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The Solution Cosmological Constant Problem. Quantum Field Theory in Fractal Space-Time with Negative Hausdorff-Colombeau Dimensions and Dark Matter Nature

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Journal of Physics: Conference Series 2019年第1期1391卷

作者： Jaykov Foukzon Elena R Men'kova Alexander A Potapov Department of mathematics Israel Institute of Technology Haifa 3200003 Israel All-Russian Research Institute for Optical and Physical Measurements Moscow 119361 Russia Kotelínikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences Moscow 125009 Russia JNU-IREE Joint Laboratory of Fractal Method and Signal Processing Department of Electronic Engineering College of Information Science and Technology Jinan University Guangzhou People's Republic of China

The cosmological constant problem arises because the magnitude of vacuum energy density predicted by quantum field theory is about 120 orders of magnitude larger than the value implied by cosmological observations of accelerating cosmic expansion. We pointed out that the fractal nature of the quantum space-time with negative Hausdorff- Colombeau dimensions can resolve this tension. The canonical Quantum Field Theory is widely believed to break down at some fundamental high-energy cutoff Λ* and therefore the quantum fluctuations in the vacuum can be treated classically seriously only up to this high-energy cutoff. In this paper we argue that Quantum Field Theory in fractal space-time with negative Hausdorff-Colombeau dimensions gives high-energy cutoff on natural way. We argue that there exists hidden physical mechanism which cancel divergences in canonical QED 4, QCD 4, Higher-Derivative - Quantum-Gravity, etc. In fact we argue that corresponding supermassive Pauli-Villars ghost fields really exists. It means that there exists the ghost-driven acceleration of the univers hidden in cosmological constant. In order to obtain desired physical result we apply the canonical Pauli-Villars regularization up to Λ*. This would fit in the observed value of the dark energy needed to explain the accelerated expansion of the universe if we choose highly symmetric masses distribution between standard matter and ghost matter below that scale Λ*,i.e., fs.m (µ) ≈ −fg.m (µ), µ = mc, µ ≤ µ eff, µ eff < Λ*/c. The small value of the cosmological constant explaned by tiny violation of the symmetry between standard matter and ghost matter. Dark matter nature also explaned using a common origin of the dark energy and dark matter phenomena.

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The EPR-B Paradox Resolution. Bell inequalities revisited.

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Journal of Physics: Conference Series 2019年第1期1391卷

One of the Bell's assumptions in the original derivation of his inequalities was the hypothesis of locality, i.e., the absence of the influence of two remote measuring instruments on one another. That is why violations of these inequalities observed in experiments are often interpreted as a manifestation of the nonlocal nature of quantum mechanics, or a refutation of a local realism. It is well known that the Bell's inequality was derived in its traditional form, without resorting to the hypothesis of locality and without the introduction of hidden variables, the only assumption being that the probability distributions are nonnegative. This can therefore be regarded as a rigorous proof that the hypothesis of locality and the hypothesis of existence of the hidden variables not relevant to violations of Bell's inequalities. The physical meaning of the obtained results is examined. Physical nature of the violation of the Bell inequalities is explained under new EPR-B nonlocality postulate. We show that the correlations of the observables involved in the Bohm–Bell type experiments can be expressed as correlations of classical random variables. The revisited Bell type inequality in canonical notatons reads 〈AB〉 + 〈A'B〉 + 〈AB'〉 − 〈A'B'〉 ≤ 6.

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R3-Net: A deep network for multi-oriented vehicle detection in aerial images and videos

arXiv

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arXiv 2018年

作者： Li, Qingpeng Mou, Lichao Xu, Qizhi Zhang, Yun Zhu, Xiao Xiang State Key Laboratory of Virtual Reality Technology and Systems Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing100191 China Remote Sensing Technology Institute German Aerospace Center Wessling82234 Germany Signal Processing in Earth Observation Technical University of Munich Munich80333 Germany Canada Research Chair Laboratory in Advanced Geomatics Image Processing Department of Geodesy and Geomatics Engineering University of New Brunswick FrederictonNBE3B 5A3 Canada

