Frame Time Research Articles

Toward inference of overlapping gravitational-wave signals

Merger rates of binary black holes, binary neutron stars, and neutron star-black hole binaries in the local Universe (i.e., redshift $z=0$), inferred from the Laser Interferometer Gravitational Wave Observatory (LIGO) and Virgo, are $16-130\, \mathrm{Gpc}^{-3}\,\mathrm{yr}^{-1}$, $13-1900\, \mathrm{Gpc}^{-3}\,\mathrm{yr}^{-1}$, and $7.4-320\,\mathrm{Gpc}^{-3}\,\mathrm{yr}^{-1}$, respectively. These rates suggest that there is a significant chance that two or more of these signals will overlap with each other during their lifetime in the sensitivity-band of future gravitational-wave detectors such as the Cosmic Explorer and Einstein Telescope. The detection pipelines provide the coalescence time of each signal with an accuracy $\mathcal{O}(10\,\rm ms)$. We show that using a prior on the coalescence time from a detection pipeline, it is possible to correctly infer the properties of these overlapping signals with the current data-analysis infrastructure. We study different configurations of two overlapping signals created by non-spinning binaries, varying their time and phase at coalescence, as well as their signal-to-noise ratios. We conclude that, for the scenarios considered in this work, parameter inference is robust provided that their coalescence times in the detector frame are more than $\sim 1-2 \,\mathrm{s}$. Signals whose coalescence epochs lie within $\sim 0.5\,\mathrm{s}$ of each other suffer from significant biases in parameter inference, and new strategies and algorithms would be required to overcome such biases.

Compact thermal imager: a flight demonstration of infrared technology for Earth observations.

During 2019, an infrared camera, the compact thermal imager (CTI), recorded 15 million images of the Earth from the International Space Station. CTI is based on strained-layer superlattice (SLS) detector technology. The camera covered the spectral range from 3 to 11 µm in two spectral channels, 3.3-5.4 and 7.8-10.7 µm. Individual image frames were 26×21km2 projected on the ground, with 82 m pixel resolution. A frame time of 2.54 s created continuous image swaths with a 13% along-track image overlap. Upper limits determined on the ground and in flight for the electronic offset, read noise, and dark current demonstrated the stability of the SLS detector and camera over many months. Temperature calibration was established using a combination of preflight and in-flight measurements. A narrowband approximation of temperature as a function of photon counts produced an analytic relationship covering a temperature range of 0°-400°C. Examples of CTI images illustrate temperature retrievals over sea ice, urban and agricultural areas, desert, and wildfires.

Modernity from Elsewhere: Psychoanalysis, Ethnography, and Speculative Horizons of Self-Assertion

Modernity from Elsewhere: Psychoanalysis, Ethnography, and Speculative Horizons of Self-Assertion

Is a staged reloading protocol effective to time the removal of circular frames? : a retrospective analysis.

AimsThe timing of when to remove a circular frame is crucial; early removal results in refracture or deformity, while late removal increases the patient morbidity and delay in return to work. This study was designed to assess the effectiveness of a staged reloading protocol. We report the incidence of mechanical failure following both single-stage and two stage reloading protocols and analyze the associated risk factors.MethodsWe identified consecutive patients from our departmental database. Both trauma and elective cases were included, of all ages, frame types, and pathologies who underwent circular frame treatment. Our protocol is either a single-stage or two-stage process implemented by defunctioning the frame, in order to progressively increase the weightbearing load through the bone, and promote full loading prior to frame removal. Before progression, through the process we monitor patients for any increase in pain and assess radiographs for deformity or refracture.ResultsThere were 244 frames (230 patients) included in the analyses, of which 90 were Ilizarov type frames and 154 were hexapods. There were 149 frames which underwent single-stage reloading and 95 frames which underwent a two-stage reloading protocol. Mechanical failure occurred after frame removal in 13 frames (5%), which suffered refracture. There were no cases of change in alignment. There was no difference between refracture patients who underwent single-stage or two-stage reloading protocols (p = 0.772). In all, 14 patients had failure prevented through identification with the reloading protocol.ConclusionOur reloading protocol is a simple and effective way to confirm the timing of frame removal and minimize the rate of mechanical failure. Similar failure rates occurred between patients undergoing single-stage and two-stage reloading protocols. If the surgeon is confident with clinical and radiological assessment, it may be possible to progress directly to stage two and decrease frame time and patient morbidity.Cite this article: Bone Jt Open 2022;3(5):359–366.

