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Spectroscopy-Based Food Internal Quality Evaluation with XGBoost Algorithm

Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data, APWeb-WAIM 2018

作者： Li, Lingling Li, Caihong Wu, Yuan Yang, Yi Zhang, Yixuan Zhang, Hairui Wu, Bin Liu, Li Xie, Rong School of Information Science and Engineering Lanzhou University Lanzhou730000 China Silk Road Economic Belt Research Center Lanzhou University Lanzhou730000 China Division of Biological Science University of California at San Diego La Jolla United States Communication and Network Center Lanzhou University Lanzhou730000 China Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education Chongqing400044 China School of Software Engineering Chongqing University Chongqing400044 China School of Computer Science Wuhan University Wuhan430072 China

ISBN: (纸本)9783030012977

In this paper, the combination of Near-Infrared (NIR) spectroscopy and a novel forecasting algorithm called XGBoost was proposed for food internal quality evaluation. First, the original NIR spectral data was preprocessed by Savitzky-Golay smoothing method to reduce the influence of noises. Secondly, the preprocessed spectra was submitted to PCA to extract essential information. Finally, the model was established by using the XGBoost algorithm. The performance of the proposed model was examined by comparing with different models including back propagation neural network (BPNN) and support vector regression (SVR). The results showed that the new proposed model outperformed other two models and this XGBoost-based tool was suitable for food internal quality control. © 2018, Springer Nature Switzerland AG.

关键词： Near infrared spectroscopy

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Rapid, quantitative therapeutic screening for alzheimer's enzymes enabled by optimal signal transduction with transistors

arXiv

引用

arXiv 2019年

作者： Le, Son T. Morris, Michelle A. Cardone, Antonio Guros, Nicholas B. Klauda, Jeffery B. Sperling, Brent A. Richter, Curt A. Pant, Harish C. Balijepalli, Arvind Alternative Computing Group Nanoscale Device Characterization Division National Institute of Standards and Technology GaithersburgMD20899 United States Theiss Research La JollaCA92037 United States Biophysics Group Microsystems and Nanotechnology Division National Institute of Standards and Technology GaithersburgMD20899 United States Information Systems Group Software and Systems Division National Institute of Standards and Technology GaithersburgMD20899 United States University of Maryland Institute for Advanced Computer Studies University of Maryland College ParkMD20742 United States Department of Chemical and Biomolecular Engineering University of Maryland College ParkMD20742 United States Chemical Process and Nuclear Measurements Group Chemical Sciences Division National Institute of Standards and Technology GaithersburgMD20899 United States National Institute of Neurological Disorders and Stroke National Institutes of Health BethesdaMD20892 United States

We show that simple, commercially sourced n-channel silicon field-effect transistors (nFETs) operating under closed loop control exhibit an;«3-fold improvement in pH readout resolution to (7.2±0.3)×10-3at a bandwidth of 10 Hz when compared with the open loop operation commonly employed by integrated ion-sensitive field-effect transistors (ISFETs). We leveraged the improved nFET performance to measure the change in solution pH arising from the activity of a pathological form of the kinase Cdk5, an enzyme implicated in Alzheimer's disease, and showed quantitative agreement with previous measurements. The improved pH resolution was realized while the devices were operated in a remote sensing configuration with the pH sensing element off-chip and connected electrically to the FET gate terminal. We compared these results with those measured by using a custom-built dual-gate 2D field-effect transistor (dg2DFET) fabricated with 2D semi-conducting MoS2 channels and a moderate device gain, a=8. Under identical solution conditions the pH resolution of the nFETs was only 2-fold worse than the dg2DFETs pH resolution of (3.9±0.7)×10-3. Finally, using the nFETs, we demonstrated the effectiveness of a custom polypeptide, p5, as a therapeutic agent in restoring the function of Cdk5. We expect that the straight-forward modifications to commercially sourced nFETs demonstrated here will lower the barrier to widespread adoption of these remote-gate devices and enable sensitive bioanalytical measurements for high throughput screening in drug discovery and precision medicine applications. Copyright © 2019, The Authors. All rights reserved.

关键词： Metals

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Towards a standardization for simulation scenario development in aviation - Panel discussion

Towards a standardization for simulation scenario developmen...

