. The present article developed a new method to detect different objects automatically in real-time by monitoring and controlling the hospital workflow using radio frequency identification (RFID). The system methodology starts with identifying the functional area by detecting the room optical characters. Then clustering and matching the symmetrical functional area using histogram matching technique. For the monitoring process, the radio frequency network planning RNP has been used. Density-based scan algorithm (DBSCAN) was used for clustering and extracting the area, then all gathered data transferred to the firefly algorithm to track drug distribution and specify doctor and nurse locations. The simulation results observe real-time tracking and identification of people and drugs based on hospital zone designs. The results present 87% tag real-time coverage for managing and monitoring human inside the hospital. The effectiveness of this system shows that it was useful in monitoring clinic operations and effective for a hospital network solution.

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Comparative evaluation of firefly algorithm and MC-GPSO for optimal RFID Network Planning

Cited by 8 publications

References 7 publications

IntelliTrace: Intelligent Contact Tracing Method Based on Transmission Characteristics of Infectious Disease

IntelliTrace: Intelligent Contact Tracing Method Based on Transmission Characteristics of Infectious Disease

Monitoring Large-Scale Rail Transit Systems Based on an Analytic Hierarchy Process/Gradient-Based Cuckoo Search Algorithm (GBCS) Scheme

Real-time monitoring of clinic risks using an integrated RFID-FA scheme

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