scholarly journals Snapshot Imaging Spectrometer Based on Pixel-Level Filter Array (PFA)

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2289
Author(s):  
Yunqiang Xie ◽  
Chunyu Liu ◽  
Shuai Liu ◽  
Weiyang Song ◽  
Xinghao Fan
Keyword(s):  
Field Experiments ◽  
Spatial Information ◽  
Low Cost ◽  
Three Dimensional ◽  
High Energy ◽  
Compact Structure ◽  
Imaging Spectrometer ◽  
Computational Burden ◽  
Filter Array ◽  
Snapshot Imaging

Snapshot spectral imaging technology plays an important role in many fields. However, most existing snapshot imaging spectrometers have the shortcomings of a large volume or heavy computational burden. In this paper, we present a novel snapshot imaging spectrometer based on the pixel-level filter array (PFA), which can simultaneously obtain both spectral and spatial information. The system is composed of a fore-optics, a PFA, a relay lens, and a monochromatic sensor. The incoming light first forms an intermediate image on the PFA through the fore-optics. Then, the relay lens reimages the spectral images on the PFA onto the monochromatic sensor. Through the use of the PFA, we can capture a three-dimensional (spatial coordinates and wavelength) datacube in a single exposure. Compared with existing technologies, our system possesses the advantages of a simple implementation, low cost, compact structure, and high energy efficiency by removing stacked dispersive or interferometric elements. Moreover, the characteristic of the direct imaging mode ensures the low computational burden of the system, thus shortening the imaging time. The principle and design of the system are described in detail. An experimental prototype is built and field experiments are carried out to verify the feasibility of the proposed scheme.

scholarly journals Promoting the Performance of Li–CO2 Batteries via Constructing Three-Dimensional Interconnected K+ Doped MnO2 Nanowires Networks

2021 ◽  
Vol 9 ◽  
Author(s):  
Zhuolin Tang ◽  
Mengming Yuan ◽  
Huali Zhu ◽  
Guang Zeng ◽  
Jun Liu ◽  
...  
Keyword(s):  
Noble Metals ◽  
High Efficiency ◽  
Low Cost ◽  
Three Dimensional ◽  
High Energy ◽  
High Energy Density ◽  
Cycle Performance ◽  
Energy Storage And Conversion ◽  
Actual Application ◽  
Charge Process

Nowadays, Li–CO2 batteries have attracted enormous interests due to their high energy density for integrated energy storage and conversion devices, superiorities of capturing and converting CO2. Nevertheless, the actual application of Li–CO2 batteries is hindered attributed to excessive overpotential and poor lifespan. In the past decades, catalysts have been employed in the Li–CO2 batteries and been demonstrated to reduce the decomposition potential of the as-formed Li2CO3 during charge process with high efficiency. However, as a representative of promising catalysts, the high costs of noble metals limit the further development, which gives rise to the exploration of catalysts with high efficiency and low cost. In this work, we prepared a K+ doped MnO2 nanowires networks with three-dimensional interconnections (3D KMO NWs) catalyst through a simple hydrothermal method. The interconnected 3D nanowires network catalysts could accelerate the Li ions diffusion, CO2 transfer and the decomposition of discharge products Li2CO3. It is found that high content of K+ doping can promote the diffusion of ions, electrons and CO2 in the MnO2 air cathode, and promote the octahedral effect of MnO6, stabilize the structure of MnO2 hosts, and improve the catalytic activity of CO2. Therefore, it shows a high total discharge capacity of 9,043 mAh g−1, a low overpotential of 1.25 V, and a longer cycle performance.

Design and realization of a novel magnetic nutation drive for industry robotic wrist reducer

2017 ◽  
Vol 44 (1) ◽  
pp. 58-63 ◽  
Author(s):  
Ding-jian Huang ◽  
Li-gang Yao ◽  
Wen-jian Li ◽  
Jun Zhang
Keyword(s):  
Low Cost ◽  
Three Dimensional ◽  
Transmission Ratio ◽  
Drive Mode ◽  
Element Analysis ◽  
Compact Structure ◽  
Content Type ◽  
Contact Transmission ◽  
Three Dimensional Finite Element ◽  
Robotic Wrist

