TY - PAT A1 - Chao, Chen-Xiang A1 - Krüger, David A1 - Flassig, Peter Michael A1 - Meissner, Bernd T1 - Verfahren zur Herstellung einer Verzahnung und Verzahnung Y1 - 2018 UR - https://patents.google.com/patent/DE102018108753A1/de?inventor=Chen-Xiang+Chao ER - TY - PAT A1 - Chao, Chen-Xiang A1 - Krüger, David A1 - Flassig, Peter Michael A1 - Meissner, Bernd T1 - Method for manufacturing a toothing and toothing Y1 - 2019 UR - https://patents.google.com/patent/DE102018108753A1/en?inventor=Chen-Xiang+Chao ER - TY - PAT A1 - Chao, Chen-Xiang A1 - Krüger, David T1 - Stegzahnrad Y1 - 2019 UR - https://patents.google.com/patent/DE102019211451A1/de?inventor=Chen-Xiang+Chao ER - TY - PAT A1 - Chao, Chen-Xiang A1 - Krüger, David T1 - Gear wheel Y1 - 2020 UR - https://patents.google.com/patent/US20220316574A1/en?inventor=Chen-Xiang+Chao ER - TY - GEN A1 - Dorneanu, Bogdan A1 - Zhang, Sushen A1 - Ruan, Hang A1 - Heshmat, Mohamed A1 - Chen, Ruijuan A1 - Vassiliadis, Vassilios S. A1 - Arellano-García, Harvey T1 - Big data and machine learning: A roadmap towards smart plants T2 - Frontiers of Engineering Management N2 - Industry 4.0 aims to transform chemical and biochemical processes into intelligent systems via the integration of digital components with the actual physical units involved. This process can be thought of as the addition of a central nervous system with a sensing and control monitoring of components and regulating the performance of the individual physical assets (processes, units, etc.) involved. Established technologies central to the digital integrating components are smart sensing, mobile communication, Internet of Things, modelling and simulation, advanced data processing, storage and analysis, advanced process control, artificial intelligence and machine learning, cloud computing, and virtual and augmented reality. An essential element to this transformation is the exploitation of large amounts of historical process data and large volumes of data generated in real-time by smart sensors widely used in industry. Exploitation of the information contained in these data requires the use of advanced machine learning and artificial intelligence technologies integrated with more traditional modelling techniques. The purpose of this paper is twofold: a) to present the state-of-the-art of the aforementioned technologies, and b) to present a strategic plan for their integration toward the goal of an autonomous smart plant capable of self-adaption and self-regulation for short- and long-term production management. Y1 - 2022 UR - https://link.springer.com/article/10.1007/s42524-022-0218-0 U6 - https://doi.org/10.1007/s42524-022-0218-0 VL - 9 SP - 623 EP - 639 ER - TY - RPRT A1 - De Santis, Karina Karolina A1 - Müllmann, Saskia A1 - Pan, Chen-Chia A1 - Spallek, Jacob A1 - Hoffmann, Stephanie A1 - Haug, Ulrike A1 - Zeeb, Hajo T1 - Digitalisierung und Gesundheit: Ergebnisse einer zweiten bundesweiten Befragung in Deutschland N2 - Diese Studie untersuchte Einstellungen zu und Nutzung von digitalen Technologien im Gesundheitskontext anhand einer zweiten bundesweiten Befragung von Internetnutzenden in Deutschland. Unser Ziel war es zu ermitteln, ob und wie sich Einstellungen zu und Nutzung von digitalen Technologien im Gesundheitskontext zwei Jahre nach der ersten Befragung verändert haben. Y1 - 2024 UR - https://www.researchgate.net/publication/377635793_Digitalisierung_und_Gesundheit_Ergebnisse_einer_zweiten_bundesweiten_Befragung_in_Deutschland ER - TY - GEN A1 - Gao, Yunlong A1 - Luo, Si-Zhe A1 - Pan, Jin-Yan A1 - Chen, Bai-Hua A1 - Zhang, Yi-Song T1 - Robust PCA Using Adaptive Probability Weighting T2 - Acta Automatica Sinica N2 - Principal component analysis (PCA) is an important method for processing high-dimensional data. In recent years, PCA models based on various norms have been extensively studied to improve the robustness. However, on the one hand, these algorithms do not consider the relationship between reconstruction error and covariance; on the other hand, they lack the uncertainty of considering the principal component to the data description. Aiming at these problems, this paper proposes a new robust PCA algorithm. Firstly, the L2,p-norm is used to measure the reconstruction error and the description variance of the projection data. Based on the reconstruction error and the description