Hasil untuk "Industrial hygiene. Industrial welfare"

Christophe Ponsard, Abiola Paterne Chokki, Jean-François Daune

Cyber-Physical Systems (CPS) play a critical role in modern industrial domains, including manufacturing, energy, transportation, and healthcare, where they enable automation, optimization, and real-time decision-making. Ensuring the robustness of these systems is paramount, as failures can have significant economic, operational, and safety consequences. This paper present findings from an industrial survey conducted in Wallonia, covering a wide range of sectors, to assess the current state of practice in CPS robustness. It investigates robustness from how it is understood and applied in relationship with requirements engineering, system design, test execution, failure modes, and available tools. It identifies key challenges and gaps between industry practices and state-of-the-art methodologies. Additionally, it compares our findings with similar industrial surveys from the literature.

Magdalini Christodoulou, Ourania S. Kotsiou, Konstantinos Tsaras et al.

<b>Background</b>: In September 2023, Storm Daniel triggered catastrophic flooding across Thessaly, in central Greece, leading to the deaths of approximately 483,476 animals and heightening concerns about zoonotic diseases, particularly Q fever caused by <i>Coxiella burnetii</i>. Sofades, a municipality in the Karditsa region that is severely impacted by the floods, emerged as a critical area for evaluating the risk of zoonotic disease transmission. This study aimed to determine the seroprevalence status of <i>Coxiella burnetii</i> Phase 1 IgA antibodies among residents in the rural area of Sofades after the Daniel floods. <b>Methods</b>: Serum samples were obtained from a convenient sample of residents with livestock exposure between 1 March and 31 March 2024. Enzyme-linked immunosorbent assay (ELISA) was used to detect <i>Coxiella burnetii</i> Phase 1 IgA antibodies. Descriptive analyses summarized demographic data, and logistic regression was employed to examine the association between gender, age, and positive ELISA results. <b>Results</b>: The overall seroprevalence was 16.66%. Males had a significantly higher positivity rate (28.57%) than females (6.25%). Seropositivity was more frequent among individuals aged 41–80 years, with peak prevalence observed in the 61–80 age group. <b>Conclusions</b>: This cross-sectional study offers a snapshot of <i>Coxiella burnetii</i> exposure in a high-risk rural population post-flood. The slightly higher seroprevalence in Sofades (16.66%) compared to Karditsa (16.1%) suggests limited influence of environmental factors on transmission. Despite limitations in causal inference, the findings highlight the need for enhanced surveillance and targeted public health measures. Longitudinal studies are needed to assess the long-term impact of environmental disasters on Q fever dynamics.

Ruimin Ma, Sebastian Zudaire, Zhen Li et al.

Object 6DoF (6D) pose estimation is essential for robotic perception, especially in industrial settings. It enables robots to interact with the environment and manipulate objects. However, existing benchmarks on object 6D pose estimation primarily use everyday objects with rich textures and low-reflectivity, limiting model generalization to industrial scenarios where objects are often metallic, texture-less, and highly reflective. To address this gap, we propose a novel dataset and benchmark namely \textit{Industrial Metallic Dataset (IMD)}, tailored for industrial applications. Our dataset comprises 45 true-to-scale industrial components, captured with an RGB-D camera under natural indoor lighting and varied object arrangements to replicate real-world conditions. The benchmark supports three tasks, including video object segmentation, 6D pose tracking, and one-shot 6D pose estimation. We evaluate existing state-of-the-art models, including XMem and SAM2 for segmentation, and BundleTrack and BundleSDF for pose estimation, to assess model performance in industrial contexts. Evaluation results show that our industrial dataset is more challenging than existing household object datasets. This benchmark provides the baseline for developing and comparing segmentation and pose estimation algorithms that better generalize to industrial robotics scenarios.

Bo Wu

In order to explore whether environmental liability insurance has an important impact on industrial emission reduction, this paper selects provincial (city) level panel data from 2010 to 2020 and constructs a two-way fixed effect model to analyze the impact of environmental liability insurance on carbon emissions from both direct and indirect levels. The empirical analysis results show that: at the direct level, the development of environmental liability insurance has the effect of reducing industrial carbon emissions, and its effect is heterogeneous. At the indirect level, the role of environmental liability insurance is weaker in areas with developed financial industry and underdeveloped financial industry. Further heterogeneity analysis shows that in the industrial developed areas, the effect of environmental liability insurance on carbon emissions is more obvious. Based on this, countermeasures and suggestions are put forward from the aspects of expanding the coverage of environmental liability insurance, innovating the development of environmental liability insurance and improving the level of industrialization.

