scholarly journals A new DMSP magnetometer and auroral boundary data set and estimates of field-aligned currents in dynamic auroral boundary coordinates

2017 ◽  
Vol 122 (8) ◽  
pp. 9068-9079 ◽  
Author(s):  
Liam M. Kilcommons ◽  
Robert J. Redmon ◽  
Delores J. Knipp
Keyword(s):  
Boundary Data ◽  
Data Set

scholarly journals ‘Phantom Virtual’ Penampang Melintang Tungkai (Tibia Fibula) Berbasis Konsep Rangkaian Resistor

2017 ◽  
Author(s):  
Agah D. Garnadi ◽  
Amanatulhay Pribadi ◽  
mn indro ◽  
Mochamad Tito Julianto
Keyword(s):  
Boundary Data ◽  
Electrical Impedance ◽  
Optical Tomography ◽  
Diffuse Optical Tomography ◽  
Impedance Tomography ◽  
Data Set ◽  
Phantom Model ◽  
Reconstruction Software ◽  
Tomography Reconstruction ◽  
Non Destructive

Tomografi elektrik berguna untuk mencitrakan distribusi impedansi pada suatu benda. Salah satu aplikasi Elektrikal Tomografi adalah di bidang biomedika. Tungkai sebagai organ tubuh memiliki resistansi yang beragam bergantung pada material jaringan yang menyusunnya. Potongan tungkai (Tibia Fibula) dapat disederhanakan menjadi suatu phantom model yang terdiri dari tiga objek dengan resistansi berbeda, yaitu merepresentasikan tulang, otot, dan pembuluh darah. Dengan menggunakan boundary data simulator (BDS) berbasis rangkaian listrik dengan menggunakan pola arus tetanggan, dibangkitkan data set untuk phantom yang merepresentasikan jaringan melintang tungkai. Data set yang dibangkitkan merupakan input inversi untuk memperoleh citra Non Destructive Imaging dengan menggunakan software rekonstruksi semisal EIDORS (electrical impedance tomography and diffuse optical tomography reconstruction software), sebagai kalibrasi rekonstruksi.

scholarly journals ‘Phantom Virtual’ Penampang Melintang Buah Manggis (Garcinia mangostana L.) Berbasis Konsep Rangkaian Resistor pada Tomografi Elektrik untuk Non Destructive Imaging Buah Tropik

2017 ◽  
Author(s):  
Agah D. Garnadi ◽  
Amanatulhay Pribadi ◽  
mn indro ◽  
Mochamad Tito Julianto
Keyword(s):  
Electrical Impedance Tomography ◽  
Boundary Data ◽  
Electrical Impedance ◽  
Optical Tomography ◽  
Diffuse Optical Tomography ◽  
Garcinia Mangostana ◽  
Impedance Tomography ◽  
Data Set ◽  
Non Destructive

Tomografi elektrik berguna untuk mencitrakan distribusi impedansi pada suatu benda. Tomografi dapat diaplikasikan ke berbagai bidang, salah satunya untuk bidang pasca panen maupun kwalitas penjaminan mutu sebagai peranti pencitraan bagian dalam buah secara utuh tanpa merusak. Buah manggis sebagai salah satu jenis buah tropis yang eksotis memiliki resistansi yang beragam bergantung pada material jaringan yang menyusunnya. Penampang buah manggis dimodelkan dalam bentuk phantom resistor model yang merepresentasikan tiga objek dengan resistansi berbeda, yaitu kulit luar, daging buah, dan biji. Dengan menggunakan boundary data simulator (BDS) berbasis rangkaian listrik dengan menggunakan pola arus tetanggan, dibangkitkan data set untuk phantom yang merepresentasikan jaringan melintang buah manggis. Data set yang dibangkitkan akan menjadi input inversi untuk memperoleh citra Non Destructive Imaging dengan menggunakan software rekonstruksi semisal EIDORS (electrical impedance tomography and diffuse optical tomography recosntrustion software), sebagai kalibrasi rekonstruksi.

