We present Herschel-Spectral and Photometric Imaging Receiver (SPIRE) Fourier transform spectrometer (FTS) and radio follow-up observations of two Herschel-Astrophysical Terahertz Large Area Survey ...(H-ATLAS)-detected strongly lensed distant galaxies. In one of the targeted galaxies H-ATLAS J090311.6+003906 (SDP.81), we detect O iii 88 μm and C ii 158 μm lines at a signal-to-noise ratio of ∼5. We do not have any positive line identification in the other fainter target H-ATLAS J091305.0−005343 (SDP.130). Currently, SDP.81 is the faintest submillimetre galaxy with positive line detections with the FTS, with continuum flux just below 200 mJy in the 200-600 μm wavelength range. The derived redshift of SDP.81 from the two detections is z = 3.043 ± 0.012, in agreement with ground-based CO measurements. This is the first detection by Herschel of the O iii 88 μm line in a galaxy at redshift higher than 0.05. Comparing the observed lines and line ratios with a grid of photodissociation region (PDR) models with different physical conditions, we derive the PDR cloud density n ≈ 2000 cm−3 and the far-ultraviolet ionizing radiation field G
0≈ 200 (in units of the Habing field - the local Galactic interstellar radiation field of 1.6 × 10−6 W m−2). Using the CO-derived molecular mass and the PDR properties, we estimate the effective radius of the emitting region to be 500-700 pc. These characteristics are typical for star-forming, high-redshift galaxies. The radio observations indicate that SDP.81 deviates significantly from the local far-infrared/radio (FIR/radio) correlation, which hints that some fraction of the radio emission is coming from an active galactic nucleus (AGN). The constraints on the source size from millimetre-wave observations put a very conservative upper limit of the possible AGN contribution to less than 33 per cent. These indications, together with the high O iii/FIR ratio and the upper limit of O i 63 μm/C ii 158 μm, suggest that some fraction of the ionizing radiation is likely to originate from the AGN.
Artikkeli käsittelee suojelupoliisin poliittista kontrollia ja julkisuutta vuosina 1969–1982. Aikajakson alkupäätä on kuvailtu suojelupoliisin historiassa suojelupoliisin kriisiksi ja loppupäässä ...tapahtui suojelupoliisin toiminnassa tärkeä ennaltaehkäisevän turvallisuustyön omaksuminen. Yhtenä johtopäätöksenä on, että hyvin epäilyttävänä nähty suojelupoliisi joutui miettimään uudelleen suhtautumistaan julkisuuteen ja valtionhallintoon 1970- ja 80-luvuilla. Tänä aikana tapahtuneet muutokset olivat avainasemassa suojelupoliisin kehittämisessä ja tulevassa kehityksessä. Yhteiskuntasuhteita ei kuitenkaan hoidettu yleistä informaatiota ja tiedotusta lisäämällä, vaan päinvastoin tiedon ja tiedottamisen entistä tarkemmalla rajaamisella ja suuntaamisella sen kannalta ensiarvoisille valtionhallinnon toimijoille sekä ennen kaikkea henkilökohtaisten suhdeverkostojen avulla. Artikkelissa todetaan, että suojelupoliisin suhde erityisesti SDP:hen ja toisaalta myös presidenttiin olivat avainasemassa suojelupoliisia kohtaan tunnetun luottamuksen kasvussa, joka näkyi 1980-luvun mittaan tapahtuneissa uudistuksissa. Aihetta käsitellään suojelupoliisin, eduskunnan, SDP:n ja lehdistön kautta. The article deals with the political control and publicity of the Finnish Security Police (Suojelupoliisi, Supo) between 1969 and 1982. The early part of the period is described in Supo's history as a crisis, while the latter part of the period saw the introduction of preventive security work, which was important in Supo's activities. One conclusion is that the dubious view of the Supo forced it to rethink its approach to the public and the government in the 1970s and 1980s. The changes that took place during this period were key to its future development. However, public relations was not managed by increasing general information and communication but, on the contrary, by more precisely limiting and targeting information and communication to key actors in the state administration and, above all, through personal networks of contacts. The article concludes that the relationship between the Supo, the Social Democratic Party (SDP) and the President played a key role in the growth of confidence in the Supo, which was reflected in the reforms of the 1980s. The issue is discussed from the perspective of the Supo, Parliament, the SDP and the press.
