Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic Cross Feature Fusion for Remote Sensing Pansharpening

Deep Convolution Neural Networks have been adopted for pansharpening and achieved state-of-the-art performance. However, most of the existing works mainly focus on single-scale feature fusion, which leads to failure in fully considering relationships of information between high-level semantics and low-level features, despite the network is deep enough. In this paper, we propose a dynamic cross feature fusion network (DCFNet) for pansharpening. Specifically, DCFNet contains multiple parallel branches, including a high-resolution branch served as the backbone, and the low-resolution branches progressively supplemented into the backbone. Thus our DCFNet can represent the overall information well. In order to enhance the relationships of inter-branches, dynamic cross feature transfers are embedded into multiple branches to obtain high-resolution representations. Then contextualized features will be learned to improve the fusion of information. Experimental results indicate that DCFNet significantly outperforms the prior arts in both quantitative indicators and visual qualities.
A Characteristic Study of Deadlocks in Database-Backed Web Applications

Deadlocks in database-backed web applications could involve different numbers of HTTP requests, and they could be caused by locks explicitly requested in application code or implicitly requested by databases during query execution. To help developers understand these deadlocks and guide the design of tools for combating these deadlocks, we conduct a characteristic study with 49 deadlocks collected from real-world web applications developed following different programming paradigms. We provide categorization results based on HTTP request numbers and resource types, with a special focus on cat-egorizing deadlocks on database locks. We expect our results to be useful for application developers to understand web-application deadlocks and for tool researchers to design comprehensive support for combating web-application deadlocks.
ACR Appropriateness Criteria Diffuse Lung Disease Expert Panel on Thoracic Imaging :

Diffuse lung disease, frequently referred to as interstitial lung disease, encompasses numerous disorders affecting the lung parenchyma. The potential etiologies of diffuse lung disease are broad with several hundred established clinical syndromes and pathologies currently identified. Imaging plays a critical role in diagnosis and follow-up of many of these diseases, although multidisciplinary discussion is the current standard for diagnosis of several DLDs. This document aims to establish guidelines for evaluation of diffuse lung diseases for 1) initial imaging of suspected diffuse lung disease, 2) initial imaging of suspected acute exacerbation or acute deterioration in cases of confirmed diffuse lung disease, and 3) clinically indicated routine follow-up of confirmed diffuse lung disease without acute
Supplementary Materials of “BV-Person: A Large-scale Dataset for Bird-view Person Re-identiﬁcation”

This section provides more image examples from our proposed BV-Person dataset for bird-view person ReID. In Figure 1(A), the first two rows demonstrate the images of different identities with diverse appearances captured by a bird-view angle greater than 80 and between 60 and 80, respectively. Figure 1(B) shows an illustrative comparison of BV-Person and two horizontal-view person ReID benchmarks – Market1501 [5] and DukeMTMC [6] – that are widely used in general ReID tasks. BV-Person provides identity images with diverse dressing styles from summer shirts to winter coats in both of the bird’s-eye view and the horizontal view, while Market1501 and DukeMTMC contain images of identities with exclusively either summer or winter dressing captured from the horizontal view only.
Should the Federal Government Fund Short-Term Postsecondary Certificate Programs?

IZA DP No. 14109 FEBRUARY 2021 Should the Federal Government Fund Short-Term Postsecondary Certificate Programs? * We consider whether the US should extend Pell grant eligibility to short-term certificate programs (i.e., below the current floor of 600 hours). We provide new descriptive evidence on who enrolls in certificate programs, who completes them, how students finance them, who defaults on loans, and on their labor market value. We find that certificate holders earn about 10 percent more than high school graduates and 20 percent more than those with GEDs. The variance in their labor market value across fields is very high. But we find no evidence that certificates above and below the current cutoff generate differing labor market value. Thus, reducing the floor for program eligibility would improve the opportunity of low-income workers to receive effective job training. JEL Classification: J24
A Novel Intelligent Fault Diagnosis Method for Rolling Bearings Based on Compressed Sensing and Stacked Multi-Granularity Convolution Denoising Auto-Encoder

This paper investigates the unsupervised automatic feature extraction method with a large amount of unlabeled data for the fault diagnosis of rolling bearings in automobile production line, where the fault information is hard to identify due to the low-level features of a single category and the massive fault data is difficult to process. Different from the existing methods, which only combine the compressive sensing with single category of low-level features, or extract features from raw data, a novel intelligent fault diagnosis method for rolling bearings based on the compressive sensing and a stacked multi-granularity convolution denoise auto-encoder network is proposed, which utilizes the nonlinear projection to achieve the compressed acquisition and resolves issues with character unicity by extracting a diverse category of high-level features. Moreover, a regularization method called ‘dropout’ is used to prevent overfitting during the training process. The amount of measured data that contained all the information of faults is reduced and the classification accuracy is improved by extracting more robust features based on the proposed method. Finally, the effectiveness of the proposed method is validated using data sets from rolling bearings in an automotive production line and the analysis result show that it is superior to the existing methods and is able to obtain high diagnostic accuracies.
Voltage induced on a test distribution line by negative winter lightning strokes to a tall structure

