Journal articles: 'OSLC Automation'

1

Felder, Robin A. "LIMS and Lab Automation Seminar, Oslo, Norway, 7 March 1994." Chemometrics and Intelligent Laboratory Systems 26, no. 1 (May 1994): 55–59. http://dx.doi.org/10.1016/0169-7439(94)90019-1.

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Loriot, V. "Automatic CEP locking and optimization for a Ti:Sa femtosecond oscillator." OSA Continuum 3, no. 11 (October 20, 2020): 2976. http://dx.doi.org/10.1364/osac.402964.

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Seifert, Jacob, Dorian Bouchet, Lars Loetgering, and Allard P. Mosk. "Efficient and flexible approach to ptychography using an optimization framework based on automatic differentiation." OSA Continuum 4, no. 1 (January 8, 2021): 121. http://dx.doi.org/10.1364/osac.411174.

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Itakura, Kenta, Yuma Narita, Shuhei Noaki, and Fumiki Hosoi. "Automatic pear and apple detection by videos using deep learning and a Kalman filter." OSA Continuum 4, no. 5 (May 14, 2021): 1688. http://dx.doi.org/10.1364/osac.424583.

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Wu, Chuanchao, Yingxiong Xie, Long Shao, Jian Yang, Danni Ai, Hong Song, Yongtian Wang, and Yong Huang. "Automatic boundary segmentation of vascular Doppler optical coherence tomography images based on cascaded U-net architecture." OSA Continuum 2, no. 3 (March 5, 2019): 677. http://dx.doi.org/10.1364/osac.2.000677.

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Leiping, Che, Wen Xiao, Li Xiaoping, Jinjin Liu, Feng Pan, and Pietro Ferraro. "Automatic removal of phase aberration in holographic microscopy for drug sensitivity detection of ovarian cancer cells." OSA Continuum 3, no. 7 (July 6, 2020): 1856. http://dx.doi.org/10.1364/osac.391773.

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Lin, Yen-Heng, Chih-Ching Wu, Wan-Ling Chen, and Kai-Ping Chang. "Anti-p53 Autoantibody Detection in Automatic Glass Capillary Immunoassay Platform for Screening of Oral Cavity Squamous Cell Carcinoma." Sensors 20, no. 4 (February 11, 2020): 971. http://dx.doi.org/10.3390/s20040971.

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The incidence of oral squamous cell carcinoma (OSCC), which is one of the most common cancers worldwide, has been increasing. Serum anti-p53 autoantibody is one of the most sensitive biomarkers for OSCC. Currently, the most commonly used method on clinical screening platforms is the enzyme-linked immunosorbent assay, owing to its high specificity and repeatability. However, conducting immunoassays on 96-well plates is typically time consuming, thereby limiting its clinical applications for fast diagnosis and immediate prognosis of rapidly progressive diseases. The present study performed immunoassays in glass capillaries of 1-mm internal diameter, which increases the surface to volume ratio of the reaction, to shorten the time needed for immunoassay. The immunoassay was automated while using linear motorized stages and a syringe pump. The results indicated that, when compared with the 96-well plate immunoassay, the glass capillary immunoassay decreased the reaction time from typical 120 min to 45 min, reduced the amount of reagent from typical 50 µL to 15 µL, and required only simple equipment setup. Moreover, the limit of detection for glass capillary anti-p53 autoantibody immunoassay was 0.46 ng mL−1, which is close to the 0.19 ng mL−1 value of the conventional 96-well plate assay, and the glass capillary method had a broader detection range. The apparatus was used to detect the serum anti-p53 autoantibody concentration in clinical patients and compare its results with the conventional 96-well plate method results, which suggested that both of the methods detect the same trend in the relative concentration of serum anti-p53 autoantibody in healthy individuals or patients with OSCC.

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Martinez-Angulo, Jose Ramon, Eduardo Perez-Careta, Juan Carlos Hernandez-Garcia, Sandra Marquez-Figueroa, Jose Hugo Barron Zambrano, Daniel Jauregui-Vazquez, Jose David Filoteo-Razo, et al. "Automated Data Acquisition System Using a Neural Network for Prediction Response in a Mode-Locked Fiber Laser." Electronics 9, no. 8 (July 22, 2020): 1181. http://dx.doi.org/10.3390/electronics9081181.