GMS-RANSAC: A Fast Algorithm for Removing Mismatches Based on ORB-SLAM2

This paper presents a new method of removing mismatches of redundant points based on oriented fast and rotated brief (ORB) in vision simultaneous localization and mapping (SLAM) systems. On the one hand, the grid-based motion statistics (GMS) algorithm reduces the processing time of key frames with more feature points and greatly increases the robustness of the original algorithm in a complex environment. On the other hand, aiming at the situation that the GMS algorithm is prone to false matching when there are few symmetry feature point pairs, the random sample consensus (RANSAC) algorithm is used to optimize and correct it. Experiments show that the method we propose has an average error correction rate of 28.81% for individual GMS while the time consumed at the same accuracy threshold is reduced by 72.18% on average. At the same time, we compared it to locality preserving matching (LPM) and progressive sample consensus (PROSAC), and it performed the best. Finally, we integrated GMS-RANSAC into the ORB-SLAM2 system for monocular initialization, which results in a significant improvement.

Implementation of a real-time star centroid extraction algorithm with high speed and superior denoising ability.

Star tracker is the most precise attitude measuring device, and its advantages include a high resolution and high update rate. Star centroid extraction, which is a very time-consuming process, has great influence on the attitude update rate. This paper proposes a real-time star centroid extraction algorithm based on a field programmable gate array. First, a 1D top-hat filter is used for star segmentation, which is suitable for both uniform and nonuniform background conditions. Second, multichannel image data is reorganized together into a complete frame through image stitching, which prevents the star spots on the channel boundary from being divided into different parts. Finally, star coordinates are extracted by the center-of-mass algorithm. For an image sensor with a resolution of 2048×2048 pixels, simulation results conducted by a ModelSim simulator show that the star centroid processing time of a single frame is roughly 5.2 ms. Real night experiments demonstrate that the standard deviation of a star centroid error is within 10-2 pixel and the standard deviation of attitude is (2.6 2.2 12.0) arcseconds, which proves that the proposed star centroid extraction algorithm can work continuously and stably.

Синхронизация приоритетов социально-экономического развития Российской Федерации и регионов в документах стратегического планирования

The approval of several crucial strategic planning documents at the federal level of public administration in recent years, in particular, the “Fundamentals of state policy in strategic planning in the Russian Federation”, made the problem of consistency and balance of strategic planning documents within the framework of goal-setting developed at various levels of the public administration. The purpose of the article is to suggest measures to ensure the interconnection of goals, objectives, and priorities reflected in strategic planning documents generated as part of goalsetting at the federal and regional levels of the public administration system, what is in demand in the practice of public administration of the Russian Federation. The theoretical basis of research is the methodology of strategic planning of territories. The critical method is the decomposition method, which allows to study the processes and phenomena that exist (or occurred in the past) and to develop the new ones, the creation of which is necessary to ensure conditions for sustainable social and economic development of territories at various levels. The specificity of the research approach lies in the fact that the decomposition procedure is carried out in the territorial aspect (spatial criterion), involves the use of various generalizations (logical measure), and is implemented within a given time frame (time criterion). It is proved that the promotion of national priorities to the regional level requires their “embedding” in the strategies of social and economic development of macro-regions and then in social and economic development of regions. It is proved that the “set” of the following documents: “National Security Strategy of the Russian Federation”, Decree of the President of the Russian Federation “On the national development goals of the Russian Federation for the period up to 2030”, strategy of social and economic development of federal districts and the process of social and economic development of federal entities will ensure synchronization of goals, objectives, and priorities of strategic planning documents at federal and regional levels. The analysis of the strategic goal-setting documents of national and regional levels of the state structure of the Russian Federation carried out using as the example of the regions of the Southern Federal District showed a low degree of their synchronization, consisting in the fact that the goals, objectives, and priorities of development written in the documents of the regional level do not fully reflect the goals, objectives, and preferences of product declared at the federal level.