Simultaneous measurements of lightning-induced voltages and lightning currents are presented and subject to analysis. The lightning current was measured at the top of a 200-m high stack by a current shunt. In the analysis, both the transmission-line model (TLM) and traveling current-source model (TCSM) of a return stroke are tested, taking account of reflection and refraction of the lightning current waves at the top and bottom of the stack. Analysis shows that the measured induced voltages on a test distribution line were influenced by finite ground conductivity. Agreement of measured induced-voltage waveforms with calculations demonstrates the validity of the adopted models of the stack and the lightning stroke. Both TLM and TCSM turn out to be useful in predicting induced voltage associated with a negative lightning stroke to a tall structure in winter.
Organizational differences in ISO 9000 implementation practices

Extends previously published work which discussed a survey of senior executives in 682 organizations and concluded that commitment to ISO 9000 implementation left considerable room for improvement. Reviews the peculiar ISO 9000 implementation difficulties of small organizations as reported in the literature elsewhere. Provides further analysis of the previous survey data, especially the attitudes and behaviours of senior executives, revealing differences in ISO 9000 implementation practice associated with organization size, sector and country of ownership, based loosely on the work of Argyris comparing espoused behaviours with behaviours in use. Small organizations are shown to have particular problems in terms of understanding the purpose of ISO 9000, methods of measuring its business impact, and knowledge of where the potential benefits might lie. While not using consultants any more often, small organizations do permit them to write more of their system documentation. Conversely, small organizations ha.
How to Build a Memristive Integrate-and-Fire Model for Spiking Neuronal Signal Generation

We present and experimentally validate two minimal compact memristive models for spiking neuronal signal generation using commercially available low-cost components. The first neuron model is called the Memristive Integrate-and-Fire (MIF) model, for neuronal signaling with two voltage levels: the spike-peak, and the rest-potential. The second model MIF2 is also presented, which promotes local adaptation by accounting for a third refractory voltage level during hyperpolarization. We show both compact models are minimal in terms of the number of circuit elements and integration area. Using the MIF and MIF2 models, we postulate the design of a memristive solid-state brain with an estimation of its surface area and power consumption. Analytical projections show that a memristive solid-state brain could be realized within (i) the surface area of the median human brain, 2,400cm2, (ii) the same volume of the median human brain, and (iii) a total power budget of approximately 20 W using a 3.5 nm technology. Distinct from the past decade of memristive neuron literature, our benchmarks are attained using generic commercially available memristors that are reproducible using off-the-shelf components. We expect this work can promote more experimental demonstrations of memristive circuits that do not rely on prohibitively expensive fabrication processes.
Single level integrated packaging modules for high performance electronic systems

In this paper, we introduce a novel packaging scenario that aims to integrate or eliminate the existing multilevel packaging hierarchies towards single level integration. The new approach is actually an extension of VLSI technology where standard IC processes were pursued in the whole fabrication sequence. Test samples were made successfully. The module and interconnect structures, integration process, and electrical performance were studied theoretically and experimentally. Properties of signal propagation and coupling from chip to chip were simulated and measured in frequency domain as well as in time domain. It shows that off-chip communication with several Gb/s data rate is possible in such modules.
Remote heat sink concept for high power heat rejection

This paper addresses heat rejection concepts intended to reject 100 W (or more) from the CPU of a desktop computer or server. A high-performance, air-cooled thermo-syphon heat rejection system is described that meets the goal. This concept is believed to represent the highest performance that has been reported for an air-cooled heat rejection system. A working fluid is boiled in a small chamber mounted on the CPU, and the vapor is condensed in the tubes of the remotely located air-cooled condenser. The air-cooled heat exchanger provides much higher performance than is obtainable with conventional "round-tube" technology. The boiling design is compared with other systems that have been proposed, e.g., liquid or two-phase cooling in micro-channels, and is shown to provide better performance. The heat exchange technology may also be applied to refrigerated cooling.
A Framework for Supporting Shared Interaction in Distributed Product Development Projects

