scholarly journals Expression Measurement Object

2020 ◽  
Author(s):  
Keyword(s):  
Measurement Object ◽  
Expression Measurement

scholarly journals Measuring Farm Animal Emotions—Sensor-Based Approaches

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 553
Author(s):  
Suresh Neethirajan ◽  
Inonge Reimert ◽  
Bas Kemp
Keyword(s):  
Emotional Expression ◽  
Emotional Responses ◽  
Facial Feature ◽  
Agricultural Technology ◽  
Farm Animals ◽  
Expression Recognition ◽  
Biometric Data ◽  
Challenges And Opportunities ◽  
Expression Of Emotions ◽  
Expression Measurement

Understanding animal emotions is a key to unlocking methods for improving animal welfare. Currently there are no ‘benchmarks’ or any scientific assessments available for measuring and quantifying the emotional responses of farm animals. Using sensors to collect biometric data as a means of measuring animal emotions is a topic of growing interest in agricultural technology. Here we reviewed several aspects of the use of sensor-based approaches in monitoring animal emotions, beginning with an introduction on animal emotions. Then we reviewed some of the available technological systems for analyzing animal emotions. These systems include a variety of sensors, the algorithms used to process biometric data taken from these sensors, facial expression, and sound analysis. We conclude that a single emotional expression measurement based on either the facial feature of animals or the physiological functions cannot show accurately the farm animal’s emotional changes, and hence compound expression recognition measurement is required. We propose some novel ways to combine sensor technologies through sensor fusion into efficient systems for monitoring and measuring the animals’ compound expression of emotions. Finally, we explore future perspectives in the field, including challenges and opportunities.

Integrated on-capillary instrumentation for gene expression measurement directly from cells

2003 ◽  
Vol 24 (3) ◽  
pp. 458-465 ◽  
Author(s):  
Hiroko Matsunaga ◽  
Takashi Anazawa ◽  
Edward S. Yeung
Keyword(s):  
Gene Expression ◽  
Gene Expression Measurement ◽  
Expression Measurement

Research on Ranging Method Based on Binocular Stereo Vision

2014 ◽  
Vol 945-949 ◽  
pp. 2075-2081 ◽  
Author(s):  
Xue Zhi Lv ◽  
Mei Ting Wang ◽  
Yong Feng Qi ◽  
Xue Mei Zhao ◽  
Hao Dong
Keyword(s):  
Camera Calibration ◽  
Stereo Vision ◽  
Experimental Platform ◽  
Binocular Stereo Vision ◽  
Parallel Arrangement ◽  
Binocular Stereo ◽  
Contour Boundary ◽  
Measurement Object ◽  
Stereo Calibration ◽  
Left And Right

Binocular stereo vision ranging method taking contour boundary center of measurement object as matching features was investigated. And experimental platform for binocular stereo vision ranging system was built up. The stereo vision ranging system comprised four modules: camera calibration, stereo calibration, stereo rectification and features extraction. Firstly, the intrinsic parameters of single camera were obtained by camera calibration and relative pose of two cameras was obtained by stereo calibration. Then the left and right images were rectified into a frontal parallel arrangement by Bouguet’s method. The edge pixels of contours were detected by image processing. Then the disparity and the distance was calculated taking contour center as matching features. Finally, measurement error analysis was performed to verify the proposed method with good practicability.

scholarly journals Automated bedside flow cytometer for mHLA-DR expression measurement: a comparison study with reference protocol

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Mehdi Zouiouich ◽  
Morgane Gossez ◽  
Fabienne Venet ◽  
Thomas Rimmelé ◽  
Guillaume Monneret
Keyword(s):  
Flow Cytometer ◽  
Comparison Study ◽  
Expression Measurement

Stiffness Sensor for Cubic Nonlinear Elasticity Using Nonlinear Self-Excited Oscillation

2014 ◽  
Vol 136 (3) ◽  
Author(s):  
Yosuke Kokubun ◽  
Hiroshi Yabuno
Keyword(s):  
Nonlinear Elasticity ◽  
Response Amplitude ◽  
Feedback Gain ◽  
Nonlinear Stiffness ◽  
Nonlinear Feedback ◽  
Backbone Curve ◽  
Van Der Pol ◽  
Stiffness Sensor ◽  
Excited Oscillation ◽  
Measurement Object

The present paper develops a nonlinear stiffness sensor for measuring cubic nonlinear elasticity. The measurement system consists of a vibrator with a control circuit. We apply linear-plus-nonlinear feedback to actuate the vibrator attached to a measurement object for inducing van der Pol type self-excited oscillation so that the response amplitude of the oscillation can be set arbitrarily by changing the nonlinear feedback gain. We focus on the fact that the nonlinear elasticity of the measurement object causes a natural frequency shift related to the magnitude of vibration amplitude of the vibrator. We can set the response amplitude to various values by changing the nonlinear feedback gain and measuring the shift of the response frequency depending on the magnitude of the response amplitude. As a result, based on the bend of the experimentally obtained backbone curve, the nonlinear elasticity of the measurement object is identified.

scholarly journals High-resolution fiber-coupled interferometric point sensor for micro- and nano-metrology

2015 ◽  
Vol 82 (7-8) ◽  
Author(s):  
Markus Schake ◽  
Markus Schulz ◽  
Peter Lehmann
Keyword(s):  
High Resolution ◽  
Measurement Errors ◽  
Surface Profile ◽  
Optical Measurements ◽  
High Demand ◽  
Force Microscopy ◽  
Atomic Force ◽  
Measurement Object ◽  
Contact Free

AbstractThe determination of surface roughness is a common challenge in industrial quality assurance. Because tactile techniques like the stylus method or atomic force microscopy run the risk of damaging the measurement object there is a high demand for contact-free optical measurements. In this contribution we demonstrate the feasibility of a high resolution fiber-coupled interferometric point sensor with periodical path length modulation to determine the surface profile of rough surfaces. Measurements on two specimens characterized by different roughness parameters are presented and corrections for common measurement errors, due to phase ambiguity are discussed.

scholarly journals Microarrays expression measurement

2007 ◽  
Vol 1 (S1) ◽  
Author(s):  
Richard Pearson
Keyword(s):  
Expression Measurement
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