Relevant bibliographies by topics / Sensing-based control

Academic literature on the topic 'Sensing-based control'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Sensing-based control"

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Li, Shuai, and Ashish Pandharipande. "LED-Based Color Sensing and Control." IEEE Sensors Journal 15, no. 11 (November 2015): 6116–24. http://dx.doi.org/10.1109/jsen.2015.2453408.

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Zhang, Shi Ding, Hai Lian Wang, and Jing Ping Mei. "Sensing Confidence Level-Based Cooperative Spectrum Sensing Algorithm." Applied Mechanics and Materials 380-384 (August 2013): 1499–504. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1499.

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Cooperative spectrum sensing is a key technology to tackle the challenges such as fading or hidden terminal problem in local spectrum sensing of cognitive radio system. Conventional cooperative method can improve the detection performance in some sense, but increase overhead of control channel. In order to reduce the overhead, a new cooperative spectrum sensing algorithm based on confidence level is proposed. In this algorithm, the maximum-eigenvalue-based detection scheme is carried out to obtain the local spectrum detection and the detection probability and false alarm probability of each secondary user are used to estimate the reliability of the sensing decision. The test statistic of the secondary users with high reliability are chosen and sent to fusion center. Then weighted factors of chosen secondary users are derived from creditability values, and the global decision is made by weighted fusion at fusion center. The simulation results show that the proposed algorithm improves the detection probability in the guarantee of the false-alarm probability close to 0 and saves half of the overhead in the control channel.
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Oertel, Carl-Henrik. "Machine vision-based sensing for helicopter flight control." Robotica 18, no. 3 (May 2000): 299–303. http://dx.doi.org/10.1017/s0263574799002192.

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Machine vision-based sensing enables automatic hover stabilization of helicopters. The evaluation of image data, which is produced by a camera looking straight to the ground, results in a drift free autonomous on-board position measurement system. No additional information about the appearance of the scenery seen by the camera (e.g. landmarks) is needed. The technique being applied is a combination of the 4D-approach with two dimensional template tracking of a priori unknown features.
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Hewing, Lukas, Kim P. Wabersich, Marcel Menner, and Melanie N. Zeilinger. "Learning-Based Model Predictive Control: Toward Safe Learning in Control." Annual Review of Control, Robotics, and Autonomous Systems 3, no. 1 (May 3, 2020): 269–96. http://dx.doi.org/10.1146/annurev-control-090419-075625.

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Recent successes in the field of machine learning, as well as the availability of increased sensing and computational capabilities in modern control systems, have led to a growing interest in learning and data-driven control techniques. Model predictive control (MPC), as the prime methodology for constrained control, offers a significant opportunity to exploit the abundance of data in a reliable manner, particularly while taking safety constraints into account. This review aims at summarizing and categorizing previous research on learning-based MPC, i.e., the integration or combination of MPC with learning methods, for which we consider three main categories. Most of the research addresses learning for automatic improvement of the prediction model from recorded data. There is, however, also an increasing interest in techniques to infer the parameterization of the MPC controller, i.e., the cost and constraints, that lead to the best closed-loop performance. Finally, we discuss concepts that leverage MPC to augment learning-based controllers with constraint satisfaction properties.
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Tissera, Ponsuge Surani Shalika, Sangho Choe, and Rajiv Punmiya. "Quorum Sensing-Based Nanonetwork Synchronization." IEEE Wireless Communications Letters 8, no. 3 (June 2019): 893–96. http://dx.doi.org/10.1109/lwc.2019.2898980.

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Costanzo, Marco. "Control of robotic object pivoting based on tactile sensing." Mechatronics 76 (June 2021): 102545. http://dx.doi.org/10.1016/j.mechatronics.2021.102545.

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R. Kalidindi, Ramaprasada, KVSVN Raju, V. Valli Kumari, and C. S. Reddy. "Trust Based Participant Driven Privacy Control in Participatory Sensing." International Journal of Ad hoc, Sensor & Ubiquitous Computing 2, no. 1 (March 24, 2011): 71–84. http://dx.doi.org/10.5121/ijasuc.2011.2107.

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Stieber, M. E., M. McKay, G. Vukovich, and E. Petriu. "Vision-based sensing and control for space robotics applications." IEEE Transactions on Instrumentation and Measurement 48, no. 4 (1999): 807–12. http://dx.doi.org/10.1109/19.779178.

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Hu, Dongming, and Radovan Kovacevic. "Sensing, modeling and control for laser-based additive manufacturing." International Journal of Machine Tools and Manufacture 43, no. 1 (January 2003): 51–60. http://dx.doi.org/10.1016/s0890-6955(02)00163-3.

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Klančar, Gregor, Sašo Blažič, Drago Matko, and Gašper Mušič. "Image-Based Attitude Control of a Remote Sensing Satellite." Journal of Intelligent & Robotic Systems 66, no. 3 (August 16, 2011): 343–57. http://dx.doi.org/10.1007/s10846-011-9621-1.

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Dissertations / Theses on the topic "Sensing-based control"

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Saeidpourazar, Reza. "Microcantilever-based force sensing, control and imaging." Connect to this title online, 2009. http://etd.lib.clemson.edu/documents/1247509027/.

