Application of Machine Learning Techniques in Additive Manufacturing: A Review

This chapter provides an analysis of the state-of-the-art in ML applications for optimizing the additive manufacturing process. This chapter primarily presents a review of the literature on the use of machine learning (ML) in optimizing the additive manufacturing process at various stages. The chapter identifies ML-researched areas in which ML can be used to optimize processes such as process design, process plan and control, process monitoring, quality enhancement of additively manufactured products, and so on. In addition, general literature on the intersection of additive manufacturing and machine learning will be presented. The benefits and drawbacks of ML for additive manufacturing will be discussed, as well as existing obstacles that are currently limiting applications.

Centralized on-line monitoring system for pipeline and cable environment and fresh air of air conditioning

Aiming at the problem of on-line centralized monitoring error of pipeline and cable environment and fresh air of air conditioning, a utility model is designed, a centralized monitoring system of pipeline and cable environment and fresh air of air conditioning is disclosed, the system structure configuration is optimized, and the system performance is improved by combining multiple central air conditioning controllers, data processors, acquisition servers and other equipment, combined with LabVIEW technology, the system software function and operation process are improved. Finally, the experiment proves that the centralized online monitoring system for pipeline and cable environment and air conditioning fresh air can better reduce the monitoring error and ensure the real-time monitoring quality of pipeline and cable environment and air conditioning fresh air.

Pengembangan Sistem Pelaporan Data Hasil Inspeksi Barang Berbasis Web

The purpose of this study is to describe the application and manage data of the system of reporting for goods in PT. Amindoway Jaya web-based. With descriptive qualitative methods, it allows product results that have a high level of checking and reduce errors. Then check the products from beginning to end and have their own SOP for products that are defective or damaged and cannot be used anymore. The results of a good analysis show that the company has undergone good quality control well, but the quality control reporting process and the search for defect reports take a long time because they have to recap one by one the less systematic checking forms. To overcome this problem, it is necessary to develop an information system for quality control and defect reports. Descriptive qualitative method to analize data and Unified Modelling Language (UML) to analize the design of the system to be developed. With the system design that will be developed, it is hoped that it can overcome the problems faced by PT Amindoway Jaya related to monitoring quality control reports and defective products

Avaliação, Monitoramento e Melhoria da Qualidade na APS

Esta nota técnica se insere no conjunto de ações desenvolvidas pela Rede de Pesquisa em Atenção Primária à Saúde e apresenta sua posição sobre avaliação, monitoramento e melhoria da qualidade na APS. Em um contexto de grave crise sanitária que desnuda as dificuldades institucionais, financeiras e operativas de resposta à situação de saúde, situa o debate e traz proposições que fortalecem uma prática avaliativa como instrumento essencial para o aprimoramento e fortalecimento de ações que potencializam o papel da APS no contexto do SUS. Estas notas abordam: a avaliação no contexto da APS em uma perspectiva histórica e institucional que situa sua relevância na própria trajetória do SUS. A importância de compreender os conceitos, métricas e indicadores e apropriá-los ao debate qualificado no âmbito da APS. Uma posição para a Rede APS em termos de desafios e proposições, visando a uma APS mais forte que nunca. Palavras-chave: APS, Avaliação, Monitoramento, Qualidade. Abstract This technical report is part of the set of actions developed by the Primary Health Care Research Network and presents its position on evaluation, monitoring and quality improvement in PHC. In a context of serious health crisis that exposes the institutional, financial and operational difficulties in responding to the health situation, it situates the debate and brings proposals that strengthen an evaluative practice as an essential instrument for the improvement and strengthening of actions that enhance the role of PHC in the context of the SUS. These notes address: the assessment in the context of PHC in a historical and institutional perspective that locates its relevance in the trajectory of the SUS. The importance of understanding the concepts, metrics and indicators and appropriating them to the qualified debate within the PHC. A position for the APS Network in terms of challenges and propositions, aiming for a stronger APS than ever. Keywords: PHS, assessing, monitoring, quality.

Integrating Quality Assessment Through Metrics into Scrum Software Development

Metrics are advantageous for all software development companies to assess and ensure quality. Therefore, integrating metrics is essential throughout the software development process to track, and correct deviations, and improve continuously. In this paper, we examine how to integrate quality assessment through metrics into the Scrum development process through a new approach entitled Metrics for Quality in Scrum (MQScrum). The MQScrum approach makes a valuable contribution to track Scrum projects even if using agile project management tools without slowing teams down. So, it facilitates the teams monitoring quality, discovering problems, and making the appropriate improvements thanks to the MQScrum reports. Firstly, we introduce a Scrum meta-model enhanced by metrics-related concepts. Then, we represent a layered model for our MQScrum approach illustrating the data processing across three layers from the Scrum process layer to the layers of Scrum concepts and finally to that of metrics. Consequently, the proposed solution is an alignment of the Scrum process with a metric-based Scrum system. Finally, it demonstrates process tasks from which pertinent data is collected and then stored in a database based on Scrum and metrics related concepts.