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AIAA Modeling and Simulation Technologies Conference, 2018

作者： Durak, Umut Jafer, Shafagh Beard, Steven D. Reardon, Scott Murphy, James R. Crider, Dennis A. Gerretsen, Arno Lenz, Helge Macchiarella, Nickolas D. Rigby, Kevin T. Torens, Christoph Adolf, Florian-Michael Institute of Flight Systems Braunschweig38108 Germany Embry-Riddle Aeronautical University Daytona BeachFL32114-3900 United States NASA Ames Research Center Moffett Field CA94035 United States National Transportation Safety Board Washington DC20594 United States Amsterdam Netherlands Flight Dynamics and Simulation Department of Electrical Computer Software and Systems Engineering Aerospace Simulation Research and Development Branch Aviation Systems Division Vehicle Simulation Aerospace Operations Operator Performance Training and Simulation Aeronautical Sciences

ISBN: (数字)9781624105289

ISBN: (纸本)9781624105289

Aviation industry is characterized by its broad utilization of modeling and simulation starting from concept demonstration to operator training. Scenario development is an important aspect of any simulation study, however, the community is still lacking of a common understanding and standardized practices. This leads to degraded interoperability and shareability. The American Institute of Aeronautics and Astronautics (AIAA) Modeling and Simulation Technical Committee (MSTC) is recently trying to create a synergy towards development of a standard scenario definition language for aviation by conducting sessions and panel discussions in conferences and launching a working group. This paper presents the recap of the panel discussion that has been carried out as a part of the invited session "Aviation Simulation Scenario Development" in AIAA Modeling and Simulation Technologies Conference of Scitech 2017. © 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Aviation

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Precise pose estimation using landmark feature extraction and blob analysis for bin picking

Precise pose estimation using landmark feature extraction an...

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International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Jihyeong Pyo Jaemin Cho Sangseung Kang Kyekyung Kim Department of Computer Software Engineering Korea University of Science and Technology Daejeon South Korea Intelligent Robotics Research Division Electronics and Telecommunications Research Institute Daejeon South Korea

This paper proposes a method of vision based pose estimation of randomly piled objects. It is necessary to estimate precise rotation angle of picking objects. However, it is non-trivial task because an object placed in every position makes distorted image far from right position image. We propose a precise pose estimation method of bin picking objects. The landmark feature of a picking object is extracted and is used to estimate coarse rotation angle of object. The pose of the object can be precisely estimated by analyzing feature blobs in the landmark. We have experimented to evaluate proposed method in the pilot system, which is constructed like a real manufacturing environment. The experiments have been conducted using 1,000 images. As a result, the pose estimation accuracy of less than 0.154 degree has obtained.

关键词： Pose estimation Robots Estimation error Feature extraction Cameras Dispersion

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Taichi distance for person re-identification

Taichi distance for person re-identification

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Zheng Wang Ruimin Hu Yi Yu Chao Liang Chen Chen State Key Laboratory of Software Engineering School of Computer Wuhan University China Digital Content and Media Sciences Research Division National Institute of Informatics Japan Center for Research in Computer Vision University of Central Florida USA

ISBN: (纸本)9781509041183

Metric learning is an important issue in person re-identification, and Mahalanobis-distance based metric learning methods prevail in this field. All of these approaches can be considered as equivalently projecting all samples to a new metric space and calculating the Euclidean distance there. However, the performance of distinguishing similar samples from dissimilar ones via absolute distance is limited. In this paper, we suggest using relative distance instead. We adopt a bi-target perspective. The core idea is to construct a virtual opposite target for each original target. Then, the similarity between a sample and the others is judged by using both the original and opposite targets of the sample. In this way, we propose a bi-target metric method, named TAICHI distance. Considering simplicity and efficiency, we follow the KISSME metric in this paper. Extensive evaluations on challenging datasets confirm the effectiveness of the proposed method.

