Enhanced Geometric Reflection Models for Paper Surface Based Authentication

2018 ◽  
Author(s):  
Runze Liu ◽  
Chau-Wai Wong ◽  
Min Wu
Keyword(s):  
Paper Surface ◽  
Reflection Models

scholarly journals 2D printed multicellular devices performing digital and analogue computation

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Sira Mogas-Díez ◽  
Eva Gonzalez-Flo ◽  
Javier Macía
Keyword(s):  
Experimental Validation ◽  
Spatial Arrangement ◽  
End User ◽  
Paper Surface ◽  
Final Output ◽  
Analogue Circuits ◽  
Analogue Computation ◽  
Cellular Circuits ◽  
Working Out ◽  
Digital Or

AbstractMuch effort has been expended on building cellular computational devices for different applications. Despite the significant advances, there are still several addressable restraints to achieve the necessary technological transference. These improvements will ease the development of end-user applications working out of the lab. In this study, we propose a methodology for the construction of printable cellular devices, digital or analogue, for different purposes. These printable devices are designed to work in a 2D surface, in which the circuit information is encoded in the concentration of a biological signal, the so-called carrying signal. This signal diffuses through the 2D surface and thereby interacts with different device components. These components are distributed in a specific spatial arrangement and perform the computation by modulating the level of the carrying signal in response to external inputs, determining the final output. For experimental validation, 2D cellular circuits are printed on a paper surface by using a set of cellular inks. As a proof-of-principle, we have printed and analysed both digital and analogue circuits using the same set of cellular inks but with different spatial topologies. The proposed methodology can open the door to a feasible and reliable industrial production of cellular circuits for multiple applications.

Reflection models for soil and vegetation surfaces from multiple-viewing angle photopolarimetric measurements

2010 ◽  
Vol 111 (4) ◽  
pp. 529-539 ◽  
Author(s):  
Pavel Litvinov ◽  
Otto Hasekamp ◽  
Brian Cairns ◽  
Michael Mishchenko
Keyword(s):  
Viewing Angle ◽  
Reflection Models

Fabrication of super-hydrophobic filter paper via mixed wax phase separation for efficient oil/water separation

BioResources ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. 5794-5805
Author(s):  
Yating Wang ◽  
Xiaochun Chen ◽  
Yaqi Liang ◽  
Chenghua Yu
Keyword(s):  
Filter Paper ◽  
Surface Composition ◽  
Low Cost ◽  
Sliding Angle ◽  
Coated Paper ◽  
Water Contact ◽  
Water Separation ◽  
Oil Separation ◽  
Paper Surface ◽  
Superhydrophobic Paper

Despite previous efforts, the fabrication of superhydrophobic substrate via an environment friendly and easy approach remains a great challenge. In this study, a low cost, simple, and green procedure was developed to prepare a superhydrophobic paper surface that is acceptable for the papermaking industry. First, a wax mixture (beeswax & carnauba wax) was emulsified and coated on the filter paper surface. Then, the coated paper was annealed at different temperatures. The further heat-treatment-rendered wax-coated paper hydrophobic or superhydrophobic because submicrometer or micrometer wax structures were present on the paper surface. The water contact angle of the annealed filter paper sample reached 151.5° at 60 °C, and the sliding angle was under 10°. Further, the relationship between surface composition and the hydrophobic properties of the coated paper samples was discussed. The obtained paper samples showed great potential in water/oil separation, as they had an efficiency over 99%. This work proposed a new simple and mild approach to fabricate superhydrophobic filter papers and explored the hydrophobicity and water/oil separation properties.

scholarly journals Effects of Physical Treatments on the Hydrophobicity of Kenaf Whole Stem Paper Surface Using Stearic Acid

BioResources ◽  
2013 ◽  
Vol 8 (3) ◽  
Author(s):  
Hazwani Husna Abdullah ◽  
Ainun Zuriyati Mohamed Asa'ari ◽  
Nurul Izzati Mohd Zawawi ◽  
Luqman Chuah Abdullah ◽  
Sarani Zakaria
Keyword(s):  
Stearic Acid ◽  
Paper Surface ◽  
Physical Treatments

Reflection Models

2017 ◽  
pp. 507-568
Author(s):  
Matt Pharr ◽  
Wenzel Jakob ◽  
Greg Humphreys
Keyword(s):  
Reflection Models

scholarly journals A Novel Approach to Droplet’s 3D Shape Recovery Based on Mask R-CNN and Improved Lambert–Phong Model