In the present work, the flotation separation of magnesite from dolomite was enhanced using sodium dihydrogen phosphate (SDP) as an activator for dolomite and dodecylamine (DDA) as a collector. Based ...on the findings of micro-flotation examinations, SDP possessed selective-activation effects on the dolomite flotation; however, it had no such effect on the magnesite flotation. Zeta potential measurements revealed that SDP, with its negatively charged functional group, could selectively reduce the dolomite surface potential, which promoted the adsorption of DDA with cationic functional groups on the dolomite surface, while it only included a slight impact on the magnesite. Fourier transform infrared (FTIR) analysis revealed that SDP could be adsorbed selectively on the dolomite surface. Based on the X-ray photoelectron spectroscopy (XPS) analysis, SDP could selectively improve the adsorption of DDA onto the dolomite surface, and also proved that the SDP adsorption selectively onto dolomite could be related to the selective reaction with Ca. Density functional theory (DFT) calculations indicated that the spontaneous adsorption interaction intensity between magnesite and SDP was considerably weaker than that between SDP and dolomite.
Display omitted
•SDP could selectively improve the adsorption of DDA onto the dolomite surface.•SDP onto dolomite could be attributed to selective chelation on Ca.•The interaction intensity between SDP and magnesite was considerably weaker than that between SDP and dolomite.
Aiming at fault visualization and automatic feature extraction, this article presents a new and intelligent bearing fault diagnostic method by combining symmetrized dot pattern (SDP) representation ...with squeeze-and-excitation-enabled convolutional neural network (SE-CNN) model. Graphical representations of bearing states are shown intuitively by using the SDP method. Meanwhile, optimal parameters during SDP images' generation are selected to enhance the image resolution for distinctly distinguishing different bearing states and create the corresponding bearing fault sample sets. To automatically and effectively extract SDP image features, the channel attention mechanism using the SE network is integrated with the CNN network. The proposed SE-CNN-based diagnostic framework has the ability to assign certain weight to each feature extraction channel and further enforce the bearing diagnosis model focusing on the major features, meanwhile reducing the redundant information. The final diagnosis task is realized by the Softmax classifier located behind the SE-CNN model. Experimental results prove that the proposed method not only achieves the classification rate over 99% but also has better generalization ability and stability.
In this paper, the multistatic localization problem with unknown propagation speed is investigated using differential delays and Doppler shifts between the signals from direct and indirect paths. A ...series of pseudo-linear equations are formulated via the transformation of measurement models. A weighted least squares (WLS) formulation is then proposed after ignoring the second-order error terms, which can be rewritten as a non-convex optimization problem with the relationships among variables included as constraints. To deal with the non-convexity of the problem, semidefinite relaxation is applied, resulting in a convex semidefinite program (SDP). Several reasonable second-order cone constraints constructed via basic inequality and Cauchy-Schwarz inequality are added to tighten the relaxed SDP problem. By preserving the second-order error terms in equations, the bias of the estimate from the WLS formulation is also derived and then subtracted to nearly eliminate the bias and reach a bias-reduced solution. Simulation results show that the mean square error (MSE) of the proposed method approaches the Cramer-Rao lower bound (CRLB) and the bias is reduced significantly.
Semidefinite programs (SDPs) are a fundamental class of optimization problems with important recent applications in approximation algorithms, quantum complexity, robust learning, algorithmic ...rounding, and adversarial deep learning. This paper presents a faster interior point method to solve generic SDPs with variable size n \times n and m constraints in time \begin{equation*} \tilde{O}(\sqrt{n}(mn^{2}+m^{\omega}+n^{\omega})\log(1/\epsilon)), \end{equation*} where \omega is the exponent of matrix multiplication and \epsilon is the relative accuracy. In the predominant case of m\geq n , our runtime outperforms that of the previous fastest SDP solver, which is based on the cutting plane method JLSW20. Our algorithm's runtime can be naturally interpreted as follows: O(\sqrt{n}\log(1/\epsilon)) is the number of iterations needed for our interior point method, mn^{2} is the input size, and m^{\omega}+n^{\omega} is the time to invert the Hessian and slack matrix in each iteration. These constitute natural barriers to further improving the runtime of interior point methods for solving generic SDPs.
Convex optimization methods are widely used in the design and analysis of communication systems and signal processing algorithms. This tutorial surveys some of recent progress in this area. The ...tutorial contains two parts. The first part gives a survey of basic concepts and main techniques in convex optimization. Special emphasis is placed on a class of conic optimization problems, including second-order cone programming and semidefinite programming. The second half of the survey gives several examples of the application of conic programming to communication problems. We give an interpretation of Lagrangian duality in a multiuser multi-antenna communication problem; we illustrate the role of semidefinite relaxation in multiuser detection problems; we review methods to formulate robust optimization problems via second-order cone programming techniques
PDF
