scholarly journals Laboratory Investigations of Extrasensory Identification of Concealed 5-Character Codes by a Presumably Gifted Teenager

2021 ◽  
Vol 35 (3) ◽  
pp. 570-589
Author(s):  
Dong Shen ◽  
Run-Sheng Shen ◽  
Gang Li ◽  
Daqing Piao
Keyword(s):  
Generation Process ◽  
Image Generation ◽  
Video Cameras ◽  
Extrasensory Perception ◽  
Hit Rate ◽  
Character String ◽  
Experimental Process ◽  
Laboratory Investigations ◽  
The Mean ◽  
Bold Type

This report summarizes three “eyeless sight” experiments and reaffirms the authenticity of the phenomenon of clairvoyance (extrasensory perception). On 2014 and 2015, a total of 37 trials were conducted. Each trial involved a computer printing a 5-character permutation (e.g. 37K9J) in bold type on a piece of paper which was then folded to conceal the text. The “eyeless sight” practitioner was a girl who had previously been trained to develop her “eyeless sight” ability. The practitioner held the folded specimen between her thumb and forefinger. After adjusting to a specific state of consciousness (Second Consciousness State, SCS), the practitioner visualized a “ Third Eye Screen” (TES) in front of her forehead. The five-character string was then automatically perceived on the TES by the practitioner. After the perceived image stabilized, the permutation was reported to the researcher and transcribed. The whole experimental process was recorded on video cameras. The mean chance expectation for the correct hit rate of a five-character permutation is p≈10-70 and is vanishingly small. The importance of the SCS and the image generation process on the TES is discussed. Key words: Eyeless sight - Extrasensory perception (ESP) - Psychokinesis (PK) - Third Eye Screen (TES) - First Consciousness State (FCS) - Second Consciousness State (SCS) - recognition of characters with fingers (Clairvoyance)

scholarly journals High-dynamic-range imaging for cloud segmentation

2018 ◽  
Vol 11 (4) ◽  
pp. 2041-2049 ◽  
Author(s):  
Soumyabrata Dev ◽  
Florian M. Savoy ◽  
Yee Hui Lee ◽  
Stefan Winkler
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Wide Field ◽  
Single Shot ◽  
Generation Process ◽  
Image Generation ◽  
Large Dynamic Range ◽  
Exposure Fusion ◽  
Wide Field Of View ◽  
High Dynamic

Abstract. Sky–cloud images obtained from ground-based sky cameras are usually captured using a fisheye lens with a wide field of view. However, the sky exhibits a large dynamic range in terms of luminance, more than a conventional camera can capture. It is thus difficult to capture the details of an entire scene with a regular camera in a single shot. In most cases, the circumsolar region is overexposed, and the regions near the horizon are underexposed. This renders cloud segmentation for such images difficult. In this paper, we propose HDRCloudSeg – an effective method for cloud segmentation using high-dynamic-range (HDR) imaging based on multi-exposure fusion. We describe the HDR image generation process and release a new database to the community for benchmarking. Our proposed approach is the first using HDR radiance maps for cloud segmentation and achieves very good results.

Unsteady aerodynamic force generation by a model fruit fly wing in flapping motion

2002 ◽  
Vol 205 (1) ◽  
pp. 55-70 ◽  
Author(s):  
Mao Sun ◽  
Jian Tang
Keyword(s):  
Aerodynamic Force ◽  
Lift Coefficient ◽  
Unsteady Aerodynamics ◽  
Fruit Fly ◽  
Force Generation ◽  
Generation Process ◽  
Flapping Motion ◽  
Unsteady Aerodynamic ◽  
The Mean ◽  
Unsteady Aerodynamic Force

SUMMARY A computational fluid-dynamic analysis was conducted to study the unsteady aerodynamics of a model fruit fly wing. The wing performs an idealized flapping motion that emulates the wing motion of a fruit fly in normal hovering flight. The Navier–Stokes equations are solved numerically. The solution provides the flow and pressure fields, from which the aerodynamic forces and vorticity wake structure are obtained. Insights into the unsteady aerodynamic force generation process are gained from the force and flow-structure information. Considerable lift can be produced when the majority of the wing rotation is conducted near the end of a stroke or wing rotation precedes stroke reversal (rotation advanced), and the mean lift coefficient can be more than twice the quasi-steady value. Three mechanisms are responsible for the large lift: the rapid acceleration of the wing at the beginning of a stroke, the absence of stall during the stroke and the fast pitching-up rotation of the wing near the end of the stroke. When half the wing rotation is conducted near the end of a stroke and half at the beginning of the next stroke (symmetrical rotation), the lift at the beginning and near the end of a stroke becomes smaller because the effects of the first and third mechanisms above are reduced. The mean lift coefficient is smaller than that of the rotation-advanced case, but is still 80 % larger than the quasi-steady value. When the majority of the rotation is delayed until the beginning of the next stroke (rotation delayed), the lift at the beginning and near the end of a stroke becomes very small or even negative because the effect of the first mechanism above is cancelled and the third mechanism does not apply in this case. The mean lift coefficient is much smaller than in the other two cases.

