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Item type:Publication, Simulation with system dynamics on university student research(Institute of Advanced Engineering and Science, 2022-10-01)Currently, student research at the university under study is carried out from the first semesters until the student graduates, but it is necessary to make adjustments to its guidelines that include student research within a teaching-learning process. The objective of the research is to propose a model of student research, using causal diagrams and forrester diagram; then carry out a simulation of the projection from 2021 to 2026 with the variables, students, quality teachers in the research, completed work for publication in journal or conference; and thus index in Scopus or Web of Science. Besides, in the methodological part, the systems dynamics method was applied, based on the systemic approach. The research work is predictive, which was carried out with the Vensim software, obtaining as a result of the simulation, an increase in the production of complete Works by the students; where in 2026 around 300 articles will be published by the students. In addition, there will be about 12 full-time quality research professors and approximately 6,000 students in 2026. The conclusion reached in the research is that the model helps the authorities make decisions appropriately according to the forecasts made in the different scenarios made with the Vensim software. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, How to determinate water quality using an artificial intelligent model based on grey clustering?(Institute of Advanced Engineering and Science, 2022-10-01)Water quality is an important topic for countries like Peru, where the mining sector is one of the main economic activities, so the study of its impact on water quality is also necessary to have a regular control of benefits and dangers. In this way, to achieve this objective, the chosen methodology was grey clustering, which is based on artificial intelligent theory. Specifically, the central point triangular whitening weight function better known as CTWF, which is an approach from grey clustering, was used. The case study was focused on the Mashcon and Chonta rivers, located in the province of Cajamarca, Peru, these rivers are directly affected by an open pit mine. The study was carried out taking into account thirteen monitoring points taken by National Water Authority (ANA). The results showed that all the points considered were classified as not contaminated, A1 category, this using the parameters of the Peruvian government. With these results, the mining company was able to demonstrate that they are taking the water quality into account and that they are making an effort to keep these rivers as healthy as possible. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Educational Platform to Improve Learning for Children with Autism(International Association of Online Engineering, 2023-01-01)The research focuses on children with autism, who cannot access education either because they do not have a school near their homes or because they are misinformed by their parents that they can access education regardless of their disability. By not receiving an education, children are deprived of their right to education. The objective is to design a prototype of an educational platform taking advantage of technological tools for the learning of children with special educational needs. A hybrid methodology and the balsamiq tool were used, as they were appropriate for developing the project. The result was that children with disabilities can learn by interacting with technology and in the same way their parents can visualize some exercises and crafts that they can do at home with their children, since it is based on their educational needs. It is concluded that teachers are in total agreement with the use of technology for children with autism, since this will help to improve their learning. The research contributes to society, teachers and parents with children with autism problems. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Artificial Intelligence Model Based on Grey Clustering to Access Quality of Industrial Hygiene: A Case Study in Peru(MDPI, 2023-03-01)Industrial hygiene is a preventive technique that tries to avoid professional illnesses and damage to health caused by several possible toxic agents. The purpose of this study is to simultaneously analyze different risk factors (body vibration, lighting, heat stress and noise), to obtain an overall risk assessment of these factors and to classify them on a scale of levels of Unacceptable, Not recommended or Acceptable. In this work, an artificial intelligence model based on the grey clustering method was applied to evaluate the quality of industrial hygiene. The grey clustering method was selected, as it enables the integration of objective factors related to hazards present in the workplace with subjective employee evaluations. A case study, in the three warehouses of a beer industry in Peru, was developed. The results obtained showed that the warehouses have an acceptable level of quality. These results could help industries to make decisions about conducting evaluations of the different occupational agents and determine whether the quality of hygiene represents a risk, as well as give certain recommendations with respect to the factors presented.