variance, the adaptive probability error minimization model is established to calculate the uncertainty of the principal component's description of the data. Based on the uncertainty, the adaptive probability weighting PCA is established. The corresponding optimization method is designed. The experimental results of artificial data sets, UCI data sets and face databases show that RPCA-PW is superior than other PCA algorithms. KW - Principle component analysis (PCA) KW - weighted principal component analysis (WPCA) KW - dimensionality reduction KW - robustness Y1 - 2021 U6 - https://doi.org/10.16383/j.aas.c180743 SN - 0254-4156 VL - 47 IS - 4 SP - 825 EP - 838 ER - TY - JOUR A1 - Fong, Mun‐Oon A1 - Chen, Xiangping A1 - Wong, Jie‐Wei A1 - Lok, Tow‐Jie A1 - Li, Siyang A1 - Low, Jia Tee A1 - Nordin, Nur Syahirra A1 - Miao, Zhikun A1 - Hu, Qiannan A1 - Neffe, Axel T. A1 - Wong, Tuck‐Whye A1 - Li, Tiefeng A1 - Yang, Wei T1 - Multifunctional Roles of Iron Oxide Nanoparticles in a Reversible Shape‐Memory Composite JF - Advanced Functional Materials N2 - The utilization of functional fillers in the development of composite materials has come a long way since its advent to improve physical, chemical, or mechanical properties of the base material. However, the heterogenous roles contributed by a single type of filler remain uncommon in this field. Here the endowment of various modifications to a 1,8‐octanediol/1,12‐dodecanedioic acid/citric acid (OD/DDA/CA) matrix through the incorporation of iron oxide nanoparticles (IONPs) is reported. Owing to the relaxation and hysteresis loss behaviors of IONPs when exposed to an alternating magnetic field (AMF), the composites demonstrate a magnetothermal response. Similarly, the excitation and relaxation of electrons in IONPs under near‐infrared light (NIR) enable photothermic‐responsiveness. In combination, two findings nurtured an observed shape‐memory effect when the samples are under actuation by these indirect stimuli, where a shape recovery ratio (≥98%) and reversible strain (≤7%) are recorded. Moreover, the catalytic role of IONPs aided transesterification in the covalent network, demonstrated by successful repeated cycles of shape reconfiguration of the samples. This work highlights the prospectives of multifunctional composite fillers in the exploration of bio‐derived composite smart materials. KW - Shape-Memory Polymer KW - Composite KW - Iron Oxide Nanoparticle KW - bio-based Y1 - 2024 U6 - https://doi.org/10.1002/adfm.202418409 SN - 1616-301X PB - Wiley ER - TY - GEN A1 - De Santis, Karina Karolina A1 - Muellmann, Saskia A1 - Pan, Chen-Chia A1 - Hoffmann, Stephanie A1 - Spallek, Jacob A1 - Haug, Ulrike A1 - Zeeb, Hajo T1 - Digitisation and health: Second nationwide survey of internet users in Germany T2 - Digital Health N2 - Objective: Rapid digitisation of health occurred during the COVID-19 pandemic worldwide. In October 2020, we conducted a survey on digital health technology use in Germany. This study aimed to conduct a second survey to investigate in more detail the internet use in health context and digital technology use for health promotion and disease prevention in Germany. Methods: A cross-sectional, nationwide telephone survey was conducted in November 2022. Anonymous data on internet and digital technology use, digital health literacy, and sociodemographic characteristics were analysed using descriptive statistics and binary logistic regressions. Results: The 1020 participants were aged 18–92 years, 53% were male, 62% completed primary or secondary education, 71% resided in large cities, and 45% reported a country-average net household income. Overall, 61% reported internet use in health context via 1–4 devices. Among those, more than 50% used the internet and apps to obtain general health information and less than 50% used digital technologies for physical activity promotion or cancer prevention. Overall, 34% were confident in using the internet for health decisions and 71% preferred to receive health information non-digitally (e.g. on paper). Internet, app, and digital technology use were associated with higher digital health literacy and income, and residence in larger cities. Digital technologies were used for physical activity promotion by younger and for cancer prevention by older participants. Conclusion: The internet and digital