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Design for sustainability needs to apply a societal perspective. The purpose of this paper is to combine the concept of design fixation with higher levels of analysis. Design fixation is used to describe a blind adherence to known concepts during the design process. It is used mostly at the micro level of design with the focus on the activities of an individual designer or a group of designers. In this paper, design fixation gets conceptually lifted to the levels of the organisation and the institution. We ask how the understanding of design fixation helps to achieve higher resource efficiency. Examples of organisational and institutional design fixations are presented. A System Dynamics model is used to simulate the impacts of design fixation on resource use of a sociotechnical laundry systems. Applying this lens suggests that in order to solve societal design fixations, systemic parameters like infrastructure, business models, or policies need to be considered design parameters. The simulation results show that high-level design fixations can have significant impact on resource use., Funding agencies: European Commission under the Horizon 2020 Marie Skłodowska Curie Action 2016, grant number 721909. The APC was funded by the Linköping University Library.

Design for sustainability needs to apply a societal perspective. The purpose of this paper is to combine the concept of design fixation with higher levels of analysis. Design fixation is used to describe a blind adherence to known concepts during the design process. It is used mostly at the micro level of design with the focus on the activities of an individual designer or a group of designers. In this paper, design fixation gets conceptually lifted to the levels of the organisation and the institution. We ask how the understanding of design fixation helps to achieve higher resource efficiency. Examples of organisational and institutional design fixations are presented. A System Dynamics model is used to simulate the impacts of design fixation on resource use of a sociotechnical laundry systems. Applying this lens suggests that in order to solve societal design fixations, systemic parameters like infrastructure, business models, or policies need to be considered design parameters. The simulation results show that high-level design fixations can have significant impact on resource use., Funding agencies: European Commission under the Horizon 2020 Marie Skłodowska Curie Action 2016, grant number 721909. The APC was funded by the Linköping University Library.

Design for sustainability needs to apply a societal perspective. The purpose of this paper is to combine the concept of design fixation with higher levels of analysis. Design fixation is used to describe a blind adherence to known concepts during the design process. It is used mostly at the micro level of design with the focus on the activities of an individual designer or a group of designers. In this paper, design fixation gets conceptually lifted to the levels of the organisation and the institution. We ask how the understanding of design fixation helps to achieve higher resource efficiency. Examples of organisational and institutional design fixations are presented. A System Dynamics model is used to simulate the impacts of design fixation on resource use of a sociotechnical laundry systems. Applying this lens suggests that in order to solve societal design fixations, systemic parameters like infrastructure, business models, or policies need to be considered design parameters. The simulation results show that high-level design fixations can have significant impact on resource use., Funding agencies: European Commission under the Horizon 2020 Marie Skłodowska Curie Action 2016, grant number 721909. The APC was funded by the Linköping University Library.

Design for sustainability needs to apply a societal perspective. The purpose of this paper is to combine the concept of design fixation with higher levels of analysis. Design fixation is used to describe a blind adherence to known concepts during the design process. It is used mostly at the micro level of design with the focus on the activities of an individual designer or a group of designers. In this paper, design fixation gets conceptually lifted to the levels of the organisation and the institution. We ask how the understanding of design fixation helps to achieve higher resource efficiency. Examples of organisational and institutional design fixations are presented. A System Dynamics model is used to simulate the impacts of design fixation on resource use of a sociotechnical laundry systems. Applying this lens suggests that in order to solve societal design fixations, systemic parameters like infrastructure, business models, or policies need to be considered design parameters. The simulation results show that high-level design fixations can have significant impact on resource use., Funding agencies: European Commission under the Horizon 2020 Marie Skłodowska Curie Action 2016, grant number 721909. The APC was funded by the Linköping University Library.

Design for sustainability needs to apply a societal perspective. The purpose of this paper is to combine the concept of design fixation with higher levels of analysis. Design fixation is used to describe a blind adherence to known concepts during the design process. It is used mostly at the micro level of design with the focus on the activities of an individual designer or a group of designers. In this paper, design fixation gets conceptually lifted to the levels of the organisation and the institution. We ask how the understanding of design fixation helps to achieve higher resource efficiency. Examples of organisational and institutional design fixations are presented. A System Dynamics model is used to simulate the impacts of design fixation on resource use of a sociotechnical laundry systems. Applying this lens suggests that in order to solve societal design fixations, systemic parameters like infrastructure, business models, or policies need to be considered design parameters. The simulation results show that high-level design fixations can have significant impact on resource use., Funding agencies: European Commission under the Horizon 2020 Marie Skłodowska Curie Action 2016, grant number 721909. The APC was funded by the Linköping University Library.

Design for sustainability needs to apply a societal perspective. The purpose of this paper is to combine the concept of design fixation with higher levels of analysis. Design fixation is used to describe a blind adherence to known concepts during the design process. It is used mostly at the micro level of design with the focus on the activities of an individual designer or a group of designers. In this paper, design fixation gets conceptually lifted to the levels of the organisation and the institution. We ask how the understanding of design fixation helps to achieve higher resource efficiency. Examples of organisational and institutional design fixations are presented. A System Dynamics model is used to simulate the impacts of design fixation on resource use of a sociotechnical laundry systems. Applying this lens suggests that in order to solve societal design fixations, systemic parameters like infrastructure, business models, or policies need to be considered design parameters. The simulation results show that high-level design fixations can have significant impact on resource use., Funding agencies: European Commission under the Horizon 2020 Marie Skłodowska Curie Action 2016, grant number 721909. The APC was funded by the Linköping University Library.

