Miracle-dz/UniFAR-FTUs huggingface dataset:
SPMSM No Sensor Rotor Pole Position Tracking Strategy Based on High Frequency Pulse Voltage Injection

In this paper, the rotor position detection and vector control technology of SPMSM without position sensor have been studied. Because of low speed, the calculation accuracy of the base wave model of the motor is not high, So,in low speed, the rotor position is detected by using the method based on pulse frequency voltage injection.The problem of starting failure of zero speed is solved by using the saturation convex effect principle.The operation characteristics of two cases without considering saturation effect and saturation effect are analyzed,The necessary derivation and simplification of the corresponding high frequency current response are made.In judging the rotor initial position, along the first discrimination position of the rotor magnetic pole, two opposite pulse voltages are injected, analyzes its current response, judge the magnetic polarity, get accurate rotor initial position.Then, a vector control system of permanent magnet synchronous motor based on the injection method of pulsating high frequency voltage signal is presented, Analyze and verify from multiple aspects. The results show that the proposed rotor position identification method is effective.
Exact and Asymptotic Secrecy Outage Probability of MIMO System with Hybrid Diversity Combining Techniques

This paper presents the analytical secrecy performance of joint transmit and receive antenna selection (JTRAS), transmit antenna selection/maximum ratio combining (TAS/MRC) and transmit antenna selection/receiver antenna selection (TAS/RAS) approach over multiple-input multiple-output (MIMO) wiretap channels. The exact and asymptotic closed-form expressions for the secrecy outage probability (SOP) of JTRAS, TAS/MRC and TAS/RAS model under Nakagami-m fading channels has been evaluated.
The Teacher Accessibility, Equity, and Content (TEC) Rubric for Evaluating Computing Curricula

In response to the growing call to bring the powerful ideas of computer science to all learners, education decision makers, including teachers and administrators, are tasked with making consequential decisions on what curricula to use. Often, these decision makers have not been trained in computer science and are unfamiliar with the concepts taught and tools used. This is especially true in K–12 contexts where computer science expertise is less prevalent. To aid in the decision-making process around computing curricula, this article introduces the TEC Rubric. The TEC Rubric is composed of three main categories: Teacher Accessibility, Equity, and Content designed to support educational decision makers and designers when it comes to computing instruction. Along with presenting the full rubric and the process used in its creation, this article describes two examples of the rubric in action. First, the TEC Rubric is used to evaluate two widespread computer science curricula to demonstrate its evaluative capacity highlighting differences between the two curricula. Second, we show how the TEC Rubric can be used to help inform the design of new K–12 computing curricula. Overall, the TEC Rubric is designed to serve as a useful resource in the ongoing quest to bring effective, equitable, and engaging computing instruction into schools around the world.
Low-Dose CT Image Denoising and Pulmonary Nodule Identification

In this paper, we describe a novel image denoising and pulmonary nodule identification method for Low-Dose CT images. Due to the decrease of the X-ray dose, LDCT images suffered from high noise and low qualities. We employ a deep convolutional neural network to not only denoise but also extract noise-free features from the noisy LDCT images. Next, these features are used to reconstruct the spatial relationship between CT slices, and we use 3D CNN to extract the spatial features. These features finally fed into a fully connected network to get the nodule identification result. The experimental results on the LUNA16 dataset show that, compared with the current deep learning algorithms, the proposed network model achieves a better sensitivity of 0.809, 0.913 and 0.945 at 1/8, 1 and 8 false positives per scan, respectively, and a higher CPM score of 0.894.
FailAmp

We present FailAmp, a novel LLVM program transformation algorithm that makes programs employing structured index calculations more robust against soft errors. Without FailAmp, an offset error can go undetected; with FailAmp, all subsequent offsets are relativized, building on the faulty one. FailAmp can exploit ISAs such as ARM to further reduce overheads. We verify correctness properties of FailAMP using an SMT solver, and present a thorough evaluation using many high-performance computing benchmarks under a fault injection campaign. FailAmp provides full soft-error detection for address calculation while incurring an average overhead of around 5%.
The crowbar model of method and its implications

There is a rough, long-term tradeoff between rate of innovation and degree of strong realism in scientific practice, a point reflected in historically changing conceptions of method as they retreat from epistemological foundationism to a highly fallibilistic, modeling perspective. The successively more liberal, innovation-stimulating methods open up to investigation deep theoretical domains at the cost, in many cases, of moving away from strong realism as a likely outcome of research. The crowbar model of method highlights this tension, expressed as the crowbar compromise and the crowbar fallacy . The tools-to-theories heuristic, described and evaluated by Gigerenzer and colleagues, can be regarded as an attempt by some scientific realists to overcome this compromise. Instead, it is an instance of it. Nonetheless, in successful applications the crowbar model implies a modest, instrumental (nonrepresentational) realism.
Efficient Pairwise Penetrating-rank Similarity Retrieval