Decomposition of the mean skin-friction drag in compressible turbulent channel flows

2019 ◽  
Vol 875 ◽  
pp. 101-123 ◽  
Author(s):  
Weipeng Li ◽  
Yitong Fan ◽  
Davide Modesti ◽  
Cheng Cheng
Keyword(s):  
Heat Flux ◽  
Mach Number ◽  
Skin Friction ◽  
Wall Layer ◽  
Channel Flows ◽  
Wall Heat Flux ◽  
Generation Process ◽  
Friction Drag ◽  
Turbulent Channel Flows ◽  
The Mean

The mean skin-friction drag in a wall-bounded turbulent flow can be decomposed into different physics-informed contributions based on the mean and statistical turbulence quantities across the wall layer. Following Renard & Deck’s study (J. Fluid Mech., vol. 790, 2016, pp. 339–367) on the skin-friction drag decomposition of incompressible wall-bounded turbulence, we extend their method to a compressible form and use it to investigate the effect of density and viscosity variations on skin-friction drag generation, using direct numerical simulation data of compressible turbulent channel flows. We use this novel decomposition to study the skin-friction contributions associated with the molecular viscous dissipation and the turbulent kinetic energy production and we investigate their dependence on Reynolds and Mach number. We show that, upon application of the compressibility transformation of Trettel & Larsson (Phys. Fluids, vol. 28, 2016, 026102), the skin-friction drag contributions can be only partially transformed into the equivalent incompressible ones, as additional terms appear representing deviations from the incompressible counterpart. Nevertheless, these additional contributions are found to be negligible at sufficiently large equivalent Reynolds number and low Mach number. Moreover, we derive an exact relationship between the wall heat flux coefficient and the skin-friction drag coefficient, which allows us to relate the wall heat flux to the skin-friction generation process.

Generation mechanism of a hierarchy of vortices in a turbulent boundary layer

2019 ◽  
Vol 865 ◽  
pp. 1085-1109 ◽  
Author(s):  
Yutaro Motoori ◽  
Susumu Goto
Keyword(s):  
Boundary Layer ◽  
Reynolds Number ◽  
Energy Spectrum ◽  
Turbulent Boundary Layer ◽  
Large Scale ◽  
Generation Mechanism ◽  
Small Scale ◽  
Generation Process ◽  
Mean Flow ◽  
The Mean

To understand the generation mechanism of a hierarchy of multiscale vortices in a high-Reynolds-number turbulent boundary layer, we conduct direct numerical simulations and educe the hierarchy of vortices by applying a coarse-graining method to the simulated turbulent velocity field. When the Reynolds number is high enough for the premultiplied energy spectrum of the streamwise velocity component to show the second peak and for the energy spectrum to obey the$-5/3$power law, small-scale vortices, that is, vortices sufficiently smaller than the height from the wall, in the log layer are generated predominantly by the stretching in strain-rate fields at larger scales rather than by the mean-flow stretching. In such a case, the twice-larger scale contributes most to the stretching of smaller-scale vortices. This generation mechanism of small-scale vortices is similar to the one observed in fully developed turbulence in a periodic cube and consistent with the picture of the energy cascade. On the other hand, large-scale vortices, that is, vortices as large as the height, are stretched and amplified directly by the mean flow. We show quantitative evidence of these scale-dependent generation mechanisms of vortices on the basis of numerical analyses of the scale-dependent enstrophy production rate. We also demonstrate concrete examples of the generation process of the hierarchy of multiscale vortices.