technologies were predominantly used to obtain health information, but less often for health promotion and disease prevention in 2022 in Germany. While health app and digital technology use for physical activity promotion increased, the confidence in using online information for health decisions decreased in 2022 relative to 2020. Factors that promote confidence in online health information and digital technology use for health promotion and disease prevention need to be investigated in future studies. Y1 - 2024 U6 - https://doi.org/10.1177/20552076241301457 VL - Volume 10 ER - TY - GEN A1 - Florian, Tobias A1 - Schricker, Klaus A1 - Zenz, Constantin A1 - Otto, Andreas A1 - Schmidt, Leander A1 - Diegel, Christian A1 - Friedmann, Hannes A1 - Seibold, Marc A1 - Hellwig, Peter A1 - Fröhlich, Fabian A1 - Nagel, Falk A1 - Kallage, Peter A1 - Buttazzoni, Michele A1 - Rack, Alexander A1 - Requardt, Herwig A1 - Chen, Yunhui A1 - Bergmann, Jean Pierre T1 - Combining in situ synchrotron X-ray imaging and multiphysics simulation to reveal pore formation dynamics in laser welding of copper T2 - International Journal of Machine Tools and Manufacture N2 - Laser beam welding has emerged as a powerful tool for manufacturing copper components in electrical vehicles, electronic devices or energy storage, owing to its rapid processing capabilities. Nonetheless, the material’s high thermal conductivity and low absorption of infrared light can introduce process instabilities, resulting in defects such as pores. This study employs a hybrid approach that combines in situ synchrotron X-ray imaging with compressible multiphysics process simulation to elucidate pore-forming mechanisms during laser beam welding of copper. High-speed synchrotron X-ray imaging with an acquisition rate of 20,000 images/second facilitates the identification of relevant process regimes concerning pore formation during laser beam welding of copper with a wavelength of 1070 nm. Furthermore, in situ observations with high temporal and spatial resolution present a unique database for extensive validation of a multi-physics process simulation based on welding processes using different concentric intensity distributions. These validated simulation results enable thorough comprehension of process-related pore formation based on the interaction between keyhole, melt pool and resulting flow field. The findings show that pore formation is driven by four different mechanisms: bulging, spiking, upwelling waves at the keyhole rear wall and melt pool ejections. The synergy of high- speed synchrotron X-ray imaging and multi-physics modeling provides a fundamental understanding of the chronological sequence of events leading to process-related pore formation during laser beam welding of copper. KW - In situ high-speed synchrotron X-ray imaging KW - Multi-physics simulation KW - Laser beam welding KW - Copper KW - Pore formation KW - Concentric intensity distributions Y1 - 2025 U6 - https://doi.org/10.1016/j.ijmachtools.2024.104224 SN - 0890-6955 VL - 204 SP - 1 EP - 22 PB - Elsevier BV ER - TY - GEN A1 - De Santis, Karina Karolina A1 - Müllmann, Saskia A1 - Pan, Chen-Chia A1 - Hoffmann, Stephanie A1 - Spallek, Jacob A1 - Haug, Ulrike A1 - Zeeb, Hajo T1 - Increased use of digital health technologies but reduced digital health literacy: a comparison in results of two nationwide surveys in 2020 and 2022 in Germany T2 - German Medical Science N2 - Objective: Digital technologies with internet access, including computers or mobile devices, can contribute to health promotion and disease prevention. This study aimed to compare the results of two nationwide surveys of internet users in Germany that investigated the use pattern, the attitudes towards, and the factors associated with digital technology use in health context. Methods: This study adheres to the ethical guidelines according to the Declaration of Helsinki. Two cross-sectional surveys of internet users living in Germany were performed in 2020 (survey 1) and 2022 (survey 2). Participants were recruited from two different consumer panel samples owned by a market research institute (Cerner Enviza GmbH). Participants provided verbal informed consent for participation in the study according to the Cerner Enviza data privacy policy. Computer-assisted telephone interviews were conducted by Cerner Enviza using