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It is a constant objective for manufacturing companies to improve the efficiency and effectiveness of their maintenance processes. Avoiding unexpected breakdowns that result in high costs and production losses is a major concern. Not only the selection of appropriate maintenance strategies, but also the use of appropriate methods and tools to support decision making in this area is essential to achieve this goal. This article presents the possibility of using machine learning methods to develop predictive models to support decision making in maintenance management. For this purpose, three different machine learning methods have been considered: Neural Networks (NN), the k-Nearest Neighbours algorithm (KNN) and Support Vector Machines (SVM). These models were constructed using variables identified through statistical analysis as having a significant impact on the effectiveness of maintenance processes, specifically the availability of machinery in the production process. The developed models were subjected to a qualitative evaluation, which led to the identification of the SVM model as the most suitable to support decision making in the planning and execution of maintenance processes.

In this paper, a fuel cell system supervisory controller is developed for a fuel cell-based hybrid electric vehicle to safely control the interactions between powertrain components, maximize efficiency and minimize the degradation of the fuel cell. The proposed fuel cell supervisory controller includes three main elements: a state machine, an optimal setpoint generator and a power limit calculator. The state machine, as the top layer of the supervisory controller, is responsible for coordinating the various subsystems of the fuel cell, including the three subsystems, anode, cathode, thermal, and the dc/dc converter. The primary purpose of the state machine is to ensure global control over these subsystems as well as facilitate communication between the fuel cell system, diagnosis system, and Vehicle Control Unit (VCU). The state machine not only allows for the appropriate transitions between states but also governs the fuel cell system operation in all its different operating states such as Start-up, Shutdown and Run. The optimal setpoint generator is responsible for determining the operating conditions of the fuel cell system that maximizes the system's efficiency. It is designed by taking into account the comprehensive model of the fuel cell stack, considering manufacturing constraints, and incorporating the compressor map which then provides the optimal setpoints for all the subsystems' local controllers. A power limit calculator is also developed to compute the stack available power and feeds this information to the energy management system in the VCU. This information is used by the VCU to split the requested power between the fuel cell and the battery. The experimentally validated stack model and the complex model of the subsystems based on the Inn-Balance project data are used in the simulation. Furthermore, the subsystems' local controllers used in the MATLAB-Simulink were validated in a real vehicle test bench. The Common Artemis 130 km/h Driving Cycle (CADC) for automotive applications is used to verify the proposed fuel cell system supervisory controller in the MATLAB-Simulink environment. The simulation results showed that the proposed control structure functioned properly in the Run mode using this CADC-based load profile.

Power Hardware-In-the-loop (HIL) testing is increasing in the automotive industry for testing subsystems for new vehicles. Usually, the test is located in a unique place (stand-alone (local) HIL). The key-points for a vehicle manufacturer and subsystems suppliers are time and confidentiality. Using the cloud is a way to satisfy the both. Cloud model sharing is developed to spare time and cloud-based real-time simulation limits the access to the models to only certain variables. In this article, a cloud-based power HIL testing is proposed using a cloud of vehicle models. The Energetic Macroscopic Representation (EMR) formalism is used to organize all the models. It facilitates the interconnections between the simulated and power tested subsystems. Two new batteries are experimentally tested, one for an electric vehicle, the other one for a plug-in hybrid vehicle. The same cloud is used and the power test facilities are located in two different locations. This shows the flexibility of the method.

This research addresses the long-term measurement of environmental data in geographically remote areas and an energy-optimized method of storing data on a storage medium. For this purpose, we have developed our measurement module Advanced Data Logger (ADL). In terms of connectivity, the module operates in three modes: 1) offline—when measured data is primarily stored on the storage medium; 2) Internet of Things (IoT) ready—measured data is stored on the storage medium and sent to the remote server in defined batches; and 3) online mode—when measured data is preferably sent to the remote server immediately after measurement. The design aims to minimize the module’s power consumption so that the autonomous operating time is close to one year. As part of the design, the Simple File System (simpleFS) software module is designed for the role of a simple file system (FS) optimized to minimize I/O operations. Its other feature in data storage is the automatic normalization of the data transmitted from the attached sensors. The last part of the design is the AdlReader software solution, used to configure the hardware (HW) module and to retrieve the measured data files. We verified the correct operation of the ADL module along with nine sensors built in a vertical soil temperature profile probe in experimental installation and operation for two months. According to the requirements for our solution, the expected operation time of the ADL module is 9–12 months.

In the current context of public-sector workplaces, there is a more concerted effort to address identity and equity through greater inclusion. The aim of the special issue is to present emergent empirical research assessing organizational attributes, policy, and practice for achieving improved workplace inclusion and individual perceptions of inclusive public-sector workplaces. This special issue highlights studies that advance innovative methodologies to address emergent research questions related to understanding, implementing, and assessing inclusive cultures and perceptions of inclusion. The collection of articles advances the understanding and theories of inclusive practices, policies, and organizational attributes. The authors go beyond the rhetoric of inclusion to parse out how inclusion is defined and operationalized in organizations, the impact of inclusive initiatives, and areas of identity that need to be explicitly included. This research provides a pathway for intentionally making the case for inclusion, not just acknowledgment of diversity.

The article tackles the issue of normative acts and documents passed by the Catalan parliament that are part of the region’s independence process. The subject of the study includes the laws and declarations that caused the most controversy and were adopted between 2012 and 2017, the most turbulent period for Catalonia in political and social terms. Importantly, they are analyzed in the context of the radicalization process of Catalan independentism.

President Obama's 2011 Executive Order 13583 was expected to serve as a catalyst for a coordinated government-wide initiative to promote diversity and inclusion in the federal workforce. This order reinforced the government's commitment to equal employment opportunity by “using the talents of all segments of society,” achieved by recruiting, hiring, promoting, and retaining a more diverse workforce. The order mandated the creation of a government-wide diversity and inclusion strategic plan as well as agency-specific plans. This study uses institutional theory as a lens to examine agency response to EO 13583 to articulate diversity and inclusion rationales, practices, and correlating workforce demographic trends. We examine how three federal agencies articulated diversity and inclusion practices and activities in the plans. We explore demographic workforce trends prior to, during, and after adoption of the agency diversity and inclusion plans. Together, these analyses offer evidence of varied approaches to diversity and inclusion as well as uneven progress in pursuing the letter and spirit of the order. Specifically, the articulation of agency-specific diversity goals following Executive Order 13583 does not consistently translate to enhanced workforce diversity.

This article demonstrates how lemmatization has been integrated into the workflow of the digital edition of the Histoire ancienne jusqu'àCésar, the earliest universal chronicle in French, involving specialists in the fields of medieval French literature, lexicography, and digital humanities. After presenting the dynamic and collaborative editorial workflow, we discuss how the project's lemmatizer, Lemming, has helped the team to improve the accuracy and quality of the edition and offered an opportunity to reflect on the language and lexis of the text. The results of lemmatization are integrated into the edition's faceted search page, which functions as a tool for linguistic research, a lexical support for readers, and an alternative to an index of names.

The article deals with the position of the Spanish monarchy in the context of Catalan separatism (independentism). The analysis is focused on the search for potential relationships between the weakening position of the Spanish monarchy and Catalan independentism and the consequences associated with this. To this end, the exploration includes both the monarchy in the institutional sense and focuses on the person of Juan Carlos I de Burbon himself and his son and successor Philip VI de Burbon. Furthermore, an important aspect of the research is the reference of the position of the monarchy to the issue of the independence process in Catalonia and a forecast in this light for the further development of Catalan separatism.