The main purpose of this paper is to present and apply a genetic and simulated annealing combined algorithm to solve an optimization problem of Radio Frequency Identification(RFID)network planning in an emergency depa...The main purpose of this paper is to present and apply a genetic and simulated annealing combined algorithm to solve an optimization problem of Radio Frequency Identification(RFID)network planning in an emergency department of a hospital.Accordingly,though genetic algorithm(GA)and simulated annealing(SA)have advantages and disadvantages,but they are also complementary.Hence,the combined algorithm not only takes advantages of the two methods,but also avoids their disadvantages.The simulation results in an emergency department of a hospital present that the proposed method provides minimum total cost and maximum RFID network coverage in a simultaneous way with the efficient use of multi-antenna RFID readers.Besides,the results of comparison of two scenarios of the model with the results of other existing models in the relevant literature show that the proposed model has better outcomes.展开更多
Combination of computer sciences and electronics has resulted in one of the most remarkable technologies of the recent years called internet of things,considered as a challenge in electronic health systems for taking ...Combination of computer sciences and electronics has resulted in one of the most remarkable technologies of the recent years called internet of things,considered as a challenge in electronic health systems for taking care of patients.Internet of things presents a promising paradigm for management of digital identification in the form of service customization.The effect of internet of things on healthcare is still in its preliminary stages and requires a substantial development.Various equipment and services are developed and utilized for health systems by providing different things to establish communication and information provision to users at any conditions or places.In this paper,attempts have been made to detect electrocardiogram(ECG)signal through a wireless simple sensing network of body using internet of things operating based on classification and feature extraction.展开更多
文摘The main purpose of this paper is to present and apply a genetic and simulated annealing combined algorithm to solve an optimization problem of Radio Frequency Identification(RFID)network planning in an emergency department of a hospital.Accordingly,though genetic algorithm(GA)and simulated annealing(SA)have advantages and disadvantages,but they are also complementary.Hence,the combined algorithm not only takes advantages of the two methods,but also avoids their disadvantages.The simulation results in an emergency department of a hospital present that the proposed method provides minimum total cost and maximum RFID network coverage in a simultaneous way with the efficient use of multi-antenna RFID readers.Besides,the results of comparison of two scenarios of the model with the results of other existing models in the relevant literature show that the proposed model has better outcomes.
文摘Combination of computer sciences and electronics has resulted in one of the most remarkable technologies of the recent years called internet of things,considered as a challenge in electronic health systems for taking care of patients.Internet of things presents a promising paradigm for management of digital identification in the form of service customization.The effect of internet of things on healthcare is still in its preliminary stages and requires a substantial development.Various equipment and services are developed and utilized for health systems by providing different things to establish communication and information provision to users at any conditions or places.In this paper,attempts have been made to detect electrocardiogram(ECG)signal through a wireless simple sensing network of body using internet of things operating based on classification and feature extraction.