Lisa MF Janssen, Frauke Lemaire, Nora Fopke Marain et al.

Abstract Background Inhalation of airborne particulate matter, such as silica and diesel exhaust particles, poses serious long-term respiratory and systemic health risks. Silica exposure can lead to silicosis and systemic autoimmune diseases, while DEP exposure is linked to asthma and cancer. Combined exposure to silica and DEP, common in mining, may have more severe effects. This study investigates the separate and combined effects of occupational-level silica and ambient-level DEP on lung injury, inflammation, and autoantibody formation in two genetically distinct mouse strains, thereby aiming at understanding the interplay between genetic susceptibility, particulate exposure, and disease outcomes. Silica and diesel exhaust particles were administered to mice via oropharyngeal aspiration. Assessments of lung injury and host response included in vivo lung micro-computed tomography, lung function tests, bronchoalveolar lavage fluid analysis including inflammatory cytokines and antinuclear antibodies, and histopathology with particle colocalization. Results The findings highlight the distinct effects of silica and diesel exhaust particles (DEP) on lung injury, inflammation, and autoantibody formation in C57BL/6J and NOD/ShiLtJ mice. Silica exposure elicited a well-established inflammatory response marked by inflammatory infiltrates, release of cytokines, and chemokines, alongside mild fibrosis, indicated by collagen deposition in the lungs of both C57BL/6J and NOD/ShilLtJ mice. Notably, these strains exhibited divergent responses in terms of respiratory function and lung volumes, as assessed through micro-computed tomography. Additionally, silica exposure induced airway hyperreactivity and elevated antinuclear antibody levels in bronchoalveolar lavage fluid, particularly prominent in NOD/ShiLtJ mice. Moreover, antinuclear antibodies correlated with extent of lung inflammation in NOD/ShiLTJ mice. Lung tissue analysis revealed DEP loaded macrophages and co-localization of silica and DEP particles. However, aside from contributing to airway hyperreactivity specifically in NOD/ShiLtJ mice, the ambient-level DEP did not significantly amplify the effects induced by silica. There was no evidence of synergistic or additive interaction between these specific doses of silica and DEP in inducing lung damage or inflammation in either of the mouse strains. Conclusion Mouse strain variations exerted a substantial influence on the development of silica induced lung alterations. Furthermore, the additional impact of ambient-level DEP on these silica-induced effects was minimal.

Markus Voggenreiter, Florian Angermeir, Fabiola Moyón et al.

In recent years, DevOps, the unification of development and operation workflows, has become a trend for the industrial software development lifecycle. Security activities turned into an essential field of application for DevOps principles as they are a fundamental part of secure software development in the industry. A common practice arising from this trend is the automation of security tests that analyze a software product from several perspectives. To effectively improve the security of the analyzed product, the identified security findings must be managed and looped back to the project team for stakeholders to take action. This management must cope with several challenges ranging from low data quality to a consistent prioritization of findings while following DevOps aims. To manage security findings with the same efficiency as other activities in DevOps projects, a methodology for the management of industrial security findings minding DevOps principles is essential. In this paper, we propose a methodology for the management of security findings in industrial DevOps projects, summarizing our research in this domain and presenting the resulting artifact. As an instance of the methodology, we developed the Security Flama, a semantic knowledge base for the automated management of security findings. To analyze the impact of our methodology on industrial practice, we performed a case study on two DevOps projects of a multinational industrial enterprise. The results emphasize the importance of using such an automated methodology in industrial DevOps projects, confirm our approach's usefulness and positive impact on the studied projects, and identify the communication strategy as a crucial factor for usability in practice.

