Academic literature on the topic 'OSLC Automation'

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Journal articles on the topic "OSLC Automation"

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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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Dissertations / Theses on the topic "OSLC Automation"

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Vašíček, Ondřej. "Adaptér OSLC pro analýzu softwaru." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445498.

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Cílem této práce je poskytnout snadný způsob, jak rozšířit analyzační nástroj o rozhraní splňující standard OSLC. Takové rozhraní umožňuje jednoduchou integraci nástrojů s jinými nástroji nebo systémy, umožňuje jejich vzdálené použití skrze webové služby a umožňuje je jednoduše propojit s databází pro databázové dotazy a pro perzistentní uložení dat. Toto je dosaženo návrhem a implementací OSLC adaptéru pomocí sady nástrojů Eclipse Lyo. Adaptér používá jako rozhraní doménu OSLC Automation a je dostatečně univerzální na to, aby skrze toto rozhraní pokryl funkcionalitu většiny analyzačních nástrojů za pomocí jejich stávajících rozhraní na příkazové řádce. Tato práce poskytuje úvod k OSLC, Eclipse Lyo a souvisejícím konceptům. Dále tato práce definuje požadavky a odlišnosti různých analyzačních nástrojů a diskutuje návrh adaptéru a faktory, které ovlivnily návrhová rozhodnutí. A nakonec prezentuje implementovaný adaptér a jeho vyhodnocení pomocí automatizované testovací sady a pomocí experimentů s řadou analyzačních nástrojů. Nejvýznamnější ukazatel hodnocení vytvořeného adaptéru je to, že už teď je používán v praxi pro přidání OSLC rozhraní k nástrojům ANaConDA, Perun, Spectra (všechny tři vyvíjené na VeriFIT) a HiLiTE (Honeywell).
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Books on the topic "OSLC Automation"

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Prasad, H. N., Aditya Tripathi, and Rajani Mishra. Open source library solutions (OSLS). New Delhi, India: Ess Ess Pub., 2010.

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Universitetsbiblioteket i Oslo. Arbeidsgruppe for automatisert utlån. Automatisert utlån i Hovedbiblioteket: Publikumstjenesten og Norsk musikksamling. Oslo: Universitetsbiblioteket i Oslo, 1991.

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Vehicle, Navigation and Information Systems Conference (3rd 1992 Oslo Norway). Vehicle navigation & information systems: Conference record of papers presented at the 3rd Vehicle Navigation and Information Systems Conference 1992, Reso Hotel Oslo Plaza, Sonja Henies Plass 3, 0107 Oslo, Norway, September 2-4, 1992. [New York]: Institute of Electrical and Electronics Engineers, 1992.

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Vehicle navigation & information systems: Conference record of papers presented at the 3rd Vehicle Navigation and Information Systems Conference 1992, ... 3, 0107 Oslo, Norway, September 2-4, 1992. Institute of Electrical and Electronics Engineers, 1992.

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Vehicle navigation & information systems: Conference record of papers presented at the 3rd Vehicle Navigation and Information Systems Conference 1992, ... 3, 0107 Oslo, Norway, September 2-4, 1992. Institute of Electrical and Electronics Engineers, 1992.

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Book chapters on the topic "OSLC Automation"

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Wrigley, Paul, Paul Wood, Sam O’Neill, Richard Hall, and Daniel Robertson. "Factory Manufactured Modular Construction of Process Plants." In Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210039.

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Off-Site Modular Construction (OSMC) research has been a growing research area over the past two decades because of low productivity in construction. Tools are superior in factories and productivity is much higher compared to a stick built site. This has spawned the development small, factory built, rapidly deployable and flexible process plants to take advantage of the gains in OSMC productivity. Chemical process plant research is studying fast, automated design and configuration. In this paper, a literature review was performed on modular factory manufactured process plants. The literature review found that moving to small scale OSMC plant systems could enable cost and schedule savings and months of design time compared to the previous on-site assembly design. It was also found that while automation has been applied in earlier stages of the plant design process, a layout optimisation methodology has not been applied to small OSMC process plants. The paper then proposes to utilise a mathematical layout optimisation model to help design and construct modular process plants and considers how this may fit into the process plant design process, as well as considering the transport requirements for modules.
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Conference papers on the topic "OSLC Automation"

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Basso, Fábio Paulo, Elder Rodrigues, Maicon Bernardino, Claudia Werner, and Toacy Oliveira. "Implementations Supporting Automated Technology Transfer in MDE as a Service." In I Workshop em Modelagem e Simulação de Sistemas Intensivos em Software. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/mssis.2019.7565.

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Coopetition characterizes scenarios where competing firms establish collaborations for some intent. Here applies foundational studies built on software reuse and asset standards, such as for OSLC and RAS, asset platforms, smart contracts and others that are essential for promoting coopetition in the area. Our contribution is an experience report that provide foundations for technology transfer to software factory coopetition scenarios. Our goal is to characterize some coopetition approaches and tool support assisting Software Engineering (SE) tasks for technology transfer. This paper presents an experience report analyzing multi-case studies, implemented in local scenarios for coopetition, characterizing the research area with a summary of the main findings. The presented results are twofold: 1) With the current tool support in the state-of-the art, automation of SE tasks for technology transfer is feasible to local scenarios; and 2) However, global coopetition scenarios impose new implementation barriers.
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Ma, Haoyi, Rebecca Beiter, Alban Gaultier, Scott T. Acton, and Zongli Lin. "OSLO: Automatic Cell Counting and Segmentation for Oligodendrocyte Progenitor Cells." In 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, 2018. http://dx.doi.org/10.1109/icip.2018.8451410.

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Liao, Wenjiang, Nanping Dong, and Tongshun Fan. "The application of Scilab/Scicos in the lecture of automatic control theory." In 2009 IEEE International Workshop on Open-source Software for Scientific Computation (OSSC 2009). IEEE, 2009. http://dx.doi.org/10.1109/ossc.2009.5416865.

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Xi Zhang, Shihe Chen, Weiwu Yan, and Huihe Shao. "Nonlinear parameter prediction of fossil power plant based on OSC-KPLS." In 2011 International Conference on Information and Automation (ICIA). IEEE, 2011. http://dx.doi.org/10.1109/icinfa.2011.5949078.

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Zhao, Yaqin, Xin Zhong, Guanghui Ren, Shengyang He, and Zhilu Wu. "Modified MMSE-OSIC Detection for Arbitrary-Order Orbital Angular Momentum Multiplexing System." In 2018 13th APCA International Conference on Automatic Control and Soft Computing (CONTROLO). IEEE, 2018. http://dx.doi.org/10.1109/controlo.2018.8439778.

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Srishti, A. K. Baliga, Yamini Pandey, and Brijesh Kumar. "Performance analysis of vertical channel organic thin film transistors using various OSC materials." In 2016 International Conference on Computing, Communication and Automation (ICCCA). IEEE, 2016. http://dx.doi.org/10.1109/ccaa.2016.7813963.

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Pandey, Yamini, A. K. Baliga, Srishti, Shubham Negi, and Brijesh Kumar. "Performance analysis of dual gate-OTFT with variation in OSC thickness and channel length." In 2016 International Conference on Computing, Communication and Automation (ICCCA). IEEE, 2016. http://dx.doi.org/10.1109/ccaa.2016.7813964.

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Lee, Seojoon, Soonwook Kwon, Minkyeong Jeong, Syedmobeen Hasan, and Alexander Kim. "Automated On-Site Quality Inspection and Reporting Technology for Off-Site Construction(OSC)-based Precast Concrete Members." In 37th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2020. http://dx.doi.org/10.22260/isarc2020/0158.

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