scholarly journals Penerapan Estimasi Posisi dan Tracking Wajah Pada Sistem Presensi Mahasiswa

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Afrillebar Putra Pratama ◽  
Agi Prasetiadi ◽  
Elisa Usada
Keyword(s):  
Learning Algorithm ◽  
Three Dimensional ◽  
Position Estimation ◽  
Three Dimensions ◽  
Tracking Accuracy ◽  
Object Based ◽  
Face Location ◽  
The Face ◽  
Selection Operators ◽  
Computerized System

The current presence system can be done with a computerized system, one of which is the face biometric system. This study focuses on the application of position estimation and tracking based on clustering on people's faces to determine the position in three dimensions. Position estimation can be obtained by making a kernel that is ready to be used to predict three-dimensional coordinates of faces based on two-dimensional coordinates of two images. Position estimation can be done by utilizing the Machine Learning algorithm family. In this study, Least Absolute Shrinkage and Selection Operators (LASSO) is used to perform the position estimation. Meanwhile, clustering in this study uses the K-Means algorithm. Based on the test results, the kernel error obtained in estimating the face location is 9.23 cm. The tracking accuracy of an object based on clustering is 100%.

scholarly journals Towards Automated Three-Dimensional Tracking of Nephrons through Stacked Histological Image Sets

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Charita Bhikha ◽  
Arne Andreasen ◽  
Erik I. Christensen ◽  
Robyn F. R. Letts ◽  
Adam Pantanowitz ◽  
...  
Keyword(s):  
Intelligent System ◽  
Learning Algorithm ◽  
Three Dimensional ◽  
Rule Base ◽  
Interstitial Tissue ◽  
Tracking Accuracy ◽  
Histological Image ◽  
Manual Intervention ◽  
Lower Accuracy ◽  
Standard Tool

An automated approach for tracking individual nephrons through three-dimensional histological image sets of mouse and rat kidneys is presented. In a previous study, the available images were tracked manually through the image sets in order to explore renal microarchitecture. The purpose of the current research is to reduce the time and effort required to manually trace nephrons by creating an automated, intelligent system as a standard tool for such datasets. The algorithm is robust enough to isolate closely packed nephrons and track their convoluted paths despite a number of nonideal, interfering conditions such as local image distortions, artefacts, and interstitial tissue interference. The system comprises image preprocessing, feature extraction, and a custom graph-based tracking algorithm, which is validated by a rule base and a machine learning algorithm. A study of a selection of automatically tracked nephrons, when compared with manual tracking, yields a 95% tracking accuracy for structures in the cortex, while those in the medulla have lower accuracy due to narrower diameter and higher density. Limited manual intervention is introduced to improve tracking, enabling full nephron paths to be obtained with an average of 17 manual corrections per mouse nephron and 58 manual corrections per rat nephron.

Reevaluating Constructivist Norm Theory: A Three-Dimensional Norms Research Program

2022 ◽  
Vol 24 (1) ◽  
Author(s):  
Jeffrey S Lantis ◽  
Carmen Wunderlich
Keyword(s):  
Three Dimensional ◽  
World Politics ◽  
Three Dimensions ◽  
Research Progress ◽  
Three Dimensional Model ◽  
Critical Dimensions ◽  
Complex Processes ◽  
Syrian Civil War ◽  
Spatial Dimensions ◽  
The Face

Abstract Constructivist theories of norm dynamics offer a variety of analytical tools to understand the complex processes of norm emergence, diffusion, and evolution over time. As the literature has developed, though, it lacks a general framing of the interconnections between norms, norm clusters or configurations, and principles or “normativity.” This article advances a new three-dimensional model of constructivist theories of norms that emphasizes the spatial dimensions of norm meanings, legitimacy, and impact and identifies promising avenues for research progress. First, individual norms represent a primary intersubjective structural component that is both developed and contested. Second, theories of norm interrelations or norm clusters provide additional critical dimensions of structuration that may promote resiliency in the face of contestation. Third, norms exist within a larger constellation of norm structures, representing the broadest dimension in world politics. Collisions can occur in this environment, but broader normativity and institutionalization often become activated in the face of serious challenges. As demonstrated using the illustration of international responses to the Syrian civil war (2011 till present), only by attending to all three dimensions of norms can we gain a more accurate understanding of real-world circumstances of norm connections, norm collisions, and the variable effects of norm contestation. The article concludes by identifying promising research avenues building from the three-dimensional framework.