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Allwine, Daniel Alan. "Personal computer based data acquisition, sensing and control." Ohio : Ohio University, 1993. http://www.ohiolink.edu/etd/view.cgi?ohiou1174932273.

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Craver, Matthew David. "Mobile Robot Homing Control Based on Odor Sensing." Thesis, North Carolina State University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3690207.

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Stieber, Michael E. "Aspects of vision-based sensing and control for space robots." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0027/NQ36796.pdf.

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Aalderink, Bernard Johan. "Sensing, monitoring and control for laser based welding of aluminium sheets." Enschede : University of Twente [Host], 2007. http://doc.utwente.nl/58019.

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Zhang, Zhongkai. "Vision-based calibration, position control and force sensing for soft robots." Thesis, Lille 1, 2019. http://www.theses.fr/2019LIL1I001/document.

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La modélisation de robots souples est extrêmement difficile, à cause notamment du nombre théoriquement infini des degrés de liberté. Cette difficulté est accentuée lorsque les robots ont des configurations complexes. Ce problème de modélisation entraîne de nouveaux défis pour la calibration et la conception des commandes des robots, mais également de nouvelles opportunités avec de nouvelles stratégies de détection de force possibles. Cette thèse a pour objectif de proposer des solutions nouvelles et générales utilisant la modélisation et la vision. La thèse présente dans un premier temps un modèle cinématique à temps discret pour les robots souples reposant sur la méthode des éléments finis (FEM) en temps réel. Ensuite, une méthode de calibration basée sur la vision du système de capteur-robot et des actionneurs est étudiée. Deux contrôleurs de position en boucle fermée sont conçus. En outre, pour traiter le problème de la perte d'image, une stratégie de commande commutable est proposée en combinant à la fois le contrôleur à boucle ouverte et le contrôleur à boucle fermée. Deux méthodes (avec et sans marqueur(s)) de détection de force externe pour les robots déformables sont proposées. L'approche est basée sur la fusion de mesures basées sur la vision et le modèle par FEM. En utilisant les deux méthodes, il est possible d'estimer non seulement les intensités, mais également l'emplacement des forces externes. Enfin, nous proposons une application concrète : un robot cathéter dont la flexion à l'extrémité est piloté par des câbles. Le robot est contrôlé par une stratégie de contrôle découplée qui permet de contrôler l’insertion et la flexion indépendamment, tout en se basant sur un modèle FEM
The modeling of soft robots which have, theoretically, infinite degrees of freedom, are extremely difficult especially when the robots have complex configurations. This difficulty of modeling leads to new challenges for the calibration and the control design of the robots, but also new opportunities with possible new force sensing strategies. This dissertation aims to provide new and general solutions using modeling and vision. The thesis at first presents a discrete-time kinematic model for soft robots based on the real-time Finite Element (FE) method. Then, a vision-based simultaneous calibration of sensor-robot system and actuators is investigated. Two closed-loop position controllers are designed. Besides, to deal with the problem of image feature loss, a switched control strategy is proposed by combining both the open-loop controller and the closed-loop controller. Using soft robot itself as a force sensor is available due to the deformable feature of soft structures. Two methods (marker-based and marker-free) of external force sensing for soft robots are proposed based on the fusion of vision-based measurements and FE model. Using both methods, not only the intensities but also the locations of the external forces can be estimated.As a specific application, a cable-driven continuum catheter robot through contacts is modeled based on FE method. Then, the robot is controlled by a decoupled control strategy which allows to control insertion and bending independently. Both the control inputs and the contact forces along the entire catheter can be computed by solving a quadratic programming (QP) problem with a linear complementarity constraint (QPCC)
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Kirkpatrick, Daniel Eugene. "Design of a Hardware Platform for GPS-Based Orientation Sensing." PDXScholar, 2015. https://pdxscholar.library.pdx.edu/open_access_etds/2197.

