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Anticipated cell lines selection in bioprocess scale-up through machine learning on metabolomics dynamics

IFAC-PapersOnLine 2021年第3期54卷 85-90页

作者： Gianmarco Barberi Antonio Benedetti Paloma diaz-Fernandez Gary Finka Fabrizio Bezzo Massimiliano Barolo Pierantonio Facco CAPE-Lab - Computer Aided Process Engineering Laboratory Padova 35138 Italy Biopharm Process Research GlaxoSmithKline R&D Stevenage UK Process Engineering & Analytics GlaxoSmithKline R&D Stevenage UK

The development of biopharmaceutical therapeutics, such as monoclonal antibodies, requires the testing of several cell lines at different development scales and the selection of the high performing cell lines which allow meeting the desired quality attributes of the product. In this context, data analytics, which is extremely useful for a better process understanding and a faster scale-up, can be used to understand the relation between biological information, such as cell metabolism, and process productivity. This study shows that monoclonal antibodies end-point titer can be estimated in the early stages of the industrial product development for cell line selection using information on cell metabolism dynamics. This allows the anticipated identification of the high-performing cell lines, and a better understanding of the relationships between the time evolution of both the metabolic information and the product titer.

关键词： biopharmaceutical development scale-up monoclonal antibodies data analytics multivariate statistics metabolomics

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dELS-MVS: deep Epipolar Line Search for Multi-View Stereo

arXiv

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arXiv 2022年

作者： Sormann, Christian Santellani, Emanuele rossi, Mattia Kuhn, Andreas Fraundorfer, Friedrich Graz University of Technology Institute of Computer Graphics and Vision Austria Sony Europe B.V. R&D Center Stuttgart Laboratory 1 Germany

We propose a novel approach for deep learning-based Multi-View Stereo (MVS). For each pixel in the reference image, our method leverages a deep architecture to search for the corresponding point in the source image directly along the corresponding epipolar line. We denote our method dELS-MVS: deep Epipolar Line Search Multi-View Stereo. Previous works in deep MVS select a range of interest within the depth space, discretize it, and sample the epipolar line according to the resulting depth values: this can result in an uneven scanning of the epipolar line, hence of the image space. Instead, our method works directly on the epipolar line: this guarantees an even scanning of the image space and avoids both the need to select a depth range of interest, which is often not known a priori and can vary dramatically from scene to scene, and the need for a suitable discretization of the depth space. In fact, our search is iterative, which avoids the building of a cost volume, costly both to store and to process. Finally, our method performs a robust geometry-aware fusion of the estimated depth maps, leveraging a confidence predicted alongside each depth. We test dELS-MVS on the ETH3d, Tanks and Temples and dTU benchmarks and achieve competitive results with respect to state-of-the-art approaches. Copyright © 2022, The Authors. All rights reserved.

关键词： Iterative methods

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Spectral modeling and experimental validation of optical domain equalization for filtering mitigation

Spectral modeling and experimental validation of optical dom...

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International Conference on Optical Communications and Networks (ICOCN)

作者： Yuting du Wenbo Yu Yuan Lu Hu Shi Xiao Chen Zhenhua Feng WDM System Department State Key Laboratory of Mobile Network and Mobile Multimedia Technology ZTE Corporation Wuhan China Shandong P&T Planning and Designing institute Co. Ltd Jinan China WDM system design department of wireline product R&D institute ZTE Corporation Nanjing China

An accurate model for optical domain equalization is proposed and verified with experiments. The modeled spectra fit well with measured curves, and prediction accuracy is better than 0.2 dB if used for filtering penal...