Lennon Ó Náraigh

We introduce two models of industrial drying - a simplified one-equation model, and a detailed three-equation model. The purpose of the simplified model is rigorous validation of numerical methods for PDE-constrained optimal control. The purpose of the detailed model is to be able to predict and control the behaviour of an industrial disk drier. For both models, we introduce a fully validated numerical method to compute the optimal source term to maintain the outlet temperature as close as possible to the set-point temperature. By performing simulations using realistic parameters for industrial driers, we illustrate potential applications of the method.

Roman Bögli, Leandro Lerena, Christos Tsigkanos et al.

TLA+ is a formal specification language used for designing, modeling, documenting, and verifying systems through model checking. Despite significant interest from the research community, knowledge about usage of the TLA+ ecosystem in practice remains scarce. Industry reports suggest that software engineers could benefit from insights, innovations, and solutions to the practical challenges of TLA+. This paper explores this development by conducting a systematic literature review of TLA+'s industrial usage over the past decade. We analyze the trend in industrial application, characterize its use, examine whether its promised benefits resonate with practitioners, and identify challenges that may hinder further adoption.

Konrad Wolsing, Eric Wagner, Frederik Basels et al.

With the escalating threats posed by cyberattacks on Industrial Control Systems (ICSs), the development of customized Industrial Intrusion Detection Systems (IIDSs) received significant attention in research. While existing literature proposes effective IIDS solutions evaluated in controlled environments, their deployment in real-world industrial settings poses several challenges. This paper highlights two critical yet often overlooked aspects that significantly impact their practical deployment, i.e., the need for sufficient amounts of data to train the IIDS models and the challenges associated with finding suitable hyperparameters, especially for IIDSs training only on genuine ICS data. Through empirical experiments conducted on multiple state-of-the-art IIDSs and diverse datasets, we establish the criticality of these issues in deploying IIDSs. Our findings show the necessity of extensive malicious training data for supervised IIDSs, which can be impractical considering the complexity of recording and labeling attacks in actual industrial environments. Furthermore, while other IIDSs circumvent the previous issue by requiring only benign training data, these can suffer from the difficulty of setting appropriate hyperparameters, which likewise can diminish their performance. By shedding light on these challenges, we aim to enhance the understanding of the limitations and considerations necessary for deploying effective cybersecurity solutions in ICSs, which might be one reason why IIDSs see few deployments.

Leonhard Faubel, Klaus Schmid

As Machine Learning (ML) becomes more prevalent in Industry 4.0, there is a growing need to understand how systematic approaches to bringing ML into production can be practically implemented in industrial environments. Here, MLOps comes into play. MLOps refers to the processes, tools, and organizational structures used to develop, test, deploy, and manage ML models reliably and efficiently. However, there is currently a lack of information on the practical implementation of MLOps in industrial enterprises. To address this issue, we conducted a multiple case study on MLOps in three large companies with dedicated MLOps teams, using established tools and well-defined model deployment processes in the Industry 4.0 environment. This study describes four of the companies' Industry 4.0 scenarios and provides relevant insights into their implementation and the challenges they faced in numerous projects. Further, we discuss MLOps processes, procedures, technologies, as well as contextual variations among companies.

Putri Ayuni Alayyannur, Shintia Yunita Arini, Dani Nasirul Haqi et al.

Introduction: Amidst the COVID-19 pandemic, nearly all non-critical sectors require their workers to work remotely, including lecturers. All teaching and learning activities are carried out online. During this period, the problem of psychosocial disorders is of particular concern. Therefore, a study is deemed necessary to analyze what factors contribute to job stress in lecturers working from home during the pandemic. Methods: A cross-sectional study was conducted with a total 0f 111 respondents. This study was conducted through an online survey. The population of this study was lecturers. All data were collected in 2021. Variables in this study were sex, age, working time per day, break time per day, sleep time per day, workout time per week, circadian rhythm, insomnia and work stress. Results: The results of this study indicate that there is no relationship between sex and job stress also a very weak relationship strength between age, sleep time per day, workout time per week, circadian rhythm, insomnia and job stress. Furthermore, there is a strong, unidirectional relationship between working time and job stress level and a weak relationship between break time per day and job stress level. Conclusion: The conclusion is that all variables except sex have a relationship with job stress but with varying degrees. Further research on this study in different population and different methods is suggested.

Qi Liu, Jiali Weng, Chenfei Li et al.

