Management of an Automatic System to Generate Reports on the Attendance Control of Teachers in a Educational Center

Many countries were affected by the appearance of SARS-COV-2 that was spreading rapidly, causing damage to humanity and causing a global crisis, this generated a generalized quarantine to avoid the physical approaches recommended by the health system, affecting all students in the world, since it was wanted to avoid forming foci of contagion in educational centers, for this reason, some automated systems that are marketed in the markets were applied to combat the pandemic in educational centers, but they are inefficient when registering the work attendance of teachers, causing loss of time in the registration process and causing an agglomeration of people due to the failure in the registration process, in addition to not allowing to manage the reports of the teacher's work attendance. In view of this problem, in this article the management of an automatic system was carried out to generate reports on the attendance control of the teaching staff in the educational center and control the working hours of each teacher to be visualized through a user interface, being able to control the labor discipline of each teacher since all the records will be stored in a database. Through the development of the system, it was observed that the system works effectively since an efficiency of 98.87% was obtained in its operation to control the time of entry and exit of each teacher, being an accepted value since the process is conducted safely. © 2023 International Journal on Recent and Innovation Trends in Computing and Communication. All rights reserved.

Automatic System for Detecting Pathologies in the Respiratory System for the Care of Patients with Bronchial Asthma Visualized by Computerized Radiography

COVID-19 is a disease that directly affects the respiratory tract, being harmful in asthmatic patients because this condition causes a lack of oxygen, even to the extent that it requires external equipment to combat drowning. Likewise, it highlights the importance of maintaining a treatment or therapy correctly to prevent your disease from worsening or being exposed to other diseases, putting your health at risk. The diseases that asthmatic patients can acquire can result from pathologies, which have been growing over the years due to lack of equipment or efficient examinations that generate complete information about respiratory conditions about asthmatic patients, therefore, by developing an advanced system, the chances of detecting pathologies prematurely increase considerably, which is an essential tool today. According to the problem exposed, in this research an automatic system of detection of pathologies in the respiratory system was carried out for the care of the patient with bronchial asthma visualized by computerized radiography, so that any pathology can be detected by means of a premature diagnosis in the respiratory system and the doctor can perform a correct treatment on the asthmatic patient. Through the tests carried out by the system, its performance was accurate and efficient, being suitable to be implemented in various hospitals so that the doctor can treat the disease in time, since the system presented a 98.79% efficiency in the detection of pathologies. © 2023 International Journal on Recent and Innovation Trends in Computing and Communication. All rights reserved.

Development of Mobile Application that Detects Phishing Messages to Decrease the Percentage of Data Theft during the COVID-19 Pandemic

The COVID-19 pandemic has established not only a health emergency, but has generated an emergency in the control of personal data of all those people who make use of technological means, which increased the activity of phishing which consists of the theft of personal data through the circulation of false information through the different social networks, in addition, the circulation with messages related to the cure of this disease only for the theft of data. This research develops a mobile application that detects malicious URLs found within the content of textmessages. The developed application performs an analysis of the URLs according to the database that is updated with each attack detected, performing a blocking of the content and notifies the user of the actions that canbetaken, with this the theft of the personal data of the users is avoided. This application is very useful for all those people who use mobile equipment (mobile) and have no knowledge of these types of attacks, since they are likely to perform the actions that the perpetrators foresee for the obtaining of their personal data, so this application provides a means of security against these types of phishing attacks. © 2022 by the Author(s).

Computer vision syndrome in teachers of a university of the province of Lima

Virtual education has generated consequences at the visual level of people during the coronavirus pandemic since spending more time on the computer, it compromises the eye health of the person causing long-term visual problems, so its research objective is to determine the computer-related ophthalmic syndrome in teachers at a university of the province of Lima. It is a quantitative, non-experimental, descriptive, and cross-sectional study, with a total population of sixty-three teachers who answered a digital survey with socio-demographic data and the Computer Vision Syndrome Questionnaire (CVS-Q) instrument. In the results, we can observe the results of the computerized ophthalmic syndrome in teachers at a university in the province of Lima, where 51 (81%) of the teachers do not present computer vision syndrome, and 12 (19%) present computer vision syndrome. In conclusion, the population conducting virtual education should be educated as well as students about prevention measures for computer ophthalmic syndrome and its consequences.(c) 2022 The Authors. Published by IASE. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Psychological impact of the COVID-19 pandemic on the administrative staff of a hospital in North Lima