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Md-Net: Multi-detector for Local Feature Extraction

arXiv

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arXiv 2022年

作者： Santellani, Emanuele Sormann, Christian rossi, Mattia Kuhn, Andreas Fraundorfer, Friedrich Institute of Computer Graphics and Vision Graz University of Technology Austria R&D Center Stuttgart Laboratory 1 Sony Europe B.V. Germany

Establishing a sparse set of keypoint correspondences between images is a fundamental task in many computer vision pipelines. Often, this translates into a computationally expensive nearest neighbor search, where every keypoint descriptor at one image must be compared with all the descriptors at the others. In order to lower the computational cost of the matching phase, we propose a deep feature extraction network capable of detecting a predefined number of complementary sets of keypoints at each image. Since only the descriptors within the same set need to be compared across the different images, the matching phase computational complexity decreases with the number of sets. We train our network to predict the keypoints and compute the corresponding descriptors jointly. In particular, in order to learn complementary sets of keypoints, we introduce a novel unsupervised loss which penalizes intersections among the different sets. Additionally, we propose a novel descriptor-based weighting scheme meant to penalize the detection of keypoints with non-discriminative descriptors. With extensive experiments we show that our feature extraction network, trained only on synthetically warped images and in a fully unsupervised manner, achieves competitive results on 3d reconstruction and re-localization tasks at a reduced matching complexity. Copyright © 2022, The Authors. All rights reserved.

关键词： Feature extraction

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Modeling of doubly Fed Wind Power Generation system and Simulation Study on Grid-Connection Stability

Modeling of Doubly Fed Wind Power Generation System and Simu...

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Intelligent Power and systems (ICIPS), International Conference on

作者： Jingyue Zhang Jie Zhang Yufeng Hu Yuanhong Lu Libin Huang Yanjun Zhao Haiping Guo State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou 510663 China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou 510663 China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou 510663 China Southern Power Grid Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou 510663 China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou 510663 Guangzhou China

ISBN: (数字)9798331532765

ISBN: (纸本)9798331532772

Addressing the stability challenges posed by the unpredictability and intermittent nature of wind power output during grid integration, and aiming to enhance the understanding of factors influencing grid stability upon wind power system connection and to implement efficient control measures, a grid- connected model of a doubly fed induction generator (dFIG) was established utilizing a customized version of the rTrES (real-Time Power system Simulation) software, specifically designed for emerging power systems and aligned with wind farm realities. Stability simulations for grid connection were conducted under both voltage regulation mode and reactive power regulation mode across a range of wind speeds, revealing distinct technical behaviors. The findings suggest that the generator's terminal voltage, terminal current, active power, reactive power, and rotor speed exhibit strong correlations with variations in wind speed, and that all parameters are capable of stabilizing following initial disturbances.

关键词： reactive power Wind speed rotors Power system stability Wind power generation Stability analysis Software regulation Wind turbines Voltage control

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In-situ detection equipment for radon-in-water:unattended operation and monthly investigations

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Acta Oceanologica Sinica 2023年第8期42卷 178-184页

作者： Chunqian Li Meng Li Guangquan Chen Huaming Yu Chenglun Zhang Wen Liu Jinjia Guo Shibin Zhao Lijun Song Xiliang Cui Ying Chai Lu Cao diansheng Ji Bochao Xu Faculty of Information Science and Engineering Ocean University of ChinaQingdao 266100China R&D Center for Marine Instruments and Apparatuses Qingdao Marine Science and Technology CenterQingdao 266200China Key Laboratory of Marine Sedimentology and Environmental Geology First Institute of OceanographyMinistry of Natural ResourcesQingdao 266061China College of Oceanic and Atmospheric Sciences Ocean University of ChinaQingdao 266100China Frontiers Science Center for Deep Ocean Multispheres and Earth System/Key Laboratory of Marine Chemistry Theory and Technology of Ministry of Education Ocean University of ChinaQingdao 266100China College of Chemistry and Chemical Engineering Ocean University of ChinaQingdao 266100China Institute of Oceanographic Instrumentation Shandong Provincial Key Laboratory of Ocean Environmental Monitoring Techno1ogyQilu University of Technology(Shandong Academy of Sciences)Qingdao 266061China Yantai Marine Environment Monitoring Central Station of State Oceanic Administration Yantai 264003China