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Unmanned aerial vehicles (UAV's) have recently gained popularity in military, civil service, agriculture, commercial, and hobby use. This is due in part to their affordability, which comes from advances in component technology. That technology includes microelectromechanical systems (MEMS) for inertial sensing, microprocessor technology for sequential algorithm processing, field programmable gate arrays (FPGA's) for parallel data processing, camera technology, global navigation satellite systems (GNSS's) for navigation, and battery technology such as the high energy density of lithium polymer batteries. Despite the success of the technology to date, there remains development before UAV's should be flying alongside manned aircraft or over populated areas. One concern is that UAV electronics are not as safe, reliable or robust as manned-aircraft electronics because UAV's are not certified by the FAA. Another concern for UAV operation is with control algorithms and sensors, particularly in the estimation of the aircraft state, which is the position, velocity, and orientation of the aircraft. Some problems, such as numerical stability of a control algorithm or flight in windy and turbulent conditions have only been solved for certain conditions of wind, weather, or maneuvers. Outside those conditions, the actual orientation of a flying craft can mislead to the control system, and the control system may not be able to recover without a crash. When pilots fly manned aircraft in instrument meteorological conditions, or conditions of limited visibility of the ground, terrain, and obstacles, the pilot must fly in a manner which avoids abrupt maneuvers which could disturb accuracy of the aircraft's instruments. In a UAV without a pilot, there is a need to estimate the position and orientation of a UAV in an absolute manner unambiguous relative to the Earth. The position and orientation estimate must not depend on carefully controlled flight paths, but instead the estimate must be robust in the presence of UAV flight dynamics. This thesis describes the design, implementation, and evaluation of a hardware platform for GPS based orientation sensing research. In this work, we considered a receiver with three or four RF sections, each connected to an antenna in a triangular or tetrahedral pyramid constellation. Specific requirements for the receiver hardware and functionality were created. Circuitry was designed to meet the requirements using commercial off-the-shelf (COTS) radio frequency (RF) modules, a mid-sized microcontroller, an FPGA, and other supporting components. A printed circuit board (PCB) was designed, fabricated, assembled, and tested. A GPS baseband processor was designed and coded in Verilog hardware description language. The design was synthesized and loaded to the FPGA, and the microcontroller was programmed to track satellites. With the hardware platform implemented, live satellite signals were found and tracked, and experiments were performed to explore the validity of GPS based orientation sensing using short antenna baselines. The platform successfully allows the user to develop correlator designs and explore carrier phase based orientation measurement using only software/Verilog modifications. Initial results of carrier phase based orientation sensing are promising, but the presence of multipath signal interference shows room for improvement to the baseband processing code.
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Schgallis, Richard J. "Phase diversity wavefront sensing for control of space based adaptive optics systems." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Dec%5FSchgallis.pdf.

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Thesis (M.S. in Applied Physics)--Naval Postgraduate School, December 2007.
Thesis Advisor(s): Agrawal, Brij ; Larazza, Andres. "December 2007." Description based on title screen as viewed on January 18, 2008. Includes bibliographical references (p. 53-54). Also available in print.
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Wang, Jun. "Switching-Cycle Control and Sensing Techniques for High-Density SiC-Based Modular Converters." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/83518.

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Nowadays high power density has become an emerging need for the medium-voltage (MV) high-power converters in applications of power distribution systems in urban areas and transportation carriers like ship, airplane, and so forth. The limited footprint or space resource cost such immensely high price that introducing expensive advanced equipment to save space becomes a cost-effective option. To this end, replacing conventional Si IGBT with the superior SiC MOSFET to elevate the power density of MV modular converters has been defined as the concentration of this research work. As the modular multilevel converter (MMC) is the most typical modular converter for high power applications, the research topic is narrowed down to study the SiC MOSFET-based MMC. Fundamentals of the MMC is firstly investigated by introducing a proposed state-space switching model, followed by unveiling all possible operation scenarios of the MMC. The lower-frequency energy fluctuation on passive components of the MMC is interpreted and prior-art approaches to overcome it are presented. By scrutinizing the converter's switching states, a new switching-cycle control (SCC) approach is proposed to balance the capacitor energy within one switching cycle is explored. An open-loop model-predictive method is leveraged to study the behavior of the SCC, and then a hybrid-current-mode (HCM) approach to realize the closed-loop SCC on hardware is proposed and verified in simulation. In order to achieve the hybrid-current-mode SCC (HCM-SCC), a high-performance Rogowski switch-current sensor (RSCS) is proposed and developed. As sensing the switching current is a critical necessity for HCM-SCC, the RSCS is designed to meet all the requirement for the control purposes. A PCB-embedded shielding design is proposed to improve the sensor accuracy under high dv/dt noises caused by the rapid switching transients of SiC MOSFET. The overall system and control validations have been conducted on a high-power MMC prototype. The basic unit of the MMC prototype is a SiC Power Electronics Building Block (PEBB) rated at 1 kV DC bus voltage. Owing to the proposed SCC, the PEBB development has achieved high power density with considerable reduction of passive component size. Finally, experimental results exhibit the excellent performance of the RSCS and the HCM-SCC.
Ph. D.
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Xiong, Rentian. "In situ sensing for chemical vapor deposition based on state estimation theory." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/22711.

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Thesis (Ph. D.)--Chemical and Biomolecular Engineering, Georgia Institute of Technology, 2008.
Committee Chair: Gallivan, Martha; Committee Member: Ferguson, Ian; Committee Member: Henderson, Cliff; Committee Member: Hess, Dennis; Committee Member: Lee, Jay.
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Books on the topic "Sensing-based control"

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Jasani, Bhupendra. The role of space-based surveillance in Gulf security. Abu Dhabi, United Arab Emirates: Emirates Center for Strategic Studies and Research, 1998.

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Jasani, Bhupendra. The role of space-based surveillance in Gulf security. Abu Dhabi: Emirates Center for Strategic Studies and Research, 1998.

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Canada. Dept. of External Affairs., ed. PAXSAT concept: The application of space-based remote sensing for arms control verification. [Ottawa]: External Affairs Canada, 1986.

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Bai, Kun, and Kok-Meng Lee. Permanent Magnet Spherical Motors: Model and Field Based Approaches for Design, Sensing and Control. Springer, 2018.

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Bai, Kun, and Kok-Meng Lee. Permanent Magnet Spherical Motors: Model and Field Based Approaches for Design, Sensing and Control. Springer, 2018.

