Data-Driven Causal Modeling of the Manufacturing System

In manufacturing system management, the decisions are currently made on the base of ‘what if’ analysis. Here, the suitability of the model structure based on which a model of the activity will be built is crucial and it refers to multiple conditionality imposed in practice. Starting from this, finding the most suitable model structure is critical and represents a notable challenge. The paper deals with the building of suitable structures for a manufacturing system model by data-driven causal modelling. For this purpose, the manufacturing system is described by nominal jobs that it could involve and is identified by an original algorithm for processing the dataset of previous instances. The proposed causal modelling is applied in two case studies, whereby the first case study uses a dataset of artificial instances and the second case study uses a dataset of industrial instances. The causal modelling results prove its good potential for implementation in the industrial environment, with a very wide range of possible applications, while the obtained performance has been found to be good

THE ROLE OF ACCOUNTING PROCEDURES IN WRITING/IMPLEMENTING EUROPEAN PROJECTS

This paper focuses on aspects of accounting procedures in general accounting procedures specific to those projects with European funding within public institutions in particular. Given the great emphasis placed by the legislator on the development and implementation of accounting procedures, we consider that the theme is a nowadays one that can be used by accounting specialists who work as accountants and financial managers in European projects. We will also focuses on the attributes of the persons responsible for implementing the accounting procedures in a project but also on the importance of their proper professional training in the field. In preparing this paper we started from the legislative provisions in the field, and the results of the study aim to present the work procedures required for accounting organization within a project, and to present the accounting notes used for economic and financial operations specific for European Regional Development Fund funded projects which beneficiary is a public institution

Gem5-X: A Gem5-Based System Level Simulation Framework to Optimize Many-Core Platforms

The rapid expansion of online-based services requires novel energy and performance efficient architectures to meet power and latency constraints. Fast architectural exploration has become a key enabler in the proposal of architectural innovation. In this paper, we present gem5-X, a gem5-based system level simulation framework, and a methodology to optimize many-core systems for performance and power. As real-life case studies of many-core server workloads, we use real-time video transcoding and image classification using convolutional neural networks (CNNs). Gem5-X allows us to identify bottlenecks and evaluate the potential benefits of architectural extensions such as in-cache computing and 3D stacked High Bandwidth Memory. For real-time video transcoding, we achieve 15% speed-up using in-order cores with in-cache computing when compared to a baseline in-order system and 76% energy savings when compared to an Out-of-Order system. When using HBM, we further accelerate real-time transcoding and CNNs by up to 7% and 8% respectively

Method for holistic optimization of the manufacturing process numerically described as low-dimensional database

The management of the production processes in an optimal manner involves the usage of knowledge about past jobs as reference for current decisions. During a manufacturing flow in every process step the process engineers could be in situations that request quick decisions based on comparison of different potential manufacturing paths. The Method for Holistic Optimization was developed in order to be used as support for decisions. The method was validated thru different studies. For the mentioned studies there were used artificial and real instances databases. The approach of the optimal management of the manufacturing processes was developed in the current study in order to estimate the consequences of a decision, are used known methods, such as: NN modeling, big data analysis, statistics, etc. In all these cases, the database size plays an essential role in terms of estimation quality. The main purpose of the study is to analyze and validate that the Method for Holistic Optimization is feasible to be used in case a decision-maker uses a reduced database. This can be a significant advantage compared with other methods. The study it is performed using an instance database which was artificially generated in case of a turning process. The obtained results are consistent and promising

Algorithms for modelling the load of teeth from pinion cutter tool used at worms machining

Abstract The turning of worms with tools of pinion cutter type means to generate helical surfaces by rolling. In this case, the process of detaching the chip by tool successive teeth is characterized by uneven variation of chip total area, calculated as sum of the areas corresponding to the chips simultaneously detached by all tool teeth in contact at a time with the machined part. As consequence, the cutting forces that load the tool cutting edges are also uneven which negatively impacts the machining process: uneven wear of tool teeth and uneven elastic deformation of technological system with bad effects onto the precision of generated worm flanks. This paper proposes the analytical modelling for both area and shape of the chips detached, during the machining process, by the successive teeth of the pinion cutter that generates a cylindrical worm. The tool tooth involute flanks and the arc from tooth head are modelled, thus delimiting the region formed by the successive active teeth of the tool. The model of the chip detached during the rolling between tool and part centrodes is determined and, on this base, the area of the chip detached for an increment of tool rotation is found. Starting from proposed model, a graphical application in CATIA environment was developed in order to calculate the cumulated area of chips simultaneously detached by tool teeth, which is further needed in order to reduce the cutting force unevenness.</jats:p

Analytical and graphical modelling of the cutting scheme when generating with a pinion cutter

Abstract The teeth generation in the case of the cylindrical gears with involute profile is frequently realized with tools of pinion cutter type, on specialized slotting machine tools. In general, during gear teeth machining, several teeth of the tool are concomitantly in contact with the worked part, each one detaching a separate chip. The process is characterized by important unevenness of these chips cumulated area, depending on the relative position between the pinion cutter and the worked part. This transforms into cutting force and cutting torque unevenness and negatively influences both machine tool operating and tool life. The paper addresses the problem of smoothing the detached chips cumulated area at the consecutive strokes of the tool, along the rolling motion between it and the worked part, in order to obtain a main cutting torque as uniform as possible. In this purpose, the analytical modelling of the tool/worked part contact is realized at first, in the cases of generating both exterior and interior gears with involute straight teeth. Then, because the analytical solution is very laborious, a modelling algorithm is developed in one of the most performant graphical environments, which is CATIA. By implementing the graphical solution, the variation of detached chips cumulated area can be determined and the required variation law of the rolling feed, leading to process smoothing, can also be found. A numerical approached case study, concerning the teeth machining for an exterior gear is also presented.</jats:p

Exploring non-volatile main memory architectures for handheld devices

by Sneha N. Ved and Manu Awasth

Impact of COVID-19 Pandemic on the Educational-Instructional Process of the Students from Technical Faculties

Even though we live in a period when the word digitization is prevalent in many social areas, the COVID-19 pandemic has divided mankind into two main categories: some people have seen this crisis as an opportunity to move the activities online and, furthermore, to accelerate digitization in as many areas as possible, while others have been reluctant, keeping their preferences for face-to-face activities. The current work presents the results of an analysis on 249 students from 11 engineering faculties. The study aims to identify the impact of the COVID-19 pandemic on students’ educational experiences when switching from face-to-face to online education during a public health emergency or COVID 19-related state of alert. The overall conclusion was that, although the pandemic has brought adverse consequences on the health and life quality of many people, the challenges that humankind has been subjected to have led to personal and professional development and have opened up new perspectives for carrying out the everyday activities