Interiority of caring relations in the mangokal holi ritual

This paper explores how Batak, one of Indonesia’s many ethnic groups, perform interiority by caring for the dead. It examines the fixing of social relationships, as an act of spacing, by considering the Batak mangokal holi tradition in North Sumatra, foregrounding indigenous knowledge, experience, and ways of being. It offers a reading of mangokal holi by crossing architectural theories of interiority with ethnographic theories of ritual and caring. Ritual passages define the progress and transitions of life (such as birth, marriage, and death), delineating a sociocultural order. In mangokal holi, ritual care for the dead fixes roles, relationships, obligations, and settings; it frames space, time, and bodies by marking thresholds.

Deep-Learning-Based Microfluidic Droplet Classification for Multijet Monitoring.

Inkjet printing, the deposition of microfluidic droplets on a specified area, has gained increasing attention from both academia and industry for its versatility and scalability for mass production. Inkjet printing productivity depends on the number of nozzles used in a multijet process. However, droplet jetting conditions can vary for each nozzle due to multiple factors, such as the surface wetting condition of the nozzle, properties of the ink, and variances in the manufacturing of the nozzle head. For these reasons, droplet jetting conditions must be continuously monitored and evaluated by skillful engineers. The present study presents a deep-learning-based method to identify the droplet jetting status of a single-jet printing process. A convolutional neural network (CNN)-based on the MobileNetV2 model was employed with optimized hyperparameters to classify the inkjet frames containing images captured with a CCD camera. By accumulating the classified class data in order by frame time, the jetting conditions could be evaluated with high accuracy. The method was also successfully demonstrated with a multijet process, with a test time of less than a second per image.

Quantum speed limit time in a relativistic frame

The evolution of quantum states in a relativistic scenario is a meaningful and practically relevant problem in the framework of quantum physics simulation in a noninertial frame. Here, we investigate the roles of relativistic effect induced by two relatively accelerated bosonic observers on the speed of evolution of a quantum system coupled with amplitude damping channels. We find that the relativistic effect speed-up the quantum evolution of amplitude damped system to a uniform evolution for a damping strength pτ≲pτc0, where pτc0 is a critical damping parameter before which the relativistic effect increases the speed of evolution of the damped system. Moreover, we point out a non-monotonic behavior of the quantum speed limit time (QSLT) with acceleration in the damping limit pτc0≲pτ≲pτc1, where pτc1 is the critical damping parameter beyond which the relativistic effect slows down the speed of evolution of the system. In this range, the relativistic effect first speeds-up and then slows down the quantum evolution process of the damped system. For a damping strength pτc1≲pτ, we observe a monotonic increasing behavior of QSLT, leads to slow down the quantum evolution of the damped system. In addition, we examine the roles of the relativistic effect on the speed limit time for a system coupled with the phase damping channels.

The 60th Anniversary of TFTs and the Evolution of High‐Resolution Displays

The 60th Anniversary of TFTs and the Evolution of High‐Resolution Displays

Transmit Beamspace DDMA Based Automotive MIMO Radar

The time division multiple access (TDMA) technique has been applied in automotive multiple-input multiple-output (MIMO) radar. However, it suffers from the transmit energy loss, and as a result the parameter estimation performance degradation when the number of transmit elements increases. To tackle these problems, a transmit beamspace (TB) Doppler division multiple access (DDMA) approach is proposed. First, a phase modulation matrix with empty Doppler spectrum is introduced. By exploiting the empty Doppler spectrum, a test function based on sequential detection is developed to mitigate the Doppler ambiguity in DDMA waveform. Then, a discrete Fourier transform (DFT)-based TB in slow-time is formed. The proposed method can achieve waveform diversity in Doppler domain and generate a TB in slow-time that concentrates the transmitted power in a fixed spatial region to improve the transmit energy distribution for automotive MIMO radar, which is favored by medium/long range radar (MRR/LRR) applications. As compared to the conventional TDMA technique, the proposed TB DDMA approach can fully exploit the transmission capabilities of all transmit elements to ensure that the emitted power is efficiently used and inherits easy implementation.Moreover, the proposed TB DDMA method avoids the trade-off between the active time for each transmit antenna element and the frame time due to Doppler ambiguity mitigation. Simulation results verify the effectiveness of the proposed TB DDMA approach for automotive MIMO radar.