A Complementary Sensor Approach to Reverse Engineering

2000 ◽  
Vol 123 (1) ◽  
pp. 74-82 ◽  
Author(s):  
C. Bradley ◽  
V. Chan
Keyword(s):  
Reverse Engineering ◽  
Boundary Data ◽  
Surface Patch ◽  
Free Form ◽  
Data Set ◽  
B Spline ◽  
Cloud Data ◽  
Surface Patches ◽  
Free Form Surface ◽  
Touch Probe

A complementary sensor technique for reverse engineering objects that are represented by a three-dimensional (3D) cloud data set is reported. The research focuses on objects whose surface form is manifest as a set of distinct free-form surface patches, each of which is enclosed by a boundary. The method incorporates three stages: (1) laser scanner-based digitization of all the free-form surface patches, (2) touch probe-based digitization of the surface patch boundaries, and (3) modeling of both data sets to create a complete B-spline curve and surface representation of the object. The patch boundary data, defined by the touch probe, is employed to segment the free-form surface data into the constituent patches. Furthermore, the boundary data is incorporated within a B-spline surface fitting process to constrain the boundaries. The two sensors functionally complement each other; the range sensor provides the required dense resolution of 3D points on the free-form surfaces whereas the touch probe accurately defines the patch boundaries. The method is ideal for objects comprised of both functional engineering features, e.g. bearing holes or precise mounting locators, and aesthetic features, such as hand grips or part covers. The touch probe is also ideal for digitizing boundaries where occlusion prevents the use of an optical digitizer. The laser-based sensor has an accuracy specification of 50 microns (over a 40-mm depth of field) whereas the touch probe is accurate to 4 microns over a 25-mm measurement length. An example part is modeled that has multiple free-form patches (defining the part’s outer cover) that require a large cloud data set for complete coverage. The corresponding patch boundaries accurately define the location of critical part mounting locations that require the touch probe’s precision.

MULTI-CLASS CLUSTERING BY ANALYTICAL TWO-CLASS FORMULAS

1996 ◽  
Vol 10 (04) ◽  
pp. 307-323 ◽  
Author(s):  
JA-CHEN LIN
Keyword(s):  
Boundary Data ◽  
Second Phase ◽  
Clustering Method ◽  
Data Set ◽  
Computational Load ◽  
Two Phases

This paper proposes a new clustering method based on the hierarchical use of the analytical two-class clustering tool introduced by Lin and Tsai.1 The method comprises two phases. In the first phase, called the splitting phase, the data set is hierarchically decomposed into some subsets. In the second phase, called the merging phase, the set-to-set distances between these subsets are checked so that some subsets can be merged back together to obtain better clustering results. We use the idea of the so-called dense cut to determine when to stop the splitting phase. We also use a trace-following technique for the so-called boundary data to reduce significantly the computational load involved in the merging phase. Two algorithms are provided, and many experiments are included to show that the data being processed are not required to be linearly separable, noiseless, or formed of spherical clusters.

Rotational Characteristics of the Green Solar Corona: 1947-1991

1994 ◽  
Vol 144 ◽  
pp. 139-141 ◽  
Author(s):  
J. Rybák ◽  
V. Rušin ◽  
M. Rybanský
Keyword(s):  
Solar Corona ◽  
World Wide ◽  
Rotation Period ◽  
Original Data ◽  
Coronal Emission ◽  
Time Intervals ◽  
Data Set ◽  
The World ◽  
Coronal Emission Line ◽  
Homogeneous Data

AbstractFe XIV 530.3 nm coronal emission line observations have been used for the estimation of the green solar corona rotation. A homogeneous data set, created from measurements of the world-wide coronagraphic network, has been examined with a help of correlation analysis to reveal the averaged synodic rotation period as a function of latitude and time over the epoch from 1947 to 1991.The values of the synodic rotation period obtained for this epoch for the whole range of latitudes and a latitude band ±30° are 27.52±0.12 days and 26.95±0.21 days, resp. A differential rotation of green solar corona, with local period maxima around ±60° and minimum of the rotation period at the equator, was confirmed. No clear cyclic variation of the rotation has been found for examinated epoch but some monotonic trends for some time intervals are presented.A detailed investigation of the original data and their correlation functions has shown that an existence of sufficiently reliable tracers is not evident for the whole set of examinated data. This should be taken into account in future more precise estimations of the green corona rotation period.