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Hassett, Mary Ruth. DIFFERENCES IN ATTITUDE TOWARD COMPUTER-BASED VIDEO INSTRUCTION AND LEARNER CONTROL CHOICES MADE BY BACCALAUREATE NURSING STUDENTS OF SENSING AND INTUITIVE PSYCHOLOGICAL TYPE (SENSING PSYCHOLOGICAL TYPE). 1990.

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Kaushik, Sanket, and Nagendra Singh, eds. Current Developments in the Detection and Control of Multi Drug Resistance. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150498791220101.

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The rise in the incidence of infections is caused by multi drug resistant (MDR) bacteria, it is essential to elucidate the basic mechanism of antibiotic resistance to discover effective methods for diagnosis and treatment of infections. The use of pathogen-specific probes offers a faster alternative for pathogen detection and could improve the diagnosis of infection. High resolution melting analysis techniques are useful for the detection of multi drug resistant pathogens. Rational Structural Based Drug Design is a common method to identify a lead compound and take it forward for further developments. This book provides information about recent strategies involved in the diagnosis and treatment of infections caused by MDR bacteria. The volume covers the use of molecular probes for the quantification of pathogenic bacteria, along with other techniques mentioned above. Chapters also cover the use of identification of novel drug targets from the Lipid A biosynthesis and also from quorum sensing mediated biofilm formation in MDR bacteria. Chapters also cover herbal alternatives for the treatment of MDR bacteria like the use of Cassia aungustifolia in treatment of various diseases. The reference is suitable for biomedical students, cellular and molecular biologists.
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Kruusmaa, Maarja. From aquatic animals to robot swimmers. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0044.

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Fish and other aquatic animals have developed a diverse repertoire of locomotion and sensing strategies in an environment that is 800 times denser than air. This chapter explains the underlying principles of aquatic locomotion and describes some landmark biomimetic robots based on those principles. Biological underwater swimmers face the trade-off between speed and manoeuvrability and it is argued that the same trade-off exists also with biomimetic vehicles. Biomimetic underwater vehicles mostly mimic carangiform and subcarangiform swimmers which are fast swimmers. The highly manoeuvrable fish species (lampreys, rays, etc.) are a less popular choice of bioinspiration arguably because of their higher complexity and limitations posed by current technology of electromechanical devices. A unique sensing organ, the lateral line, is utilized by all fish species. Artifical lateral lines for sensing flow are briefly discussed as well as the potential of robot control with the help of flow sensing.
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Anderson, Iain A., and Benjamin M. O’Brien. Muscles. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0020.

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Mechanical devices that include home appliances, automobiles, and airplanes are typically driven by electric motors or combustion engines through gearboxes and other linkages. Airplane wings, for example, have hinged control surfaces such as ailerons. Now imagine a wing that has no hinged control surfaces or linkages but that instead bends or warps to assume an appropriate shape, like the wing of a bird. Such a device could be enabled using an electro-active polymer technology based on electronic artificial muscles. Artificial muscles act directly on a structure, like our leg muscles that are attached by tendon to our bones and that through phased contraction enable us to walk. Sensory feedback from our muscles enables proprioceptive control. So, for artificial muscles to be used appropriately we need to pay attention not only to mechanisms for muscle actuation but also to how we can incorporate self-sensing feedback for the control of position.
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Book chapters on the topic "Sensing-based control"

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Zhao, Yun-Bo, Guo-Ping Liu, Yu Kang, and Li Yu. "Error Bounded Sensing for Packet-Based Networked Control Systems." In Packet-Based Control for Networked Control Systems, 127–42. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6250-6_10.

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Zhu, Yan, Jun Ni, and Lili Yao. "Theories and Methods for Spectroscopy-Based Crop Nutrient Sensing." In Agriculture Automation and Control, 127–57. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-70432-2_5.

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Vaccaro, Richard J., Petros Boufounos, and Mouhacine Benosman. "Resolution-Directed Optimization-based Distributed Sensing." In 2015 Proceedings of the Conference on Control and its Applications, 167–74. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2015. http://dx.doi.org/10.1137/1.9781611974072.24.

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Pizzoni, D., P. Pittia, M. Del Carlo, D. Compagnone, and C. Di Natale. "Oligopeptides-Based Gas Sensing for Food Quality Control." In Lecture Notes in Electrical Engineering, 83–87. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00684-0_16.

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Tian, Liguo, Meng Li, Zhiliang Chen, Shengli Lu, and Yue Liu. "Farmland Water Potential Soft-sensing Network Based on WSN." In Informatics in Control, Automation and Robotics, 147–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25899-2_20.

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Prashanth, R., Siddharth K. Ghodasara, B. Bharath Bhaskar, and T. B. Binoj. "Capacitive Touch Sensing-Based Automated Collaborative Robotic Arm." In Advances in Automation, Signal Processing, Instrumentation, and Control, 1609–18. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8221-9_150.

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Rajput, Pruthvish, Manish Chaturvedi, and Vivek Patel. "Opportunistic Sensing-Based Route Demand Assessment and Feeder Bus Scheduling." In Studies in Infrastructure and Control, 167–79. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6936-1_14.