radon is recognized as a powerful tracer of certain geophysical processes in marine and aquatic *** the past few decades,the instruments and methods for measuring radon concentration in water have been developed to some extent but still lack underwater in-situ *** we present an in-situ detection equipment for radon-in-water(pulsed ionization chamber(PIC)-radon)to measure dissolved radon in ocean and groundwater *** equipment has been successfully deployed in the Jiaozhou Bay in July 2022 and has achieved 14 d of unattended underwater in-situ *** it was successfully placed in a groundwater monitoring well in the Laizhou Bay in November 2022 and monitored radon activities for over 30 *** results showed that this instrument had a good indication of submarine groundwater *** PIC-radon detector takes advantage of smaller size,lower power consumption,and is barely influenced by humidity,making it particularly suitable for long-term in-situ measurement,especially in harsh environments with limited human care or deployment spaces.

关键词： radon pulsed ionization chamber(PIC) in-situ measurement membrane groundwater ocean

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CAT: LoCalization and IdentificAtion Cascade detection Transformer for Open-World Object detection

arXiv

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arXiv 2023年

作者： Ma, Shuailei Wang, Yuefeng Wei, Ying Fan, Jiaqi Li, Thomas H. Liu, Hongli Lv, Fanbing Northeast University Shenyang China Information Technology R&D Innovation Center of Peking University China School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen China Changsha Hisense Intelligent System Research Institute Co Ltd China

Open-world object detection (OWOd), as a more general and challenging goal, requires the model trained from data on known objects to detect both known and unknown objects and incrementally learn to identify these unknown objects. The existing works which employ standard detection framework and fixed pseudo-labelling mechanism (PLM) have the following problems: (ii) The inclusion of detecting unknown objects substantially reduces the model’s ability to detect known ones. (ii) The PLM does not adequately utilize the priori knowledge of inputs. (iii) The fixed selection manner of PLM cannot guarantee that the model is trained in the right direction. We observe that humans subconsciously prefer to focus on all foreground objects and then identify each one in detail, rather than localize and identify a single object simultaneously, for alleviating the confusion. This motivates us to propose a novel solution called CAT: LoCalization and IdentificAtion Cascade detection Transformer which decouples the detection process via the shared decoder in the cascade decoding way. In the meanwhile, we propose the self-adaptive pseudo-labelling mechanism which combines the model-driven with input-driven PLM and self-adaptively generates robust pseudo-labels for unknown objects, significantly improving the ability of CAT to retrieve unknown objects. Experiments on two benchmarks, ***, MS-COCO and PASCAL VOC, show that our model outperforms the state-of-the-art methods. The code is publicly available at https://***/xiaomabufei/CAT. Copyright © 2023, The Authors. All rights reserved.

关键词： Object detection

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Human Action recognition Using difference of Gaussian and difference of Wavelet

引用

Big data Mining and Analytics 2023年第3期6卷 336-346页

作者： Gopampallikar Vinoda reddy Kongara deepika Lakshmanan Malliga duraivelu Hemanand Chinnadurai Senthilkumar Subburayalu Gopalakrishnan Yousef Farhaoui Department of Computer Science and Engineering(AI&ML) CMR Technical CampusHyderabad 501401India. Department of Information Technology Kakatiya Institute of Technology and ScienceWarangal 506015India. Department of Electronics and Communication Engineering Malla Reddy Engineering College for Women(Autonomous)Hyderabad 500100India. Department of Computer Science and Engineering S.A.Engineering College(Autonomous)Thiruverkadu 600077India. Department of Electronics and Communication Engineering Saveetha Institute of Medical and Technical Sciences(SIMATS)Chennai 602105India. Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai 600062India. IDMS Team STI LaboratoryFaculty of Sciences and TechniquesMoulay Ismail University of MeknèsErrachidia 25003Morocco.