Purpose The purpose of this research is to achieve a novel magnetic nutation drive for an industry robotic wrist reducer. Design/methodology/approach A novel magnetic nutation drive is proposed, and the structure and principle of the designed magnetic nutation drive are described in this study. Three-dimensional finite element analysis is used to compute the magnetic and torque of the magnetic nutation drive. Furthermore, a prototype of this novel magnetic nutation drive device is developed with 3D printing technology and tested to verify the feasibility of the proposed structure and principle. Findings The simulation and experimental results indicated that the proposed magnetic nutation drive device could meet the desired specifications, and that this novel magnetic nutation drive device successfully realized the non-contact transmission ratio of 105:1 required for a robotic wrist reducer. Practical implications This novel magnetic nutation drive is low-cost and easy to make and use, and which provides the non-contact transmission ratio of 105:1 required for a robotic wrist reducer. Originality/value For the first time, this research applies the permanent magnet drive technology to nutation drive and puts forward a new non-contact nutation drive mode. The novel drive mode can solve some problems of the traditional mechanical contact nutation drive, such as vibration, friction loss, mechanical fatigue and necessity of lubrication. The proposed non-contact nutation drive device can achieve a high reduction ratio with compact structure and can be suitable for industry application.

scholarly journals Application of the Kinect sensor for three dimensional characterization of vine canopy

2017 ◽  
Vol 8 (2) ◽  
pp. 525-529 ◽  
Author(s):  
F. Marinello ◽  
A. Pezzuolo ◽  
F. Meggio ◽  
J. A. Martínez-Casasnovas ◽  
T. Yezekyan ◽  
...  
Keyword(s):  
Field Experiments ◽  
Low Cost ◽  
Three Dimensional ◽  
Cost Effective ◽  
Kinect Sensor ◽  
Area Index ◽  
Number Of Leaves ◽  
Canopy Size ◽  
Opening Up

Monitoring grapevine canopy size and evolution during time is of great interest for the management of the vineyard. An interesting and cost effective solution for 3D characterization is provided by the Kinect sensor. To assess its practical applicability, field experiments were carried out on two different grapevines varieties (Glera and Merlot) for a three months period. The results from 3D digital imaging were compared with those achieved by direct hand-made measurements. Estimated volume was then effectively correlated to the number of leaves and to the leaf area index. The experiments demonstrated how a low cost 3D sensor can be applied for fast and repeatable reconstruction of vine vegetation, opening up for new potential improvements in variable rate application or pruning

scholarly journals Four-Dimensional Map Reconstruction for Urban Progress Analysis

2020 ◽  
Vol 55 (2) ◽  
Author(s):  
Zahraa E. Hussein ◽  
Marwa M. Bori ◽  
Layla K. Abbas
Keyword(s):  
Spatial Information ◽  
Low Cost ◽  
Three Dimensional ◽  
Water Area ◽  
Google Earth ◽  
Geographical Information ◽  
Data Set ◽  
Important Indicator ◽  
3 Dimensional ◽  
The University

The article describes a simple and low cost methodology of four-dimensional map creation, based on the main elements of the urban world like such as green ground, buildings, soil, water area and others, which makes it possible to detect the urban progress during a certain period using an open source data of Google Earth and geographical information system. This implies that a study of changes in urban elementrequire an integration of spatial information and corresponding real time, which is referred to as the four-dimensional map. Accordingly, the fourth dimensional (time) was added to the three dimensional spatial information (3 dimensional) study area signifies by the University of Baghdad, Aljadrya Campus. Regarding the article, the study area’s urban progress was considered for Google Earth’s available period of the data set that started from 2002 to 2019 at each of 2002, 2005, 2010 in addition to 2019 before being updated from the field observation. The main goal of this article is to provide an important indicator that can be used to determine the nature of current growth and forecast it in the future. Furthermore, it can be used for solving the problems of negative urban progress, which is what most developing countries are experiencing. Findings show significant changes in the main objects of the study area are represented by increasing each of buildings, green grounds, play grounds by about 40.9%, 65.4% and 30.2% respectively, which are offset by decrease insoil grounds of nearly 20.8%.

scholarly journals A novel denoising framework for cerenkov luminescence imaging based on spatial information improved clustering and curvature-driven diffusion

2018 ◽  
Vol 11 (04) ◽  
pp. 1850017 ◽  
Author(s):  
Xin Cao ◽  
Yi Sun ◽  
Fei Kang ◽  
Lin Wang ◽  
Huangjian Yi ◽  
...  
Keyword(s):  
Spatial Information ◽  
Median Filter ◽  
Three Dimensional ◽  
High Energy ◽  
Filter Method ◽  
Luminescence Imaging ◽  
Cerenkov Luminescence Imaging ◽  
Dimensional Reconstruction ◽  
Energy Gamma ◽  
Curvature Driven