Artificial intelligence in periodontics – A dip in the future

2021 ◽  
pp. 1-6
Author(s):  
Shivani Sachdeva ◽  
Amit Mani ◽  
Hiral Vora ◽  
Harish Saluja ◽  
Shubhangi Mani ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Learning Algorithm ◽  
Three Dimensional ◽  
Computer Software ◽  
Learning Content ◽  
The Face ◽  
Cad Cam ◽  
Radiographic Data ◽  
Cam Systems

BACKGROUND: Artificial intelligence is a relatively newer technology in the field of medical world. This science uses the machine – learning algorithm and computer software to aid in the diagnostics in medical and dental fields. It is a huge talking point in the field of technology which is spreading it’s wings in all possible sectors at a great speed. This field covers solutions from coaching solutions to diagnostics in medical field covering under the umbrella of all what can be achieved by machine and deep learning. CONTENT: In dentistry, artificial intelligence is creating a revolution in all sections from collection of data, creating algorithms for orthodontic procedures, diagnostic records in the aspect of radiographic data, three dimensional scans and cone beam computed tomography, CAD CAM systems for restorative and prosthetic purposes. Similarly continuous research is being done in the field of periodontics in terms of measuring bone loss, amount of plaque present and much more. CONCLUSION: The field of artificial technology with its varied applications will change the face of dentistry in the upcoming times. Artificial intelligence with its application of machine learning will change the face of dentistry in future.

scholarly journals SELF-REGULATION OF GROWTH IN THREE DIMENSIONS

1973 ◽  
Vol 138 (4) ◽  
pp. 745-753 ◽  
Author(s):  
Judah Folkman ◽  
Mark Hochberg
Keyword(s):  
Surface Area ◽  
Self Regulation ◽  
Three Dimensional ◽  
Two Dimensions ◽  
Three Dimensions ◽  
Cell Populations ◽  
Simple Diffusion ◽  
The Face

Multi-cell spheroids were grown in soft agar. When each spheroid was cultured in a large volume of medium, frequently renewed, all spheroids eventually reached a dormant phase at a diameter of approximately 3–4 mm and a population of approximately 106 cells. In the dormant spheroid, newly generated cells at the periphery balanced those lost by necrosis in the center. We propose that this dormant phase is due to a gradual reduction in the ratio of surface area to volume: a size is achieved beyond which there is insufficient surface area for the spheroid to eliminate catabolites and absorb nutrients. Thus, in the face of unlimited space and of new medium, three-dimensional cell populations become self-regulating. This phenomenon contrasts with standard tissue culture in which cell populations, living on a flat plane in two dimensions, will not stop growing in the face of unlimited space and new medium because the ratio of surface area to volume remains constant. These experiments provide a mechanism for our observations in vivo: before vascularization, solid tumors live by simple diffusion as three-dimensional spheroids or ellipsoids. They become dormant at a diameter of only a few millimeters; once vascularized, they are released from this dormant phase and begin exponential growth. Thus, tumor dormancy resulting from absence of angiogenesis in vivo, may operate by the same mechanism responsible for dormancy of spheroids in vitro.

scholarly journals Reflecting theology by a generic model of research designs? Impulses from religious didactics

2021 ◽  
Vol 77 (2) ◽  
Author(s):  
Martin Rothgangel ◽  
Ulrich Riegel
Keyword(s):  
Dimensional Space ◽  
Social Systems ◽  
Three Dimensional ◽  
Three Dimensions ◽  
Generic Model ◽  
Present Contribution ◽  
Essential Point ◽  
Research Designs ◽  
The Face ◽  
Research Goal

A look at history showed that theology always has to face contemporary demands in terms of its scientific character. At present, processes of pluralisation and secularisation challenge the existence of theology at universities not only against the background of religious studies, which are independent of the churches, but also, for example, in relation to innovative life sciences or cognitive sciences. In this context, an essential point to consider was that theology – like social systems in general and science in particular – is characterised by an increasing differentiation. This differentiation of science implied an increasing specialisation of research, which could also be observed in the field of theology and its sub-disciplines. This article accordingly addressed the question of how, in the face of increasingly specialised research studies, the unity of theology can be justified beyond abstract and sweeping determinations. The present contribution suggested that in this respect a model of research designs developed in religious didactics might prove useful. This model of research design could essentially be understood as consisting of three research dimensions (topics, reference theories and methodologies) that define a research space, in which the research study on the didactics of religion can be located in the three-dimensional space by the research goal as a formatting factor. The three dimensions of this model (topics, reference theories and methodologies), including the research goal, seemed to be broad enough to be tested in other sub-disciplines of theology as well to see whether their research can be more closely defined with them.Contribution: Accordingly, the contribution of this article was to raise the question, in view of an increasing specialisation of theological research, to what extent a model of research designs developed in the didactics of religion could be transferred to other sub-disciplines of theology. Should this succeed a new approach to justifying the unity of theology could become available, which is able to take into account the current differentiation of theology.