关键词： person re-identification metric learning TAICHI distance Persons Metric Metronidazole Euclidean distance Targets Learning methods metric space

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Innovative Diagnostics and Treatment: Nanorobotics and Stem Cells 1st ed. 2017

引用

丛书名： SpringerBriefs in Applied Sciences and Technology

2017年

作者： Tomasz Jadczyk Ewa Bryndza Tfaily Sachin Mishra Marek Jędrzejek Marta Bołoz Parasuraman Padmanabhan Wojciech Wojakowski Zdeněk Stárek Sylvain Martel Balázs Gulyás

ISBN: (数字)9789811045271

ISBN: (纸本)9789811045264

This book focuses on nanorobotic agents and stem cells for biomedical *** is intended for researchers and clinicians interested in innovative diagnostic and therapeutic strategies based on nanorobots and stem *** presents current advances in the field of molecular machines, which could be applied to generate novel therapeutic-diagnostic systems.

关键词： Biomedical engineering and Bioengineering Cancer Biology Cardiology Microsystems and MEMS Biomedical Research Biomaterials

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Quantum capacitance-limited MoS2 biosensors enable remote label-free enzyme measurements

arXiv

引用

arXiv 2018年

作者： Le, Son T. Guros, Nicholas B. Bruce, Robert C. Cardone, Antonio Amin, Niranjana D. Zhang, Siyuan Klauda, Jeffery B. Pant, Harish C. Richter, Curt A. Balijepalli, Arvind Nanoscale Device Characterization Division National Institute of Standards and Technology GaithersburgMD20899 United States Theiss Research San DiegoCA92037 United States Microsystems and Nanotechnology Division National Institute of Standards and Technology GaithersburgMD20899 United States Department of Chemical and Biomolecular Engineering University of Maryland College ParkMD20742 United States Software and Systems Division National Institute of Standards and Technology GaithersburgMD20899 United States University of Maryland Institute for Advanced Computer Studies University of Maryland College ParkMD20742 United States National Institute of Neurological Disorders and Stroke National Institutes of Health BethesdaMD20892 United States

We have demonstrated atomically thin, quantum capacitance-limited, field-effect transistors (FETs) that enable the detection of pH changes with»75-fold higher sensitivity (4.4 V/pH) over the Nernst value of 59 mV/pH at room temperature when used as a biosensor. The transistors, which are fabricated from a monolayer of MoS2 with a room temperature ionic liquid (RTIL) in place of a conventional oxide gate dielectric, exhibit very low intrinsic noise resulting in a pH limit of detection (LOD) of 92´10-6 at 10 Hz. This high device performance, which is a function of the structure of our device, is achieved by remotely connecting the gate to a pH sensing element allowing the FETs to be reused. Because pH measurements are fundamentally important in biotechnology, the low limit of detection demonstrated here will benefit numerous applications ranging from pharmaceutical manufacturing to clinical diagnostics. As an example, we experimentally quantified the function of the kinase Cdk5, an enzyme implicated in Alzheimer's disease, at concentrations that are 5-fold lower than physiological values, and with sufficient time-resolution to allow the estimation of both steady-state and kinetic parameters in a single experiment. The high sensitivity, low LOD and fast turnaround time of the measurements will allow the development of early diagnostic tools and novel therapeutics to detect and treat neurological conditions years before currently possible. Copyright © 2018, The Authors. All rights reserved.

关键词： Enzyme activity

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The need to implement FAIR principles in biomolecular simulations