With widely availed clinically used radionuclides, Cerenkov luminescence imaging (CLI) has become a potential tool in the field of optical molecular imaging. However, the impulse noises introduced by high-energy gamma rays that are generated during the decay of radionuclide reduce the image quality significantly, which affects the accuracy of quantitative analysis, as well as the three-dimensional reconstruction. In this work, a novel denoising framework based on fuzzy clustering and curvature-driven diffusion (CDD) is proposed to remove this kind of impulse noises. To improve the accuracy, the Fuzzy Local Information C-Means algorithm, where spatial information is evolved, is used. We evaluate the performance of the proposed framework systematically with a series of experiments, and the corresponding results demonstrate a better denoising effect than those from the commonly used median filter method. We hope this work may provide a useful data pre-processing tool for CLI and its following studies.

scholarly journals TSV Technology and High-Energy Heavy Ions Radiation Impact Review

Electronics ◽  
2018 ◽  
Vol 7 (7) ◽  
pp. 112 ◽  
Author(s):  
Wenchao Tian ◽  
Tianran Ma ◽  
Xiaohan Liu
Keyword(s):  
Integrated Circuits ◽  
Research Methods ◽  
Heavy Ions ◽  
High Performance ◽  
Ion Irradiation ◽  
Low Cost ◽  
Three Dimensional ◽  
Heavy Ion ◽  
High Energy ◽  
Radiation Environment

Three-dimensional integrated circuits (3D IC) based on TSV (Through Silicon Via) technology is the latest packaging technology with the smallest size and quality. As a result, it can effectively reduce parasitic effects, improve work efficiency, reduce the power consumption of the chip, and so on. TSV-based silicon interposers have been applied in the ground environment. In order to meet the miniaturization, high performance and low-cost requirements of aerospace equipment, the adapter substrate is a better choice. However, the transfer substrate, as an important part of 3D integrated circuits, may accumulate charge due to heavy ion irradiation and further reduce the performance of the entire chip package in harsh space radiation environment or cause it to fail completely. Little research has been carried out until now. This article summarizes the research methods and conclusions of the research on silicon interposers and TSV technology in recent years, as well as the influence of high-energy heavy ions on semiconductor devices. Based on this, a series of research methods to study the effect of high-energy heavy ions on TSV and silicon adapter plates is proposed.

Novel Near Field Detector for Three-Dimensional X-Ray Diffraction Microscopy

MRS Advances ◽  
2018 ◽  
Vol 3 (39) ◽  
pp. 2341-2346 ◽  
Author(s):  
Scott Annett ◽  
Sergio Morelhao ◽  
Darren Dale ◽  
Stefan Kycia
Keyword(s):  
New Technologies ◽  
Spatial Information ◽  
Near Field ◽  
Three Dimensional ◽  
High Energy ◽  
Field Of View ◽  
Large Field ◽  
X Ray Diffraction ◽  
Synchrotron Source ◽  
X Ray

AbstractThree dimensional X-ray diffraction (3DXRD) microscopy is a powerful technique that provides crystallographic and spatial information of a large number, of the order of thousands, of crystalline grains in a sample simultaneously. A key component of every 3DXRD microscopy experiment is the near field detector that provides high resolution spatial information of the grains. In this work we present a novel design for a semi-transparent, 16 megapixel near field detector. As opposed to a typical single scintillator phosphor detector, this design, we call the Quad Near Field Detector, uses four quadrants. It has a total field of view is 5.3 mm x 5.3 mm with an effective pixel size of 1.3 µm x 1.3 µm. The detector’s relatively large field of view can be used to obtain higher order diffraction spots which we anticipate will lead to improved spatial resolution in grain reconstructions. The large field of view can also enable the detector to be positioned further from the sample, in this way increasing the working distance and enabling larger environmental cells for in-situ studies. Many alignment parameters can be resolved by careful mechanical design. For this reason a novel translation stage for focusing the microscopes was developed, tested, and implemented. The near field detector was calibrated and characterized at the Cornell High Energy Synchrotron Source. The operational feasibility of such a multi-plate detector demonstrated in this work paves the way for new technologies in instrumentation of 3DXRD microscopy.