Abstract Background Exposure to particulate matter (PM) with an aerodynamic diameter less than 2.5 μm (PM2.5) is a risk factor for developing pulmonary diseases and the worsening of ongoing disease. Mitochondrial fission and fusion are essential processes underlying mitochondrial homeostasis in health and disease. We examined the role of mitochondrial fission and fusion in PM2.5-induced alveolar epithelial cell damage and lung injury. Key genes in these processes include dystrophin-related protein 1 (DRP1) and optic atrophy 1 (OPA1) respectively. Methods Alveolar epithelial (A549) cells were treated with PM2.5 (32 µg/ml) in the presence and absence of Mdivi-1 (10µM, a DRP1 inhibitor) or BGP-15 (10µM, an OPA1 activator). Results were validated using DRP1-knockdown (KD) and OPA1-overexpression (OE). Mice were injected intraperitoneally with Mdivi-1 (20 mg/kg), BGP-15 (20 mg/kg) or distilled water (control) one hour before intranasal instillation of PM2.5 (7.8 mg/kg) or distilled water for two consecutive days. Results PM2.5 exposure of A549 cells caused oxidative stress, enhanced inflammation, necroptosis, mitophagy and mitochondrial dysfunction indicated by abnormal mitochondrial morphology, decreased mitochondrial membrane potential (ΔΨm), reduced mitochondrial respiration and disrupted mitochondrial fission and fusion. Regulating mitochondrial fission and fusion pharmacologically using Mdivi-1 and BGP-15 and genetically using DRP1-KD and OPA1-OE prevented PM2.5-induced celluar damage in A549 cells. Mdivi-1 and BGP-15 attenuated PM2.5-induced acute lung injury in mice. Conclusion Increased mitochondrial fission and decreased mitochondrial fusion may underlie PM2.5-induced alveolar epithelial cell damage in vitro and lung injury in vivo.

Luana Argote Ravelo, Elen García Silva, Whitney María Rodríguez Ponce de León et al.

Introducción: El estrés psicosocial laboral es el proceso que se inicia ante un conjunto de condiciones que se producen en el organismo, tanto en la esfera física como psicológica, individual y grupal, como consecuencia de exigencias originadas en el trabajo que superan las capacidades de respuesta y de adaptación del sujeto. Objetivos: Explorar las características del estrés psicosocial laboral y su relación con variables sociolaborales en una población trabajadora del municipio habanero de Arroyo Naranjo, 2021. Métodos: Estudio descriptivo de corte transversal, en una muestra de 92 trabajadores pertenecientes a tres sectores: agricultura 69,6 % (64), educación 17,4 % (16) y salud 13,0 % (12), seleccionados por un muestreo al azar. Para medir el estrés psicosocial laboral se aplicó el cuestionario Job Stress Survey a través de variables dependientes: presión de trabajo, falta de apoyo social en el trabajo, falta de organización en el trabajo y falta de realización profesional y como variables independientes: edad, sexo, estado civil, años de trabajo, evaluación nutricional y actividad económica. Resultados: La falta de organización fue la principal causa generadora de estrés psicosocial, tanto en intensidad como en frecuencia, la alta presión en el trabajo los afectó con bastante intensidad mientras que la falta de apoyo social con bastante frecuencia. Las mujeres estuvieron más expuestas a estresores laborales que los hombres. Conclusiones: La falta de organización y la alta presión son las causas generadoras de estrés psicosocial laboral en los tres sectores de la economía estudiados. Palabras clave: estrés psicosocial laboral; Job Stress Survey; variables socio-laborales; salud ocupacional ABSTRACT Introduction: Psychosocial occupational stress is the process started by a set of conditions that occur in the organism, in the physical, as well as in the psychological, individual, and group spheres, as a consequence of demands originating in work that exceed the subject's response and adaptation capacities. Objectives: To explore the characteristics of psychosocial occupational stress and its relationship with social-occupational variables in a working population of Arroyo Naranjo Municipality in Havana, 2021. Methods: A descriptive and cross-sectional study was carried out in a sample of 92 workers from three sectors: agriculture (64; 69.6%), education (16; 17.4%), and health (12; 13.0%), selected by random sampling. To measure psychosocial occupational stress, the Job Stress Survey Questionnaire was applied through dependent variables: occupational pressure, lack of social support at work, lack of occupational organization, and lack of professional fulfillment. The following independent variables were used: age, sex, marital status, years of work, nutritional evaluation, and economic activity. Results: The lack of organization was the main cause of psychosocial stress, both in intensity and frequency. The high occupational pressure affected the respondents quite intensely, while lack of social support affected them quite frequently. Women were more exposed to occupational stressors than men. Conclusions: The lack of organization and the high pressure are the causes generating psychosocial occupational stress in the three sectors of the economy considered in this study.