A Coverless Image Information Hiding Algorithm Based on Fractal Theory

2020 ◽  
Vol 30 (04) ◽  
pp. 2050062
Author(s):  
Xiang Zhang ◽  
Fei Peng ◽  
Zixing Lin ◽  
Min Long
Keyword(s):  
Information Hiding ◽  
Fractal Theory ◽  
Covert Communication ◽  
Generation Process ◽  
Image Generation ◽  
Generation Algorithm ◽  
Image Information ◽  
Fractal Image ◽  
Coverless Information Hiding ◽  
The Relationship

To improve the robustness and imperceptibility of the existing coverless image information hiding, a generative coverless image information hiding algorithm based on fractal theory is proposed in this paper. Firstly, four fractal image generation methods are analyzed, and the relationship between the coverless information hiding and these methods is discussed. Secondly, based on the fractal image generation algorithm, secret information is hidden by controlling pixel rendering during the generation process. The robustness, imperceptibility, and capability of resisting steganalysis are balanced by adjusting the rendering distance. As it directly generates stego images, this can resist the detection of most existing steganalysis methods. Meanwhile, different capacities can be achieved by adjusting the size of the generated image. Experimental results and analysis show that the proposed scheme can effectively resist steganalysis and has good robustness against various image attacks. Furthermore, it can achieve large capacity, and it has broad prospects for covert communication.

Probing Vividness Increment through Imagery Interruption

2003 ◽  
Vol 23 (1) ◽  
pp. 63-78 ◽  
Author(s):  
Amedeo D'Angiulli ◽  
Adam Reeves
Keyword(s):  
Individual Differences ◽  
Visual Experience ◽  
Mental Image ◽  
Full Detail ◽  
Implicit Assumption ◽  
Generation Process ◽  
Image Generation ◽  
Changes Over Time ◽  
Over Time

The purpose of the present study was to trace how visual experience changes over time during mental image generation, by using an interruption paradigm. In one experiment, participants were asked to read the verbal descriptions of eight common objects and imagine these objects. Changes in the quality of the images evoked by the eight stimuli were probed by interrupting the visual mental image generation process at various times from 0 to 1.7 s, and asking participants to rate the vividness of their image at the time of interruption. We found that vividness increased as the time allowed for image generation was augmented. This relationship was consistently detected in half of the participants and for all stimuli. The present findings support the implicit assumption of some current imagery models positing that mental images “improve” over time, and reject the alternative that images are generated in full detail before becoming accessible to consciousness. However, the “incremental” view is unsatisfactory for imagery models which make no (or not enough) room for individual differences.

scholarly journals Generate, Segment, and Refine: Towards Generic Manipulation Segmentation

2020 ◽  
Vol 34 (07) ◽  
pp. 13058-13065 ◽  
Author(s):  
Peng Zhou ◽  
Bor-Chun Chen ◽  
Xintong Han ◽  
Mahyar Najibi ◽  
Abhinav Shrivastava ◽  
...  
Keyword(s):  
State Of The Art ◽  
Training Data ◽  
The Internet ◽  
Generation Process ◽  
Image Generation ◽  
Image Sharing ◽  
Current State ◽  
Photo Editing ◽  
Traditional Work ◽  
False News

Detecting manipulated images has become a significant emerging challenge. The advent of image sharing platforms and the easy availability of advanced photo editing software have resulted in a large quantities of manipulated images being shared on the internet. While the intent behind such manipulations varies widely, concerns on the spread of false news and misinformation is growing. Current state of the art methods for detecting these manipulated images suffers from the lack of training data due to the laborious labeling process. We address this problem in this paper, for which we introduce a manipulated image generation process that creates true positives using currently available datasets. Drawing from traditional work on image blending, we propose a novel generator for creating such examples. In addition, we also propose to further create examples that force the algorithm to focus on boundary artifacts during training. Strong experimental results validate our proposal.

scholarly journals A Transfer Deep Generative Adversarial Network Model to Synthetic Brain CT Generation from MR Images

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yi Gu ◽  
Qiankun Zheng
Keyword(s):  
Transfer Learning ◽  
Network Model ◽  
Medical Images ◽  
Image Method ◽  
Data Sets ◽  
Generation Process ◽  
Image Generation ◽  
Generative Adversarial Network ◽  
Model Based ◽  
Adversarial Network