arXiv

引用

arXiv 2024年

作者： Amaro, R. Åqvist, J. Bahar, I. Battistini, F. Bellaiche, A. Beltran, D. Biggin, P.C. Bonomi, M. Bowman, G.R. Bryce, R. Bussi, G. Carloni, P. Case, D. Cavalli, A. Chang, C.A. Cheatham, T.E. Cheung, M.S. Chipot, C. Chong, L.T. Choudhary, P. Cisneros, G.A. Clementi, C. Collepardo-Guevara, R. Coveney, P. Covino, R. Crawford, T.D. Dal Peraro, M. de Groot, B. Delemotte, L. De Vivo, M. Essex, J. Fraternali, F. Gao, J. Gelpí, J.L. Gervasio, F.L. Gonzalez-Nilo, F.D. Grubmüller, H. Guenza, M.G. Guzman, H.V. Harris, S. Head-Gordon, T. Hernandez, R. Hospital, A. Huang, N. Huang, X. Hummer, G. Iglesias-Fernández, J. Jensen, J.H. Jha, S. Jiao, W. Jorgensen, W.L. Kamerlin, S.C.L. Khalid, S. Laughton, C. Levitt, M. Limongelli, V. Lindahl, E. Lindorff-Larsen, K. Loverde, S. Lundborg, M. Luo, Y.L. Luque, F.J. Lynch, C.I. MacKerell, A. Magistrato, A. Marrink, S.J. Martin, H. McCammon, J.A. Merz, K. Moliner, V. Mulholland, A. Murad, S. Naganathan, A.N. Nangia, S. Noe, F. Noy, A. Oláh, J. O'Mara, M. Ondrechen, M.J. Onuchic, J.N. Onufriev, A. Osuna, S. Palermo, G. Panchenko, A.R. Pantano, S. Parish, C. Parrinello, M. Perez, A. Perez-Acle, T. Perilla, J.R. Pettitt, B.M. Pietropaolo, A. Piquemal, J.-P. Poma, A. Praprotnik, M. Ramos, M.J. Ren, P. Reuter, N. Roitberg, A. Rosta, E. Rovira, C. Roux, B. Röthlisberger, U. Sanbonmatsu, K. Schlick, T. Shaytan, A.K. Simmerling, C. Smith, J.C. Sugita, Y. Świderek, K. Taiji, M. Tao, P. Tikhonova, I.G. Tirado-Rives, J. Tuñón, I. Van Der Kamp, M.W. Van der Spoel, D. Velankar, S. Voth, G.A. Wade, R. Warshel, A. Welborn, V.V. Wetmore, S. Wong, C.F. Yang, L.-W. Zacharias, M. Orozco, M. Department of Molecular Biology University of California San DiegoCA United States Department of Cell and Molecular Biology Uppsala University Uppsala Sweden Laufer Center for Physical and Quantitative Biology Renaissance School of Medicine Stony Brook University Stony BrookNY United States Department of Biochemistry and Cell Biology Renaissance School of Medicine Stony Brook University Stony BrookNY United States Barcelona Spain European Molecular Biology Laboratory European Bioinformatics Institute Hinxton United Kingdom Structural Bioinformatics and Computational Biochemistry Department of Biochemistry University of Oxford Oxford United Kingdom Institut Pasteur Université Paris Cité CNRS UMR 3528 Computational Structural Biology Unit Paris France Department of Biochemistry and Biophysics University of Pennsylvania PhiladelphiaPA United States Division of Pharmacy and Optometry University of Manchester Manchester United Kingdom Scuola Internazionale Superiore di Studi Avanzati-SISSA Trieste Italy Computational Biomedicine Institute of Advanced Simulations IAS-5 Institute for Neuroscience and Medicine INM-9 Forschungszentrum Jülich GmbH Jülich Germany Department of Physics and Universitätsklinikum RWTH Aachen University Aachen Germany Department of Chemistry & Chemical Biology Rutgers University PiscatawayNJ United States Istituto Italiano di Tecnologia Drug Discovery and Development Bologna Italy Lausanne Switzerland Department of Chemistry University of California RiversideCA United States Department of Medicinal Chemistry College of Pharmacy University of Utah Salt Lake CityUT United States Department of Physics University of Washington SeattleWA United States Pacific Northwest National Laboratory RichlandWA United States LIA CNRS-UIUC UMR n°7019 Université de Lorraine Vandœuvre-lès-Nancy France Department of Physics University of Illinois at Urbana-Champaign UrbanaIL United States Department of Biochemistry and Molecular Biol

