| 1. |
- Langer, Judith, et al.
(författare)
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Present and Future of Surface-Enhanced Raman Scattering
- 2020
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Ingår i: ACS Nano. - : American Chemical Society (ACS). - 1936-086X .- 1936-0851. ; 14:1, s. 28-117
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Forskningsöversikt (refereegranskat)abstract
- The discovery of the enhancement of Raman scattering by molecules adsorbed on nanostructured metal surfaces is a landmark in the history of spectroscopic and analytical techniques. Significant experimental and theoretical effort has been directed toward understanding the surface-enhanced Raman scattering (SERS) effect and demonstrating its potential in various types of ultrasensitive sensing applications in a wide variety of fields. In the 45 years since its discovery, SERS has blossomed into a rich area of research and technology, but additional efforts are still needed before it can be routinely used analytically and in commercial products. In this Review, prominent authors from around the world joined together to summarize the state of the art in understanding and using SERS and to predict what can be expected in the near future in terms of research, applications, and technological development. This Review is dedicated to SERS pioneer and our coauthor, the late Prof. Richard Van Duyne, whom we lost during the preparation of this article. ©
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| 2. |
- Lee, Christina, 1992, et al.
(författare)
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Production Across the Nordics
- 2022
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- In the uncertain and volatile market that companies are currently facing worldwide, researchers and engineers become a key link to strengthen the industry and universities in order to understand, communicate, and tackle current challenges. In the PhD course, International Production, the goal is to investigate what makes Sweden and Iceland booming industrial hubs driven by technology. Through the visits to different types of industries, such as fintech, medical, or automotive industry, we as researchers have gained a better understanding of the challenges they are currently facing. This report is a summary of our findings and observations. The participants have focused on the six challenge areas highlighted within the Produktion2030 graduate school and summarize their findings as: •Resource-efficient production: Data as a resource is becoming increasingly important for the majority of companies in the Nordics and the application of traditional resource management tools on data is a suggested area for future research. •Flexible production: To strengthen organizations by enabling production systems to be flexible to address market variations is a key challenge to consider in the manufacturing industry •Virtual production development: Digitalization level is distinct in each Nodic country with the reason that each country has its own digitalization transformation policy and different measures on digitalization level. •Humans in the production system: Humans are central in the production systems of the visited companies. Use of automation technology and AI to support humans in their work may become more common in the future. •Circular production systems and maintenance: Circular production systems require a complex approach through the whole value chain. Industry in the Nordics has started the adoption of a circularity approach. •Integrated product and production development: Integration of product and production development is a key business factor for the Nordic countries, and geographical proximity between the two departments can have a beneficial effect. We hope that this report provides more details regarding the success and current challenges of the Swedish and Icelandic enterprises.
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| 3. |
- Smith, Kate, et al.
(författare)
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Impact of urban water supply on energy use in China : a provincial and national comparison
- 2016
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Ingår i: Mitigation and Adaptation Strategies for Global Change. - : Springer Science and Business Media LLC. - 1381-2386 .- 1573-1596. ; 21:8, s. 1213-1233
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Tidskriftsartikel (refereegranskat)abstract
- To reduce greenhouse gas (GHG) emissions and help mitigate climate change, urban water systems need to be adapted so that electrical energy use is minimised. In this study, energy data from 2011 was used to quantify energy use in China’s urban water supply sector. The objective was to calculate the energy co-benefits of urban water conservation policies and compare energy use between China and other countries. The study investigated influencing factors with the aim of informing the development of energy efficient urban water infrastructure. The average energy use per cubic metre and per capita for urban water supply in China in 2011 was 0.29 kWh/m3 and 33.2 kWh/cap year, respectively. Total GHG emissions associated with energy use in the urban water supply sector were 7.63 MtCO2e, or carbon dioxide equivalent. Calculations using these indicators showed significant energy savings could result from water conservation measures. A comparison between provinces of China showed a direct correlation between energy intensity of urban water supply and the population served per unit length of pipe. This may imply energy and emission intensity can be reduced if more densely populated areas are supplied by a corresponding pipe density, rather than by a low-density network operating at higher flow rates. This study also found that while the percentage of electrical energy used for urban water supply tended to increase with the percentage of population served, this increase was slower where water supply was more energy efficient and where a larger percentage of population was already supplied.
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| 4. |
- Yi, Shuming, et al.
(författare)
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A vision-based human-robot collaborative system for digital twin
- 2022
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Ingår i: Procedia CIRP. - : Elsevier BV. - 2212-8271. ; , s. 552-557
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Konferensbidrag (refereegranskat)abstract
- Flexible and safe human-robot collaboration depends on accurately capturing the three-dimensional motion of humans and robots in the field of smart manufacturing. In this paper, a novel approach to developing a human-robot collaborative assembly system is proposed and applied to the field of digital twins. Within the context, a deep learning-based model is explored to develop a depth camera-based human recognition system for accurate prediction of key points for human skeletons model and high-precision human localisation in a human-robot collaborative setting. After the functional mapping of robot calibration, a collision warning module leverages coordinates of key human-robot points to facilitate efficient and safe human-robot collaborative assembly.
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| 5. |
- Yi, Shuming, et al.
(författare)
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Safety-aware human-centric collaborative assembly
- 2024
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Ingår i: Advanced Engineering Informatics. - : Elsevier BV. - 1474-0346 .- 1873-5320. ; 60
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Tidskriftsartikel (refereegranskat)abstract
- Manufacturing systems envisioned for factories of the future will promote human-centricity for close collaboration in a shared working environment towards better overall productivity within the context of Industry 5.0. Robust and accurate recognition and prediction of human intentions are crucial to reliable and safe collaborative operations between humans and robots. For this purpose, this paper proposed a safety-aware human-centric collaborative assembly approach driven by function blocks, human action recognition for intention detection, and collision avoidance for safe robot control. Within the context, a deep learning-based recognition system is developed for high-accuracy human intention recognition and prediction, and an assembly feature-based approach driven by function blocks is presented for assembly execution and control. Thus, assembly features and human behaviours during assembly are formulated to support safe assembly actions. Skeleton-based human behaviours are defined as control inputs to an adaptive safety-aware scheme. The scheme includes collaborative and parallel mode-based pre-warning and obstacle avoidance approaches for a human-centric collaborative assembly system. The former is to monitor and regulate robot control modes when working in parallel with humans, and the latter uses a position-based approach to control robot actions by adaptively adjusting obstacle avoidance trajectories in a dynamic collaborative environment. The findings of this paper reveal the effectiveness of the developed system, as experimentally validated through an engine-assembly case study.
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