Many web applications demand a measure of similarity between two entities, such as collaborative filtering, web document ranking, linkage prediction, and anomaly detection. P-Rank (Penetrating-Rank) has been accepted as a promising graph-based similarity measure, as it provides a comprehensive way of encoding both incoming and outgoing links into assessment. However, the existing method to compute P-Rank is iterative in nature and rather cost-inhibitive. Moreover, the accuracy estimate and stability issues for P-Rank computation have not been addressed. In this article, we consider the optimization techniques for P-Rank search that encompasses its accuracy, stability, and computational efficiency. (1) The accuracy estimation is provided for P-Rank iterations, with the aim to find out the number of iterations, k, required to guarantee a desired accuracy. (2) A rigorous bound on the condition number of P-Rank is obtained for stability analysis. Based on this bound, it can be shown that P-Rank is stable and well-conditioned when the damping factors are chosen to be suitably small. (3) Two matrix-based algorithms, applicable to digraphs and undirected graphs, are, respectively, devised for efficient P-Rank computation, which improves the computational time from O(kn3) to O(υ n2+υ6) for digraphs, and to O(υn2) for undirected graphs, where n is the number of vertices in the graph, and υ (≪ n) is the target rank of the graph. Moreover, our proposed algorithms can significantly reduce the memory space of P-Rank computations from O(n2) to O(υn+υ4) for digraphs, and to O(υ n) for undirected graphs, respectively. Finally, extensive experiments on real-world and synthetic datasets demonstrate the usefulness and efficiency of the proposed techniques for P-Rank similarity assessment on various networks.
Combining URL and HTML Features for Entity Discovery in the Web

The web is a large repository of entity-pages. An entity-page is a page that publishes data representing an entity of a particular type, for example, a page that describes a driver on a website about a car racing championship. The attribute values published in the entity-pages can be used for many data-driven companies, such as insurers, retailers, and search engines. In this article, we define a novel method, called SSUP, which discovers the entity-pages on the websites. The novelty of our method is that it combines URL and HTML features in a way that allows the URL terms to have different weights depending on their capacity to distinguish entity-pages from other pages, and thus the efficacy of the entity-page discovery task is increased. SSUP determines the similarity thresholds on each website without human intervention. We carried out experiments on a dataset with different real-world websites and a wide range of entity types. SSUP achieved a 95% rate of precision and 85% recall rate. Our method was compared with two state-of-the-art methods and outperformed them with a precision gain between 51% and 66%.
DESIGNER POLYMERS: ADDITIVE MANUFACTURING OF SMART MATERIALS AS A COMPLEMENT TO INJECTION MOLDING

This paper presents the idea of “designer polymers” – these are polymers that can be custom formulated to include sensing, computation, and actuation infused throughout the bulk of the material. Designer polymers are useful in the design and fabrication of smart products and we believe they will revolutionize the co-design of complex products. The co-design of smart products involves the simultaneous design of, for example, hardware and the software that executes during the functioning of the device. In our quest to develop designer materials, we have explored a variety of fabrication methods, including insert-molding and 3-D printing, or additive manufacturing.
Genome-Wide Association Study (GWAS) for Mesocotyl Elongation in Rice (Oryza sativa L.) under Multiple Culture Conditions

Mesocotyl is a crucial organ for pushing buds out of soil, which plays a vital role in seedling emergence and establishment in dry direct-seeded rice. However, the genetic mechanisms of mesocotyl elongation remains unclear. In our study, 208 rice accessions were used to identify the SNPs significantly associated with mesocotyl length under various culture conditions, including sand, water and soil. The mesocotyl length ranges from 0 to 4.88 cm, 0 to 3.99 cm and 0 to 4.51 cm in sand, water and soil covering, respectively. A total of 2,338,336 SNPs were discovered by re-sequencing of 208 rice accessions. Genome-wide association study (GWAS) based on mixed linear model (MLM) was conducted and 16 unique loci were identified on chromosomes 1, 2 (2), 3, 4, 5 (2), 6 (2), 7, 8, 9 (2) and 12 (3), respectively, explaining phenotypic variations ranging from 6.3 to 15.9%. Among these loci, 12 were stable across two or more environments. Ten out of the sixteen loci coincided with known genes or quantitative trait locus (QTL), whereas the other six were potentially novel loci. Furthermore, five high-confidence candidate genes related to mesocotyl elongation were identified on chromosomes 1, 3, 5, 9 and 12. Moreover, qRT-PCR analysis showed that all the five genes showed significant expression difference between short-mesocotyl accessions and long-mesocotyl accessions. This study provides new insights into the genetic architecture of rice mesocotyl, the associated SNPs and germplasms with long mesocotyl could be useful in the breeding of mechanized dry direct-seeded rice.
ROBUSTNESS USING INPUT GRADIENTS