Three-dimensional image analysis and visualization in confocal light microscopy

1993 ◽  
Vol 51 ◽  
pp. 158-159
Author(s):  
J. K. Samarabandu ◽  
R. Acharya ◽  
D. R. Pareddy ◽  
P. C. Cheng
Keyword(s):  
Depth Perception ◽  
Computer Graphic ◽  
Three Dimensional ◽  
Cellular Organization ◽  
Data Set ◽  
Computational Burden ◽  
Interactive Operation ◽  
Cell Organization ◽  
Confocal Images ◽  
3D Digitization

In the study of cell organization in a maize meristem, direct viewing of confocal optical sections in 3D (by means of 3D projection of the volumetric data set, Figure 1) becomes very difficult and confusing because of the large number of nucleus involved. Numerical description of the cellular organization (e.g. position, size and orientation of each structure) and computer graphic presentation are some of the solutions to effectively study the structure of such a complex system. An attempt at data-reduction by means of manually contouring cell nucleus in 3D was reported (Summers et al., 1990). Apart from being labour intensive, this 3D digitization technique suffers from the inaccuracies of manual 3D tracing related to the depth perception of the operator. However, it does demonstrate that reducing stack of confocal images to a 3D graphic representation helps to visualize and analyze complex tissues (Figure 2). This procedure also significantly reduce computational burden in an interactive operation.

Optimizing genotype-environment-management interactions to ensure silage maize production in the Chinese Maize Belt

2020 ◽  
Vol 80 (2) ◽  
pp. 133-146
Author(s):  
L Zhang ◽  
Z Zhang ◽  
J Cao ◽  
Y Luo ◽  
Z Li
Keyword(s):  
Field Experiments ◽  
Weather Conditions ◽  
Growth Cycle ◽  
High Energy ◽  
Risk Level ◽  
Energy Yield ◽  
Maize Production ◽  
Early Date ◽  
Environment Management ◽  
Silage Maize

Grain maize production exceeds the demand for grain maize in China. Methods for harvesting good-quality silage maize urgently need a theoretical basis and reference data in order to ensure its benefits to farmers. However, research on silage maize is limited, and very few studies have focused on its energetic value and quality. Here, we calibrated the CERES-Maize model for 24 cultivars with 93 field experiments and then performed a long-term (1980-2017) simulation to optimize genotype-environment-management (G-E-M) interactions in the 4 main agroecological zones across China. We found that CERES-Maize could reproduce the growth and development of maize well under various management and weather conditions with a phenology bias of <5 d and biomass relative root mean square error values of <5%. The simulated results showed that sowing long-growth-cycle cultivars approximately 10 d in advance could yield good-quality silage. The optimal sowing dates (from late May to July) and harvest dates (from early October to mid-November) gradually became later from north to south. A high-energy yield was expected when sowing at an early date and/or with late-maturing cultivars. We found that Northeast China and the North China Plain were potential silage maize growing areas, although these areas experienced a medium or even high frost risk. Southwestern maize experienced a low risk level, but the low soil fertility limited the attainable yield. The results of this paper provide information for designing an optimal G×E×M strategy to ensure silage maize production in the Chinese Maize Belt.

Fabrication of 3D Temperature Sensor Using Magnetostrictive Inkjet Printhead

2020 ◽  
Vol 64 (5) ◽  
pp. 50405-1-50405-5
Author(s):  
Young-Woo Park ◽  
Myounggyu Noh
Keyword(s):  
Flexible Electronics ◽  
Inkjet Printing ◽  
Temperature Sensor ◽  
Computer Aided Design ◽  
Low Cost ◽  
Three Dimensional ◽  
Drop On Demand ◽  
Aided Design ◽  
Nanoparticle Ink ◽  
Inkjet Printhead

Abstract Recently, the three-dimensional (3D) printing technique has attracted much attention for creating objects of arbitrary shape and manufacturing. For the first time, in this work, we present the fabrication of an inkjet printed low-cost 3D temperature sensor on a 3D-shaped thermoplastic substrate suitable for packaging, flexible electronics, and other printed applications. The design, fabrication, and testing of a 3D printed temperature sensor are presented. The sensor pattern is designed using a computer-aided design program and fabricated by drop-on-demand inkjet printing using a magnetostrictive inkjet printhead at room temperature. The sensor pattern is printed using commercially available conductive silver nanoparticle ink. A moving speed of 90 mm/min is chosen to print the sensor pattern. The inkjet printed temperature sensor is demonstrated, and it is characterized by good electrical properties, exhibiting good sensitivity and linearity. The results indicate that 3D inkjet printing technology may have great potential for applications in sensor fabrication.

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