The impact due to the coronavirus worldwide has generated in the general population an imbalance in their well-being, especially in mental health, since the degree of vulnerability resulting from the pandemic has been too high, so the objective of the research is to determine the psychological impact of the COVID-19 pandemic on the administrative staff of a hospital center in North Lima. This is a cross-sectional quantitative-descriptive study, with a total population of 150 participants in the study. In the results we observed that 18.4% (n=30) have a high psychological impact, 58.8% (n=80) have a medium psychological impact and 22.8% (n=40) have a low psychological impact. In conclusion, shady medical care should be conducted for the mental health care of the personnel who are working in hospital centers. © 2022 The Authors.

Psychological impact of the COVID-19 pandemic on head of household residents in a marginal population of North Lima

The objective of this research is to determine the psychological impact of the coronavirus pandemic on heads of families residing in a marginal population of North Lima. It is a quantitative study, with a descriptive-cross-sectional and correlational design, with a population of 360 heads of household residents in 4 human settlements in North Lima, where two instruments were used to find the psychological impact and fear regarding COVID-19. In the results, the normality of the distribution of the results of the variables and their dimensions was determined through the Kolmogorov-Smirnov normality test. The results identified that the results of the variables and their components have a non-normal distribution (p<0.05), therefore, nonparametric tests will be used to find relationships between them or with the characteristics of the sample, also it indicates that the female sex shows a close correlation in both applied instruments. In conclusion, strategies for the promotion and prevention of mental health should be sought, so that the population can have the necessary knowledge to develop strategies to protect their mental health. © 2022 The Authors. Published by IASE.

Intelligent Detection of Suspicions of COVID-19 Using X-Ray Imaging

At the beginning of 2020, the World Health Organization declared COVID-19 a pandemic, since in all the countries of the world efforts have been made to stop the rate of infections, with the isolation of the population;Peru was one of the countries with strict isolation, however we are about to experience a third wave;on May 2021, Peru has a fatality rate of 3.55%, it is the 5th country with the most deaths in Latin America and the Caribbean and 15th worldwide. A rapid identification of COVID-19 cases is necessary, for this reason an algorithm has been developed for the identification of CODID-19 in addition to bacterial and viral pneumonia through x-ray images;also, the development of a graphical interface, which helps to quickly diagnose suspected COVID-19 cases. The results shown are optimistic since a rate of approximately 80% has been achieved, however, work continues to further improve the efficiency of the system. © 2021 IEEE.

YANA, Virtual Assistant to Support Home Office

Since the last months of 2019 with the arrival of COVID-19, jobs changed due to confinement;for this reason remote work increased;In a survey carried out among workers from the Universidad de Ciencias y Humanidades, the desire to improve the organization of their work schedule is mentioned, for this reason it was decided to create a virtual assistant, taking into account that virtual assistants and smart devices are increasingly more involved in daily life, devices that can be controlled with the voice, to perform specific activities, in some field of application, the virtual assistant created will help in the organization and recall of events, during remote work, based on these requirements, was born YANA, a virtual assistant developed in Python, which through voice instructions, guides you to organize your work schedule in addition to reminding you of upcoming events, thus managing to provide support in the organization of the agenda, leaving aside the concern of forgetting something Important event;Together with the development of YANA, it was possible to create a user interface, which allows us to control YANA and interact with it, since it is also capable of answering various questions that are asked, as well as the ability to follow a conversation;In the evaluation system developed to evaluate YANA's interaction with users, an average of 7 out of 10 was obtained from a series of questions posed to users. © 2021 IEEE.

Resilience in women during the pandemic of the new variant of covid - 19 in lima north

Resilience during the COVID - 19 pandemic plays a key role in the development of strategies for each person to adapt and face conflicts during this emergency due to COVID - 19. The objective is to determine the resilience in women during the pandemic of the new strain of COVID-19 in North Lima, due to its properties it is a quantitative study, with a descriptive, non-experimental cross-sectional methodology, with a total of 347 women who responded to a virtual survey on resilience. In their results, we observe resilience in women, where 8 (2.3%) of women have high resilience, 258 (72.9%) have medium resilience and 88 (24.9%) have low resilience. It is concluded that resilience will play a key role as a protector that will improve the response to stressful situations such as the COVID-19 pandemic. © 2021 MEDIC SCIENTIFIC. All Rights Reserved.