Vehicle detection is a significant and challenging task in aerial remote sensing applications. Most existing methods detect vehicles with regular rectangle boxes and fail to offer the orientation of vehicles. However, the orientation information is crucial for several practical applications, such as the trajectory and motion estimation of vehicles. In this paper, we propose a novel deep network, called rotatable region-based residual network (R3-Net), to detect multi-oriented vehicles in aerial images and videos. More specially, R3-Net is utilized to generate rotatable rectangular target boxes in a half coordinate system. First, we use a rotatable region proposal network (R-RPN) to generate rotatable region of interests (R-RoIs) from feature maps produced by a deep convolutional neural network. Here, a proposed batch averaging rotatable anchor (BAR anchor) strategy is applied to initialize the shape of vehicle candidates. Next, we propose a rotatable detection network (R-DN) for the final classification and regression of the R-RoIs. In RDN, a novel rotatable position sensitive pooling (R-PS pooling) is designed to keep the position and orientation information simultaneously while downsampling the feature maps of RRoIs. In our model, R-RPN and R-DN can be trained jointly. We test our network on two open vehicle detection image datasets, namely DLR 3K Munich Dataset and VEDAI Dataset, demonstrating the high precision and robustness of our method. In addition, further experiments on aerial videos show the good generalization capability of the proposed method and its potential for vehicle tracking in aerial videos. The demo video is available at https://***/xCYD-tYudN0. Copyright © 2018, The Authors. All rights reserved.

关键词： Remote sensing

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High spatio-temporal resolution land surface temperature mission - A copernicus candidate mission in support of agricultural monitoring 38

High spatio-temporal resolution land surface temperature mis...

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38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018

作者： Koetz, Benjamin Bastiaanssen, Wim Berger, Michael Defourney, Pierre Bello, Umberto Del Drusch, Matthias Drinkwater, Mark Duca, Ricardo Fernandez, Valerie Ghent, Darren Guzinski, Radoslaw Hoogeveen, Jippe Hook, Simon Lagouarde, Jean-Pierre Lemoine, Guido Manolis, Ilias Martimort, Philippe Masek, Jeff Massart, Michel Notarnicola, Claudia Sobrino, Jose Udelhoven, Thomas European Space Agency ESRIN Via Galilei Galileo Frascati Italy UNESCO IHE Delft Institute for Water Education Delft Netherlands Université Catholique de Louvain Earth and Life Institute Instead of Environmental Sciences Louvain-la-Neuve Belgium European Space Agency ESTEC Noordwik Netherlands University of Leicester Leicester United Kingdom UN Food and Agriculture Organization Land and Water Division Rome Italy Jet Propulsion Laboratory Pasadena United States INRA UMR 1391 ISPA Villenave d'Ornon France European Commission DG Joint Research Center Ispra Italy NASA Goddard Space Flight Center Greenblet United States European Commission DG-Grow Brussels Belgium EURAC Institute for Earth Observation Bolzano Italy University of Valencia Image Processing Laboratory Valencia Spain University of Trier Geography and Geosciences Trier Germany

ISBN: (纸本)9781538671504

Evolution in the Copernicus Space Component (CSC) is foreseen in the mid-2020s to meet priority Copernicus user needs not addressed by the existing infrastructure, and/or to reinforce services by monitoring capability in the thematic domains of CO2, polar, and agriculture/forestry. This evolution will be synergetic with the enhanced continuity of services for the next generation of CSC. The “High Spatio-Temporal Resolution Land Surface Temperature Monitoring (LSTM) Mission”, identified as one of the CSC Expansion High Priority Candidate Missions (HPCM), currently undergoes an ESA preparatory phase (phase A/B1) study to establish mission feasibility. The LSTM mission shall provide enhanced measurements of land surface temperature with a focus responding to user requirements related to agricultural monitoring. © 2018 IEEE

关键词： Water resources Agriculture Land surface temperature Monitoring Europe Land surface Earth

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Video Emotion Recognition using Hand-Crafted and Deep Learning Features

Video Emotion Recognition using Hand-Crafted and Deep Learni...

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Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia)

作者： Xiaohan Xia Jiamu Liu Tao Yang Dongmei Jiang Wenjing Han Hichem Sahli NPU-VUB Joint AVSP Research Lab School of Computer Science Northwestern Polytechnical University (NPU) Shaanxi Key Lab on Speech and Image Information Processing 127 Youyi Xilu Xi’an China Samsum R&D Institute China-Beijing Floor 18 Sun Palace Building 12A Sun Palace Road Chaoyang District Beijing China Interuniversity Microelectronics Centre(IMEC) Kepeldreef 75 Heverlee Belgium

ISBN: (纸本)9781538653128

In this paper, we present our system designed for the video emotion recognition task of the Multimodal Emotion Challenge (MEC 2017). Histogram of Oriented Gradients (HOG), face shape (SHAPE), and geometric (GEO) features are extracted from the detected face images as hand-crafted video features. A pre-trained VGG-Face model is fine-tuned with the face images and emotion labels from the training set of CHEAVD 2.0, the outputs of the penultimate fully-connected layer (FC6) and the last fully-connected layer (FC7) are adopted as Deep Convolutional Neural Network (DCNN) based features. For each video clip, the hand-crafted features and DCNN based features are input into corresponding hidden Markov models (HMMs, one for each emotion class), respectively, for the initial emotion recognitions. The output logarithm likelihood probabilities from the HMMs are then ranked, and the orders constitute an eight-dimensional feature vector as inputs to a Naive Bayes classifier for decision fusion. Experimental results on the CHEAVD 2.0 database show that the combination of FC6, GEO, SHAPE and HOG features obtains the highest macro average precisions (MAPs) on both the validation set (46.61%) and test set (43.88%), which are 12.51% and 22.18% higher than the baseline results, respectively.