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Yussof, Hanafiah, Masahiro Ohka, Hirofumi Suzuki, and Nobuyuki Morisawa. "Tactile Sensing-based Control System for Dexterous Robot Manipulation." In Lecture Notes in Electrical Engineering, 199–213. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-8919-0_15.

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Gan, Zhongxue, and Qing Tang. "Visual Sensing and Control-Laser Sensor Based Robot Applications." In Advanced Topics in Science and Technology in China, 193–247. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18287-7_7.

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van den Berg, Jur, Sachin Patil, Ron Alterovitz, Pieter Abbeel, and Ken Goldberg. "LQG-Based Planning, Sensing, and Control of Steerable Needles." In Springer Tracts in Advanced Robotics, 373–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17452-0_22.

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Conference papers on the topic "Sensing-based control"

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Zhang, Shingbing, Hailian Wang, and Jingping Me. "Sensing Confidence Level-Based Cooperative Spectrum Sensing Algorithm." In 2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC). IEEE, 2013. http://dx.doi.org/10.1109/imccc.2013.133.

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Yang, Jiajun, and Guanxue Yang. "Network reconstruction based on compressive sensing." In 2015 34th Chinese Control Conference (CCC). IEEE, 2015. http://dx.doi.org/10.1109/chicc.2015.7259961.

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Zhang, Jun, David Torres, Nelson Sepulveda, and Xiaobo Tan. "Compressive sensing-based Preisach hysteresis model identification." In 2015 American Control Conference (ACC). IEEE, 2015. http://dx.doi.org/10.1109/acc.2015.7171132.

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Xu, Jun, Ying Long Dong, and Yanan Tang. "Gesture recognition based on wearable sensing." In 2016 Chinese Control and Decision Conference (CCDC). IEEE, 2016. http://dx.doi.org/10.1109/ccdc.2016.7531452.

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Medina, Robinson, Sander Stuijk, Dip Goswami, and Twan Basten. "Reconfigurable pipelined sensing for image-based control." In 2016 11th IEEE Symposium on Industrial Embedded Systems (SIES). IEEE, 2016. http://dx.doi.org/10.1109/sies.2016.7509406.

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Zhang, Jiasheng, Yue Liu, Yongxin Wang, Rong Zhu, Zixin Liu, and Huang Bai. "Constructing Preconditioner Based on Tight Frame for Bernoulli Random Sensing Matrix in Compressed Sensing." In 2019 Chinese Control Conference (CCC). IEEE, 2019. http://dx.doi.org/10.23919/chicc.2019.8866170.

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Salan, Suhani, and K. B. Muralidharan. "Image reconstruction based on compressive sensing using optimized sensing matrix." In 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, 2017. http://dx.doi.org/10.1109/icicict1.2017.8342569.

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Yingxu Yang and Tianyou Chai. "Soft sensing based on artificial neural network." In Proceedings of 16th American CONTROL Conference. IEEE, 1997. http://dx.doi.org/10.1109/acc.1997.611886.

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Qin, Lan, Ying Liu, and Qing Li. "Tactile sensing array based on conductive rubber." In Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, edited by Jiancheng Fang and Zhongyu Wang. SPIE, 2006. http://dx.doi.org/10.1117/12.718026.

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Li, Congjian, Yu Cheng, Zhiyong Sun, Ping He, Sheng Bi, and Ning Xi. "Content-Based Compressive Sensing." In 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2018. http://dx.doi.org/10.1109/cyber.2018.8688211.

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Reports on the topic "Sensing-based control"

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Francis J. Doyle III. Final Report ''Model-Based Approach to Soft-Sensing and Diagnosis for Control of a Continuous Digester''. Office of Scientific and Technical Information (OSTI), June 2003. http://dx.doi.org/10.2172/811743.

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Aditya Kumar. Integrated Sensing and Controls for Coal Gasification - Development of Model-Based Controls for GE's Gasifier and Syngas Cooler. Office of Scientific and Technical Information (OSTI), December 2010. http://dx.doi.org/10.2172/1038536.

