ABSTRACT
The continuous increase in COVID-19 positive cases in the Philippines might further weaken the local healthcare system. As such, an efficient system must be implemented to further improve the immunization efforts of the country. In this paper, a contactless digital electronic device is proposed to assess the vaccine and booster brand compatibility. Using Logisim 2.7.1, the logic diagrams were designed and simulated with the help of truth tables and Boolean functions. Moreover, the finalized logic circuit design was converted into its equivalent complementary metal-oxide semiconductor (CMOS) and stick diagrams to help contextualize how the integrated circuits will be designed. Results have shown that the proposed device was able to accept three inputs of the top three COVID-19 vaccine brands (Sinovac, AstraZeneca, and Pfizer) and assess the compatibility of heterologous vaccinations. With the successful results of the circuit, it can be concluded that this low-power device can be used to manufacture a physical prototype for use in booster vaccination sites. © 2022 IEEE.
ABSTRACT
Ventilators we are available with have several drawbacks such as difficult to port, expensive and meant to be operated by professionals which create hardness in fighting with medical care. Thus, it creates suffering for people in the pandemic like COVID19. So, it is required to develop a ventilator that can be affordable, easy to port and install. We aimed to design a IoT based ventilator system using various electronic devices such as microcontroller and sensors that could monitor patient's body status. People suffering from COVID19 or any lung disease find difficulty in breathing so in such condition of emergency this smart ventilator system can be used. Ambu bag is used to provide certain volume of air that is pressed by using motor mechanism. A portable low-cost ventilator with computerized controlling and feedback system is installed. Ventilator designed can be connected to an interface for smart functioning. This paper provides us with different methods to monitor the patient's health condition by measurement of pressure, level of breathing to know whether the condition is healthy or unhealthy. The designing and developing of low-cost portable ventilator deliver breaths to patients when Ambu bag is compressed by using a piston connected to servo motor whose speed can be varied. Input of the designed system is patient's heart beat and breathing rate and the volume of oxygen provided to patient's lung with required beathing rate is the output of the system. PID (proportional Integral Derivative) and Full state feedback H2 controllers are used for the performance analysis of the system. Result of this review paper is found that a low-cost ventilator is developed removing all the possible shortcomings of existing conventional ventilator. Ventilator designed is portable and smart by using Arduino, servo motor and ambu bag preferred for emergency uses and available for clinical application. © 2023 IEEE.
ABSTRACT
Some policies implemented during the pandemic extended the time that students spend on electronic devices, increasing the risk of physical and eye strain. However, the role of different environments on eye strain recovery has not been determined. We recruited 20 undergraduate students (10 males and 10 females) from a university in eastern China and explored the restoration effects of their eye strain in different types of spaces (wayside greenspace, a playground, a square, and woodland) on campus through scale measurements. The results showed that the eye strain of the students accumulated by 15 min of e-learning was significantly relieved after 10 min of greenspace exposure compared to the indoor environment, and the recovery effect varied depending on the type of landscape. The effect of eye strain relief was found to be positively correlated with temperature, wind speed, visible sky ratio, canopy density, tree density, and solar radiation intensity, while it was negatively correlated with relative humidity. These findings enrich the research on the restoration benefits of greenspaces and provide a basis for predicting the effect of different environments on the relief of eye strain. © 2022 by the authors.
ABSTRACT
Several nations have implemented health protocols like maintaining a particular measure of distance from each other and use of face masks when going out in public, in an effort to stop or at least reduce the spread of Covid-19. However, manually checking whether each person have put on a mask or not is a tiring job, and is possible only if there is a particular person assigned specially for that. This paves way for the need of an electronic device or a machine that would identify whether a person has worn mask or not. Thus, this research proposes a face mask detection system using a machine learning algorithm known as Support Vector Machine (SVM). After creating and preprocessing the dataset, training the model, and evaluating the final model, an accuracy of 98% has been obtained. The model can further be developed and used in real time scenarios to detect faces without a mask and pass those faces separately into a neural network with the help of CNN to easily find out his/her identity, and punish accordingly. © 2023 IEEE.