关键词： Face Emotion recognition Shape Feature extraction Hidden Markov models Task analysis

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Leaf chlorophyll and nitrogen dynamics and their relationship to lowland rice yield for site-specific paddy management

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Information processing in Agriculture 2017年第4期4卷 259-268页

作者： Asa Gholizadeh Mohammadmehdi Saberioon Lubos Boruvka Aimrun Wayayok Mohd Amin Mohd Soom Department of Soil Science and Soil Protection Faculty of AgrobiologyFood and Natural ResourcesCzech University of Life Sciences PraguePragueCzech Republic Laboratory of Signal and Image Processing Institute of Complex SystemsSouth Bohemia Research Centre of Aquaculture and Biodiversity of HydrocenosesFaculty of Fisheries and Protection of WatersUniversity of South Bohemia in Ceske BudejoviceNove HradyCzech Republic Department of Biological and Agricultural Engineering Faculty of EngineeringUniversity Putra MalaysiaSelangorMalaysia Faculty of Sustainable Agriculture University Malaysia SabahSandakanMalaysia

The optimum rate and application timing of Nitrogen(N)fertilizer are crucial in achieving a high yield in rice cultivation;however,conventional laboratory testing of plant nutrients is time-consuming and *** develop a site-specific spatial variable rate application method to overcome the limitations of traditional techniques,especially in fields under a double-cropping system,this study focused on the relationship between Soil Plant Analysis Development(SPAD)chlorophyll meter readings and N content in leaves during different growth stages to introduce the most suitable stage for assessment of crop N and prediction of rice *** SPAD readings and leaf N content were measured on the uppermost fully expanded leaf at panicle formation and booting *** yield was also measured at the end of the *** analysis of variance,variogram,and kriging were calculated to determine the variability of attributes and their relationship,and finally,variability maps were *** linear relationships were observed between attributes,with the same trends in different sampling dates;however,accuracy of semivariance estimation reduces with the growth *** of the study also implied that there was a better relationship between rice leaf N content(R^2=0.93),as well as yield(R2=0.81),with SPAD readings at the panicle formation ***,the SPAD-based evaluation of N status and prediction of rice yield is more reliable on this stage rather than at the booting *** study proved that the application of SPAD chlorophyll meter paves the way for real-time paddy N management and grain yield *** can be reliably exploited in precision agriculture of paddy fields under double-cropping cultivation to understand and control spatial variations.

关键词： Spatial variability Non-invasive measurement Precision farming Decision support

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Multidimensional correlation spectroscopic imaging of exponential decays: From theoretical principles to in vivo human applications

arXiv

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arXiv 2018年

作者： Kim, Daeun Wisnowski, Jessica L. Nguyen, Christopher T. Haldar, Justin P. Biomedical Imaging Research Institute Cedars-Sinai Medical Center CA United States Ming Hsieh Department of Electrical and Computer Engineering University of Southern California CA United States Signal and Image Processing Institute University of Southern California CA United States Radiology Children's Hospital Los Angeles CA United States Pediatrics Children's Hospital Los Angeles CA United States Harvard Medical School Cardiovascular Research Center Massachusetts General Hospital MA United States Martinos Center for Biomedical Imaging Radiology Massachusetts General Hospital MA United States

Multiexponential modeling of relaxation or diffusion MR signal decays is a popular approach for estimating and spatially mapping different microstructural tissue compartments. While this approach can be quite powerful, it is also limited by the fact that one-dimensional multiexponential modeling is an ill-posed inverse problem with substantial ambiguities. In this paper, we present an overview of a recent multidimensional correlation spectroscopic imaging approach to this problem. This approach helps to alleviate ill-posedness by leveraging multidimensional contrast encoding (e.g., 2D diffusion-relaxation encoding or 2D relaxation-relaxation encoding) combined with a regularized spatial-spectral estimation procedure. Theoretical calculations, simulations, and experimental results are used to illustrate the benefits of this approach relative to classical methods. In addition, we demonstrate an initial proof-of-principle application of this kind of approach to in vivo human MRI experiments. Copyright © 2018, The Authors. All rights reserved.