This paper addresses the robustness of deep neural networks (DNNs) in respect of the network input. When imposing an input perturbation by an adversarial attack, it is hard to tell which pixels in the input are weak to the adversarial perturbation. We conjecture that the pixels with large expected input gradient are common weak points regardless of the input images. Based on our observation, we propose a simple module referred to Pixel Robustness Manipulator (PRM). By adding a PRM module as the first layer of a base network, the pre-determined (or planned) pixels become general weak points against adversarial attacks. This is done by inducing the adversarial perturbations to the predictable and interpretable locations by PRM, we can easily manage the location, where adversarial perturbations will affect on. Additionally, to show the effectiveness of PRM, we propose a simple defense strategy under a weak attack scenario, where the adversary knows the full parameters while has no information about the defense strategy.
Mitigation Potential of Environmental Optimized Aircraft Trajectories How to perform environmental optimization of aircraft trajectories impact in Europe

Air traffic management as currently under development by the Single European Sky ATM Research program SESAR has an important role to play in reducing environmental impact of aviation by means of green trajectories, in addition to the improvements to be derived from new aircraft and engine technologies. A comprehensive modelling approach is presented which allows identifying aircraft trajectories having a lower environmental impact compared to the fuel optimal solution. Algorithmic environmental change functions are introduced which allow determining impact of aircraft emission at a given position and time from standard meteorological forecast parameters. A case study for three city-pairs is presented using reanalysis meteorological data. Mitigation potential of environmentally optimized trajectory options is analyzed, using a set of different climate impact metrics identifying robust routing options. This study presents results for a multi-criteria environmental assessment of aircraft trajectories relying on an advanced MET service as developed within the Exploratory Research Project ATM4E (SESAR2020). This framework allows studying and characterizing changes in traffic flows due to environmental optimization, as well as studying trade-offs between distinct strategic measures. Keywords-air traffic management, environment, climate impact, air quality, environmental impact mitigation, ATMF, environmental change functions, advanced MET services.
Quality and Fidelity in Wraparound

F rom a commonsense perspective, it is not surprising that Wrap-around has become one of the most popular strategies for implementing the system of care philosophy for children with serious emotional or be-havioral disorders. Wraparound, also known as Individualized Service/Sup-port Planning or ISP, is built around a vision that has straightforward appeal. A team is formed around a child and family who are struggling to stay safe, stay together, and maintain everyday life and functioning. Included on the team are people who have a stake in seeing the family succeed: family members, service providers, and members of the family's natural and community support networks. These people come together to create , implement, and monitor a plan that will help the family realize its vision for a better life. The plan that is produced, as well as the planning process itself, is culturally competent and community and strengths based. This vision of Wraparound/ISP is compelling. In fact, the recently released final report from the President's New Freedom Commission on Mental Health includes as one of its major recommendations that every child with a serious emotional disturbance should have a family driven , individualized plan of care. It turns out, however, that the " simple " vision of Wraparound is very difficult to achieve. High quality Wraparound requires team members to work together in ways that are often radically different from what they are accustomed to. And it is not just team members who must learn new ways of working. The agencies and larger systems within which the teams operate must also increase their collaboration and flexibility. What makes this particularly challenging is that there is little formal agreement about exactly what these new ways of working together look like, either at the team level or at the higher levels of implementation. There is no single set of guidelines or standards that can be used to definitively distinguish high quality Wraparound implementation from " wannabe " Wraparound. Without such standards or guidelines, Wraparound team members and programs have difficulty knowing what they are doing well, and what they need to improve in order to achieve the ideal as presented in the Wrap-around vision. Without the ability to distinguish between high quality implementation and not-so-good implementation, it also becomes very difficult to conduct research that provides evidence for the effectiveness of the Wraparound approach. At the same time, it is clear that there …
Liquids sensor / detector using an EBG structure

This paper describes a novel procedure to detect liquids with various permittivities using an electromagnetic band gap (EBG) structure. The concept can also be used as a method to achieve antenna frequency tunability. The main sensor consists of an array of square patches on a square unit cell with a series of cuts and grooves in the dielectric material between the patches. These trenches allow for the deposition of the liquids to be detected. The variation in the dielectric characteristics of the liquids inserted produces a change in the reflected phase of the EBG. This change in phase could be detected in various ways. In this paper, a planar antenna has been placed at a short distance from the EBG structure. The changes in the phase in the surface waves produce a change in the reflection coefficient of the antenna. Butan-1-ol, propan-2-ol, ethanol and methanol have been inserted to demonstrate the tuning technique. In order to complete the experiments the reflection coefficients and the radiation patterns were measured. Good agreement has been found between simulated and measured results. The envisaged detector could be used in a laboratory or clean room where liquids may fall into the channels.
Implementation of Reusable FM0/Manchester encoding using SOLS technique for DSRC Application