ABSTRACT
Electronic waste (E-wastes) includes obsolete electrical or electronic devices. With the expansion of telecommunications from the COVID-19 pandemic and the advancement of technology, it is expected that by 2025 the weight of this waste will increase to 4.3 billion tons per year. In addition to precious metals, E-waste contains hazardous substances such as mercury, lead, cadmium, barium, and lithium. Therefore, managing how to recycle them through healthy environmental processes is essential. In this paper, the removal of the CD-ROM cover with the help of the proposed device of Marx is investigated. The Marx generator is designed and manufactured with an input voltage of 50 volts, an output voltage of about 370 volts, and a pulse power of 24.5 J. The results indicate the possibility of short-term separation of the CD-ROM coating with the help of the proposed generator. © 2022 IEEE.
ABSTRACT
With the outbreak of the COVID-19, remote diagnosis, patient monitoring, collection, and transmission of data from electronic devices is rapidly taking share in the health sector. These devices are however limited on resources like energy, memory and processing power. Consequently, it is highly relevant to investigate minimizing the data, keeping intact the information content. The objective of this study is to thus observe the impact of pixel, intensity, & temporal resolution on automated scoring of LUS data. First, 448 videos from 20 patients were normalized to a common pixel resolution, i.e., the largest found over the dataset (841 pixels/cm2). Next, pixel and intensity resolution were further reduced by down-sampling factor of 2,3, and 4, and by quantization factor of 2,4, and 8 respectively. Furthermore, number of frames were down-sampled as a function of time by factor of 1 to 10 with step-size of 1. Resampled, quantized, and temporally reduced videos were evaluated using the DL algorithm (doi: 10.1109/TMI.2020.2994459) and frame, video, and prognostic-level results were obtained. It was found that no significant change in the prognostic results is observed when the data is reduced by 32 times to its original size and by 10 times to the original number of frames. © 2022 Acoustical Society of America.
ABSTRACT
The COVID-19 pandemic and the current shortage of integrated circuits has highlighted that electronic components (chips) constitute the basis of our information society. However, chips and electronic systems are not static commodities, as they greatly evolve in terms of functionality and performance. It is not possible to sustain future developments by simply using the available electronics. Electronic engineers are specifically trained professionals who will ensure this continuous technological evolution by designing and optimizing electronic devices, circuits, and systems for tomorrow's applications. Unfortunately, teenagers seem to be losing interest in this field and a more serious chip shortage may happen which could be caused by the basic shortage of next-generation electronic engineers. It seems therefore quite important to revitalize the perception of this discipline in the imagination of young people, to inspire new talents at a time when chips and electronic systems are entering almost all areas of human life and new job opportunities are opening up. To this end, a key factor could be the realization of a motivating communication campaign for school students and their families, in which public and private stakeholders together with universities and professional associations like the IEEE act in a structured and coordinated way. © 2001-2012 IEEE.
ABSTRACT
Currently, a number of wearable electronic devices available on the market can monitor potential hazards. However, previous research and development of these devices are too focused upon assorted functions rather than the actual performance of tracking danger, making this crucial function for humans waiting for improvement. Herein, we proposed integrating techniques of sensor data analysis and anomalous sound recognition and designing a safety and health system for wearable devices named Danger Tracker. The physiological data collected by the sensor will be sent to a server and eventually stored in a database. Data transmitted every three minutes will be sent immediately in case of an emergency health condition, after which alerts will be sent to users and their respective emergency contacts. Taking into consideration emergencies or threats to life are often accompanied by abnormal sounds, the microphone in a wearable device will, when trusted, collect audio information from the environment, including calls, moans, and threats that contain preset words. The device combines blood pressure and heart rate data in order to determine what the user encounters and will immediately notify the preset contact. Through the timely handling of emergencies, the system is able to ensure the safety of various groups of individuals. If the recipient of the health information is modified to a medical institution, timely feedback of abnormal conditions will significantly reduce the pressure of medical care and improve the overall efficiency of the hospitals during the current COVID-19 pandemic. © VDE VERLAG GMBH · Berlin · Offenbach.