scholarly journals Eksperimen Pengenalan Wajah dengan fitur Indoor Positioning System menggunakan Algoritma CNN

2020 ◽  
Vol 22 (2) ◽  
pp. 109-116
Author(s):  
Yessi Hartiwi ◽  
Errissya Rasywir ◽  
Yovi Pratama ◽  
Pareza Alam Jusia
Keyword(s):  
Deep Learning ◽  
Learning Algorithm ◽  
Facial Recognition ◽  
Indoor Positioning ◽  
Position Estimation ◽  
Positioning System ◽  
Deep Learning Algorithm ◽  
Position Detection ◽  
The Face ◽  
Indoor Positioning System

Facial recognition work combined with the facial owner's position estimation feature can be utilized in various everyday applications such as face attendance with position detection. Based on this, this study offers a system testing experiment that can be run with facial recognition features and an Indoor Positioning System (IPS) to automatically check the location of the owner of the face. Recently, deep learning algorithms are the most popular method in the world of artificial intelligence. Currently, the Deep Learning algorithm toolbox has provided various programming language platforms. Departing from research findings related to deep learning, this study utilizes this method to perform facial recognition. The system we offer is also capable of checking the position or whereabouts of objects using Indoor Positioning System (IPS) technology. Facial recognition evaluation using CNN obtained a maximum value = 92.89% and an accuracy error value of 7.11%. Meanwhile, the average accuracy obtained is 91.86%. In the evaluation of the estimated position tested using DNN, the highest value of r2 score is 0.934, the lowest is 0.930 and an average is 0.932 and the highest value is MSE is 4.578, the lowest is 4.366 and the average is 4.475. This shows that the facial recognition process that is tested is able to produce good values but not the position estimation process. Keywords: Face Recognition, IPS, CNN, MSE, Accuraccy.

convergent-beam diffraction from surfaces

1987 ◽  
Vol 45 ◽  
pp. 30-33
Author(s):  
J. A. Eades ◽  
A. E. Smith ◽  
D. F. Lynch
Keyword(s):  
Reciprocal Lattice ◽  
Three Dimensional ◽  
Grazing Incidence ◽  
Three Dimensions ◽  
Plane Figure ◽  
Transmission Electron ◽  
Convergent Beam ◽  
Beam Patterns ◽  
Beam Diffraction

It is quite simple (in the transmission electron microscope) to obtain convergent-beam patterns from the surface of a bulk crystal. The beam is focussed onto the surface at near grazing incidence (figure 1) and if the surface is flat the appropriate pattern is obtained in the diffraction plane (figure 2). Such patterns are potentially valuable for the characterization of surfaces just as normal convergent-beam patterns are valuable for the characterization of crystals.There are, however, several important ways in which reflection diffraction from surfaces differs from the more familiar electron diffraction in transmission.GeometryIn reflection diffraction, because of the surface, it is not possible to describe the specimen as periodic in three dimensions, nor is it possible to associate diffraction with a conventional three-dimensional reciprocal lattice.

Extension of the Spatial PDI Model to Three Dimensions

1997 ◽  
Vol 84 (1) ◽  
pp. 176-178
Author(s):  
Frank O'Brien
Keyword(s):  
Population Density ◽  
Dimensional Space ◽  
Finite Lattice ◽  
Three Dimensional ◽  
Upper Bounds ◽  
Three Dimensions ◽  
Lower And Upper Bounds ◽  
Density Index ◽  
Three Dimensional Space

The author's population density index ( PDI) model is extended to three-dimensional distributions. A derived formula is presented that allows for the calculation of the lower and upper bounds of density in three-dimensional space for any finite lattice.