Unique digital circuit outputs, considered as physical unclonable function (PUF) circuit outputs, can facilitate a secure and reliable secret key agreement. To tackle noise and high correlations between the PUF circuit outputs, transform coding methods combined with scalar quantizers are typically applied to extract the uncorrelated bit sequences reliably. In this paper, we create realistic models for these transformed outputs by fitting truncated distributions to them. We also show that the state-of-the-art models are inadequate to guarantee a target reliability level for all PUF outputs, which also means that secrecy cannot be guaranteed. Therefore, we introduce a quality of security parameter to control the percentage of the PUF circuit outputs for which a target security level can be guaranteed. By applying the finite-length information theory results to a public ring oscillator output dataset, we illustrate that security guarantees can be provided for each bit extracted from any PUF device by eliminating only a small subset of PUF circuit outputs. Furthermore, we conversely show that it is not possible to provide reliability or security guarantees without eliminating any PUF circuit output. Our holistic methods and analyses can be applied to any PUF type, as well as any biometric secrecy system, with continuous-valued outputs to extract secret keys with low hardware complexity., Funding Agencies|ELLIIT funding; ZENITH Research and Leadership Career Development Fund; German Federal Ministry of Education and Research (BMBF) [16KISK001K, EXC 2050/1, 390696704]; U.S. National Science Foundation (NSF) [CNS-2128448, ECCS-2335876]

Packing products into a pallet or other medium is an unavoidable activity for producing companies. In many cases, packing is based on operator experience and training using packing patterns that have worked before. Automated packing, on the other hand, requires a systematic procedure for devising packing solutions. In the scientific literature, this problem is known as 3D bin packing (3DBP) and many authors have proposed exact and heuristic solutions for many variations of the problem. There is, however, a lack of datasets that can be used to test and validate such solutions. Many of the available datasets use randomly generated products with extremely limited connection to real practice. Furthermore, they contain a reduced number of product configurations and ignore that packing relates to customers orders, which have specific relative mixes of products. This paper proposes a software toolbox for generating arbitrarily large datasets for 3DBPP based on real industry data. The toolbox was developed in connection with the analysis of a real dataset from the food and beverages sector, which enabled the creation of several synthetic datasets. The toolbox and the synthetic datasets are publicly available and can be used to generate additional data for testing and validating 3DBP solutions. The industry is increasingly becoming data dependent and driven. The ability to generate good quality synthetic data to support the development of solutions to real industry problems is of extreme importance. This work is a step in that direction in a domain where open data are scarce., Funding Agencies|Strategic Innovation Program Produktion2030; Vinnova; Formas; Swedish Energy Agency [2021-01283]

This paper presents a theoretical study on the effects of selected defects (oxygen vacancies and substitutional Fe-Zn atoms) on the structural and electronic properties of a 2D ZnO/graphene heterostructure. Spin-polarized Hubbard- and dispersion-corrected density functional theory (DFT) was used to optimize the geometrical configurations of the heterostructure and to analyze the equilibrium distance, interlayer distance, adhesion energy, and bond lengths. Charge density difference (CDD) analysis and band structure calculations were also performed to study the electronic properties of the heterostructure. The results show that the presence of defects affects the interlayer distance and adhesion energy, with structures including oxygen vacancies and Fe-Zn substitutional atoms having the strongest interaction with graphene. It is demonstrated that the oxygen vacancies generate localized defect states in the ZnO bandgap and lead to a shift of both valence and conduction band positions, affecting the Schottky barrier. In contrast, Fe dopants induce strong spin polarization and high spin density localized on Fe atoms and their adjacent oxygen neighbors as well as the spin asymmetry of Schottky barriers in 2D ZnO/graphene. This study presents a comprehensive investigation into the effects of graphene on the electronic and adsorption properties of 2D ZnO/graphene heterostructures. The changes in electronic properties induced by oxygen vacancies and Fe dopants can enhance the sensitivity and catalytic activity of the 2D ZnO/graphene system, making it a promising material for sensing and catalytic applications., Funding Agencies|AForsk Foundation [21112]

Although several research studies have adopted specific energy consumption (SEC) as an indicator of the progress of improved energy efficiency, publications are scarce on critical assessments when using SEC. Given the increasing importance of monitoring improved industrial energy efficiency and the rising popularity of SEC as an energy key performance indicator (e-KPI), an in-depth analysis and problematization on the pros and cons of using SEC would appear to be needed. The aim of this article is to analyse SEC critically in relation to industrial energy efficiency. By using SEC in the pulp and paper industry as an example, the results of this exploratory study show that although SEC is often used as an e-KPI in industry, the comparison is not always straightforward. Challenges emanate from a lack of information about how SEC is calculated. It is likely that SEC is an optimal e-KPI within the same study, when all deployed SECs are calculated in the same way, and with the same underlying assumptions. However, before comparing SEC with other studies, it is recommended that the assumptions on which calculations are based should be scrutinized in order to ensure the validity of the comparisons. The paper remains an important contribution in addition to the available handbooks., Funding Agencies|Swedish Energy Agency [40537-1]; Swedish Environmental Protection Agency [802-0082-17]; Division of Energy Systems at the Department of Management and Engineering, Linkoping University

Although several research studies have adopted specific energy consumption (SEC) as an indicator of the progress of improved energy efficiency, publications are scarce on critical assessments when using SEC. Given the increasing importance of monitoring improved industrial energy efficiency and the rising popularity of SEC as an energy key performance indicator (e-KPI), an in-depth analysis and problematization on the pros and cons of using SEC would appear to be needed. The aim of this article is to analyse SEC critically in relation to industrial energy efficiency. By using SEC in the pulp and paper industry as an example, the results of this exploratory study show that although SEC is often used as an e-KPI in industry, the comparison is not always straightforward. Challenges emanate from a lack of information about how SEC is calculated. It is likely that SEC is an optimal e-KPI within the same study, when all deployed SECs are calculated in the same way, and with the same underlying assumptions. However, before comparing SEC with other studies, it is recommended that the assumptions on which calculations are based should be scrutinized in order to ensure the validity of the comparisons. The paper remains an important contribution in addition to the available handbooks., Funding Agencies|Swedish Energy Agency [40537-1]; Swedish Environmental Protection Agency [802-0082-17]; Division of Energy Systems at the Department of Management and Engineering, Linkoping University