Difference Fourier Analysis of Glucose Embedded and Frozen Hydrated Purple Membrane

1982 ◽  
Vol 40 ◽  
pp. 74-75
Author(s):  
Jules S. Jaffe ◽  
Robert M. Glaeser
Keyword(s):  
Purple Membrane ◽  
Data Set ◽  
High Resolution Data ◽  
X Ray ◽  
X Ray Crystallography ◽  
Fourier Techniques ◽  
Versus Protein ◽  
The Difference ◽  
Difference Fourier ◽  
Ideal Method

Although difference Fourier techniques are standard in X-ray crystallography it has only been very recently that electron crystallographers have been able to take advantage of this method. We have combined a high resolution data set for frozen glucose embedded Purple Membrane (PM) with a data set collected from PM prepared in the frozen hydrated state in order to visualize any differences in structure due to the different methods of preparation. The increased contrast between protein-ice versus protein-glucose may prove to be an advantage of the frozen hydrated technique for visualizing those parts of bacteriorhodopsin that are embedded in glucose. In addition, surface groups of the protein may be disordered in glucose and ordered in the frozen state. The sensitivity of the difference Fourier technique to small changes in structure provides an ideal method for testing this hypothesis.

Algorithms for automated montage synthesis of images from laser-scanning confocal microscopes

1995 ◽  
Vol 53 ◽  
pp. 650-651
Author(s):  
D. E. Becker
Keyword(s):  
Image Analysis ◽  
High Resolution ◽  
Laser Scanning ◽  
Cell Counting ◽  
Wide Area ◽  
Data Set ◽  
Computational Synthesis ◽  
Automated Cell Counting ◽  
Partial View ◽  
The Individual

An efficient, robust, and widely-applicable technique is presented for computational synthesis of high-resolution, wide-area images of a specimen from a series of overlapping partial views. This technique can also be used to combine the results of various forms of image analysis, such as segmentation, automated cell counting, deblurring, and neuron tracing, to generate representations that are equivalent to processing the large wide-area image, rather than the individual partial views. This can be a first step towards quantitation of the higher-level tissue architecture. The computational approach overcomes mechanical limitations, such as hysterisis and backlash, of microscope stages. It also automates a procedure that is currently done manually. One application is the high-resolution visualization and/or quantitation of large batches of specimens that are much wider than the field of view of the microscope.The automated montage synthesis begins by computing a concise set of landmark points for each partial view. The type of landmarks used can vary greatly depending on the images of interest. In many cases, image analysis performed on each data set can provide useful landmarks. Even when no such “natural” landmarks are available, image processing can often provide useful landmarks.

Merging of electron-diffraction intensities acquired with a slow-scan CCD camera of crotoxin complex crystals to 3.5Å resolution

1994 ◽  
Vol 52 ◽  
pp. 104-105
Author(s):  
Jaap Brink ◽  
Wah Chiu
Keyword(s):  
Electron Diffraction ◽  
Ccd Camera ◽  
Crystal Thickness ◽  
Local Contrast ◽  
Camera Model ◽  
Data Set ◽  
3 Dimensional ◽  
Diffraction Mode ◽  
Diffraction Patterns ◽  
Complex Crystals

Crotoxin complex is the principal neurotoxin of the South American rattlesnake, Crotalus durissus terrificus and has a molecular weight of 24 kDa. The protein is a heterodimer with subunit A assigneda chaperone function. Subunit B carries the lethal activity, which is exerted on both sides ofthe neuro-muscular junction, and which is thought to involve binding to the acetylcholine receptor. Insight in crotoxin complex’ mode of action can be gained from a 3 Å resolution structure obtained by electron crystallography. This abstract communicates our progress in merging the electron diffraction amplitudes into a 3-dimensional (3D) intensity data set close to completion. Since the thickness of crotoxin complex crystals varies from one crystal to the other, we chose to collect tilt series of electron diffraction patterns after determining their thickness. Furthermore, by making use of the symmetry present in these tilt data, intensities collected only from similar crystals will be merged.Suitable crystals of glucose-embedded crotoxin complex were searched for in the defocussed diffraction mode with the goniometer tilted to 55° of higher in a JEOL4000 electron cryo-microscopc operated at 400 kV with the crystals kept at -120°C in a Gatan 626 cryo-holder. The crystal thickness was measured using the local contrast of the crystal relative to the supporting film from search-mode images acquired using a 1024 x 1024 slow-scan CCD camera (model 679, Gatan Inc.).

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.

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