Stress in nursing professionals who work in the first line of care against covid – 19 in north lima

Stress is one of the most recurrent problems in health professionals, but during the pandemic a high rate has been expected due to the high demand for COVID-19 infections, which has generated mental imbalance in health professionals and for this reason they cannot provide good care, so the research objective is to determine the Stress in Nursing Professionals who work in the First Line of Care against COVID-19 In North Lima. It is a study with quantitative - descriptive, non-experimental, and cross-sectional methodology, made up of a total of 255 study participants who responded to a survey of sociodemographic aspects and the Nursing Stress Scale. In their results, we observe that 55 (21.6%) of the nursing professionals present high stress, 139 (54.5%) medium stress and 61 (23.9%) low stress. In conclusion, it should be coordinated with professionals specialized in mental health to conduct an intervention program in the management of stress in the situation of the COVID-19 pandemic in nursing professionals. © 2021 The authors.

Detection of Possible COVID-19 Cases using Thermal Imaging and a DRONE

In December 2019, a series of cases of pneumonia caused by SARS-CoV-2 were identified in Wuhan (China), which was declared by the WHO as a pandemic on March 11th, 2020, because it caused enormous problems for the global public health due to its rapid expansion. In Peru it was only on March 6th, 2020, that the first case of COVID-19 was reported, therefore, the government took some measures to control the spread of the virus. A biosafety measure that is frequently used is taking the temperature with an infrared thermometer, which is not well seen by some specialists due to the error it has, therefore, it would not represent a safe measurement, as other measurement systems do.. In view of this problem, in this article a thermal image processing system was carried out to detect possible cases of patients with COVID-19, in such a way that the system performs a more accurate measurement of body temperature and can be implemented in any place, where this measurement is intended to be carried out, helping to combat the spread of the virus that currently continues to affect many people. Through the development of the system, tests were conducted with various people, obtaining a more accurate measurement of body temperature with an efficiency of 95% at 1 m between the drone and the person, in such a way that if it presents a body temperature above 37°C could be infected with COVID-19. © 2022 International Journal of Emerging Technology and Advanced Engineering. All rights reserved.

Resilience during the health emergency in residents of an unattended population in north lima

Resilience is a way of acquiring skills that allow to face situations that compromise its health well-being during the coronavirus pandemic. The research objective is to determine the resilience during the coronavirus pandemic in residents of a vulnerable area of North Lima. The results show the resilience of the residents of a vulnerable area of North Lima, where 13 (1%) have a low resilience level, 413 (30.8%) have medium resilience level and 917 (68.2%) high resilience level. It is concluded that strategies should be promoted on how to maintain mental health at home during the COVID-19 pandemic. © 2021 MEDIC SCIENTIFIC. All rights reserved.

Anxiety in pregnant women during the covid – 19 pandemic who go to a hospital in lima

Anxiety is one of the factors that affects the mental health of pregnant women during the coronavirus pandemic, due to the physiological and vital changes in their pregnancy. The objective is to determine anxiety in pregnant women during the pandemic of coronavirus who go to a hospital in Lima. It is a quantitative, non-experimental, descriptive cross-sectional study, with a total population of 660 participants, who answered a survey with sociodemographic data and the state-trait anxiety scale. In the results, we observed that during the coronavirus pandemic, 16 (2.4%) of pregnant women presented low anxiety, 555 (84.1%) presented medium anxiety and 89 (13.5%) presented high anxiety. It is concluded psychological interventions are necessary for pregnant women and thus be able to help them during this stage in a safer and more trouble-free way during the coronavirus pandemic. © 2021 MEDIC SCIENTIFIC. All rights reserved.