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In this paper, we proposed a system to integrate optical and electronic instrumentation devices to predict a mode-locking fiber laser response, using a remote data acquisition with processing through an artificial neural network (ANN). The system is made up of an optical spectrum analyzer (OSA), oscilloscope (OSC), polarimeter (PAX), and the data acquisition automation through transmission control protocol/internet protocol (TCP/IP). A graphic user interface (GUI) was developed for automated data acquisition with the purpose to study the operational characteristics and stability at the passively mode-locked fiber laser (figure-eight laser, F8L) output. Moreover, the evolution of the polarization state and the behavior of the pulses are analyzed when polarization is changed by proper control plate adjustments. The data is processed using deep learning techniques, which provide the characteristics of the pulse at the output. Therefore, the parameter classification-identification is in accordance with the input polarization tilt used for the laser optimization.

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Wagner, Jerrit, Christian G. Berger, Xiaoyan Du, Tobias Stubhan, Jens A. Hauch, and Christoph J. Brabec. "The evolution of Materials Acceleration Platforms: toward the laboratory of the future with AMANDA." Journal of Materials Science 56, no. 29 (July 23, 2021): 16422–46. http://dx.doi.org/10.1007/s10853-021-06281-7.

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AbstractThe development of complex functional materials poses a multi-objective optimization problem in a large multi-dimensional parameter space. Solving it requires reproducible, user-independent laboratory work and intelligent preselection of experiments. However, experimental materials science is a field where manual routines are still predominant, although other domains like pharmacy or chemistry have long used robotics and automation. As the number of publications on Materials Acceleration Platforms (MAPs) increases steadily, we review selected systems and fit them into the stages of a general material development process to examine the evolution of MAPs. Subsequently, we present our approach to laboratory automation in materials science. We introduce AMANDA (Autonomous Materials and Device Application Platform - www.amanda-platform.com), a generic platform for distributed materials research comprising a self-developed software backbone and several MAPs. One of them, LineOne (L1), is specifically designed to produce and characterize solution-processed thin-film devices like organic solar cells (OSC). It is designed to perform precise closed-loop screenings of up to 272 device variations per day yet allows further upscaling. Each individual solar cell is fully characterized, and all process steps are comprehensively documented. We want to demonstrate the capabilities of AMANDA L1 with OSCs based on PM6:Y6 with 13.7% efficiency when processed in air. Further, we discuss challenges and opportunities of highly automated research platforms and elaborate on the future integration of additional techniques, methods and algorithms in order to advance to fully autonomous self-optimizing systems—a paradigm shift in functional materials development leading to the laboratory of the future.

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Trier, Øivind due. "AUTOMATIC MAPPING OF FOREST DENSITY FROM AIRBORNE LIDAR DATA." Geodesy and Cartography 41, no. 2 (October 25, 2015): 49–65. http://dx.doi.org/10.3846/20296991.2015.1051342.

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This paper presents new methods for the automatic mapping of vegetation from airborne lidar data. The methods are developed specifically for orienteering maps, which are detailed maps in scale 1:15,000 or 1:10,000 of forested areas. However, the methods may be modified to be used for automatic mapping of vegetation for national topographic map series in various scales, e.g., 1:25,000 or 1:50,000. We introduce the normalized difference vegetation density (NDVD) as an indicator of vegetation density in airborne lidar data. A modified version of NDVD is used for reduced runability mapping. By comparing pixel-by-pixel the automatic mapping with the manual survey in four different forest areas in Oslo, Norway, the correct classification rate varies from 71% to 75%. However, close investigation reveals that the automatic mapping is better than manual survey for open areas. On the other hand, the automatic mapping of reduced runability remains a difficult problem. In many cases, the automatic method is able to identify the major areas of reduced runability, while in other areas the correspondence is low between the automatic mapping and manual survey of reduced runability. Still, the automatic method may be used to quickly produce an initial mapping of reduced runability, or in the production of orienteering maps in remote areas where a full manual survey cannot be afforded.

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Plósz, Benedek Gy, Helge Liltved, and Harsha Ratnaweera. "Climate change impacts on activated sludge wastewater treatment: a case study from Norway." Water Science and Technology 60, no. 2 (July 1, 2009): 533–41. http://dx.doi.org/10.2166/wst.2009.386.

