Validation of SI-based digital data of measurement using the TraCIM system

The digital transformation in the field of sensors and sensor systems fosters an increasing exchange and interoperation of measurement data by machines. The data of measurement need to be uniformly structured based on The International System of Units (SI) with appropriate information on measurement uncertainty. This work presents a concept for an online validation system that can be used by humans and software to efficiently classify the agreement of XML-structured data with relevant recommendations for measurement data. The system is within the TraCIM (Traceability for Computationally-Intensive Metrology) validation platform which was developed for software validation in metrology where high standards of quality management must be met.

DEVELOPMENT OF A CHATBOT TO IDENTIFY DEPRESSION THROUGH A QUESTIONNAIRE

Purpose: to develop and test a prototype of Chatbot (Artificial Intelligence) with the purpose of applying a questionnaire to assess depression in visually impairmed invidivuals. Methods: This project was carried out in the Innovation in Health Technology Laboratory of the Sao Paulo Federal University. The Chatbot was developed using the platform BLiP. The social demography questionnaire and the Center for Epidemiological Scale Depression (CES D) were selected to collect the essential data and to identify the presence of depression, respectively. After the development, validation tests were applied to verify the functionality and structure of the chatbot. Results: The Chatbot prototype presented an excellent flow of conversation in the tests conducted. The questionnaires were applied in a satisfactory manner during the tests, showing that it could possibly be applied to real patients with depression symptoms. Software validation tests approved the prototypes function. Conclusions: The Chatbot prototype is an affordable and easy way to apply questionnaires that can be used to identify health conditions, such as the likelihood of being depressed. The Chatbot system can record the answers so it is analyzed by health care professionals to help decide if an intervention is necessary. KEYWORDS: Artificial Intelligence; Depression; Ophthalmology; Vision Disorders.

SentiHotel: a sentiment analysis application of hotel services using an optimized neural network

An assessed hotel service is necessary for tourists and everyone who is traveling, however currently it is still difficult to find recommended hotel information. The solution provided in this research is to propose a smart application that has been developed by implementing machine learning in it. The purpose is to build a sentiment review smart application by applying the sentiment analysis hybrid model of the best neural network (NN) algorithm model that has been optimized using genetic algorithms. To get the right model, the research method was carried out with experiments starting from the initial stages of conducting data preprocessing, tokenization, weighting, modeling experiments, and conducting the system evaluation stage to determine the success of the proposed model. The progress of the application development system is by using the prototyping model. SentiHotel is a sentiment application that was successfully built to provide a solution for tourists in assessing a hotel service. The software validation test is carried out using the blackbox method and the results show that the SentHotel application is in accordance with the expected result; all system functions can run properly.

Desenvolvimento de um Gerador de Programas Aleatórios em Java

With great advances in the computer science area where technologicalsystems are becoming more and more complex, tests are hardto perform. The problem is even more serious in critical systems,such as flight control or nuclear systems, where an error can causecatastrophic damage in our society. Currently, two techniques areoften used for software validation: testing and software verification.This project aims the testing area, generating random programs tobe used as input to property-based tests, in order to detect errorsin systems and libraries, minimizing the possibility of errors. Morespecifically, Java programs will be automatically generated from existentclasses and interfaces, considering all syntactic and semanticconstraints of the language.