A Moving Shadow Elimination Method Based on Fusion of Multi-Feature

Zhang, Hongrui; Qu, Shaocheng; Li, Huan; Luo, Jing; Xu, Wenjun

doi:10.1109/access.2020.2984680

Cited by 72 publications

(27 citation statements)

References 31 publications

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“…Among them, for blood glucose records, patients can choose 8 time periods, including early morning, before breakfast, and after breakfast. In exercise recording, patients can choose five types of activities such as walking/fast running, square dancing/gymnastics to record exercise time, and exercise time, respectively [ 34 ]. In the diet record, it is also possible to record the consumption of foods such as cereals and fruits in the breakfast, lunch, and dinner or upload photos to be identified by the computer.…”

Section: Outpatient Treatment Experiments Of Type 2 Diabetesmentioning

confidence: 99%

Treatment Effect of Type 2 Diabetes Patients in Outpatient Department Based on Blockchain Electronic Mobile Medical App

Liu

Sun

2021

Journal of Healthcare Engineering

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As the pace of people’s lives accelerates, there are more and more diabetic patients. This research mainly explores the treatment effect of type 2 diabetic patients based on blockchain electronic mobile medical app. Considering that it is more realistic to adopt an off-chain storage solution, the blockchain-based medical data sharing platform in this study adopts an off-chain storage solution. Only key information is stored in the blockchain network, and all medical data will be in the cloud space. For storage, cloud storage uses Aliyun’s OSS storage service, which can be expanded infinitely. The cloud operation module is responsible for all operations that interact with cloud storage. The chain code can call the cloud operation module to upload the user’s encrypted medical data and user ID to Alibaba Cloud’s OSS. The chain code will return the storage address of the medical data and the authorized access address is sent to the blockchain network for consensus on the chain. The message processing module provides information processing functions such as chat information processing, APP use reminders, and health tips. The indicator recording module includes indicator recording functions including 6 indicators of blood sugar, medication, diet, weight, exercise, and sleep. The main function of the indicator analysis module is to display the curve trends of the 6 indicators recorded by the patient in three days, one week, and one month. Comparing the change range of the mean value of glycosylated hemoglobin at the beginning and end of the two groups of patients, it can be found that the change range of glycosylated hemoglobin in the intervention group is −6.04%, while the change range of the control group is only −3.26%. The impact of the mobile medical app designed in this study will indeed be reflected in the patient’s blood sugar control and help patients to better control blood sugar.

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Section: Outpatient Treatment Experiments Of Type 2 Diabetesmentioning

confidence: 99%

Treatment Effect of Type 2 Diabetes Patients in Outpatient Department Based on Blockchain Electronic Mobile Medical App

Liu

Sun

2021

Journal of Healthcare Engineering

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“…As shown in Table 1, in addition to the obstacles with known motion law and unknown motion law, there is also a kind of obstacle whose motion information is partially known; that is, the movement trend of the obstacle is known, but the actual position cannot be determined. ese obstacles can be divided into two categories: one is the obstacle with a known trajectory and moving speed within a certain range [33]; the other is obstacles. e speed of the object is known, but the other direction is unknown.…”

Section: Simulation Analysis Of Multi-uav Path Optimization Inmentioning

confidence: 99%

Virtual Reality Technology of Multi UAVEarthquake Disaster Path Optimization

Wang

Liu

2021

Mathematical Problems in Engineering

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China is a country with frequent earthquake disasters. After the occurrence of earthquake disasters, the key to disaster monitoring and rescue is to quickly obtain images of postdisaster areas. Unmanned aerial vehicle (UAV) path planning is the core of multi-UAV cooperative control. With the increasing popularity of UAVs, people with more complex living environments contact with UAVs more frequently, which also poses a challenge to the overall control of UAVs, making single UAV and even multi-UAV cooperative path planning become a hot research issue in recent years. The complexity of communication between aircraft in three-dimensional flight space and multidegree of freedom navigation makes multi-UAV cooperation more challenging. According to the research results at home and abroad, this paper takes multitarget tracking algorithm, ant colony algorithm, and hybrid particle swarm optimization algorithm as research methods. Based on virtual reality technology, by comparing the advantages and disadvantages of several algorithms, the research model of path optimization is established, and a multitarget detection method based on virtual reality technology is established. Through the analysis and improvement of multitarget tracking algorithm, ant colony algorithm, and hybrid particle swarm optimization algorithm, the path optimization problem of UAV after an earthquake based on virtual reality technology is studied. The results show that, compared with the previous research models, the overall optimization efficiency of UAV route is improved by 15%, which is more practical.

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“…e advantage of the chicken flock optimization algorithm is that multiple groups can greatly reduce the probability of the algorithm searching for the optimal position and reduce the task scheduling time, and there is a competitive relationship between various groups and individuals, which is beneficial to task allocation. For load balancing, improve the quality of service [32]. However, there are three types of individuals in the algorithm: rooster, hen, and chicken.…”

Section: Chicken Flock Optimization Algorithmmentioning

confidence: 99%

Medical Equipment Comprehensive Management System Based on Cloud Computing and Internet of Things

Shang

Zhao

et al. 2021

Journal of Healthcare Engineering

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The continuous progress in modern medicine is not only the level of medical technology, but also various high-tech medical auxiliary equipment. With the rapid development of hospital information construction, medical equipment plays a very important role in the diagnosis, treatment, and prognosis observation of the disease. However, the continuous growth of the types and quantity of medical equipment has caused considerable difficulties in the management of hospital equipment. In order to improve the efficiency of medical equipment management in hospital, based on cloud computing and the Internet of Things, this paper develops a comprehensive management system of medical equipment and uses the improved particle swarm optimization algorithm and chicken swarm algorithm to help the system reasonably achieve dynamic task scheduling. The purpose of this paper is to develop a comprehensive intelligent management system to master the procurement, maintenance, and use of all medical equipment in the hospital, so as to maximize the scientific management of medical equipment in the hospital. Scientific Management. It is very necessary to develop a preventive maintenance plan for medical equipment. From the experimental data, it can be seen that when the system simultaneously accesses 100 simulated users online, the corresponding time for submitting the equipment maintenance application form is 1228 ms, and the accuracy rate is 99.8%. When there are 1000 simulated online users, the corresponding time for submitting the equipment maintenance application form is 5123 ms, and the correct rate is 99.4%. On the whole, the medical equipment management information system has excellent performance in stress testing. It not only predicts the initial performance requirements, but also provides a large amount of data support for equipment management and maintenance.

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A Moving Shadow Elimination Method Based on Fusion of Multi-Feature

Cited by 72 publications

References 31 publications

Treatment Effect of Type 2 Diabetes Patients in Outpatient Department Based on Blockchain Electronic Mobile Medical App

Treatment Effect of Type 2 Diabetes Patients in Outpatient Department Based on Blockchain Electronic Mobile Medical App

Virtual Reality Technology of Multi UAVEarthquake Disaster Path Optimization

Medical Equipment Comprehensive Management System Based on Cloud Computing and Internet of Things

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