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Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, October 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the project, to develop and apply the two complementary methods for quality control of agricultural commodities. In Israel: An improved firmness testing system was developed and tested with tropical fruits. The new system included an instrumented fruit-bed of three flexible piezoelectric sensors and miniature electromagnetic hammers, which served as fruit support and low-energy excitation device, respectively. Resonant frequencies were detected for determination of firmness index. Two new acoustic parameters were developed for evaluation of fruit firmness and maturity: a dumping-ratio and a centeroid of the frequency response. Experiments were performed with avocado and mango fruits. The internal damping ratio, which may indicate fruit ripeness, increased monotonically with time, while resonant frequencies and firmness indices decreased with time. Fruit samples were tested daily by destructive penetration test. A fairy high correlation was found in tropical fruits between the penetration force and the new acoustic parameters; a lower correlation was found between this parameter and the conventional firmness index. Improved table-top firmness testing units, Firmalon, with data-logging system and on-line data analysis capacity have been built. The new device was used for the full-scale experiments in the next two years, ahead of the original program and BARD timetable. Close cooperation was initiated with local industry for development of both off-line and on-line sorting and quality control of more agricultural commodities. Firmalon units were produced and operated in major packaging houses in Israel, Belgium and Washington State, on mango and avocado, apples, pears, tomatoes, melons and some other fruits, to gain field experience with the new method. The accumulated experimental data from all these activities is still analyzed, to improve firmness sorting criteria and shelf-life predicting curves for the different fruits. The test program in commercial CA storage facilities in Washington State included seven apple varieties: Fuji, Braeburn, Gala, Granny Smith, Jonagold, Red Delicious, Golden Delicious, and D'Anjou pear variety. FI master-curves could be developed for the Braeburn, Gala, Granny Smith and Jonagold apples. These fruits showed a steady ripening process during the test period. Yet, more work should be conducted to reduce scattering of the data and to determine the confidence limits of the method. Nearly constant FI in Red Delicious and the fluctuations of FI in the Fuji apples should be re-examined. Three sets of experiment were performed with Flandria tomatoes. Despite the complex structure of the tomatoes, the acoustic method could be used for firmness evaluation and to follow the ripening evolution with time. Close agreement was achieved between the auction expert evaluation and that of the nondestructive acoustic test, where firmness index of 4.0 and more indicated grade-A tomatoes. More work is performed to refine the sorting algorithm and to develop a general ripening scale for automatic grading of tomatoes for the fresh fruit market. Galia melons were tested in Israel, in simulated export conditions. It was concluded that the Firmalon is capable of detecting the ripening of melons nondestructively, and sorted out the defective fruits from the export shipment. The cooperation with local industry resulted in development of automatic on-line prototype of the acoustic sensor, that may be incorporated with the export quality control system for melons. More interesting is the development of the remote firmness sensing method for sealed CA cool-rooms, where most of the full-year fruit yield in stored for off-season consumption. Hundreds of ripening monitor systems have been installed in major fruit storage facilities, and being evaluated now by the consumers. If successful, the new method may cause a major change in long-term fruit storage technology. More uses of the acoustic test method have been considered, for monitoring fruit maturity and harvest time, testing fruit samples or each individual fruit when entering the storage facilities, packaging house and auction, and in the supermarket. This approach may result in a full line of equipment for nondestructive quality control of fruits and vegetables, from the orchard or the greenhouse, through the entire sorting, grading and storage process, up to the consumer table. The developed technology offers a tool to determine the maturity of the fruits nondestructively by monitoring their acoustic response to mechanical impulse on the tree. A special device was built and preliminary tested in mango fruit. More development is needed to develop a portable, hand operated sensing method for this purpose. In North Carolina: Analysis method based on an Auto-Regressive (AR) model was developed for detecting the first resonance of fruit from their response to mechanical impulse. The algorithm included a routine that detects the first resonant frequency from as many sensors as possible. Experiments on Red Delicious apples were performed and their firmness was determined. The AR method allowed the detection of the first resonance. The method could be fast enough to be utilized in a real time sorting machine. Yet, further study is needed to look for improvement of the search algorithm of the methods. An impact contact-pressure measurement system and Neural Network (NN) identification method were developed to investigate the relationships between surface pressure distributions on selected fruits and their respective internal textural qualities. A piezoelectric dot-matrix pressure transducer was developed for the purpose of acquiring time-sampled pressure profiles during impact. The acquired data was transferred into a personal computer and accurate visualization of animated data were presented. Preliminary test with 10 apples has been performed. Measurement were made by the contact-pressure transducer in two different positions. Complementary measurements were made on the same apples by using the Firmalon and Magness Taylor (MT) testers. Three-layer neural network was designed. 2/3 of the contact-pressure data were used as training input data and corresponding MT data as training target data. The remaining data were used as NN checking data. Six samples randomly chosen from the ten measured samples and their corresponding Firmalon values were used as the NN training and target data, respectively. The remaining four samples' data were input to the NN. The NN results consistent with the Firmness Tester values. So, if more training data would be obtained, the output should be more accurate. In addition, the Firmness Tester values do not consistent with MT firmness tester values. The NN method developed in this study appears to be a useful tool to emulate the MT Firmness test results without destroying the apple samples. To get more accurate estimation of MT firmness a much larger training data set is required. When the larger sensitive area of the pressure sensor being developed in this project becomes available, the entire contact 'shape' will provide additional information and the neural network results would be more accurate. It has been shown that the impact information can be utilized in the determination of internal quality factors of fruit. Until now,
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Splitter, Gary, and Menachem Banai. Microarray Analysis of Brucella melitensis Pathogenesis. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7709884.bard.