Bangladesh faced a substantial growth in primary energy demand in the last few years. According to several studies, energy generation is not the only means to address energy demand; efficient energy management practices are also very critical. A pertinent contribution in the energy management at the industrial sector ensures the proper utilization of energy. Energy management and its efficiency in the textile industries of Bangladesh are studied in this paper. The outcomes demonstrate several barriers to energy management practices which are inadequate technical cost-effective measures, inadequate capital expenditure, and poor research and development. However, this study also demonstrates that the risk of high energy prices in the future, assistance from energy professionals, and an energy management scheme constitute the important drivers for the implementation of energy efficiency measures in the studied textile mills. The studied textile industries seem unaccustomed to the dedicated energy service company concept, and insufficient information regarding energy service companies (ESCOs) and the shortage of trained professionals in energy management seem to be the reasons behind this. This paper likewise finds that 3-4% energy efficiency improvements can be gained with the help of energy management practices in these industries.

Although several research studies have adopted specific energy consumption (SEC) as an indicator of the progress of improved energy efficiency, publications are scarce on critical assessments when using SEC. Given the increasing importance of monitoring improved industrial energy efficiency and the rising popularity of SEC as an energy key performance indicator (e-KPI), an in-depth analysis and problematization on the pros and cons of using SEC would appear to be needed. The aim of this article is to analyse SEC critically in relation to industrial energy efficiency. By using SEC in the pulp and paper industry as an example, the results of this exploratory study show that although SEC is often used as an e-KPI in industry, the comparison is not always straightforward. Challenges emanate from a lack of information about how SEC is calculated. It is likely that SEC is an optimal e-KPI within the same study, when all deployed SECs are calculated in the same way, and with the same underlying assumptions. However, before comparing SEC with other studies, it is recommended that the assumptions on which calculations are based should be scrutinized in order to ensure the validity of the comparisons. The paper remains an important contribution in addition to the available handbooks., Funding Agencies|Swedish Energy Agency [40537-1]; Swedish Environmental Protection Agency [802-0082-17]; Division of Energy Systems at the Department of Management and Engineering, Linkoping University

Although several research studies have adopted specific energy consumption (SEC) as an indicator of the progress of improved energy efficiency, publications are scarce on critical assessments when using SEC. Given the increasing importance of monitoring improved industrial energy efficiency and the rising popularity of SEC as an energy key performance indicator (e-KPI), an in-depth analysis and problematization on the pros and cons of using SEC would appear to be needed. The aim of this article is to analyse SEC critically in relation to industrial energy efficiency. By using SEC in the pulp and paper industry as an example, the results of this exploratory study show that although SEC is often used as an e-KPI in industry, the comparison is not always straightforward. Challenges emanate from a lack of information about how SEC is calculated. It is likely that SEC is an optimal e-KPI within the same study, when all deployed SECs are calculated in the same way, and with the same underlying assumptions. However, before comparing SEC with other studies, it is recommended that the assumptions on which calculations are based should be scrutinized in order to ensure the validity of the comparisons. The paper remains an important contribution in addition to the available handbooks., Funding Agencies|Swedish Energy Agency [40537-1]; Swedish Environmental Protection Agency [802-0082-17]; Division of Energy Systems at the Department of Management and Engineering, Linkoping University

Bangladesh faced a substantial growth in primary energy demand in the last few years. According to several studies, energy generation is not the only means to address energy demand; efficient energy management practices are also very critical. A pertinent contribution in the energy management at the industrial sector ensures the proper utilization of energy. Energy management and its efficiency in the textile industries of Bangladesh are studied in this paper. The outcomes demonstrate several barriers to energy management practices which are inadequate technical cost-effective measures, inadequate capital expenditure, and poor research and development. However, this study also demonstrates that the risk of high energy prices in the future, assistance from energy professionals, and an energy management scheme constitute the important drivers for the implementation of energy efficiency measures in the studied textile mills. The studied textile industries seem unaccustomed to the dedicated energy service company concept, and insufficient information regarding energy service companies (ESCOs) and the shortage of trained professionals in energy management seem to be the reasons behind this. This paper likewise finds that 3-4% energy efficiency improvements can be gained with the help of energy management practices in these industries.

Bangladesh faced a substantial growth in primary energy demand in the last few years. According to several studies, energy generation is not the only means to address energy demand; efficient energy management practices are also very critical. A pertinent contribution in the energy management at the industrial sector ensures the proper utilization of energy. Energy management and its efficiency in the textile industries of Bangladesh are studied in this paper. The outcomes demonstrate several barriers to energy management practices which are inadequate technical cost-effective measures, inadequate capital expenditure, and poor research and development. However, this study also demonstrates that the risk of high energy prices in the future, assistance from energy professionals, and an energy management scheme constitute the important drivers for the implementation of energy efficiency measures in the studied textile mills. The studied textile industries seem unaccustomed to the dedicated energy service company concept, and insufficient information regarding energy service companies (ESCOs) and the shortage of trained professionals in energy management seem to be the reasons behind this. This paper likewise finds that 3-4% energy efficiency improvements can be gained with the help of energy management practices in these industries.