Ana Lady Ramírez Mamani, Walter Lizandro Arias Gallegos, Julio César Huamani Cahua

Introducción: Los sucesos estresantes extraordinarios se consideran eventos de gran relevancia en la vida de las personas por los cambios que acarrean y porque se asocian con diversas patologías físicas y mentales. Objetivo: Analizar las propiedades psicométricas de la Escala de Sucesos Estresantes Extraordinarios de JF Labrador en profesores de la provincia de Caylloma, ubicada en la región Arequipa, al sur de Perú. Métodos: Se realizó un estudio de tipo instrumental con 169 profesores de la provincia de Caylloma (37,3 % varones y 62,7 % mujeres), a quienes se les aplicó la ficha de datos sociodemográficos y la Escala de Sucesos Estresantes Extraordinarios mediante una aplicación de Google forms. Resultados: Se encontró que la prueba cuenta con validez de constructo obtenida mediante el análisis factorial exploratorio, con una estructura bifactorial. Estos factores se denominaron estresores debidos a cambios en el entorno y estresores provocados por problemas en las relaciones interpersonales, que obtuvieron óptimos índices de confiabilidad mediante la prueba Omega de McDonald y la prueba Alfa de Cronbach. Conclusión: Se concluye que la Escala de Sucesos Estresantes Extraordinarios posee adecuados índices de validez y confiabilidad en los profesores de Caylloma, por tanto, se recomienda su uso para evaluar el estrés. Introduction: Extraordinary stressful events are considered events of great relevance in people's lives because of the changes that they bring about and because they are associated with various physical and mental illnesses. Objective: To analyze the psychometric properties of the JF Labrador’s Extraordinary Stress Events scale in professors from the Caylloma Province, located in the Arequipa Region, southern Peru. Methods: An instrumental study was carried out with 169 professors from the Caylloma Province (37.3% were males and 62.7% were females), to whom the sociodemographic data sheet and the Extraordinary Stress Events scale were applied through a Google Forms application. Results: The test was found to have construct validity obtained through exploratory factor analysis, with a bifactor structure. These factors were called stressors due to changes in the environment and stressors caused by problems in interpersonal relationships, which obtained optimal reliability indexes by means of the McDonald's omega and the Cronbach's alpha tests. Conclusion: The Extraordinary Stress Events scale has been concluded to have adequate validity and reliability indexes in Caylloma teachers; therefore, its use is recommended to evaluate stress.

Sujin Ju, Leejin Lim, Young-Jae Ki et al.

Abstract Background Epidemiological studies have suggested that elevated concentrations of particulate matter (PM) are strongly associated with the incidence of atherosclerosis, however, the underlying cellular and molecular mechanisms of atherosclerosis by PM exposure and the components that are mainly responsible for this adverse effect remain to be established. In this investigation, we evaluated the effects of ambient PM on vascular smooth muscle cell (VSMC) behavior. Furthermore, the effects of polycyclic aromatic hydrocarbons (PAHs), major components of PM, on VSMC migration and the underlying mechanisms were examined. Results VSMC migration was significantly increased by treatment with organic matters extracted from ambient PM. The total amount of PAHs contained in WPM was higher than that in SPM, leading to higher ROS generation and VSMC migration. The increased migration was successfully inhibited by treatment with the anti-oxidant, N-acetyl-cysteine (NAC). The levels of matrix metalloproteinase (MMP) 2 and 9 were significantly increased in ambient PM-treated VSMCs, with MMP9 levels being significantly higher in WPM-treated VSMCs than in those treated with SPM. As expected, migration was significantly increased in all tested PAHs (anthracene, ANT; benz(a)anthracene, BaA) and their oxygenated derivatives (9,10-Anthraquinone, AQ; 7,12-benz(a)anthraquinone, BAQ, respectively). The phosphorylated levels of focal adhesion kinase (FAK) and formation of the focal adhesion complex were significantly increased in ambient PM or PAH-treated VSMCs, and these effects were blocked by administration of NAC or α-NF, an inhibitor of AhR, the receptor that allows PAH uptake. Subsequently, the levels of phosphorylated Src and NRF, the downstream targets of FAK, were altered with a pattern similar to that of p-FAK. Conclusions PAHs, including oxy-PAHs, in ambient PM may have dual effects that lead to an increase in VSMC migration. One is the generation of oxidative stress followed by MMP upregulation, and the other is actin reorganization that results from the activation of the focal adhesion complex.