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Original Objectives 1. To determine the Brucella genes that lead to chronic macrophage infection. 2. To identify Brucella genes that contribute to infection. 3. To confirm the importance of Brucella genes in macrophages and placental cells by mutational analysis. Background Brucella spp. is a Gram-negative facultative intracellular bacterium that infects ruminants causing abortion or birth of severely debilitated animals. Brucellosis continues in Israel, caused by B. melitensis despite an intensive eradication campaign. Problems with the Rev1 vaccine emphasize the need for a greater understanding of Brucella pathogenesis that could improve vaccine designs. Virulent Brucella has developed a successful strategy for survival in its host and transmission to other hosts. To invade the host, virulent Brucella establishes an intracellular niche within macrophages avoiding macrophage killing, ensuring its long-term survival. Then, to exit the host, Brucella uses placenta where it replicates to high numbers resulting in abortion. Also, Brucella traffics to the mammary gland where it is secreted in milk. Missing from our understanding of brucellosis is the surprisingly lillie basic information detailing the mechanisms that permit bacterial persistence in infected macrophages (chronic infection) and dissemination to other animals from infected placental cells and milk (acute infection). Microarray analysis is a powerful approach to determine global gene expression in bacteria. The close genomic similarities of Brucella species and our recent comparative genomic studies of Brucella species using our B. melitensis microarray, suqqests that the data obtained from studying B. melitensis 16M would enable understanding the pathogenicity of other Brucella organisms, particularly the diverse B. melitensis variants that confound Brucella eradication in Israel. Conclusions Results from our BARD studies have identified previously unknown mechanisms of Brucella melitensis pathogenesis- i.e., response to blue light, quorum sensing, second messenger signaling by cyclic di-GMP, the importance of genomic island 2 for lipopolysaccharide in the outer bacterial membrane, and the role of a TIR domain containing protein that mimics a host intracellular signaling molecule. Each one of these pathogenic mechanisms offers major steps in our understanding of Brucella pathogenesis. Strikingly, our molecular results have correlated well to the pathognomonic profile of the disease. We have shown that infected cattle do not elicit antibodies to the organisms at the onset of infection, in correlation to the stealth pathogenesis shown by a molecular approach. Moreover, our field studies have shown that Brucella exploit this time frame to transmit in nature by synchronizing their life cycle to the gestation cycle of their host succumbing to abortion in the last trimester of pregnancy that spreads massive numbers of organisms in the environment. Knowing the bacterial mechanisms that contribute to the virulence of Brucella in its host has initiated the agricultural opportunities for developing new vaccines and diagnostic assays as well as improving control and eradication campaigns based on herd management and linking diagnosis to the pregnancy status of the animals. Scientific and Agricultural Implications Our BARD funded studies have revealed important Brucella virulence mechanisms of pathogenesis. Our publication in Science has identified a highly novel concept where Brucella utilizes blue light to increase its virulence similar to some plant bacterial pathogens. Further, our studies have revealed bacterial second messengers that regulate virulence, quorum sensing mechanisms permitting bacteria to evaluate their environment, and a genomic island that controls synthesis of its lipopolysaccharide surface. Discussions are ongoing with a vaccine company for application of this genomic island knowledge in a Brucella vaccine by the U.S. lab. Also, our new technology of bioengineering bioluminescent Brucella has resulted in a spin-off application for diagnosis of Brucella infected animals by the Israeli lab by prioritizing bacterial diagnosis over serological diagnosis.
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Furman, Alex, Jan Hopmans, Shmuel Assouline, Jirka Simunek, and Jim Richards. Soil Environmental Effects on Root Growth and Uptake Dynamics for Irrigated Systems. United States Department of Agriculture, February 2011. http://dx.doi.org/10.32747/2011.7592118.bard.

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Root water uptake is perhaps the most important unknown in the mass balance of hydrological and agricultural systems. The understanding and the ability to predict root uptake and the way it is influence by environmental conditions has great potential in increasing water and fertilizer use efficiency and allowing better control of water and contaminant leach towards groundwater. This BARD supported research is composed of several components, including a) intensive laboratory work for the quantification of root uptake and the way it is controlled by environmental conditions; b) development of tools for laboratory and field use that can help in sensing very low water fluxes and water content, which is a necessity for studying root uptake; c) development of capabilities to model compensated root uptake; and d) development of a database that will allow calibration of such a model. In addition some auxiliary research was performed as reported later. Some of the components, and especially the modeling and the HPP development, were completed in the framework of the project and even published in the international literature. The completed components provide a modeling environment that allows testing root compensated uptake modeling, a tool that is extremely important for true mechanistic understanding of root uptake and irrigation design that is based on mechanistic and not partially based myth. The new button HPP provides extended level of utilization of this important tool. As discussed below, other components did not get to maturity stage during the period of the project, but comprehensive datasets were collected and will be analyzed in the near future. A comprehensive dataset of high temporal and spatial resolution water contents for two different setups was recorded and should allow us understanding f the uptake at these fine resolutions. Additional important information about root growth dynamics and its dependence in environmental conditions was achieved in both Israel and the US. Overall, this BARD supported project provided insight on many important phenomena related to root uptake and to high resolution monitoring in the vadose zone. Although perhaps not to the level that we initially hoped for, we achieved better understanding of the related processes, better modeling capabilities, and better datasets that will allow continuation of this effort in the near future.
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Burks, Thomas F., Victor Alchanatis, and Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, October 2009. http://dx.doi.org/10.32747/2009.7591739.bard.