Although several research studies have adopted specific energy consumption (SEC) as an indicator of the progress of improved energy efficiency, publications are scarce on critical assessments when using SEC. Given the increasing importance of monitoring improved industrial energy efficiency and the rising popularity of SEC as an energy key performance indicator (e-KPI), an in-depth analysis and problematization on the pros and cons of using SEC would appear to be needed. The aim of this article is to analyse SEC critically in relation to industrial energy efficiency. By using SEC in the pulp and paper industry as an example, the results of this exploratory study show that although SEC is often used as an e-KPI in industry, the comparison is not always straightforward. Challenges emanate from a lack of information about how SEC is calculated. It is likely that SEC is an optimal e-KPI within the same study, when all deployed SECs are calculated in the same way, and with the same underlying assumptions. However, before comparing SEC with other studies, it is recommended that the assumptions on which calculations are based should be scrutinized in order to ensure the validity of the comparisons. The paper remains an important contribution in addition to the available handbooks., Funding Agencies|Swedish Energy Agency [40537-1]; Swedish Environmental Protection Agency [802-0082-17]; Division of Energy Systems at the Department of Management and Engineering, Linkoping University

Bangladesh faced a substantial growth in primary energy demand in the last few years. According to several studies, energy generation is not the only means to address energy demand; efficient energy management practices are also very critical. A pertinent contribution in the energy management at the industrial sector ensures the proper utilization of energy. Energy management and its efficiency in the textile industries of Bangladesh are studied in this paper. The outcomes demonstrate several barriers to energy management practices which are inadequate technical cost-effective measures, inadequate capital expenditure, and poor research and development. However, this study also demonstrates that the risk of high energy prices in the future, assistance from energy professionals, and an energy management scheme constitute the important drivers for the implementation of energy efficiency measures in the studied textile mills. The studied textile industries seem unaccustomed to the dedicated energy service company concept, and insufficient information regarding energy service companies (ESCOs) and the shortage of trained professionals in energy management seem to be the reasons behind this. This paper likewise finds that 3-4% energy efficiency improvements can be gained with the help of energy management practices in these industries.

Bangladesh faced a substantial growth in primary energy demand in the last few years. According to several studies, energy generation is not the only means to address energy demand; efficient energy management practices are also very critical. A pertinent contribution in the energy management at the industrial sector ensures the proper utilization of energy. Energy management and its efficiency in the textile industries of Bangladesh are studied in this paper. The outcomes demonstrate several barriers to energy management practices which are inadequate technical cost-effective measures, inadequate capital expenditure, and poor research and development. However, this study also demonstrates that the risk of high energy prices in the future, assistance from energy professionals, and an energy management scheme constitute the important drivers for the implementation of energy efficiency measures in the studied textile mills. The studied textile industries seem unaccustomed to the dedicated energy service company concept, and insufficient information regarding energy service companies (ESCOs) and the shortage of trained professionals in energy management seem to be the reasons behind this. This paper likewise finds that 3-4% energy efficiency improvements can be gained with the help of energy management practices in these industries.

Although several research studies have adopted specific energy consumption (SEC) as an indicator of the progress of improved energy efficiency, publications are scarce on critical assessments when using SEC. Given the increasing importance of monitoring improved industrial energy efficiency and the rising popularity of SEC as an energy key performance indicator (e-KPI), an in-depth analysis and problematization on the pros and cons of using SEC would appear to be needed. The aim of this article is to analyse SEC critically in relation to industrial energy efficiency. By using SEC in the pulp and paper industry as an example, the results of this exploratory study show that although SEC is often used as an e-KPI in industry, the comparison is not always straightforward. Challenges emanate from a lack of information about how SEC is calculated. It is likely that SEC is an optimal e-KPI within the same study, when all deployed SECs are calculated in the same way, and with the same underlying assumptions. However, before comparing SEC with other studies, it is recommended that the assumptions on which calculations are based should be scrutinized in order to ensure the validity of the comparisons. The paper remains an important contribution in addition to the available handbooks., Funding Agencies|Swedish Energy Agency [40537-1]; Swedish Environmental Protection Agency [802-0082-17]; Division of Energy Systems at the Department of Management and Engineering, Linkoping University

As farm animal welfare becomes an increasingly important component of contemporary global livestock production, animal welfare science and animal welfare policy-making need to find new ways of entering global debates over food security and sustainability. In this paper, we explore the means by which both animal welfare science and policy should articulate with these emerging global debates. Having first established the important gains in animal welfare policy and the maturity of animal welfare science, we identify and explore the potential impact of these current debates and argue that they have the potential for profound change in our understanding of, and our response to, the welfare of animals. We conclude the paper with a number of possible recommendations for how a scientifically informed, sustainable animal welfare policy might flourish., Funding Agencies|Swedish Centre for Excellence in Animal Welfare Science

As farm animal welfare becomes an increasingly important component of contemporary global livestock production, animal welfare science and animal welfare policy-making need to find new ways of entering global debates over food security and sustainability. In this paper, we explore the means by which both animal welfare science and policy should articulate with these emerging global debates. Having first established the important gains in animal welfare policy and the maturity of animal welfare science, we identify and explore the potential impact of these current debates and argue that they have the potential for profound change in our understanding of, and our response to, the welfare of animals. We conclude the paper with a number of possible recommendations for how a scientifically informed, sustainable animal welfare policy might flourish., Funding Agencies|Swedish Centre for Excellence in Animal Welfare Science

As farm animal welfare becomes an increasingly important component of contemporary global livestock production, animal welfare science and animal welfare policy-making need to find new ways of entering global debates over food security and sustainability. In this paper, we explore the means by which both animal welfare science and policy should articulate with these emerging global debates. Having first established the important gains in animal welfare policy and the maturity of animal welfare science, we identify and explore the potential impact of these current debates and argue that they have the potential for profound change in our understanding of, and our response to, the welfare of animals. We conclude the paper with a number of possible recommendations for how a scientifically informed, sustainable animal welfare policy might flourish., Funding Agencies|Swedish Centre for Excellence in Animal Welfare Science

As farm animal welfare becomes an increasingly important component of contemporary global livestock production, animal welfare science and animal welfare policy-making need to find new ways of entering global debates over food security and sustainability. In this paper, we explore the means by which both animal welfare science and policy should articulate with these emerging global debates. Having first established the important gains in animal welfare policy and the maturity of animal welfare science, we identify and explore the potential impact of these current debates and argue that they have the potential for profound change in our understanding of, and our response to, the welfare of animals. We conclude the paper with a number of possible recommendations for how a scientifically informed, sustainable animal welfare policy might flourish., Funding Agencies|Swedish Centre for Excellence in Animal Welfare Science