Dedicated short range communication (DSRC) is an important technique which allows transmission of high data in communication based safety applications. To enhance signal reliability and to reach dc balance, DSRC standards uses either FM0 or Manchester coding technique. There is limitation on the hardware potential of existing DSRC system, because the code word structure for both FM0 and Manchester are different. SOLS technique is used to conqure this problem which combines the hardware architecture of FM0 and Manchester and this combined architecture gives Hardware utilization rate (HUR) to 100%. We have implemented this design using 90nm CMOS technology in tanner tool. The power consumption of both FM0 and Manchester encoding is 15 μW and 1. 86μW respectively. Delay for both 99nS and 0.2nS respectively.
Low-Profile Wideband Linear Polarized Patch Antenna Using Metasurface: Design and Characterization

A low-profile wideband linear polarized patch antenna using meta-surface is suggested for the wideband procedure at 5-GHz Wi-Fi bands. The antenna consisted of a rectangular patch interceded between a grid of 3 3 periodic meta-surface and the ground plane. The accepted coaxial probe feed is uncomplicated to manufacture and match. Characteristic Mode Analysis (CMA) is used to evaluate and study the mechanism of action of the suggested antenna. We found that 2 main distinctive modes are effectively excited causing the broadband procedure and linearly polarized radiation. The suggested dielectric-filled antenna with a low profile of 0.057 λ0 (λ0 is the working wavelength at 5.7 GHz in free space) gains about 30% calculated -10 dB impedance bandwidth (4.89-6.62 GHz) with 7.28 dBi median achievement. Over the bandwidth, the antenna performance is >90%, and cross-polarization levels are <18 dB.
A discrete kinetic energy preserving convection operator for variable density flows on locally refined staggered meshes

In this paper, we build and analyze a scheme for the time-dependent variable density Navier-Stokes equations, able to cope with unstructured non-conforming meshes, with hanging nodes. The time advancement relies on a pressure correction algorithm and the space approximation is based on a low-order staggered non-conforming finite element, the so-called Rannacher-Turek element. The convection term in the momentum balance equation is discretized by a finite volume technique, and a careful construction of the fluxes, especially through non-conforming faces, ensures that the solution obeys a discrete kinetic energy balance. Its consistency is addressed by analyzing a model problem, namely the convection-diffusion equation, for which we theoretically establish a first order convergence in space for energy norms. This convergence order is also observed in the numerical experiments for the Navier-Stokes equations. Navier-Stokes equations, pressure correction scheme, finite volumes, finite elements, stability, kinetic energy, non-conforming local refinement.
Epistemological Analysis of Decision Making-An Application to Trust

Decision-making systems based upon multi-agent technology have epistemological implications that are seldom acknowledged. We provide a simple analysis arising from the method, inspired by theorem proving, we have designed along the years. We also specify the link with Web 3.0. The results of this analysis are applied to a new approach to trust making use of securitization. An important consequence of such an approach is to emphasize the interdisciplinary features of decision support systems.
Development of 600V Industrial DC Microgrid for Highly Automated Manufacturing Applications: Factory and Laboratory Infrastructure Experience

Approach of DC based power distribution as promising alternative to existing infrastructure has become interesting topic considering simplified management of power flow and integration of energy storage and renewable source solutions. This paper is presenting DC based power supply approach investigation within real automotive manufacturing environment. More detailed evaluation of opportunities regarding operation of industrial robot manipulators coupled to DC grid has been introduced. The physical layout within industrial environment has defined needs for multipoint power measurement equipment development and verification leading to practical results. Based on obtained practical results evaluation of energy efficiency potential by conversion towards DC based infrastructure can be evaluated and future operating scenarios defined considering new energy storage and buffering applications. Keywords-component; formatting; style; styling; insert (key
Protective effect of Chinese compound(Ermiao powders) in experimental hyperuricemia and hyperuricemic renal impairment

Objective: To observe the effect of Chinese Compound Ermiao powders(EMP) in decveasing serum uric acid(UA) and improving renal function,as well as the repairment of kidney.Methods: Animal model was made by Adenine and Ethambutol Hydrochloride.The animals were divided into Model group,Chinese medicine group,medicine group,and normal contrast group.The serum level of UA,BUN and CR were measured before the test and on the 7th,14th and 21th day.Observation of microscope on kidney was made after test.Results: Chinese medicine group(EMP) could lower the level of serum UA,its UA level was lower than that in the model group on the 14th and 21th day(P0.05). It could improve the renal function of experimental rat;the level of Cr and Bun was quite near to the normal group(P0.05). It could repair the pathological impairment of kidney,further more,under observation of microscope,no abnormality of kidney was found in EMP group.Conclusion: The EMP can prevent and cure experimental hyperuricemia and hyperuricemic renal impairment.