questionnaires with 28-30 items developed by study authors. Anonymous data were purchased and analysed by study authors using descriptive statistics. Associations between digital technology use and participant characteristics were tested using binary logistic regression analyses. Results: The participants were adult internet users (survey 1: n=991; survey 2: n=1020). Participant characteristics were similar in both surveys (47-52% female, 50-55% aged 40-65 years, 62-66% with less than tertiary education, 42-45% with less than country-average household income, 81-82% residents in former West Germany, and 67-71% residents in large cities). A similar number of participants in both surveys reported digital technology use in any health context (57-61%) and rated digital technologies for physical activity promotion as easy to use (87-92%). Digital technology use increased in 2022 relative to 2020. Specifically, more participants reported health app (63% vs. 36%) and digital technology use for physical activity promotion (any use: 44% vs. 31%; weekly-daily use: 91% vs. 64%) in 2022 vs. 2020. In contrast, digital health literacy decreased in 2022 relative to 2020. Specifically, less participants had high digital health literacy (57% vs. 69%) and were confident in using online information for health decisions (34% vs. 43%) in 2022 vs. 2020. Digital technology use was associated with higher digital health literacy and younger age (in both surveys), higher income (in survey 1) and residence in larger cities (in survey 2). Conclusion: Digital technologies targeting some health domains, such as physical activity promotion are frequently used and accepted by the users. However, digital health literacy and especially the confidence in using online information for health decisions appear to have decreased in 2022 relative to 2020. Factors that promote digital technology use for health promotion and disease prevention need to be investigated in future studies. Considering that digital health literacy is associated with digital technology use, further research on user needs and preferences is required to understand the reasons for reduction in such literacy in this study. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0183-24gmds6319 ER - TY - GEN A1 - Martre, Pierre A1 - Dueri, Sibylle A1 - Brown, Hamish A1 - Asseng, Senthold A1 - Ewert, Frank A1 - Webber, Heidi A1 - George, Mike A1 - Craigie, Rob A1 - Guarin, Jose Rafael A1 - Pequeno, Diego A1 - Stella, Tommaso A1 - Ahmed, Mukhtar A1 - Alderman, Phillip A1 - Basso, Bruno A1 - Berger, Andres A1 - Bracho Mujica, Gennady A1 - Cammarano, Davide A1 - Chen, Yi A1 - Dumont, Benjamin A1 - Rezaei, Ehsan Eyshi A1 - Fereres, Elias A1 - Ferrise, Roberto A1 - Gaiser, Thomas A1 - Gao, Yujing A1 - Garcia-Vila, Margarita A1 - Gayler, Sebastian A1 - Hochman, Zvi A1 - Hoogenboom, Gerrit A1 - Kersebaum, Kurt C. A1 - Nendel, Claas A1 - Olesen, Jørgen A1 - Padovan, Gloria A1 - Palosuo, Taru A1 - Priesack, Eckart A1 - Pullens, Johannes A1 - Rodríguez, Alfredo A1 - Rötter, Reimund P. A1 - Ruiz Ramos, Margarita A1 - Semenov, Mikhail A1 - Senapati, Nimai A1 - Siebert, Stefan A1 - Srivastava, Amit Kumar A1 - Stöckle, Claudio A1 - Supit, Iwan A1 - Tao, Fulu A1 - Thorburn, Peter A1 - Wang, Enli A1 - Weber, Tobias A1 - Xiao, Liujun A1 - Zhao, Chuang A1 - Zhao, Jin A1 - Zhao, Zhigan A1 - Zhu, Yan T1 - Winter wheat experiments to optimize sowing dates and densities in a high-yielding environment in New Zealand: field experiments and AgMIP-Wheat multi-model simulations T2 - Open Data Journal for Agricultural Research N2 - This paper describes the data set that was used to test the accuracy of twenty-nine crop models in simulating the effect of changing sowing dates and sowing densities on wheat productivity for a high-yielding environment in New Zealand. The data includes one winter wheat cultivar (Wakanui) grown during six consecutive years, from 2012-2013 to 2017-2018, at two farms located in Leeston and Wakanui in Canterbury, New Zealand. The simulations were carried out in the framework of the Agricultural Model Intercomparison and Improvement Project for wheat (AgMIP-Wheat). Data include local daily weather data, soil profile characteristics and initial conditions, crop measurements at maturity (grain, stem, chaff and leaf dry weight, ear number and grain number, grain unit dry weight), and