As farm animal welfare becomes an increasingly important component of contemporary global livestock production, animal welfare science and animal welfare policy-making need to find new ways of entering global debates over food security and sustainability. In this paper, we explore the means by which both animal welfare science and policy should articulate with these emerging global debates. Having first established the important gains in animal welfare policy and the maturity of animal welfare science, we identify and explore the potential impact of these current debates and argue that they have the potential for profound change in our understanding of, and our response to, the welfare of animals. We conclude the paper with a number of possible recommendations for how a scientifically informed, sustainable animal welfare policy might flourish., Funding Agencies|Swedish Centre for Excellence in Animal Welfare Science

In markets with strict emission legislations Selective Catalytic Reduction (SCR) has become the industry standard for NOx abatement in heavy-duty vehicles, and therefore modeling and control of these systems are vital. Many SCR catalyst models are available in the literature and in this paper different models are discussed and classified into groups. Two models, based on the two most popular classes for control-oriented models, are implemented and compared with each other, one based on the continuously stirred-tank reactor approximation, and the other on a quasi-static behavior of the gas phase. The results show that assuming a quasi-static behavior of the gas phase in the catalyst gives better results in terms of accuracy and simulation time, especially when it comes to predictions of ammonia slip., Funding Agencies|Swedish Electromobility Center

Water-cycle algorithm based on evaporation rate (ErWCA) is a powerful enhanced version of the water-cycle algorithm (WCA) metaheuristics algorithm. ErWCA, like other algorithms, may still fall in the sub-optimal region and have a slow convergence, especially in high-dimensional tasks problems. This paper suggests an enhanced ErWCA (EErWCA) version, which embeds local escaping operator (LEO) as an internal operator in the updating process. ErWCA also uses a control-randomization operator. To verify this version, a comparison between EErWCA and other algorithms, namely, classical ErWCA, water cycle algorithm (WCA), butterfly optimization algorithm (BOA), bird swarm algorithm (BSA), crow search algorithm (CSA), grasshopper optimization algorithm (GOA), Harris Hawks Optimization (HHO), whale optimization algorithm (WOA), dandelion optimizer (DO) and fire hawks optimization (FHO) using IEEE CEC 2017, was performed. The experimental and analytical results show the adequate performance of the proposed algorithm.

Establishing interoperability is an essential aspect of the often-pursued shift towards Model-Based Systems Engineering (MBSE) in, for example, aircraft development. If models are to be the primary information carriers during development, the applied methods to enable interaction between engineering domains need to be modular, reusable, and scalable. Given the long life cycles and often large and heterogeneous development organizations in the aircraft industry, a piece to the overall solution could be to rely on open standards and tools. In this paper, the standards Functional Mock-up Interface (FMI) and System Structure and Parameterization (SSP) are exploited to exchange data between the disciplines of systems simulation and geometry modeling. A method to export data from the 3D Computer Aided Design (CAD) Software (SW) CATIA in the SSP format is developed and presented. Analogously, FMI support of the Modeling & Simulation (M&S) tools OMSimulator, OpenModelica, and Dymola is utilized along with the SSP support of OMSimulator. The developed technology is put into context by means of integration with the M&S methodology for aircraft vehicle system development deployed at Saab Aeronautics. Finally, the established interoperability is demonstrated on two different industrially relevant application examples addressing varying aspects of complexity. A primary goal of the research is to prototype and demonstrate functionality, enabled by the SSP and FMI standards, that could improve on MBSE methodology implemented in industry and academia., Funding Agencies|Saab Aeronautics [10.13039/501100001858, 2019-02386]; Vinnova

The Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates the hunting behavior of hawks. This swarm-based optimizer performs the optimization procedure using a novel way of exploration and exploitation and the multiphases of search. In this review research, we focused on the applications and developments of the recent well-established robust optimizer Harris hawk optimizer (HHO) as one of the most popular swarm-based techniques of 2020. Moreover, several experiments were carried out to prove the powerfulness and effectivness of HHO compared with nine other state-of-art algorithms using Congress on Evolutionary Computation (CEC2005) and CEC2017. The literature review paper includes deep insight about possible future directions and possible ideas worth investigations regarding the new variants of the HHO algorithm and its widespread applications., Funding Agencies|Deanship of Scientific Research at Umm Al-Qura University [22UQU4320277DSR07]

This paper presents the development and implementation of a reinforcement learning agent as the mode selector for a multi-chamber actuator in a load-sensing architecture. The agent selects the mode of the actuator to minimise system energy losses. The agent was trained in a simulated environment and afterwards deployed to the real system. Simulation results indicated the capability of the agent to reduce energy consumption, while maintaining the actuation performance. Experimental results showed the capability of the agent to learn via simulation and to control the real system., Funding Agencies|Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES); Brazilian National Council for Scientific and Technological Development (CNPq); Swedish Energy Agency (Energimyndigheten)

A key purpose of a Supervisory Control and Data Acquisition (SCADA) system is to enable either an on-site or remote supervisory control and monitoring of physical processes of various natures. In order for a SCADA system to operate safely and securely, a wide range of experts with diverse backgrounds must work in close rapport. It is critical to have an overall view of an entire system at a high level of abstraction which is accessible to all experts involved, and which assists with gauging and assessing risks to the system. Furthermore, a SCADA system is composed of a large number of interconnected technical and non-technical sub-elements, and it is crucial to capture the dependencies between these sub-elements for a comprehensive and rigorous risk assessment. In this paper, we present a generic configurable dependency model of a SCADA system which captures complex dependencies within a system and facilitates goal-oriented risk assessment. The model was developed by collecting and analysing the understanding of the dependencies within a SCADA system from 36 domain experts. We describe a methodology followed for developing the dependency model, present an illustrative example where the generic dependency model is configured for a SCADA system controlling water distribution, and outline an exemplary risk assessment process based on it., Funding Agencies|Airbus Group Endeavr Wales scheme under the SCADA Cyber Security Life-cycle (SCADA-CSL) programme; Swedish Civil Contingencies Agency (MSB)Dataset License: CC-BY-NC