The Framing Effect and Time Pressure on The Investment Decision: A Test for Prospect Theory and Fuzzy-Trace Theory

The Framing Effect and Time Pressure on The Investment Decision: A Test for Prospect Theory and Fuzzy-Trace Theory

DNN-Powered SIC-Free Receiver Artificial Noise Aided Terahertz Secure Communications With Randomly Distributed Eavesdroppers

Despite the narrowbeam nature of Terahertz (THz) communications, the physical layer security in the THz band is challenging when eavesdroppers are inside the beam radiation sector. In this paper, a deep neural network (DNN)-based self-interference cancellation (SIC)-free receiver artificial noise (AN) assisted mechanism is proposed to address the in-beam security challenge, by considering randomly distributed eavesdroppers in THz secure communications. By exploiting the different temporal broadening effects of the AN signals at distinct distances, the SIC can be saved with a proper signal detection design rather than using conventional high-complexity cancellation techniques. To combat the non-linearity and non-convexity of the optimization problem, the system parameters including carrier frequency, power of transmission signal and AN signal power, and frame time are designed by an efficient deep neural network (DNN) algorithm to minimize the secrecy outage probability. Numerical results demonstrate that the maximum secrecy rate of our proposed DNN-powered SIC-free receiver AN scheme is up to 3.3 bps/Hz over 10 m transmission when the eavesdropper is in close proximity. Moreover, the secrecy outage probability is less than 0.5% when the eavesdropper density is 0.001 per square meter, which is approximately 33% lower than that of conventional transmitter AN schemes.

Identification and Depth Localization of Clustered Pod Pepper Based on Improved Faster R-CNN

Traditionally height of end effector of pod pepper harvester is fixed, which induces it hardly adapt to growth height of clustered peppers. Firstly, aiming at the problems of small size and clustered growth of pepper fruits during identification task, an improved Faster R-CNN algorithm is proposed. On the one hand, strategies such as increasing the types and number of high-resolution anchors and using RoI Align instead of RoI Pooling are employed to improve the detection accuracy for tiny targets. On the other hand, ResNet+FPN instead of VGG16 and ResNet backbone structure is adopted as the low-level feature extractor, so extracting capability for small features can be enhanced effectively. Furthermore, to precisely locate the position of clustered peppers, a height calculation model combining the 2D image recognition results with its depth information is advanced. Comparative experiments show that the overall accuracy <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AP</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AP</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">50</sub> of our method reach 75.79% and 87.30%, respectively. Compared with VGG16 feature extraction model, the two indicators are improved by 8.7% and 1.3%, respectively. The small target detection accuracy <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AP</i> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">small</sup> is increased about 11.4%, with recall rate <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AR</i> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">small</sup> increased up to 10.2%. The overall loss rate <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Loss</i> is reduced by 4.7%, which manifests greatly improvement compared to YOLOv3 model. The detection time of a single frame reaches 42 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ms</i> , which is slightly longer than that of YOLOv3 network, but it can still meet the real-time detection requirements of pepper harvester. In 3D location experiment, the average absolute height error of clustered peppers from the ground is 4.4 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">mm</i> , that accounts to the relative average error of 1.1%, thus suffices the adjustment error requirement of the end effector.