at stem elongation and anthesis (total above ground dry biomass, leaf number per stem and leaf area index). Several in-season measurements of the normalized difference vegetation index (NDVI) and the fraction of intercepted photosynthetically active radiation (FIPAR) are also available. The crop model simulations include both daily in-season and end-of-season results from twenty-nine wheat models. KW - field experimental data KW - multi-crop model ensemble KW - sowing date KW - sowing density KW - winter wheat KW - yield potential Y1 - 2024 U6 - https://doi.org/10.18174/odjar.v10i0.18442 SN - 2352-6378 VL - 10 SP - 14 EP - 21 PB - Wageningen University and Research ER - TY - GEN A1 - Fritscher, Markus A1 - Uhlmann, Max A1 - Ostrovskyy, Philip A1 - Reiser, Daniel A1 - Chen, Junchao A1 - Schubert, Andreas A1 - Schulze, Carsten A1 - Kahmen, Gerhard A1 - Fey, Dietmar A1 - Reichenbach, Marc A1 - Krstic, Milos A1 - Wenger, Christian T1 - Area-efficient digital design using RRAM-CMOS standard cells T2 - 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) N2 - Extending the scalability of digital integrated circuits through novel device concepts is an attractive option. Among these concepts, resistive random access memory (RRAM) devices allow fast and nonvolatile operation. However, building large memristive systems is still challenging since large analog circuits have to be designed and integrated. In this paper, we propose a novel solution - the implementation of digital standard cells by the means of RRAM devices. While this methodology is universal, with applications ranging from few-device-circuits to large macroblocks, we demonstrate it for a 2T2R-cell. The benefits of using RRAM devices are demonstrated by implementing a NAND standard cell merely consuming the area of two transistors. This cell is about 25 % smaller than the equivalent CMOS NAND in the same technology. We use these cells to implement a half adder, beating the area of the equivalent CMOS implementation using more sophisticates gates by 15 %. Lastly, we fully integrate this novel standard cell into a digital standard cell library and perform a synthesis and layout of a RISC-V CPU core. KW - RRAM Y1 - 2024 SN - 979-8-3503-5411-9 SN - 979-8-3503-5412-6 U6 - https://doi.org/10.1109/ISVLSI61997.2024.00026 SN - 2159-3477 VL - 18 SP - 81 EP - 87 PB - IEEE ER - TY - GEN A1 - De Santis, Karina Karolina A1 - Müllmann, Saskia A1 - Pan, Chen-Chia A1 - Hoffmann, Stephanie A1 - Spallek, Jacob A1 - Haug, Ulrike A1 - Zeeb, Hajo T1 - Use and attitudes toward digital technologies in health context: A nationwide survey in Germany T2 - Gesundheitswesen N2 - Introduction Digital technologies, such as health apps, can contribute to health promotion and disease prevention. This study investigated the use and attitudes toward digital technologies in health context using a nationwide survey. Methods Adult internet users (n=1020) from 16 federal states in Germany participated in computer-assisted telephone interviews in November 2022. Data were analyzed using descriptive statistics and regression analyses. Results Overall, 61% of participants reported internet use in health context. Among the users, digital technologies were used to obtain general health information by 63% and to support physical activity or to obtain information on cancer by less than 50%. Over 90% of users rated such technologies as easy to use and useful to obtain health information, to support physical activity or to obtain information on cancer. However, confidence in using the internet for health decisions was low. Digital technology use in health context was associated with higher eHealth literacy. Digital technologies were preferred by younger participants to support physical activity and by older participants to obtain information on cancer. Conclusion Although digital technologies are easy to use, the use of digital technologies for health promotion and disease prevention and confidence in using the internet for health decisions were low among internet users in this study. Factors that promote digital technology use for health promotion and prevention need to be investigated in further studies. Y1 - 2023 UR - https://www.thieme-connect.com/products/ejournals/abstract/10.1055/s-0043-1770610 U6 - https://doi.org/10.1055/s-0043-1770610 VL - 85 IS - 809 SP - 812 EP - 813 ER -