Remora Optimization Algorithm (ROA) is a recent population-based algorithm that mimics the intelligent traveler behavior of Remora. However, the performance of ROA is barely satisfactory; it may be stuck in local optimal regions or has a slow convergence, especially in high dimensional complicated problems. To overcome these limitations, this paper develops an improved version of ROA called Enhanced ROA (EROA) using three different techniques: adaptive dynamic probability, SFO with Levy flight, and restart strategy. The performance of EROA is tested using two different benchmarks and seven real-world engineering problems. The statistical analysis and experimental results show the efficiency of EROA., Funding Agencies|Sanming University Introduces High-level Talents to Start Scientific Research Funding Support Project [20YG01, 20YG14]; Guiding Science and Technology Projects in Sanming City [2020-S-39]; Educational Research Projects of Young and Middle-aged Teachers in Fujian Province [JAT200638]; Scientific Research and Development Fund of Sanming University [B202029]; School level education and teaching reform project of Sanming University [J2010306]; Fujian Natural Science Foundation Project [2021J011128]; Sanming University National Natural Science Foundation Breeding Project [PYT2105]; Higher education research project of Sanming University [SHE2102]; 2021 project of the 14th Five-year Plan of Education science in Fujian Province [FJJKBK21-138]

Water-cycle algorithm based on evaporation rate (ErWCA) is a powerful enhanced version of the water-cycle algorithm (WCA) metaheuristics algorithm. ErWCA, like other algorithms, may still fall in the sub-optimal region and have a slow convergence, especially in high-dimensional tasks problems. This paper suggests an enhanced ErWCA (EErWCA) version, which embeds local escaping operator (LEO) as an internal operator in the updating process. ErWCA also uses a control-randomization operator. To verify this version, a comparison between EErWCA and other algorithms, namely, classical ErWCA, water cycle algorithm (WCA), butterfly optimization algorithm (BOA), bird swarm algorithm (BSA), crow search algorithm (CSA), grasshopper optimization algorithm (GOA), Harris Hawks Optimization (HHO), whale optimization algorithm (WOA), dandelion optimizer (DO) and fire hawks optimization (FHO) using IEEE CEC 2017, was performed. The experimental and analytical results show the adequate performance of the proposed algorithm.

In markets with strict emission legislations Selective Catalytic Reduction (SCR) has become the industry standard for NOx abatement in heavy-duty vehicles, and therefore modeling and control of these systems are vital. Many SCR catalyst models are available in the literature and in this paper different models are discussed and classified into groups. Two models, based on the two most popular classes for control-oriented models, are implemented and compared with each other, one based on the continuously stirred-tank reactor approximation, and the other on a quasi-static behavior of the gas phase. The results show that assuming a quasi-static behavior of the gas phase in the catalyst gives better results in terms of accuracy and simulation time, especially when it comes to predictions of ammonia slip., Funding Agencies|Swedish Electromobility Center

Establishing interoperability is an essential aspect of the often-pursued shift towards Model-Based Systems Engineering (MBSE) in, for example, aircraft development. If models are to be the primary information carriers during development, the applied methods to enable interaction between engineering domains need to be modular, reusable, and scalable. Given the long life cycles and often large and heterogeneous development organizations in the aircraft industry, a piece to the overall solution could be to rely on open standards and tools. In this paper, the standards Functional Mock-up Interface (FMI) and System Structure and Parameterization (SSP) are exploited to exchange data between the disciplines of systems simulation and geometry modeling. A method to export data from the 3D Computer Aided Design (CAD) Software (SW) CATIA in the SSP format is developed and presented. Analogously, FMI support of the Modeling & Simulation (M&S) tools OMSimulator, OpenModelica, and Dymola is utilized along with the SSP support of OMSimulator. The developed technology is put into context by means of integration with the M&S methodology for aircraft vehicle system development deployed at Saab Aeronautics. Finally, the established interoperability is demonstrated on two different industrially relevant application examples addressing varying aspects of complexity. A primary goal of the research is to prototype and demonstrate functionality, enabled by the SSP and FMI standards, that could improve on MBSE methodology implemented in industry and academia., Funding Agencies|Saab Aeronautics [10.13039/501100001858, 2019-02386]; Vinnova

The Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates the hunting behavior of hawks. This swarm-based optimizer performs the optimization procedure using a novel way of exploration and exploitation and the multiphases of search. In this review research, we focused on the applications and developments of the recent well-established robust optimizer Harris hawk optimizer (HHO) as one of the most popular swarm-based techniques of 2020. Moreover, several experiments were carried out to prove the powerfulness and effectivness of HHO compared with nine other state-of-art algorithms using Congress on Evolutionary Computation (CEC2005) and CEC2017. The literature review paper includes deep insight about possible future directions and possible ideas worth investigations regarding the new variants of the HHO algorithm and its widespread applications., Funding Agencies|Deanship of Scientific Research at Umm Al-Qura University [22UQU4320277DSR07]

This paper presents the development and implementation of a reinforcement learning agent as the mode selector for a multi-chamber actuator in a load-sensing architecture. The agent selects the mode of the actuator to minimise system energy losses. The agent was trained in a simulated environment and afterwards deployed to the real system. Simulation results indicated the capability of the agent to reduce energy consumption, while maintaining the actuation performance. Experimental results showed the capability of the agent to learn via simulation and to control the real system., Funding Agencies|Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES); Brazilian National Council for Scientific and Technological Development (CNPq); Swedish Energy Agency (Energimyndigheten)