Geographically distributed software development projects are becoming commonplace due to the wide-spread use of network technologies. Software development is an activity that is based on intensive cooperation among groups of developers. Therefore, network technologies used to support such projects have to provide proper support for this cooperation.It is shown in this thesis that the (software) product being developed by a group of developers plays an essential role as a resource for cooperation. The product is used for externalizing knowledge, for resolving misunderstandings, and for coordinating the daily activities of the developers. Continuous, flexible and customized access to the product is shown to be a necessary prerequisite for using the product as a resource for cooperation. It is also shown, through a case study of a geographically distributed project, that geographical distribution hampers continuous, flexible, and customized access to the product. This often leads to break-downs in coordination and cooperative learning in product development projects.A product-based shared interaction model is proposed as a suitable approach for supporting distributed product development projects in using the product as a resource for cooperation. The model emphasizes the uncertain nature of product development processes, and therefore does not impose any predefined patterns of cooperation. Instead, the model simulates some of the properties of the physical space. Awareness mechanisms are used to provide the developers with continuous information about the modifications to the shared product. A flexible interface to the product allows the developers to modify and annotate the product according to their emerging needs. Local customization mechanisms are used to allow the product to be used as a boundary object.The product-based shared interaction model is formalized in form of a generic framework. The framework consists of three service layers, each with a well-defined set of services. The lower layers of the framework are concerned with cooperation in large groups, and use a shared product space for supporting shared interaction involving the product. The higher layers of the framework emphasize close and dynamic cooperation among the developers in smaller groups, and use centers of interaction for supporting cooperation in shared workspaces. The framework is implemented in form of a generic shared interaction platform that can be used to construct a range of cooperation support environments for product development projects. One such environment is described in details and demonstrates how the framework can solve some of the problems of geographically distributed product development projects.
Online Border Patrol Guidance Algorithm for Unmanned Aerial Vehicles

nding an online path planning algorithm for unmanned aerial vehicles (UAVs) in charge of autonomous border patrol is studied. As a Pursuit-Evasion game, the UAV is required to capture multiple trespassers on its own before any of them are able to reach a certain destination where they will be safe from capture. The problem formulation is based on Isaacs’ Target Guarding problem, but extended to the case of multiple evaders. Rapidly-exploring random trees (RRT), a sampling-based path planning method, are proposed as the solution to the research problem. Online RRT algorithms capable of producing trajectories within seconds are developed for the pursuer to capture 2 and 3 evaders. Simulations using the algorithms are carried out for various scenarios, including dierent pursuer-evader speed ratios and pursuer capture radius. The algorithms are demonstrated to generate trajectories that converge to the optimal solution produced by a nonlinear programming-based numerical optimal control solver.
Second-Order Model and Capacity Drop at Merge

This study deals with the modeling of merge sections from a macroscopic point of view. It is well known that the first-order macroscopic model is not able to reproduce the capacity drop, that is, the fact that the maximal throughput just downstream of a merge is lower after the onset of congestion than just before. Second-order models, such as the one proposed recently by Bastin and Haut, claim to be able to reproduce this observed feature. The ability of this second-order model, chosen for its generality, to reproduce the capacity drop was studied by using numerical investigations. Definitions of the capacity drop are reviewed and some of the experimental observations are reported. The latest attempts to model the capacity drop are presented. Then the chosen model is presented briefly, and its numerical resolution is detailed. The study's main contribution can then be developed. From numerical experiments, it is shown that the studied approach allows the definition of a new framework for capacity drop modeling. Its limitations are also explored.
Design of a Wide-Dynamic RF-DC Rectifier Circuit Based on an Unequal Wilkinson Power Divider

In this paper, a dual-channel RF-DC microwave rectifier circuit is designed with a 2:1 power distribution ratio in a Wilkinson power splitter. The rectifier circuit works at 2.45 Ghz. After impedance matching and tuning, the structure is able to broaden the dynamic power range of the rectifier circuit while maintaining maximum rectifier efficiency. Compared with the HSMS2820 rectifier branch, this design enhances the power dynamic ranges of 60% efficiency and 50% efficiency by 4 dBm and 3 dBm, respectively. Compared with the HSMS2860 rectifier branch, for the efficiency of 60% and efficiency of 50%, the power dynamic range is expanded by 5 dBm and 2 dBm, respectively. This shows that the technology is helpful for improving the stability of energy conversion at the receiver end of microwave wireless energy transmission systems. Finally, the rationality of this conclusion is verified by establishing a mathematical model.
Scaled bilateral telemanipulation: an experimental investigation of scaling laws