ABSTRACT
Online learning played an increasingly important role in education. While the COVID-19 pandemic made institutions shift classroom learning to online learning. Online learning caused various problems that affect the physical and mental health problems of students. They needed to be confined indoors and sitting in front of electronic devices resulting in stress, depression, or fatigue. Certainly, COVID-19 was a huge threat to the health of students so it causes students to suffer physical and mental health problems significantly. This research was designed as quantitative data collected using online questionnaires from 450 students aged 15-26 using exploratory factor analysis were conducted to identify factors for the impact of health problems during online learning among Thai students during COVID-19. Therefore, this research aims to study the impact of the study during the outbreak of COVID-19 and examine the impact of physical and mental health problems. It also helps to improve student learning efficiency and for the benefit of teachers in adapting teaching and learning to the situation as well as avoiding potential future health risks. © 2022 IEEE.
ABSTRACT
In today's world, life without technology is not possible. Continuous advancement in patient health monitoring techniques, medical equipment's or machines and other enhancing technologies is ongoing as per recent trends in specifically healthcare sector in order to reduce human efforts. Taking into consideration the serious nature of the above aforementioned problem, it is necessary to make some major improvements in the communication devices and systems with application-based technology in order to enhance their performance thereby saving medical costs and achieve other major advantages. The principal objective of this paper is to provide a system for remote and secure monitoring of healthcare information of patient suffering from virus and utilizing a mobile device as per the patient requirements. In this paper, a proposed model measure the temperature of the body, respiratory system especially lung sound and breathing activity, which are the main source of symptoms to understand the actual health condition of a person. And data sensed by the IoT sensor device used for measuring the real-time data body temperature, lung sounds, respiratory data, pulse rate and heartbeat. © 2021 IEEE.
ABSTRACT
E-commerce is an industry that has an important influence on businesses in building business strategies. Vietnamese businesses are now promoting the development of e-commerce transactions to create a new way of doing business and attracting more customers. The e-commerce market brings a lot of benefits to businesses as well as convenience to customers. However, the market of this industry has fierce competition not only between domestic competitors, but also foreign competitors. In particular, during the raging epidemic of acute respiratory infections of COVID-19, this competition is increasing. Knowing that, this study focuses on exploring the influential factors such as product value, perceived risk, website quality, trust and perceived usefulness that affect customers’ online purchase intention. This study combines both qualitative and quantitative research methods. The survey has a scale of 481 people;the survey subjects are consumers in South Vietnam. After collecting the feedback samples, the data is analyzed using SPSS software. The results of the study show that product value, website quality, trust and perceived usefulness positively affect the online purchase intention. There is also a perceived risk factor that negatively affects online purchase intention. The study also showed that the three factors that have the greatest impact on online purchase intention are arranged in the following order: perceived usefulness, trust, and website quality. As a result of the study, a number of governance implications have been proposed to suit businesses in the context of the ongoing COVID-19 pandemic. © 2022, Springer Nature Switzerland AG.
ABSTRACT
Novel COVID19 virus, which was declared as a pandemic by WHO, gave rise to a new work and education culture. Work from Home, which was given to employees by employers for a handful of days in a year, that too after request by employee, was given for weeks at stretch. It was, and even is considered, the work from home culture cannot replace the in-office culture. The employee's productivity levels were required to be at 100%, since the whole workforce was working from home, no employee could compensate for low performers. Since the virus spread, schools and colleges are shut for months. Study could not be at halt for this long time. So, schools and colleges came up with the concept of online classes. The online classes were a great idea to match footsteps with technology, but insincere students showed up by logging in, and leaving the device aside. Even if webcam were switched on, faculty cannot monitor 50 students. Work proposed aims to solve the problem stated. Login systems work like once in a session attendance taker. Work is not just attendance by facial recognition, like running the recognizer tool once before the session or at the start of session. It takes shots at quick intervals and verifies that the candidate is presence. Model proposed keeps a check whether the attendees are using electronic devices during the session, the direction they are looking at and are they talking with someone. The final aim is at getting an intuitive conclusion about attention of attendee in the session. © 2021 IEEE.