An intelligent recognition framework of access control system with anti-spoofing function

&lt;abstract&gt; &lt;p&gt;Under the background that Covid-19 is spreading across the world, the lifestyle of people has to confront a series of changes and challenges. This also presents new problems and requirements to automation facilities. For example, nowadays masks have almost become necessities for people in public places. However, most access control systems (ACS) cannot recognize people wearing masks and authenticate their identities to deal with increasingly serious epidemic pressure. Consequently, many public entries have turned to an attendant mode that brings low efficiency, infection potential, and high possibility of negligence. In this paper, a new security classification framework based on face recognition is proposed. This framework uses mask detection algorithm and face authentication algorithm with anti-spoofing function. In order to evaluate the performance of the framework, this paper employs the Chinese Academy of Science Institute of Automation-Face Anti-spoofing Datasets (CASIA-FASD) and Reply-Attack datasets as benchmarks. Performance evaluation indicates that the Half Total Error Rate (HTER) is 9.7%, the Equal Error Rate (EER) is 5.5%. The average process time of a single frame is 0.12 seconds. The results demonstrate that this framework has a high anti-spoofing capability and can be employed on the embedded system to complete the mask detection and face authentication task in real-time.&lt;/p&gt; &lt;/abstract&gt;

Kill One to Save Five? How Time Pressure, Religiosity, and Framing Effects Impact Utilitarian Judgments

The dual-process model states that utilitarian judgments occur through effortful, rather than automatic, processes. In 3 studies, we built on this model by evaluating how framing effects and religiosity impact utilitarian judgments. Study 1 (N = 120) incorporated a 2 x 2 design in which participants rated the moral permissibility of a utilitarian judgment vignette, which varied in subject frame and decision time. Religiosity scores were recorded. The results indicated that moral permissibility judgments did not differ if made automatically or deliberately, F(1, 116) = 0.33, p = .57, nor were they influenced by subject frame, F(1, 116) = 0.25, p = .62, or religiosity, F(1, 116) = 1.09, p = .30. Study 2 (N = 42) addressed low ecological validity ratings of the vignette in Study 1. By comparing 5 potential utilitarian vignettes, a grocery store vignette was found to be the most ecologically valid, p &lt; .001. Thus, Study 3 (N = 81) was a replication of Study 1 using the new vignette. To better test the dual-process model, half of the participants deliberated for 30 seconds before making a judgment about the moral permissibility of the utilitarian behavior, whereas the other half made the judgment automatically. Despite efforts to invoke effortful deliberation, the results mirrored those of Study 1, p &gt; .05. Taken together, these 3 studies indicated that utilitarian judgments can be endorsed without deliberation, which suggests that the dual-process model needs further scrutiny. Additionally, future research should prioritize ecological validity when relying on vignettes to study moral processes.

A Comparison Between Tone-Based and Code-Based Cell Search Schemes for Multipath Division Multiple Access

Cell search procedure is an essential and critical process in an early stage when the user equipment (UE) is powered on. It mainly comprises symbol and frame timing synchronization, frequency offset compensation, and base station (BS) identification. Among the current exiting 3G, 4G and 5G mobile networks, the UE completes the initial cell search based on different code sequences. In this paper, we investigate and compare two kinds of cell search methodology. Tone-based and code-based methods are explored for massive antenna systems. The detailed description and analysis are offered for two approaches. Simulation results indicate that the tone-based cell search not only possesses stable performance with respect to path numbers but also outperforms the code-based one in general channel realizations in terms of cell search error probability. The results suggest that the tone-based cell search could be used for 5G communication systems.

다기능레이다의 다중 탐색영역 탐색운용기법

In this study, separate search areas are set in the threat area to maximize the operational efficiency of the multi-function radar, and a search operation method for multi-search areas according to their importance, is proposed. In particular, to satisfy the frame time required to fulfill the maximum detection range for each search area, a search ratio calculation method using the search times of each area is proposed. In addition, to satisfy the search ratio, a search operation method is proposed that can meet the requirements for multi-search areas by switching the search area based on the threshold for the search time, for each area. In this study, two search areas with different search waveforms were set, and the achievement of the requirement was mathematically verified. In addition, the suitability of the proposed method was confirmed through performance analysis under various simulation conditions.

Volume Charge Density in Geometric Product Lorentz Transformation

Lorentz Transformation is the relationship between two different coordinate frames time and space when one inertial reference frame is relative to another inertial reference frame with traveling at relative speed. In this paper, we have derived the transformation formula for the volume charge density in Geometric Product Lorentz Transformation. The changes of volume charge density of moving frame in terms of that rest frame in Geometric Product Lorentz Transformation at various velocities and angles were studied as well.