In this paper, we examine the role of two force scaling laws in the performance, by human operators, of scaled teleoperated pick and place tasks. The experiments used a hybrid hardware-software telemanipulation system with force feedback. Human subjects were provided with visual and varying types of force feedback to perform the desired task. The force feedback depended on the scaling law used. Our results show that impedance scaling improved the performance with respect to constant (i.e., geometric only) scaling or no force feedback.
Anthesis and Silking Dynamics of Maize under Contrasting Nitrogen and Water Levels

Anthesis-silking and kernel setting may vary with the plant growth rate and environment. Two field experiments were conducted in December 2010 and January 2012 focusing on the short pre-anthesis and the prolonged bracketing-flowering stage drought (PBD), respectively, at the National Corn and Sorghum Research Center, Thailand. A split plot design with factorial randomized complete blocks was established with three replications, where two water regimes (well-watered and water-stressed) formed the main plots and two maize hybrids (Pioneer 30B80 and Suwan 4452) and three nitrogen levels (0, 160 (optimal) and 320 (supra-optimal) kg.ha -1 of N) collectively formed subplots. Under all conditions, relatively more biomass partitioning to the roots during the early vegetative stage might have lowered aerial growth and subsequently caused a slight delay in anthesis and silking in Pioneer 30B80. Albeit the plant and silk growth rates during the bracketing-flowering stage were higher in Pioneer 30B80 (even under combined stresses, which shortened the anthesis-silking period and interval (ASI) that caused more kernel setting than Suwan 4452), Pioneer 30B80 failed to complete 100% silking under PBD. Silking was more affected than anthesis by both stresses especially under PBD. Across the varieties, optimal nitrogen and water accelerated plant and silk growth, which also subsequently influenced timely flowering and shortened the ASI followed by more kernel setting.
An Evolutionary Grey, Hop, Skip, and Jump Approach: Generating Alternative Policies for the Expansion of Waste Management

Evolutionary simulation-optimization methods are combined with a Grey Hop, Skip, and Jump (GHSJ) approach in an application to municipal solid waste management planning. GHSJ techniques have been effectively applied to problems containing uncertain information. Simulation-optimization methods can be adapted to a wide variety of problem types in which some or all of the system components are stochastic. In this paper, the advantages from both of these techniques are combined and used for efficiently generating improved decision alternatives. An illustrative application of the method is provided to demonstrate the usefulness of this approach in the planning design phase for the expansion of a waste management system. By using this approach, multiple different planning alternatives can be created that meet established system criteria, while simultaneously remaining acceptable and implementable in practice. Solid waste decision makers faced with difficult and controversial choices would then interpret and analyze these alternatives to internalize the environmental-economic tradeoffs prior to selecting their final policy.
Direct slicing of CAD models for rapid prototyping

The 3D Systems stereolithography file format is a good workhorse for the rapid prototyping (RP) industry. It is supported by all major computer‐aided design (CAD) and RP manufacturers and there now exists a selection of third‐party software which supports this de facto standard and helps to make it work better. However, input to RP systems is sometimes best suited to the format of sliced contours. These may be produced from a three‐dimensional CAD model or via reverse engineering techniques such as laser scans and co‐ordinate measuring machines. Other sources include computed tomography and magnetic resonance imaging scans. Takes a brief look at both of the above methods, listing their advantages and disadvantages. Identifies several ways in which sliced data can be used to drive RP processes. Finally, presents in detail a methodology used to develop a direct and adaptive slicer from a commercial CAD system.
Effect of mechanical properties of Al2O3/(W,Ti)C ceramic tool material on its tribological characterization

Ceramic cutting tools are mainly used in high-speed dry machining, thus the tool material is in high temperature friction state with the workpiece material during cutting. The tribological characterizations have a direct impact on the cutting performance of the tool. Therefore, tribological characterizations of two kinds of ceramic tool materials with different mechanical properties against hardened steel H13 were compared at the same temperature, one material is Al2O3/(W,Ti)C/Ni with Ni (marked as AWTN), another is Al2O3/(W,Ti)C without Ni (marked as AWT). Also, the variation of tribological characterizations of AWT ceramic tool material with different temperatures was emphatically investigated. The results showed that the average friction coefficients of AWT and AWTN decreased with the increase of sliding speed under the same load, and the friction coefficient of AWT was lower than that of AWTN. Although AWTN material had better flexural strength and fracture toughness than AWT at ambient temperature, yet better hardness of AWT material both at room temperature and high temperature led to the lower friction coefficient and lower wear rate, indicating that the hardness had a greater impact on the wear of ceramic tool materials. The friction coefficient of AWT decreased with the increase of load and increased with the increase of temperature. The wear mechanism of Al2O3/(W,Ti)C ceramic tool material was different at different temperatures. The conclusion of this research had important guiding significance for the selection of cutting tools and cutting parameters in order to improve the machining quality.