Background. The generation of medical images is to convert the existing medical images into one or more required medical images to reduce the time required for sample diagnosis and the radiation to the human body from multiple medical images taken. Therefore, the research on the generation of medical images has important clinical significance. At present, there are many methods in this field. For example, in the image generation process based on the fuzzy C-means (FCM) clustering method, due to the unique clustering idea of FCM, the images generated by this method are uncertain of the attribution of certain organizations. This will cause the details of the image to be unclear, and the resulting image quality is not high. With the development of the generative adversarial network (GAN) model, many improved methods based on the deep GAN model were born. Pix2Pix is a GAN model based on UNet. The core idea of this method is to use paired two types of medical images for deep neural network fitting, thereby generating high-quality images. The disadvantage is that the requirements for data are very strict, and the two types of medical images must be paired one by one. DualGAN model is a network model based on transfer learning. The model cuts the 3D image into multiple 2D slices, simulates each slice, and merges the generated results. The disadvantage is that every time an image is generated, bar-shaped “shadows” will be generated in the three-dimensional image. Method/Material. To solve the above problems and ensure the quality of image generation, this paper proposes a Dual3D&PatchGAN model based on transfer learning. Since Dual3D&PatchGAN is set based on transfer learning, there is no need for one-to-one paired data sets, only two types of medical image data sets are needed, which has important practical significance for applications. This model can eliminate the bar-shaped “shadows” produced by DualGAN’s generated images and can also perform two-way conversion of the two types of images. Results. From the multiple evaluation indicators of the experimental results, it can be analyzed that Dual3D&PatchGAN is more suitable for the generation of medical images than other models, and its generation effect is better.

scholarly journals C – REACTIVE PROTEIN

2015 ◽  
Vol 22 (02) ◽  
pp. 256-262
Author(s):  
Ahmed Hussain ◽  
Shahnawaz Abro ◽  
Ashfaque Ahmed Bhurgiri ◽  
Raheel Imtiaz Memon ◽  
Syed Zulfiquar Ali Shah
Keyword(s):  
Acute Appendicitis ◽  
University Hospital ◽  
Radiographic Imaging ◽  
C Reactive Protein ◽  
Diagnostic Laboratory ◽  
Cross Sectional ◽  
Male And Female ◽  
Reactive Protein ◽  
Laboratory Investigations ◽  
The Mean

Acute appendicitis is the most common abdominal surgical emergency despiteadvances in radiographic imaging and diagnostic laboratory investigations; the diagnosis ofacute appendicitis remains challenge. Objectives: To evaluate the C-reactive protein in patientswith acute appendicitis. Patients and methods: This cross sectional descriptive study of sixmonths study was conducted at Liaquat University Hospital Hyderabad. All the patients withacute appendicitis were admitted in the ward and were further evaluated for C-reactive protein.The data was analyzed in SPSS 16 and the frequency and percentage was calculated. Results:One hundred subjects with acute appendicitis were recruited and studies. The mean age ±SD ofthe patients was 27.83±07.52 in overall population while it was 29.73±06.64 and 25.84±04.92in male and female subjects with acute appendicitis. The CRP was raised in 60% patients. Thedistribution of age in relation to gender and CRP was statisitically significant (p= 0.01 and<0.01) whereas the CRP was also observed as statistically significant in context to genderand histopathology (p= 0.02 and 0.03) respectively. The mean ±SD of CRP was 7.53±1.52in overall population while it was 6.84±1.64 and 8.65±1.53 in male and female patients withraised CRP. Conclusions: The CRP was elevated in patients with acute appendicitis.

scholarly journals Experimental Disproof of a Manga Character Construction Model

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 838
Author(s):  
Tetsuya Matsui ◽  
Yukio-Pegio Gunji
Keyword(s):  
Rough Set ◽  
Social Group ◽  
Social Groups ◽  
Mental Image ◽  
Virtual Agents ◽  
Generation Process ◽  
Image Generation ◽  
Induction Method ◽  
Social Images ◽  
Construction Model

In prior works, the impression of elements of virtual agents/manga character and the overall impression of virtual agents/manga character were considered completely symmetric. In this work, we conducted a preliminary experiment to develop a system that creates designs of virtual agents depending on a text. In this experiment, the participants read the text and chose the image of an agent and social group that resembled their mental image. We introduced the lattice derived by the rough set induction method to suggest the model to analyze the mental image. In this model, we constructed the lattice from two interpretations to evaluate the complexity of the mental image generation process. As a result, the lattices derived by social groups and appearance were non-Boolean; however, those derived by two kinds of design features were not non-Boolean. This result shows that the mental appearance and social images cannot be combined voluntarily. This result showed that it is not symmetric between each element of virtual agents/manga character and overall virtual agents/manga character.

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