Micromachines ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 462 ◽  
Author(s):  
Shizhou Lu ◽  
Chenliang Ren ◽  
Jiexin Zhang ◽  
Qiang Zhai ◽  
Wei Liu
Keyword(s):  
Final Height ◽  
Three Dimensional ◽  
Shape From Shading ◽  
Droplet Surface ◽  
Running Speed ◽  
Droplet Shape ◽  
Fast Running ◽  
Reflection Model ◽  
Novel Approach ◽  
Reflection Models

Aiming at the demand for extracting the three-dimensional shapes of droplets in microelectronic packaging, life science, and some related fields, as well as the problems of complex calculation and slow running speed of conventional shape from shading (SFS) illumination reflection models, this paper proposes a Lambert–Phong hybrid model algorithm to recover the 3D shapes of micro-droplets based on the mask regions with convolutional neural network features (R-CNN) method to extract the highlight region of the droplet surface. This method fully integrates the advantages of the Lambertian model’s fast running speed and the Phong model’s high accuracy for reconstruction of the highlight region. First, the Mask R-CNN network is used to realize the segmentation of the highlight region of the droplet and obtain its coordinate information. Then, different reflection models are constructed for the different reflection regions of the droplet, and the Taylor expansion and Newton iteration method are used for the reflection model to get the final height of all positions. Finally, a three-dimensional reconstruction experimental platform is built to analyze the accuracy and speed of the algorithm on the synthesized hemisphere image and the actual droplet image. The experimental results show that the proposed algorithm based on mask R-CNN had better precision and shorter running time. Hence, this paper provides a new approach for real-time measurement of 3D droplet shape in the dispensing state.

scholarly journals Robot Scanner Gambar Menggunakan Intensitas Cahaya

2015 ◽  
Vol 1 (3) ◽  
pp. 243
Author(s):  
David David ◽  
Sandy Kosasi
Keyword(s):  
Light Intensity ◽  
Robot Programming ◽  
Main Program ◽  
Simple Method ◽  
Control Center ◽  
Paper Surface ◽  
Infrared Reflection ◽  
Colored Paper ◽  
Robot Technology ◽  
Lego Mindstorms

Banyak teknologi robot yang dapat digunakan untuk meniru mesin-mesin dengan kemampuan digitalisasi. Salah satu teknologi robot yang terkenal sekarang adalah Lego Mindstorms NXT 2.0 dengan platform Mindstorm NXT-G. Pada Penelitian ini, dirakit dan dikodekan program sebuah robot scanner menggunakan intensitas cahaya. Metode yang digunakan adalah metode Mindstorms dengan robot Lego Minstorms NXT 2.0. Metode ini adalah metode sederhana yang terdiri dari empat tahapan yaitu mencari ide untuk robot, membangun robot, memprogram robot dan dokumentasi. Pemrograman robot dengan menggunakan bahasa pemrograman NXT-G digunakan untuk mendapatkan program yang bekerja terbaik. Pengujian V-model akan digunakan untuk menguji program utama. Robot yang dibuat dengan menggunakan Lego Mindstorms NXT 2.0 dapat melakukan scanning pada gambar dengan output pada Layar NXT Brick. Robot dapat membedakan warna berdasarkan intensitas cahaya yang dipantulkan. Sensor warna mendeteksi pantulan infra merah pada permukaan kertas yang berwarna dengan intensitas tertentu. Hasil pendeteksian disimpan dalam memory dan sebagai pusat kendali dari robot ini menggunakan NXT Brick yang sudah termasuk dalam paket LEGO MINDSTORMS NXT 2.0.A lot of Robot technology that can be used to act like machines with digital ability. Nowadays, one of the famous robot technology is Lego Mindstorms NXT 2.0 with Mindstorm NXT-G platform. In this research, created and coded by program, a scanner robot uses light intensity. Method that being used is Mindstorms method with Lego Mindstorms NXT 2.0. robot. This method is a simple method with four steps. They are find the idea for the robot, construct the robot, program the robot and documentation. Robot programming with NXT-G programming language is use to get the best working program. V-Model test will be use to test the main program. Robot that being created with Lego Mindstorms NXT 2.0 can do scanning to an image with output from the NXT brick screen. Robot can differentiate colors base on light intensity that has been reflected. Color censor detect infrared reflection at the colored paper surface with certain intensity. Result of the detection is being saved into memory and as the control center from this robot, it uses NXT brick that has been included in the LEGO MINDSTORMS NXT 2.0. package.

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