Indiana Camejo Cobas, Arlene Oramas Viera

Introducción: El proceso por el cual un empleado da forma, modela o redefine su trabajo ha sido conceptualizado como Job Crafting. La escala para su evaluación es un instrumento sólido, aceptable y útil; sin embargo, no se hallaron estudios de validación en Cuba. Objetivo: Validar la escala Job Crafting en la Empresa de Servicios de Seguridad Integral (Seisa). Métodos: Se realizó un estudio de evaluación tecnológica para el cual se estimó una muestra de 278 trabajadores. Se consultaron dos grupos de jueces: uno para la adaptación cultural y otro para la validación de contenido. Se calculó la concordancia entre los expertos. Se midió la consistencia interna con la técnica estadística alfa de Cronbach. Se utilizó la V de Aiken y se realizó un Análisis Factorial Exploratorio. Resultados: El 100 % de los jueces consideró que la escala presentaba equivalencia conceptual e instrumental, así como equivalencia semántica y experiencial. La totalidad de los expertos calificó los ítems como claros, relevantes y suficientes. Los puntajes de la versión cubana del Job Crafting presentaron evidencias de validez de estructura interna con la obtención de un coeficiente de alfa de Cronbach de .732. El porcentaje de la varianza explicada acumulada ascendió al 95,6 %. Conclusiones: El rediseño del puesto de trabajo puede ser evaluado a través de la escala Job Crafting, la cual demostró poseer adecuada validez de contenido y constructo y ser confiable para el personal trabajador cubano Introduction: Job crafting is the process by which an employee gives shape to, models or redefines their job. The scale for its evaluation is a solid, acceptable and useful tool. However, validation studies were not found in Cuba. Objective: Validate the Job Crafting Scale at the Comprehensive Security Services Enterprise (SEISA). Methods: A technological evaluation study was conducted of a sample of 278 workers. Two groups of judges were consulted: one for cultural adaptation and the other for content validation. An estimation was made of the level of agreement between the experts. Internal consistency was measured with Cronbach's alpha statistical technique. Use was made of Aiken's V coefficient and exploratory factor analysis was performed. Results: 100% of the judges considered that the scale displayed conceptual and instrumental as well as semantic and experiential equivalence. All the experts described the items as clear, relevant and sufficient. The scores in the Cuban version of the Job Crafting Scale showed evidence of internal structure validity, with a Cronbach's alpha coefficient of .732. Cumulative explained variance was as high as 95.6%. Conclusions: Job redesign may be evaluated with the Jog Crafting Scale, which proved to have appropriate content and construct validity, and be reliable for Cuban employees

Roseli Esquerdo Lopes, Patrícia Leme de Oliveira Borba

Este artigo apresenta um conjunto de reflexões que vêm sendo tecidas em torno da defesa da noção de inclusão radical na educação como diretriz para as ações profissionais de terapeutas ocupacionais. Para tanto, debruça-se sobre o conceito de inclusão, a partir do que vem sendo definido pelas políticas e/ou programas voltados à inclusão escolar e pelos estudos sociológicos, bem como traz um recorte freireano e ontológico do termo radical. Assim, se propõe o ensejo de deslocamentos sensíveis e historicamente situados, tanto no que concerne a uma ampliação dos públicos convencionalmente destinatários da ação terapêutico-ocupacional no setor da educação quanto para a produção de fazeres que considerem a escola e seus agentes como componentes essenciais da rede social de suporte para crianças e jovens. Por fim, reflete-se sobre as bases na formação que precisam ser reformuladas para produção de práticas terapêutico-ocupacionais alinhadas sob tal diretriz, além de pontuar demandas aos aparatos institucionais e políticos no âmbito das associações acadêmicas e profissionais da área, para que se avance na inserção profissional do terapeuta ocupacional neste setor.