Implementation of a thermal image processing system to detect possible cases of patients with COVID-19

COVID-19 does not show signs of having disappeared, being a very contagious disease, the WHO recommended limiting the free movement of people, since from its appearance until May 1st, 2021, it caused the death of more than 3.2 million of people around the world. In Peru, it economically affected those people who generated income every day to survive, for this reason some activities were reactivated complying with the biosafety measures that are the use of mandatory mask and social distancing (more than 1 meter). Taking body temperature with an infrared thermometer is an optional measure, generating rejection by specialists, indicating that there is little evidence of its sensitivity and specificity and of its doubtful ability to detect fever. In view of this problem, this article will implement a thermal image processing system to detect possible cases of patients with COVID-19, in such a way that the system performs a more accurate measurement of body temperature, and it can be implemented in any place where such measurement is intended, helping to combat the spread of the virus that currently continues to affect many people. The system has a more accurate measurement of body temperature with an efficiency of 95% at 1 meter between the drone and the person, in such a way that if it presents a body temperature higher than 40°C it could be infected with COVID-19. © 2021 IJETAE Publication House. All Rights Reserved.

Implementation of an fm radio station to facilitate remote education in the district of cojata

INEI affirms that in 2020 6.7% of the student population of Regular Basic Education (RBE) belonging to rural areas did not access any type of distance education implemented by the Ministerio de Educación (MINEDU) due to social isolation by the National Emergency by the COVID-19. That is why the research work is proposed, which consists of providing coverage with a radio signal in modulated frequency (FM) to the towns that belong to the district of Cojata-Puno and other beneficiaries, to retransmit information related to virtual education denominated "Aprendo en Casa"that is transmitted by web, radio, and television in national channels. In this project, the satellite signal of National Radio of Peru will be used to broadcast the audio programs through the modulated frequency signal, for which studies were first carried out to raise the profile of the project, which consists in obtaining the geographical coordinates and the elevation profile to determine the free space for the propagation of the radio frequency signal and to verify the broad coverage of the signal in the strategic areas, for the location of the places, the different simulations with the support of radio Mobile software, Google Earth and MMANA-GAL, obtaining favorable line-of-sight results with 100% of the first Fresnel zone cleared with respect to the Kantati Ururi community with a reception level of -49.7 dBm which means a high hearing level at the receiver. It is concluded that it is possible to provide a radio signal using FM. © 2021 Seventh Sense Research Group.

Design of a thermal imaging system to detect possible cases of COVID-19 patients

The problem that the world is currently facing and that has claimed more than 3.2 million lives worldwide is COVID-19. Being a highly contagious disease, the WHO recommended limiting the movement of people out of their residence. Given this, Peru took the necessary measures to control the spread of this virus, therefore, the government decreed a general quarantine in the country, which from March 6th to May 9th, 2020, had reported the death of 1814 people in the country, because the health system at the national level was not prepared for such magnitude, in addition to that the number of infections continued to grow since they do not respect social distancing. In view of this problem, this article will design a thermal image processing system to detect possible cases of patients with COVID-19, in such a way that it allows companies or institutions to know the body temperature of each person, and thus know they are possibly COVID-19 patients. Through the design of this system, it will be possible to measure body temperature with the drone and the thermal camera at 50 cm from the person, in such a way that if the person has a body temperature higher than 38°C it could be infected with COVID-19. Therefore, the implementation of this system will help reduce the number of infections within an institution or workplace. © 2021 International Journal of Emerging Technology and Advanced Engineering. All rights reserved.

Design of a Plastic Shredding Machine to Obtain Small Plastic Waste

One of the biggest environmental problems in the world is the excess of plastic waste. Although it is true, around the world there are companies that are responsible for recycling plastic waste, since 42% of plastics that are generated worldwide have a single utility. In Peru, the culture of recycling is not promoted, each year approximately each person uses 30 kilos of plastic and that only in Metropolitan Lima and Callao 46% of plastic waste is generated nationwide. In view of this problem, this article will design a plastic shredding machine to obtain small plastic waste to help people to be dedicated to the recycling industry in an automated way, it would also generate jobs since it requires a staff in charge of the machine and it will also be extremely useful to reduce plastic pollution in the environment, which due to COVID-19 is increasing. Through the design of the plastic waste shredding machine, the plastic will be selected by color and type of plastic composition, whether it is Polyethylene Terephthalate (PET), High Density Polyethylene (HDPE), Low Density Polyethylene (LDPE), Polychloride vinyl (PVC) or Others (Plastic Mix), then it will go through the shredding process to become small plastic waste, which could be turned into filament for 3D printer.