A key purpose of a Supervisory Control and Data Acquisition (SCADA) system is to enable either an on-site or remote supervisory control and monitoring of physical processes of various natures. In order for a SCADA system to operate safely and securely, a wide range of experts with diverse backgrounds must work in close rapport. It is critical to have an overall view of an entire system at a high level of abstraction which is accessible to all experts involved, and which assists with gauging and assessing risks to the system. Furthermore, a SCADA system is composed of a large number of interconnected technical and non-technical sub-elements, and it is crucial to capture the dependencies between these sub-elements for a comprehensive and rigorous risk assessment. In this paper, we present a generic configurable dependency model of a SCADA system which captures complex dependencies within a system and facilitates goal-oriented risk assessment. The model was developed by collecting and analysing the understanding of the dependencies within a SCADA system from 36 domain experts. We describe a methodology followed for developing the dependency model, present an illustrative example where the generic dependency model is configured for a SCADA system controlling water distribution, and outline an exemplary risk assessment process based on it., Funding Agencies|Airbus Group Endeavr Wales scheme under the SCADA Cyber Security Life-cycle (SCADA-CSL) programme; Swedish Civil Contingencies Agency (MSB)Dataset License: CC-BY-NC

Micro-Electro-Mechanical Systems (MEMS) acoustic transducers are highly sophisticated devices with high sensing performance, small size, and low power consumption. To be applied in an implantable medical device, they require a customized packaging solution with a protecting shell, usually made from titanium (Ti), to fulfill biocompatibility and hermeticity requirements. To allow acoustic sound to be transferred between the surroundings and the hermetically sealed MEMS transducer, a compliant diaphragm element needs to be integrated into the protecting enclosure. In this paper, we present a novel fabrication technology for clamped micron-thick Ti diaphragms that can be applied on arbitrary 3D substrate geometry and hence directly integrated into the packaging structure. Stiffness measurements on various diaphragm samples illustrate that the technology enables a significant reduction of residual stress in the diaphragm developed during its deposition on a polymer sacrificial material.

The Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates the hunting behavior of hawks. This swarm-based optimizer performs the optimization procedure using a novel way of exploration and exploitation and the multiphases of search. In this review research, we focused on the applications and developments of the recent well-established robust optimizer Harris hawk optimizer (HHO) as one of the most popular swarm-based techniques of 2020. Moreover, several experiments were carried out to prove the powerfulness and effectivness of HHO compared with nine other state-of-art algorithms using Congress on Evolutionary Computation (CEC2005) and CEC2017. The literature review paper includes deep insight about possible future directions and possible ideas worth investigations regarding the new variants of the HHO algorithm and its widespread applications., Funding Agencies|Deanship of Scientific Research at Umm Al-Qura University [22UQU4320277DSR07]

This paper presents the development and implementation of a reinforcement learning agent as the mode selector for a multi-chamber actuator in a load-sensing architecture. The agent selects the mode of the actuator to minimise system energy losses. The agent was trained in a simulated environment and afterwards deployed to the real system. Simulation results indicated the capability of the agent to reduce energy consumption, while maintaining the actuation performance. Experimental results showed the capability of the agent to learn via simulation and to control the real system., Funding Agencies|Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES); Brazilian National Council for Scientific and Technological Development (CNPq); Swedish Energy Agency (Energimyndigheten)

A key purpose of a Supervisory Control and Data Acquisition (SCADA) system is to enable either an on-site or remote supervisory control and monitoring of physical processes of various natures. In order for a SCADA system to operate safely and securely, a wide range of experts with diverse backgrounds must work in close rapport. It is critical to have an overall view of an entire system at a high level of abstraction which is accessible to all experts involved, and which assists with gauging and assessing risks to the system. Furthermore, a SCADA system is composed of a large number of interconnected technical and non-technical sub-elements, and it is crucial to capture the dependencies between these sub-elements for a comprehensive and rigorous risk assessment. In this paper, we present a generic configurable dependency model of a SCADA system which captures complex dependencies within a system and facilitates goal-oriented risk assessment. The model was developed by collecting and analysing the understanding of the dependencies within a SCADA system from 36 domain experts. We describe a methodology followed for developing the dependency model, present an illustrative example where the generic dependency model is configured for a SCADA system controlling water distribution, and outline an exemplary risk assessment process based on it., Funding Agencies|Airbus Group Endeavr Wales scheme under the SCADA Cyber Security Life-cycle (SCADA-CSL) programme; Swedish Civil Contingencies Agency (MSB)Dataset License: CC-BY-NC

The Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates the hunting behavior of hawks. This swarm-based optimizer performs the optimization procedure using a novel way of exploration and exploitation and the multiphases of search. In this review research, we focused on the applications and developments of the recent well-established robust optimizer Harris hawk optimizer (HHO) as one of the most popular swarm-based techniques of 2020. Moreover, several experiments were carried out to prove the powerfulness and effectivness of HHO compared with nine other state-of-art algorithms using Congress on Evolutionary Computation (CEC2005) and CEC2017. The literature review paper includes deep insight about possible future directions and possible ideas worth investigations regarding the new variants of the HHO algorithm and its widespread applications., Funding Agencies|Deanship of Scientific Research at Umm Al-Qura University [22UQU4320277DSR07]

This paper presents the development and implementation of a reinforcement learning agent as the mode selector for a multi-chamber actuator in a load-sensing architecture. The agent selects the mode of the actuator to minimise system energy losses. The agent was trained in a simulated environment and afterwards deployed to the real system. Simulation results indicated the capability of the agent to reduce energy consumption, while maintaining the actuation performance. Experimental results showed the capability of the agent to learn via simulation and to control the real system., Funding Agencies|Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES); Brazilian National Council for Scientific and Technological Development (CNPq); Swedish Energy Agency (Energimyndigheten)