Human Action recognition(HAr)attempts to recognize the human action from images and *** major challenge in HAr is the design of an action descriptor that makes the HAr system robust for different environments.A novel action descriptor is proposed in this study,based on two independent spatial and spectral *** proposed descriptor uses a difference of Gaussian(doG)filter to extract scale-invariant features and a difference of Wavelet(doW)filter to extract spectral *** create a composite feature vector for a particular test action picture,the discriminant of Guassian(doG)and difference of Wavelet(doW)features are *** discriminant Analysis(LdA),a widely used dimensionality reduction technique,is also used to eliminate duplicate ***,a closest neighbor method is used to classify the *** and UCF 11 datasets were used to run extensive simulations of the suggested strategy,and the accuracy assessed after the simulations were run on Weizmann datasets for five-fold cross validation is shown to perform *** average accuracy of doG+doW is observed as 83.6635%while the average accuracy of discrinanat of Guassian(doG)and difference of Wavelet(doW)is observed as 80.2312%and 77.4215%,*** average accuracy measured after the simulation of proposed methods over UCF 11 action dataset for five-fold cross validation doG+doW is observed as 62.5231%while the average accuracy of difference of Guassian(doG)and difference of Wavelet(doW)is observed as 60.3214%and 58.1247%,*** the above accuracy observations,the accuracy of Weizmann is high compared to the accuracy of UCF 11,hence verifying the effectiveness in the improvisation of recognition accuracy.

关键词： human action recognition difference of Gaussian difference of wavelet linear discriminant analysis Weizmann UCF 11 accuracy

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research on Wind Turbine Control Hardware in Loop real-time Simulation and its Application

Research on Wind Turbine Control Hardware in Loop Real-time ...

引用

Sustainable Power and Energy Conference (iSPEC)

作者： Guanming Zeng Liang Tu Yihua Zhu Chengxiang Li Mingqun Liu Peng He State Key Laboratory of HVDC and CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid and National Energy Power Grid Technology R&D Centre and Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou Guangdong Yunnan Power Grid Co. Ltd. Electric Power Research Institute Kunming Yunnan

With the construction of new power system, high-capacity renewable energy sources including wind power are integrated into the power system, whose transient response characteristics have a significant impact on the safe and stable operation of both renewable energy sources and power system. real-time simulation has become an effective method to study interaction between high-capacity renewable energy sources and power system because of its high accuracy and reliability, and precise wind turbine real-time simulation model is of great significance in research mentioned above. Therefore, the wind turbine control hardware in loop (CHIL) real-time simulation method is proposed in the paper, whose feasibility and accuracy are also verified by comparing simulation data from CHIL platform and on-site testing data. It’s further used in the analysis of large-scale offshore wind farm cluster and connected power system as a practical reference case.

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Bringing human perception to validate weather measurements in Smart City: Human-Techno Centric Approach 8

Bringing human perception to validate weather measurements i...

引用

8th IEEE International Smart Cities Conference, ISC2 2022

作者： Founoun, Adnane El Ghazouani, Laila Haqiq, Abdelkrim Hayar, Aawatif radoine, Hassan Hassan First University of Settat Faculty of Sciences and Techniques Computer Networks Mobility and Modeling Laboratory: IR2M Settat26000 Morocco School of Architecture Planning and Design Mohammed Vi Polytechnic University Benguerir Morocco Ritm Lab R&d Centre Hassan Ii University Ced ENSEM/TICDev Casablanca Morocco

ISBN: (数字)9781665485616

ISBN: (纸本)9781665485616

To provide different services to smart cities, many new approaches were used, including the strategic approach and the techno-human-centric approach. When it combines both the human aspect through its sensitivities and the technical aspect of data management to enable the city's stakeholders to act better. Indeed, a new governance framework is possible through the introduction of human intelligence to answer specific questions. It's about putting citizens at the center of the smart city issue while putting a coalition with new technologies. In this paper, we suggest validation of weather data, temperature, and wind, according to citizens' perceptions through a gaming scenario. The use of this mobile platform will assist stakeholders towards a roadmap for future urban design. This will be done by building up a database of citizens' perceptions and appreciations. Also, the wide range of sites of interest will allow an urban promotion and accompany the cultural life of the city. This will be possible by inviting subscribers to go and visit these places subject to promotions. © 2022 IEEE.

关键词： Climate change

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