Wake Flow of Single and Multiple Yawed Cylinders

2004 ◽  
Vol 126 (5) ◽  
pp. 861-870 ◽  
Author(s):  
A. Thakur ◽  
X. Liu ◽  
J. S. Marshall
Keyword(s):  
Computational Study ◽  
Three Dimensional ◽  
Side Wall ◽  
Wake Flow ◽  
Upstream Region ◽  
Two Dimensional ◽  
Cylinder Wake ◽  
Dimensional Approximation ◽  
The Face ◽  
Drag And Lift

An experimental and computational study is performed of the wake flow behind a single yawed cylinder and a pair of parallel yawed cylinders placed in tandem. The experiments are performed for a yawed cylinder and a pair of yawed cylinders towed in a tank. Laser-induced fluorescence is used for flow visualization and particle-image velocimetry is used for quantitative velocity and vorticity measurement. Computations are performed using a second-order accurate block-structured finite-volume method with periodic boundary conditions along the cylinder axis. Results are applied to assess the applicability of a quasi-two-dimensional approximation, which assumes that the flow field is the same for any slice of the flow over the cylinder cross section. For a single cylinder, it is found that the cylinder wake vortices approach a quasi-two-dimensional state away from the cylinder upstream end for all cases examined (in which the cylinder yaw angle covers the range 0⩽ϕ⩽60°). Within the upstream region, the vortex orientation is found to be influenced by the tank side-wall boundary condition relative to the cylinder. For the case of two parallel yawed cylinders, vortices shed from the upstream cylinder are found to remain nearly quasi-two-dimensional as they are advected back and reach within about a cylinder diameter from the face of the downstream cylinder. As the vortices advect closer to the cylinder, the vortex cores become highly deformed and wrap around the downstream cylinder face. Three-dimensional perturbations of the upstream vortices are amplified as the vortices impact upon the downstream cylinder, such that during the final stages of vortex impact the quasi-two-dimensional nature of the flow breaks down and the vorticity field for the impacting vortices acquire significant three-dimensional perturbations. Quasi-two-dimensional and fully three-dimensional computational results are compared to assess the accuracy of the quasi-two-dimensional approximation in prediction of drag and lift coefficients of the cylinders.

scholarly journals Estimating intrafraction tumor motion during fiducial-based liver stereotactic radiotherapy via an iterative closest point (ICP) algorithm

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Wu-zhou Li ◽  
Zhi-wen Liang ◽  
Yi Cao ◽  
Ting-ting Cao ◽  
Hong Quan ◽  
...  
Keyword(s):  
Stereotactic Radiotherapy ◽  
Imaging System ◽  
Liver Tumors ◽  
Three Dimensional ◽  
Rigid Motion ◽  
Iterative Closest Point ◽  
Tumor Motion ◽  
Tracking Accuracy ◽  
Icp Algorithm ◽  
Anterior Posterior

Abstract Background Tumor motion may compromise the accuracy of liver stereotactic radiotherapy. In order to carry out a precise planning, estimating liver tumor motion during radiotherapy has received a lot of attention. Previous approach may have difficult to deal with image data corrupted by noise. The iterative closest point (ICP) algorithm is widely used for estimating the rigid registration of three-dimensional point sets when these data were dense or corrupted. In the light of this, our study estimated the three-dimensional (3D) rigid motion of liver tumors during stereotactic liver radiotherapy using reconstructed 3D coordinates of fiducials based on the ICP algorithm. Methods Four hundred ninety-five pairs of orthogonal kilovoltage (KV) images from the CyberKnife stereo imaging system for 12 patients were used in this study. For each pair of images, the 3D coordinates of fiducial markers inside the liver were calculated via geometric derivations. The 3D coordinates were used to calculate the real-time translational and rotational motion of liver tumors around three axes via an ICP algorithm. The residual error was also investigated both with and without rotational correction. Results The translational shifts of liver tumors in left-right (LR), anterior-posterior (AP),and superior-inferior (SI) directions were 2.92 ± 1.98 mm, 5.54 ± 3.12 mm, and 16.22 ± 5.86 mm, respectively; the rotational angles in left-right (LR), anterior-posterior (AP), and superior-inferior (SI) directions were 3.95° ± 3.08°, 4.93° ± 2.90°, and 4.09° ± 1.99°, respectively. Rotational correction decreased 3D fiducial displacement from 1.19 ± 0.35 mm to 0.65 ± 0.24 mm (P<0.001). Conclusions The maximum translational movement occurred in the SI direction. Rotational correction decreased fiducial displacements and increased tumor tracking accuracy.

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