An Empirical Study of Training Data Selection Methods for Ranking-Oriented Cross-Project Defect Prediction

Ranking-oriented cross-project defect prediction (ROCPDP), which ranks software modules of a new target industrial project based on the predicted defect number or density, has been suggested in the literature. A major concern of ROCPDP is the distribution difference between the source project (aka. within-project) data and target project (aka. cross-project) data, which evidently degrades prediction performance. To investigate the impacts of training data selection methods on the performances of ROCPDP models, we examined the practical effects of nine training data selection methods, including a global filter, which does not filter out any cross-project data. Additionally, the prediction performances of ROCPDP models trained on the filtered cross-project data using the training data selection methods were compared with those of ranking-oriented within-project defect prediction (ROWPDP) models trained on sufficient and limited within-project data. Eleven available defect datasets from the industrial projects were considered and evaluated using two ranking performance measures, i.e., FPA and Norm(Popt). The results showed no statistically significant differences among these nine training data selection methods in terms of FPA and Norm(Popt). The performances of ROCPDP models trained on filtered cross-project data were not comparable with those of ROWPDP models trained on sufficient historical within-project data. However, ROCPDP models trained on filtered cross-project data achieved better performance values than ROWPDP models trained on limited historical within-project data. Therefore, we recommended that software quality teams exploit other project datasets to perform ROCPDP when there is no or limited within-project data.

Servitization and Sustainable Value Creation Strategy for China’s Manufacturing Industry: A Multiple Case Study in the Belt and Road Initiative

Manufacturers are adding service offerings to satisfy customers’ needs in various markets. Effective strategies for servitization can improve the competitiveness of manufacturers during cooperation. The Belt and Road Initiative (BRI) established by China offers opportunities for economic cooperation and regional integration for the involved countries. Now, many manufacturing firms are expanding their businesses into Belt and Road countries, most firms are facing the “how to do” problems in improving sustainability during their cooperation. They urgently require methodical assistance on both improving competitiveness through servitization and addressing sustainability challenges. This necessitates the firms to develop successful service models for their industrial initiatives and investigate ways to produce long-term sustainable value through services. In addition to the firm’s economic worth, it also entails lowering the project’s negative environmental impact. The results provided effective strategies for manufacturers from two perspectives. The first perspective is the study discovered innovative service models at both the product and project levels. Project-service systems are critical, and manufacturing firms should use innovative service models to deliver projects. The operation method of holistic solution and localization integration project service was addressed in particular in this study. In the second perspective, there are suggestions for achieving sustainability through innovative service models. The methods for preserving sustainable value on the industrial project level were the subject of our study, which included significant criteria and detailed descriptions. The effective project service system should bring sustainable value to the lifespan of an industrial project. This study has determined four major paths to improving sustainable value creation through servitization: improving resource allocation capabilities, reduce carbon emissions through energy project service, technological outputs, and standards exportation. Useful recommendations are provided for manufacturing firms planning to develop their business overseas, especially in BRI countries.

Hydro-Thermal Modeling for Geothermal Energy Extraction from Soultz-Sous-forêts, France

The deep geothermal industrial project at Soultz-sous-Forêts is located in the Upper Rhine Graben, France. As part of the MEET project, this study aims to evaluate the possibility of extracting higher amounts of energy from the existing industrial infrastructure. To achieve this objective, the effect of reinjecting fluid at lower temperature than the current fluid injection temperature of 70 ℃ was modelled and the drop in the production wellhead temperature for 100 years of operation was quantified. Two injection-production rate scenarios were considered and compared for their effect on overall production wellhead temperature. For each scenario, reinjection temperatures of 40 ℃, 50 ℃ and 60 ℃ were chosen and compared with the 70 ℃ injection case. For the lower production rate scenario, the results show that the production wellhead temperature is approximately 1-1.5 ℃ higher than for the higher production rate scenario after 100 years of operation. In conclusion, no significant thermal breakthrough has been observed with the applied flow rates and lowered injection temperatures even after 100 years of operation.

Intellectual Capital Dimension Important Measurement in Industrial Project

The knowledge available in the organization has become a competitive advantage that distinguishes it from other industrial organizations, and the knowledge is represented by the availability of individuals who have information, stored knowledge, and different technologies. The grace of reason and through it thinking is now the most powerful and influential weapon most objective to determine the progress of societies, countries and industrial organizations, so most countries and industrial organizations have worked to take advantage of these capabilities that humans enjoy by investing in it, which leads to obtaining several benefits. The dimensions of intellectual capital management in industrial organizations, or what are called the main areas of their work, are determined to (strategic leadership in industrial organizations, planning intellectual capital, owning, developing, and retaining talent, the organizational culture of industrial organizations geared to results). From the above, the research problem can be formulated in a major question: Which of these four dimensions is the most important dimension, and what is the arrangement of dimensions in terms of importance? The aim of the research is to shed light on the intellectual capital and depend on a clear of a researcher with the aims that it seek to achieves, a descriptive analytical approach has been use, and a research has reaches the sets of result, a most impertinent of which: that after a strategic leadership of a educational institution achieved higher importance in terms of averages followed by the dimension Regarding the organizational culture of industrial organizations, in light of the research results, it is recommended to carry out a broader comprehensive survey of all members of the industrial organization and classify the members according to the affiliation in order to find the differences in the philosophical concept of the importance of removing intellectual capital.