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We present an investigation on climate change effects on a wastewater treatment system that receive sewage collected in a combined sewer system in Oslo, Norway, during winter operation. Results obtained, by contrasting meteorological data with sewage data, show that wastewater treatment plant (WWTP) influent flow rates are significantly increased during temporary snow melting periods above a critical daily air mean temperature of approx. −1.5°C degree (TCrit) identified in the area. In order to assess melting patterns, the number of days above and below TCrit was assessed, and the annual number of melting periods was additionally evaluated using meteorological data obtained in the last decade. A striking thing about the daily air temperature pattern is that, despite the progressively warmer winter temperatures in the last decade, an increasing number of days with temperatures below −1.5°C could be observed. The frequency of melting periods is shown to increase in wintertime, and it is identified as an additional climate change related factor in the Oslo region. We demonstrate that these impacts can deteriorate the WWTP operation through progressively increasing the relative frequencies of very high influent flow rate and of the very low influent sewage temperature. Such climate change related effects on sewage treatment processes can be characterised as shock-conditions, i.e. significant changes in a system’s boundary conditions, occurring in a relatively short period of time. In the six year period examined, biological nitrogen removal and secondary clarification processes are shown to be significantly affected by the climate factors. A striking thing about using the state-of-the-art mathematical models of wastewater treatment processes in decision support systems is their inability of describing, and thus predicting the effects of such shock-loading events, as they have not been studied so far. Adaptation and optimisation of process models, also for use in design, optimisation as well as in real-time automation and process control schemes, are thus critical to meet the challenges of climatic changes in the future.

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Clausen, Lasse B. N., and Hannes Nickisch. "Automatic Classification of Auroral Images From the Oslo Auroral THEMIS (OATH) Data Set Using Machine Learning." Journal of Geophysical Research: Space Physics 123, no. 7 (July 2018): 5640–47. http://dx.doi.org/10.1029/2018ja025274.

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13

Das, Dev Kumar, Subhranil Koley, Surajit Bose, Asok Kumar Maiti, Bhaskar Mitra, Gopeswar Mukherjee, and Pranab Kumar Dutta. "Computer aided tool for automatic detection and delineation of nucleus from oral histopathology images for OSCC screening." Applied Soft Computing 83 (October 2019): 105642. http://dx.doi.org/10.1016/j.asoc.2019.105642.

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14

Blythe, P. T., Paul Knight, and John Walker. "The Technical and Operational Feasibility of Automatic Number-Plate Recognition as the Primary Means for Road User Charging." Journal of Navigation 54, no. 3 (September 2001): 345–53. http://dx.doi.org/10.1017/s0373463301001485.

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Following the publication of the Government's White Paper on Integrated Transport in July 1998, and a shift in emphasis by Local Authorities away from road building to demand management techniques, the current trend is to a more balanced approach, whereby the use of road-space may be charged to vehicle drivers, i.e. road users pay to use (at least some) roads, just as public transport passengers pay each time they travel. Key to this is the introduction of some form of road user charging or vehicle access control. In urban areas, this may be achieved using paper licences (as in Singapore, 1975–1998), electronic (microwave) tags and transponders (as in Trondheim and Oslo, Norway and in Singapore since 1998) or by the use of automatic video-based licence-plate recognition (ALPR). The use of video-based registration to check whether a vehicle has purchased (or been granted) some form of licence rights to use a particular road or cordoned area on a particular day seems both logical and attractive. However, this form of urban road use pricing has not been operated in anything other than small-scale pilot schemes, and there are a significant number of technical, organisational and operational issues that need to be researched before such a system could safely be implemented for everyday use. This paper is specifically aimed at addressing such key issues, to determine whether in the short term (next 5 years) ALPR could deliver a practical tool for use by local authorities, whether in isolation or as part of a package of applications, to reduce traffic congestion within urban areas.

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15

Schøyen, Halvor, Karina Hjelmervik, Hao Wang, and Ottar Osen. "Measuring Container Port Complementarity and Substitutability with Automatic Identification System (AIS) Data – Studying the Inter-port Relationships in the Oslo Fjord Multi-port Gateway Region." TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation 11, no. 2 (2017): 79–84. http://dx.doi.org/10.12716/1001.11.02.08.

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16

Ruus, Hanne. "Janne Bondi Johannessen: Automatisk morfologisk analyse og syntese. Tonivåmodellen benyttet på norsk substantivbøying. Written in Norwegian with an English abstract (pp. 11–17). Oslo-studier i språkvitenskap 8. Novus Forlag, Oslo1990. 139 pp. ISBN 82-7099-150-3." Nordic Journal of Linguistics 16, no. 1 (June 1993): 57–59. http://dx.doi.org/10.1017/s0332586500002687.