The communities that embraced data archiving efforts decades ago are now, in the era of data-driven biology, those gaining the most from the AI revolution. The structural biology community was a pioneer in this regard by establishing the Protein Data Bank (PDB) in 1971 and making data accessible using the FAIR (Findable, Accessible, Interoperable and Reusable) principles even before these were articulated [1, 2]. The genomics/bioinformatics community has followed the example, establishing many widely used databases [3, 4]. By contrast, molecular simulation has been anchored in usage paradigms dating back to the seventies, when molecular dynamics (MD) simulation was first applied to study biomacromolecules [5]. At that time, MD was used by theoretical physicists and chemists in "proof of concept" simulations. Still, fifty years later, MD has evolved into a cornerstone molecular biology technique that can provide accurate quantitative analysis and property prediction. MD is now employed by tens of thousands of researchers worldwide, accounting for roughly 15% of global supercomputer usage. Unfortunately, these rich and costly data are not systematically maintained, and when further analyses are required, simulations have to be rerun-an unacceptable situation from scientific, environmental and sustainability standpoints. In this letter, we argue for a collaborative endeavor to archive MD simulation data and describe ongoing efforts to establish cost-effective and sustainable data archiving strategies. © 2024, CC BY-NC-SA.

关键词： Biotic

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Enhancing scenario-centric air traffic control training

Enhancing scenario-centric air traffic control training

引用

AIAA Modeling and Simulation Technologies Conference, 2018

作者： Chhaya, Bharvi Jafer, Shafagh Coyne, William B. Thigpen, Neal C. Durak, Umut Embry-Riddle Aeronautical University Daytona BeachFL32114-3900 United States Academy Oklahoma City OK73169 United States Institute of Flight Systems Braunschweig38108 Germany Department of Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University - Daytona Beach Campus Lehman 343 600 S Clyde Morris Blvd Daytona BeachFL32114-3900 United States Air Traffic Management Embry-Riddle Aeronautical University Daytona Beach Campus 600 S Clyde Morris Blvd Daytona BeachFL32114-3900 United States Air Traffic Division AMA-511C Staff Office Training Branch Enroute Section Advanced Enroute Operations Unit Mike Monroney Aeronautical Center 6500 South MacArthur Blvd Oklahoma CityOK73169 United States Flight Dynamics and Simulation Lilienthalplatz 7 Braunschweig38108 Germany

ISBN: (数字)9781624105289

ISBN: (纸本)9781624105289

As one of the main focuses of Federal Aviation Administration (FAA) Academy, Air Traffic Control (ATC) training program heavily relies on simulation-based training and is constantly looking into optimizing the use of such technologies. On the other hand, ATC simulation scenarios are not only used for training purposes, but also are key components for conducting human performance experiments. From a recent visit at the FAA Academy, it is well apparent that there is an immediate need for a diverse pool of ATC training scenarios available to trainees off-site. Currently, training scenarios are generated manually from a subject-matter-expert’s (i.e. controllers) oral or written briefing. The effort in extracting and verifying operational scenarios and translating them into a machine-understandable language is rather cumbersome and currently conducted completely manual. To address these challenges, here we propose to develop a scenario exploration technology that provides a platform for FAA Academy trainees and instructors to exercise variety of scenarios in the ATC domain. The proposed technology provides a platform for instructors and trainees to explore various training exercises. By taking a model-driven approach and extending the recently proposed domain-specific Aviation Scenario Definition Language (ASDL), we provide ATC scenario specification and exploration platform to easily create a variety of ATC scenarios. Similar to ASDL approach, we first define an ontology for ATC extension, then specify scenario logic using a formal specification language such as statechart, and finally, include a metamodel to allow for scenario modeling. © 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Air traffic control

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H∞ Consensus Control for Uncertain Stochastic Multi-Agent Systems:A Sliding Mode Approach 35

H∞ Consensus Control for Uncertain Stochastic Multi-Agent S...

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第35届中国控制会议

作者： ZHAO Lin JIA Yingmin YU Jinpeng WANG Na DU Junping School of Automation and Electrical Engineering Qingdao University The Seventh Research Division Beihang University (BUAA) Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications

ISBN: (纸本)9781509009107

This paper studies the consensus control problem of stochastic multi-agent systems subject to unknown state nonlinearities and external disturbances.A novel distributed integral-type sliding surface is constructed for each agent,and a sufficient condition based on linear matrix inequalities（LMIs） is given,which can guarantee the system states are mean-square consensus with H disturbance attenuation index on sliding ***,a distributed adaptive sliding mode control（SMC） law with updated law is proposed such that the sliding surface is *** example is included to show the effectiveness of the proposed method.

关键词： Multi-agent systems Stochastic systems H_∞ Sliding mode control External disturbances

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