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The proposed project aims to enhance tree fruit identification and targeting for robotic harvesting through the selection of appropriate sensor technology, sensor fusion, and visual servo-control approaches. These technologies will be applicable for apple, orange and grapefruit harvest, although specific sensor wavelengths may vary. The primary challenges are fruit occlusion, light variability, peel color variation with maturity, range to target, and computational requirements of image processing algorithms. There are four major development tasks in original three-year proposed study. First, spectral characteristics in the VIS/NIR (0.4-1.0 micron) will be used in conjunction with thermal data to provide accurate and robust detection of fruit in the tree canopy. Hyper-spectral image pairs will be combined to provide automatic stereo matching for accurate 3D position. Secondly, VIS/NIR/FIR (0.4-15.0 micron) spectral sensor technology will be evaluated for potential in-field on-the-tree grading of surface defect, maturity and size for selective fruit harvest. Thirdly, new adaptive Lyapunov-basedHBVS (homography-based visual servo) methods to compensate for camera uncertainty, distortion effects, and provide range to target from a single camera will be developed, simulated, and implemented on a camera testbed to prove concept. HBVS methods coupled with imagespace navigation will be implemented to provide robust target tracking. And finally, harvesting test will be conducted on the developed technologies using the University of Florida harvesting manipulator test bed. During the course of the project it was determined that the second objective was overly ambitious for the project period and effort was directed toward the other objectives. The results reflect the synergistic efforts of the three principals. The USA team has focused on citrus based approaches while the Israeli counterpart has focused on apples. The USA team has improved visual servo control through the use of a statistical-based range estimate and homography. The results have been promising as long as the target is visible. In addition, the USA team has developed improved fruit detection algorithms that are robust under light variation and can localize fruit centers for partially occluded fruit. Additionally, algorithms have been developed to fuse thermal and visible spectrum image prior to segmentation in order to evaluate the potential improvements in fruit detection. Lastly, the USA team has developed a multispectral detection approach which demonstrated fruit detection levels above 90% of non-occluded fruit. The Israel team has focused on image registration and statistical based fruit detection with post-segmentation fusion. The results of all programs have shown significant progress with increased levels of fruit detection over prior art.
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Delwiche, Michael, Boaz Zion, Robert BonDurant, Judith Rishpon, Ephraim Maltz, and Miriam Rosenberg. Biosensors for On-Line Measurement of Reproductive Hormones and Milk Proteins to Improve Dairy Herd Management. United States Department of Agriculture, February 2001. http://dx.doi.org/10.32747/2001.7573998.bard.

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The original objectives of this research project were to: (1) develop immunoassays, photometric sensors, and electrochemical sensors for real-time measurement of progesterone and estradiol in milk, (2) develop biosensors for measurement of caseins in milk, and (3) integrate and adapt these sensor technologies to create an automated electronic sensing system for operation in dairy parlors during milking. The overall direction of research was not changed, although the work was expanded to include other milk components such as urea and lactose. A second generation biosensor for on-line measurement of bovine progesterone was designed and tested. Anti-progesterone antibody was coated on small disks of nitrocellulose membrane, which were inserted in the reaction chamber prior to testing, and a real-time assay was developed. The biosensor was designed using micropumps and valves under computer control, and assayed fluid volumes on the order of 1 ml. An automated sampler was designed to draw a test volume of milk from the long milk tube using a 4-way pinch valve. The system could execute a measurement cycle in about 10 min. Progesterone could be measured at concentrations low enough to distinguish luteal-phase from follicular-phase cows. The potential of the sensor to detect actual ovulatory events was compared with standard methods of estrus detection, including human observation and an activity monitor. The biosensor correctly identified all ovulatory events during its testperiod, but the variability at low progesterone concentrations triggered some false positives. Direct on-line measurement and intelligent interpretation of reproductive hormone profiles offers the potential for substantial improvement in reproductive management. A simple potentiometric method for measurement of milk protein was developed and tested. The method was based on the fact that proteins bind iodine. When proteins are added to a solution of the redox couple iodine/iodide (I-I2), the concentration of free iodine is changed and, as a consequence, the potential between two electrodes immersed in the solution is changed. The method worked well with analytical casein solutions and accurately measured concentrations of analytical caseins added to fresh milk. When tested with actual milk samples, the correlation between the sensor readings and the reference lab results (of both total proteins and casein content) was inferior to that of analytical casein. A number of different technologies were explored for the analysis of milk urea, and a manometric technique was selected for the final design. In the new sensor, urea in the sample was hydrolyzed to ammonium and carbonate by the enzyme urease, and subsequent shaking of the sample with citric acid in a sealed cell allowed urea to be estimated as a change in partial pressure of carbon dioxide. The pressure change in the cell was measured with a miniature piezoresistive pressure sensor, and effects of background dissolved gases and vapor pressures were corrected for by repeating the measurement of pressure developed in the sample without the addition of urease. Results were accurate in the physiological range of milk, the assay was faster than the typical milking period, and no toxic reagents were required. A sampling device was designed and built to passively draw milk from the long milk tube in the parlor. An electrochemical sensor for lactose was developed starting with a three-cascaded-enzyme sensor, evolving into two enzymes and CO2[Fe (CN)6] as a mediator, and then into a microflow injection system using poly-osmium modified screen-printed electrodes. The sensor was designed to serve multiple milking positions, using a manifold valve, a sampling valve, and two pumps. Disposable screen-printed electrodes with enzymatic membranes were used. The sensor was optimized for electrode coating components, flow rate, pH, and sample size, and the results correlated well (r2= 0.967) with known lactose concentrations.
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