关键词： signal encoding

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A semi-automatic algorithm for reconstruction and NURBS surface generation of thoracic aorta

A semi-automatic algorithm for reconstruction and NURBS surf...

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IEEE International Workshop on Imaging Systems and Techniques (IST)

作者： Panagiotis I. Koulountzios Michael E. Zervakis Panagiotis L. Karakitsios Georgios E. Stavroulakis Institute of Digital Image and Signal Processing Technical University of Crete Chania Crete Greece Institute of Structural Analysis and Antiseismic Research National Technical University of Athens Zografou Campus Greece Institute of Computational Mechanics and Optimization Technical University of Crete Chania Crete Greece

Our initial work was motivated by the need for both quick and accurate computer-aided measurement of human organs, which is vital for an early medical diagnosis. This paper deals with the thoracic aorta, whose abnormalities are often related to cardiovascular diseases. It presents an innovative approach for semi-automated reconstruction and NURBS-based simulation, which has been applied on real patient data sets. We developed a basic pipeline, which starts with processing MRI DICOM files from the thoracic region. In the first stage, image processing techniques have been used to enhance the quality of the images and then the tracking of the aortic cross-sections' boundaries ends up to the corresponding point cloud. Based on this cloud, a reverse engineering method generates Non-Uniform Rational B-SPLine (NURBS) surfaces. This is accomplished by fitting cubic B-SPLines to the cross-sections, which generate the 2D NURBS model, means the outer surface of the aorta.

关键词： Splines (mathematics) Surface reconstruction Surface topography Biomedical imaging Three-dimensional displays image segmentation image edge detection

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Frequency-Dependent Modulation and Coding Rates for LTE Link Adaptation in Static Conditions

Frequency-Dependent Modulation and Coding Rates for LTE Link...

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IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications

作者： Javier Lorca Carlos F. Lopez Radio Access Networks Innovation Joint Research Institute for Signal and Image Processing Heriot-Watt University

ISBN: (纸本)9781509032556

OFDM wireless cellular systems rely on link adaptation in order to match the Modulation and Coding Scheme (MCS) of the transmission blocks with the dynamic channel conditions experienced at the receive side. For simplicity, Long-Term Evolution (LTE) systems consider a single MCS format per codeword, which is optimized according to the average frequency response over the user's allocated bandwidth. When the channel coherence bandwidth is smaller than the user bandwidth, the constituent codeblocks experience significantly different channel responses, thus rendering link adaptation less effective. This paper proposes a frequency-dependent link adaptation mechanism whereby codeblocks are independently assigned different MCS values that can be fine-tuned to the frequency characteristics of the channel. Post-detection SINR values at the receive side are exploited (instead of CQI values), along with horizontal mapping of resources with two variants: direct mapping and diversity mapping. A suitable in-band signaling scheme for the codeblock sizes and modulations is also described. Link-level simulations show moderate increases in median throughput, but significant improvements in instantaneous throughput, for a broad range of SINR conditions. The proposed scheme can be particularly beneficial when very large signal bandwidths are used as foreseen in future 5G cellular systems.

关键词： Variable rate MCS Link adaptation Link-to-System Effective SINR

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AUTOMATIC SEGMENTATION OF FETAL BRAIN USING DIFFUSION-WEIGHTED IMAGING CUES

AUTOMATIC SEGMENTATION OF FETAL BRAIN USING DIFFUSION-WEIGHT...

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International Symposium on Biomedical Imaging

作者： Rosita Shishegar Anand A. Joshi Mary Tolcos David W. Walker Leigh A. Johnston Dept. Electrical & Electronic Engineering University of Melbourne Australia Signal and Image Processing Institute Department of Electrical Engineering Systems University of Southern California Los Angeles USA School of Health and Biomedical Sciences RMIT University Bundoora Australia Monash Institute of Medical Research The Ritchie Centre Monash University Australia

ISBN: (纸本)9781509011735

Segmentation of the developing cortical plate from MRI data of the post-mortem fetal brain is highly challenging due to partial volume effects, low contrast, and heterogeneous maturation caused by ongoing myelination processes. We present a new atlas-free method that segments the inner and outer boundaries of the cortical plate in fetal brains by exploiting diffusion-weighted imaging cues and using a cortical thickness constraint. The accuracy of the segmentation algorithm is demonstrated by application to fetal sheep brain MRI data, and is shown to produce results comparable to manual segmentation and more accurate than semi-automatic segmentation.

关键词： Segmentation atlas-free fetal brain diffusion-weighted imaging tractography

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