David Puljiz, Björn Hein

Industrial arms need to evolve beyond their standard shape to embrace new and emerging technologies. In this paper, we shall first perform an analysis of four popular but different modern industrial robot arms. By seeing the common trends we will try to extrapolate and expand these trends for the future. Here, particular focus will be on interaction based on augmented reality (AR) through head-mounted displays (HMD), but also through smartphones. Long-term human-robot interaction and personalization of said interaction will also be considered. The use of AR in human-robot interaction has proven to enhance communication and information exchange. A basic addition to industrial arm design would be the integration of QR markers on the robot, both for accessing information and adding tracking capabilities to more easily display AR overlays. In a recent example of information access, Mercedes Benz added QR markers on their cars to help rescue workers estimate the best places to cut and evacuate people after car crashes. One has also to deal with safety in an environment that will be more and more about collaboration. The QR markers can therefore be combined with RF-based ranging modules, developed in the EU-project SafeLog, that can be used both for safety as well as for tracking of human positions while in close proximity interactions with the industrial arms. The industrial arms of the future should also be intuitive to program and interact with. This would be achieved through AR and head mounted displays as well as the already mentioned RF-based person tracking. Finally, a more personalized interaction between the robots and humans can be achieved through life-long learning AI and disembodied, personalized agents. We propose a design that not only exists in the physical world, but also partly in the digital world of mixed reality.

Bin Jiang, Jianqiang Li, Guanghui Yue et al.

The development of Internet of Things (IoT) brings new changes to various fields. Particularly, industrial Internet of Things (IIoT) is promoting a new round of industrial revolution. With more applications of IIoT, privacy protection issues are emerging. Specially, some common algorithms in IIoT technology such as deep models strongly rely on data collection, which leads to the risk of privacy disclosure. Recently, differential privacy has been used to protect user-terminal privacy in IIoT, so it is necessary to make in-depth research on this topic. In this paper, we conduct a comprehensive survey on the opportunities, applications and challenges of differential privacy in IIoT. We firstly review related papers on IIoT and privacy protection, respectively. Then we focus on the metrics of industrial data privacy, and analyze the contradiction between data utilization for deep models and individual privacy protection. Several valuable problems are summarized and new research ideas are put forward. In conclusion, this survey is dedicated to complete comprehensive summary and lay foundation for the follow-up researches on industrial differential privacy.

Jan Pennekamp, Erik Buchholz, Markus Dahlmanns et al.

Following the recent Internet of Things-induced trends on digitization in general, industrial applications will further evolve as well. With a focus on the domains of manufacturing and production, the Internet of Production pursues the vision of a digitized, globally interconnected, yet secure environment by establishing a distributed knowledge base. Background. As part of our collaborative research of advancing the scope of industrial applications through cybersecurity and privacy, we identified a set of common challenges and pitfalls that surface in such applied interdisciplinary collaborations. Aim. Our goal with this paper is to support researchers in the emerging field of cybersecurity in industrial settings by formalizing our experiences as reference for other research efforts, in industry and academia alike. Method. Based on our experience, we derived a process cycle of performing such interdisciplinary research, from the initial idea to the eventual dissemination and paper writing. This presented methodology strives to successfully bootstrap further research and to encourage further work in this emerging area. Results. Apart from our newly proposed process cycle, we report on our experiences and conduct a case study applying this methodology, raising awareness for challenges in cybersecurity research for industrial applications. We further detail the interplay between our process cycle and the data lifecycle in applied research data management. Finally, we augment our discussion with an industrial as well as an academic view on this research area and highlight that both areas still have to overcome significant challenges to sustainably and securely advance industrial applications. Conclusions. With our proposed process cycle for interdisciplinary research in the intersection of cybersecurity and industrial application, we provide a foundation for further research.