Actuator and Process Development for Vibration Assisted Turning of Steel

Due to continuous tool engagement, turning processes tend to form long chips when machining ductile materials. These chip shapes have a negative influence on process performance and productivity. One approach to improve chip breakage is superimposition of vibrations in feed direction of the turning process, which leads to a modulation of uncut chip thickness. In a joint industrial project with Schaeffler Technologies AG & Co. KG, Fraunhofer IWU developed an oscillating actuator for turning. The actuator converts a rotational movement of a drive motor into a translational vibration via an eccentric gear. The tool shank is mounted in solid joint assemblies. With this prototypical system, a cyclic movement of the tool in feed direction can be realized. The typical operating parameters of the actuator is within the range of 1...100 Hz with adjustable vibration amplitudes up to 0.6 mm peak-to-peak. A significant improvement in chip breaking during the machining of steel 1.0503 was shown in cutting tests.

ENHANCED ACCESSIBILITY: AN ELEVATOR WITH AN INTERACTIVE MEDIA SURFACE

This exploratory research paper discusses the importance of experiential qualities in products that have accessible and assistive uses. The focus is on products that may have an ambiguous user experience. Concepts of multisensory user experience and accessibility are presented as an introduction to the topic.The paper builds on the findings of a preliminary user study that was conducted in a joint multi-national and cross-industrial project that was externally funded. In the study, users’ experiences of an accessible means of transport, an elevator prototype with an interactive media surface, were explored. The study comprised a thinking aloud task and a design game.The demonstrated colours, lights and their movements created various kinds of associations among the participating users. The participants also ideated about the product’s alternative applications, some of which concerned accessibility, while others extended beyond it.The findings show that adding experiential product qualities enhances the user experience in terms of various associations and applications that extend beyond accessibility and the original use.

Experimental and numerical analysis of cord–elastomer composites

In this paper, experimental and numerical investigations on cord–elastomer composites are presented. A finite-element model is introduced, which was developed within the framework of an industrial project. The model is able to simulate an elastomer matrix with inserted cords as load bearing elements and to predict the strains and stresses in cord and elastomer sections. The inelastic material behavior of the elastomer matrix and the yarns is described by corresponding material models suitable for large deformation processes. With the help of a specially developed demonstrator bellows, which is similar to an air spring, the simulation results are compared with experiments. For this purpose, the digital image correlation method is used to determine the deformations on the outer surface of the demonstrator bellows and to calculate the strains on and between the cords. The comparison of the results shows that the employed simulation method is very well suited to predict the strains in these cord–elastomer composites.

Exoscarne: Assistive Strategies for an Industrial Meat Cutting System Based on Physical Human-Robot Interaction

Musculoskeletal disorders of the wrist are common in the meat industry. A proof of concept of a physical human-robot interaction (pHRI)-based assistive strategy for an industrial meat cutting system is demonstrated which can be transferred to an exoskeleton later. We discuss how a robot can assist a human in pHRI, specifically in the context of an industrial project i.e for the meat cutting industry. We developed an impedance control-based system that enables a KUKA LWR robot to provide assistive forces to a professional butcher while simultaneously allowing motion of the knife (tool) in all degrees of freedom. We developed two assistive strategies—a force amplification strategy and an intent prediction strategy—and integrated them into an impedance controller.

Research on Reasoning concerning Emergency Measures for Industrial Project Scheduling Control

Industry is an important pillar of the national economy, and industrial projects are the most complex and difficult to manage and control in the construction industry; thus, the resource scheduling control of industrial projects is one of the core issues for industrial construction projects. The performance rate of the contract time periods of previous industrial construction projects has been very low. In scheduling control based on case-based reasoning (CBR), the goal is to implement preventive measures by referring to existing scheduling control cases and control the scheduling of resources through reasoning on emergency measures to prevent scheduling control deviations. In this paper, the rough set approach is used to represent the case feature information in a case reasoning model for industrial project scheduling control, attribute reduction is used to determine the weights of the feature attributes in the rough set representation, and the similarity between cases is calculated for case retrieval. The accuracy of the rough-set-based similarity calculation is verified through matrix similarity calculations and a visual analysis of the all closeness centrality and weighted all degree centrality of the corresponding complex network; thus, similar cases of industrial project scheduling control are identified. To verify the applicability and effectiveness of the proposed methodology, a typical coal chemical general contract project case is carried out. The rough set comprehensive similarity results were 0.733, 0.621, 0.536, 0.614, 0.559, 0.950, 0.708, 0.546, 0.733, 0.664, 0.526, and 0.743, and the matrix similarity results were 0.417, 0.583, 0.417, 0.417, 0.417, 0.833, 0.417, 0.500, 0.417, 0.500, 0.333, and 0.500. The results showed that the case retrieval accuracy of traditional matrix similarity is not as high as the rough set comprehensive similarity, so X 6 is the most similar case to the target case Y. Case retrieval results indicate that the proposed methodology can provide a good similar case selection strategy with project managers, and the final required preventive measures for the target case can be found. Based on the identified similar cases, preventive measures for scheduling control are formulated to effectively prevent scheduling deviations of industrial projects.

Application of IDeS (Industrial Design Structure) to Sustainable Mobility: Case Study of an Innovative Bicycle

The present study aims to validate a new research method called IDeS (industrial design structure) through the design of an electric bicycle for everyday city life. IDeS is the latest evolution of a combination of innovative and advanced systematic approaches that are used to set a new industrial project. The IDeS methodology is sequentially composed of quality function deployment (QFD), benchmarking (BM), top-flop analysis (TFA), stylistic design engineering (SDE), design for X, prototyping and testing, budgeting, and planning. The present work illustrates how to integrate the abovementioned design methods and achieve a convincing result. In going through the IDeS method step by step, we compare the different solutions on the market in order to understand which are the best performing products and to understand what is missing on the market. This method allowed us to design a bicycle that is as close as possible to the “ideal bike”, obtained with the top/flop analysis.