Remote Academic Platforms in Times of a Pandemic

García, Nathalia Ospina; Velásquez, María Fernanda Díaz; Romero, Carlos Andrés Tavera; Monedero, Jesús Hamilton Ortiz; Khalaf, Osamah Ibrahim

doi:10.3991/ijet.v16i21.25377

Cited by 59 publications

(16 citation statements)

References 28 publications

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“…e sensors used in the system can be improved, and we can measure several health parameters when additional sensors are added. For the system's security, new algorithms may be integrated with the whole system [24][25][26][27][28].…”

Section: Discussionmentioning

confidence: 99%

IoT-Based Health Monitoring System Development and Analysis

Khan

Alanazi

Albraikan

et al. 2022

Security and Communication Networks

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This paper presents the design and implementation of a health monitoring system using the Internet of Things (IoT). In present days, with the expansion of innovations, specialists are always looking for innovative electronic devices for easier identification of irregularities within the body. IoT-enabled technologies enable the possibility of developing novel and noninvasive clinical support systems. This paper presents a health care monitoring system. In particular, COVID-19 patients, high blood pressure patients, diabetic patients, etc., in a rural area in a developing country, such as Bangladesh, do not have instant access to health or emergency clinics for testing. Buying individual instruments or continuous visitation to hospitals is also expensive for the regular population. The system we developed will measure a patient’s body temperature, heartbeat, and oxygen saturation (SpO2) levels in the blood and send the data to a mobile application using Bluetooth. The mobile application was created via the Massachusetts Institute of Technology (MIT) inventor app and will receive the data from the device over Bluetooth. The physical, logical, and application layers are the three layers that make up the system. The logical layer processes the data collected by the sensors in the physical layer. Media access management and intersensor communications are handled by the logical layer. Depending on the logical layer’s processed data, the application layer makes decisions. The main objective is to increase affordability for regular people. Besides sustainability in the context of finance, patients will have easy access to personal healthcare. This paper presents an IoT-based system that will simplify the utilization of an otherwise complicated medical device at a minimum cost while sitting at home. A 95 percent confidence interval with a 5 percent maximum relative error is applied to all measurements related to determining the patient’s health parameters. The use of these devices as support tools by the general public in a certain situation could have a big impact on their own lives.

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Section: Discussionmentioning

confidence: 99%

IoT-Based Health Monitoring System Development and Analysis

Khan

Alanazi

Albraikan

et al. 2022

Security and Communication Networks

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“…Reasonably plan urban green road resources, use the integration of big data technology to increase storage capacity and management capabilities, and create effective information management and distribution for the implementation of applications through a greenway to accelerate the application of life information, as an Internet connection, by Green city roads, as of now, will be able to access all types of data, mobile phones, service requests, customer data services, monitoring, sensor video recording, videos, verification of trip data on buses, and fill in multichannel information for relevant site information. Cleanliness analysis and research on issues related to urban greenway projects [11].…”

Section: Theories and Methods Related To Urbanmentioning

confidence: 99%

Application of Big Data Technology in Urban Greenway Design

Liu

2022

Security and Communication Networks

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With the continuous advancement of big data technology, there are many drawbacks in the past urban greenway design. The environment, population distribution, geographic location, spatial distribution, and other factors affect the greenway design. At the same time, a large amount of historical data is mixed. The systematic arrangement has indirectly led to the fact that urban greenway design does not know how to analyze and use past data. There is always a waste of various resources. While greenways bring many positive impacts, they also have negative impacts: it is difficult for the wild animals in the greenways to move along the predetermined passages, and most animals spread in the greenways in a disorderly manner, so that the greenways accelerate the invasion of alien species and diseases to a certain extent. Using big data technology can enable us to allocate resources more reasonably and accurately. The purpose of this article is to study the use of big data technology to rationalize our urban greenway design. This paper adopts a calculation method that closely combines quantitative and qualitative features to study its features. The local feature analysis algorithm can extract and analyze urban spatial data. Spatial remote sensing image technology can deepen our knowledge and understanding of urban spatial characteristics, conduct data mining, provide all the information of urban space, analyze the content and type, and classify it; then filter and integrate the big data in the greenway planning and design information. The information about greenway planning and design in the big data of Dao Design is digitized. This information can be composed of traditional data and dynamic data. Finally, after scientific analysis, the data is subjected to scenario assumptions, modeling, and output, we applied various analysis results to actual operations, and we obtain the final inspection. In fact, this is also going out from actual work, summing up the experience we have done, and again starting from the perspective of specific practice. Compared with our traditional field investigation before, with the guidance of big data analysis, the experimental results of this article show that under the use of big data technology, the wrong resolution of the SegNet semantic classification algorithm for buildings is 9.6%, and the others are 10.9%, 16%, 20%, etc., which are all greater than 9.6%, so the segNet model has a higher image acquisition accuracy. It can solve the problems caused by the lag of the past questionnaires and the small sample size, improve the accuracy of data extraction through algorithms, find some features and problems of greenway design, and complete the urban greening rate through computer algorithms. Calculation and analysis can better provide the most reasonable method for greenway design site selection and route selection.

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“…The color imagery of cultural and creative products reflects the users' psychological perceptions of the products, which are often expressed with the help of language and have ambiguity and uncertainty. The triangular fuzzy number helps to solve the problem that quantitative numbers cannot fully express the evaluation opinion, so this paper introduces the triangular fuzzy number to quantify the users' color imagery preference [ 22 – 24 ].…”

Section: Fuzzy Quantification Of Color Imagery Preferencementioning

confidence: 99%

Fuzzy Logic-Based Machine Learning Algorithm for Cultural and Creative Product Design

Lan

2022

Computational Intelligence and Neuroscience

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In order to effectively assist industrial designers in the color scheme design of cultural and creative products and output color schemes that meet users’ image preferences, an interactive color scheme design method for cultural and creative products based on triangular fuzzy number is proposed. Through the group consistency decision based on triangular fuzzy number, an interactive genetic evolution of the color scheme population of cultural and creative products is performed to generate color schemes that satisfy the group consistency imagery preference and satisfaction, and the final selection scheme is calculated by color beauty. This paper verifies that the method can effectively integrate the imagery preferences of group users and help industrial designers to better design color schemes for cultural and creative products through the results of multiuser decision consistency.

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Remote Academic Platforms in Times of a Pandemic

Cited by 59 publications

References 28 publications

IoT-Based Health Monitoring System Development and Analysis

IoT-Based Health Monitoring System Development and Analysis

Application of Big Data Technology in Urban Greenway Design

Fuzzy Logic-Based Machine Learning Algorithm for Cultural and Creative Product Design

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