A key purpose of a Supervisory Control and Data Acquisition (SCADA) system is to enable either an on-site or remote supervisory control and monitoring of physical processes of various natures. In order for a SCADA system to operate safely and securely, a wide range of experts with diverse backgrounds must work in close rapport. It is critical to have an overall view of an entire system at a high level of abstraction which is accessible to all experts involved, and which assists with gauging and assessing risks to the system. Furthermore, a SCADA system is composed of a large number of interconnected technical and non-technical sub-elements, and it is crucial to capture the dependencies between these sub-elements for a comprehensive and rigorous risk assessment. In this paper, we present a generic configurable dependency model of a SCADA system which captures complex dependencies within a system and facilitates goal-oriented risk assessment. The model was developed by collecting and analysing the understanding of the dependencies within a SCADA system from 36 domain experts. We describe a methodology followed for developing the dependency model, present an illustrative example where the generic dependency model is configured for a SCADA system controlling water distribution, and outline an exemplary risk assessment process based on it., Funding Agencies|Airbus Group Endeavr Wales scheme under the SCADA Cyber Security Life-cycle (SCADA-CSL) programme; Swedish Civil Contingencies Agency (MSB)Dataset License: CC-BY-NC

There is growing interest in using electric motors as prime movers in mobile hydraulic systems. This increases the interest in so-called pump-controlled systems, where each actuator has its own drive unit. Such architectures are primarily appealing in applications where energy efficiency is important and electric recuperation is relevant. An issue with pump-controlled systems is, however, mode-switch oscillations which can appear when the pressure levels in the system are close to the switching condition. In this paper, the mode-switching behavior of different generalized closed and open circuit configurations is investigated. The results show that the choice of where to sense the pressures has a huge impact on the behavior. They also show that, if the pressure sensing components are properly placed, closed and open circuits can perform very similarly, but that mode-switch oscillations still can occur in all circuits. Active hysteresis control is suggested as a solution and its effectiveness is analyzed. The outcome from the analysis shows that active hysteresis control can reduce the risk for mode-switch oscillations significantly., Funding: Swedish Energy AgencySwedish Energy AgencyMaterials & Energy Research Center (MERC) [44427-3]

Establishing interoperability is an essential aspect of the often-pursued shift towards Model-Based Systems Engineering (MBSE) in, for example, aircraft development. If models are to be the primary information carriers during development, the applied methods to enable interaction between engineering domains need to be modular, reusable, and scalable. Given the long life cycles and often large and heterogeneous development organizations in the aircraft industry, a piece to the overall solution could be to rely on open standards and tools. In this paper, the standards Functional Mock-up Interface (FMI) and System Structure and Parameterization (SSP) are exploited to exchange data between the disciplines of systems simulation and geometry modeling. A method to export data from the 3D Computer Aided Design (CAD) Software (SW) CATIA in the SSP format is developed and presented. Analogously, FMI support of the Modeling & Simulation (M&S) tools OMSimulator, OpenModelica, and Dymola is utilized along with the SSP support of OMSimulator. The developed technology is put into context by means of integration with the M&S methodology for aircraft vehicle system development deployed at Saab Aeronautics. Finally, the established interoperability is demonstrated on two different industrially relevant application examples addressing varying aspects of complexity. A primary goal of the research is to prototype and demonstrate functionality, enabled by the SSP and FMI standards, that could improve on MBSE methodology implemented in industry and academia., Funding Agencies|Saab Aeronautics [10.13039/501100001858, 2019-02386]; Vinnova

Water-cycle algorithm based on evaporation rate (ErWCA) is a powerful enhanced version of the water-cycle algorithm (WCA) metaheuristics algorithm. ErWCA, like other algorithms, may still fall in the sub-optimal region and have a slow convergence, especially in high-dimensional tasks problems. This paper suggests an enhanced ErWCA (EErWCA) version, which embeds local escaping operator (LEO) as an internal operator in the updating process. ErWCA also uses a control-randomization operator. To verify this version, a comparison between EErWCA and other algorithms, namely, classical ErWCA, water cycle algorithm (WCA), butterfly optimization algorithm (BOA), bird swarm algorithm (BSA), crow search algorithm (CSA), grasshopper optimization algorithm (GOA), Harris Hawks Optimization (HHO), whale optimization algorithm (WOA), dandelion optimizer (DO) and fire hawks optimization (FHO) using IEEE CEC 2017, was performed. The experimental and analytical results show the adequate performance of the proposed algorithm.

In markets with strict emission legislations Selective Catalytic Reduction (SCR) has become the industry standard for NOx abatement in heavy-duty vehicles, and therefore modeling and control of these systems are vital. Many SCR catalyst models are available in the literature and in this paper different models are discussed and classified into groups. Two models, based on the two most popular classes for control-oriented models, are implemented and compared with each other, one based on the continuously stirred-tank reactor approximation, and the other on a quasi-static behavior of the gas phase. The results show that assuming a quasi-static behavior of the gas phase in the catalyst gives better results in terms of accuracy and simulation time, especially when it comes to predictions of ammonia slip., Funding Agencies|Swedish Electromobility Center

Establishing interoperability is an essential aspect of the often-pursued shift towards Model-Based Systems Engineering (MBSE) in, for example, aircraft development. If models are to be the primary information carriers during development, the applied methods to enable interaction between engineering domains need to be modular, reusable, and scalable. Given the long life cycles and often large and heterogeneous development organizations in the aircraft industry, a piece to the overall solution could be to rely on open standards and tools. In this paper, the standards Functional Mock-up Interface (FMI) and System Structure and Parameterization (SSP) are exploited to exchange data between the disciplines of systems simulation and geometry modeling. A method to export data from the 3D Computer Aided Design (CAD) Software (SW) CATIA in the SSP format is developed and presented. Analogously, FMI support of the Modeling & Simulation (M&S) tools OMSimulator, OpenModelica, and Dymola is utilized along with the SSP support of OMSimulator. The developed technology is put into context by means of integration with the M&S methodology for aircraft vehicle system development deployed at Saab Aeronautics. Finally, the established interoperability is demonstrated on two different industrially relevant application examples addressing varying aspects of complexity. A primary goal of the research is to prototype and demonstrate functionality, enabled by the SSP and FMI standards, that could improve on MBSE methodology implemented in industry and academia., Funding Agencies|Saab Aeronautics [10.13039/501100001858, 2019-02386]; Vinnova