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17

Darlow, Genevieve, James O. B. Rotimi, and Wajiha Mohsin Shahzad. "Automation in New Zealand's offsite construction (OSC): a status update." Built Environment Project and Asset Management ahead-of-print, ahead-of-print (March 25, 2021). http://dx.doi.org/10.1108/bepam-11-2020-0174.

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PurposeAutomation facilitates production activities within offsite construction (OSC) projects through computer-controlled and mechanised systems that can be programmed to deliver various products in a self-regulating sequence. Despite known benefits of automation to offsite production, the level of automation adoption in New Zealand is low. This study is an effort to understand the current status of automation within the New Zealand construction industry and to identify the barriers and enablers to its uptake.Design/methodology/approachThis study utilises the qualitative approach of semi-structured interviews (open-ended questions). Using a referral sampling strategy (snowballing), fifteen New Zealand industry experts were interviewed, and the data collected were analysed using qualitative content analysis.FindingsThe study found that there is a weak business case for full automation. Four main categories of barriers to the uptake of automated OSC were identified, including requirement of high capital cost, lack of education about automation and OSC and non-existence of regulations to support OSC. It was noted that financial supports to the OSC sub-sector in form of subsidies, tax waivers, and enhanced leasing model could enhance the uptake of automation. Further to this more awareness about OSC's automation and regulations suitable for OSC could enhance the confidence of business owners to invest in this area.Originality/valueOriginality of this paper stems from the fact that, not much attention has been paid to investigating the uptake of automation for OSC sub-sector of construction industry in New Zealand context.

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Ginigaddara, Buddhini, Srinath Perera, Yingbin Feng, and Payam Rahnamayiezekavat. "An evaluation of offsite construction skill profiles." Journal of Financial Management of Property and Construction ahead-of-print, ahead-of-print (February 22, 2021). http://dx.doi.org/10.1108/jfmpc-08-2020-0057.

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Purpose This paper aims to evaluate the existing and emerging Offsite Construction (OSC) skills. Construction industry is inherently labour oriented, fashioning poor labour productivity, low sustainability, slow and costly processes. These shortcomings promote OSC alongside driving forces such as industrialisation, automation and digitalisation. However, the traditional construction skills are not on par with the complexity, where robots, co-bots and digital-driven automated systems create the need for novel OSC skills. Design/methodology/approach Data collection is executed through a Roundtable activity hosting Construction Management academics form Australian universities specialising in construction technology. They engaged in ranking of skills along with creating a word cloud for the question, “what are the future construction skills that will be more beneficial in an OSC platform?” Word cloud is reviewed in a discussion approach while skills ranking data is analysed using descriptive statistics. Findings The most prominent OSC skills are logistics manager, project manager and digital producer. Attributes of skills that come under construction trades workers, design, engineering and specialist professionals will vary based on onsite-offsite percentage combination in a construction project. Study reviews the required construction skills at two ends of a continuum featuring the trade-based skills; bricklayer, concreter and carpenter at one end (traditional build) and the heavily digitalised and automated skills at the other end (OSC). The noticeable transition towards OSC urges industry practitioners, policy-makers and education providers to focus on understanding and cultivating key OSC skills. Originality/value This study describes the transition of skills from onsite to OSC. It is presented as one of the earliest attempts to evaluate OSC skill profiles.

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Bick, Eckhard, and Anabela Barreiro. "Automatic Anonymisation of a new Portuguese-English Parallel Corpus in the Legal-Financial Domain." Oslo Studies in Language 7, no. 1 (March 31, 2015). http://dx.doi.org/10.5617/osla.1460.

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Este artigo apresenta o processo de anonimização automática de entidades mencionadas num novo corpo paralelo pesquisável do domínio jurídico-financeiro para o par de línguas português-inglês. O corpo resulta de memórias de tradução utilizadas em tradução profissional. Contém cerca de 40.000 pares de frases alinhadas, ou seja, frases que são traduções umas das outras. A anotação das entidades mencionadas foi feita com regras especiais da Gramática de Restrições otimizadas para o domínio jurídico-financeiro, que permitiram alcançar uma abrangência balanceada em termos de precisão de quase 90% para as entidades mencionadas candidatas (pessoa, organização, endereço e identificadores pessoais) e uma abrangência consideravelmente superior com modificações heurísticas e otimizadas para a produção. O corpo destina-se a estudos de tradução e à linguística computacional (tradução automática estatística) e será publicamente pesquisável, permitindo ao seu utilizador procurar uma palavra ou expressão e devolvendo os resultados da pesquisa em contexto na língua da busca e na sua tradução.

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Journal articles on the topic 'OSLC Automation'

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