Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of Variable Structure of a Dual-Mode Switched Reluctance Motor by Using Asymmetric Half-Bridge Topology

This paper investigate a 12/10-pole Switched Reluctance Motor (SRM) which can be used as a six-phase or three-phase machine by altering the winding connection. The parameter relationship including resistance, inductance, phase current and torque between two operation modes is deduced and analyzed. A connection method between the machine and power converter based on three-phase asymmetrical half bridge (AHB) structure and the corresponding control strategy are proposed to carry out dual-mode operation. The inductance and torque characteristics of six-phase and three-phase operation are comparatively analyzed, and then the steady-state performances and mode-changing simulation are also performed. Finally, an experimental setup is developed and the independent steady-state operation and mode-changing experiment are implemented. Both the simulations and experiments validate the proposed mode-changing scheme.
Simulated Intensity Rendering of 3D LiDAR using Generative Adversarial Network

In autonomous vehicle, LiDAR is one of the most importent sensor for measurement range. In particular, LiDAR is widely used in mobile mapping systems (MMS) for building high-definition (HD) map. Not only range but also intensity are useful data for extracting road marking and surface data from sensor. However, LiDAR intensity is affected by surface reflecting characteristic as well as range, incidence angle, atmospheric transmittance and others. Therefore, LiDAR intensity model is difficult to reproduce in simulation environments. In this paper, we proposed realistic intensity rendering method with simulator by generative adversarial network (GAN) trained with unannotated real data. We develop LiDAR projection preprocessing method for operating convolution networks. Our approach have advantage to preserve sensor characteristic and to reduce projection scale loss. We modified CycleGAN architecture to render intensity with unpaired real and synthetic data. Our rendered results show possibility of image-based approach for LiDAR and potential for generating LiDAR dataset by using simulator. Especially, we expect to utilize for military vehicle that has difficulty to reproduce the environments.
Evaluation of a novel ultrasound imaging methods for high frame rate echocardiography

In this paper, we evaluate two new methods of ultrasound imaging that could be used in cardiac imaging. These methods are Parallel Divergent Waves in the same direction and Parallel Divergent Waves in different directions. We compare these methods with Consecutive Divergent Waves in different directions using a compounding option. The goal of our work is to increase the frame rate of the ultrasound system. Simulation results prove that image quality for parallel emissions could be at the same level as consecutive emissions but without estimating interference, crosstalk and cross-correlation between signals.
High-Power Switch Using LC Resonator and Asymmetric MOS Transistor for 5G Applications

A Si-based series-shunt transmit/receive (TX/RX) switch with a high-power 1-dB compression point (<inline-formula> <tex-math notation="LaTeX">$P_{\text {1 dB}}$ </tex-math></inline-formula>) of 29.2 dBm is demonstrated at 28 GHz for 5G communication. The proposed switch also exhibits low insertion losses of 2.86 dB/3.46 dB and reasonable isolations of 21.7 dB/19.1 dB for TX/RX modes, respectively. These excellent results were achieved by applying an <italic>LC</italic> resonator and stacked high-voltage asymmetric MOS transistors in a standard 0.18-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS process.
Design & Evaluation of Layout-Agnostic Tactile Guides for In-Vehicle Touchscreens

Touchscreens are commonly used to provide access to a wide range of vehicle functions. However, interacting with touchscreens can require more attention than physical controls due to their lack of tactile sensation, potentially causing driver distraction. Prior research has indicated that stencils overlays mounted on a touchscreen can ease these problems. However, the previous stencils studies used holes that were cut to the size and location of underlying interface controls, meaning that they could only be used with a single interface layout, which is unrealistic for typical in-vehicle use. In this paper, we examine the use of layout agnostic stencils that can be used with different user interface layouts, with the aim of reducing visual attention on the touchscreen while driving. We conducted an experiment in which two layout agnostic stencil designs were evaluated in comparison to a normal touchscreen during simulated driving. Contrary to our intention, the new stencil designs increased attentional demands and impaired driving performance compared to the normal touchscreen. To understand the causes of this failure, we developed a framework for understanding low-level human activities while interacting with in-vehicle controls. The framework suggests the need for improved understanding of the acuity of the human proprioceptive target approach and of the human ability to discriminate between tactile objects.
POEM: A Personalized Online Education Scheme Based on Reinforcement Learning

As online e-learning systems become more prevalent, there is a growing need for them to accommodate individual differences among students. According to the concept of zone of proximal development (ZPD), it is imperative to provide online students with educational contents that are neither too easy nor too difficult, but are slightly beyond their current abilities. However, following ZPD rule is challenging in online e-learning system, due to the following reasons: the system does not know a priori the ability of the online students, especially for the newly arrived student; the exact relationship between student feedback on teaching and their abilities (i.e., reward/gain function) is extremely complicated, and even unknown to each student. Aiming at solving the issue above, this paper proposes a personalized educational scheme to students, POEM, in order to maximize their accumulative learning gains over multiple rounds. Specifically, instead of assuming any specific formal reward function, we first estimate any unknown reward function from noisy samples using Gaussian process (GP) model. Then, the multi-arm bandit based algorithm is used to select the teaching content with the adaptive difficulty level to balance the effect of exploration and exploitation. The simulation results demonstrate the effectiveness of our proposed method.
Low Power SOT-MRAM Cell Configuration For Dual Write Operation

Due to the leakage power of CMOS-based memory, Nonvolatile magnetic memory is considered a strong candidate to replace the CMOS-based memory. Spin transfer torque magnetic random access memory (STT-MRAM) is one of the most promising candidates, but it still has many shortcomings related to the write operation. Compared to STT-MRAM, spin orbit torque magnetic random access memory (SOT-MRAM) is the next generation of nonvolatile magnetic memory because of its relatively good performance and low power. Although SOT-MRAM has various advantages over STT-MRAM, a significant reduction in write power is required to meet the power level of CMOS-based memory. In this paper, we present a low power SOT-MRAM cell configuration using the dual write operation. By writing on two cells simultaneously, write energy can be reduced depending on data patterns. Compared to the conventional 2T-1MTJ SOT-MRAM, the proposed SOT-MRAM cell with the dual write scheme reduces the write energy by 26.3% on average.
A Novel Wind Energy Conversion System with DFIG DC-Side Connected to SST for Medium-Voltage DC Grid Integration

This paper investigates a novel DFIG Low-Voltage DC connected to SST type wind energy conversion system for direct medium-voltage AC grid integration. The novel DFIG-based wind turbine can support active power to DC bus through both SSC and RSC, and the active power through these two converters can be adjusted by changing the rotor speed. The DC side of the generator is combined with the medium-voltage grid through solid state transformer (SST) instead of the fundamental frequency transformer. In this paper, an improved independent phase current control is adopted. The unified mathematical model of high voltage stage and isolation stage is reduced from (n+1) to 1 order by using CLLC resonant converter structure, which greatly reduces the number of signals acquisition and simplifies the control structure. What’s more, the proposed configuration can not only realize reactive power compensation without a reactive power compensator, but also can maintain stable operation even when the voltage of the grid is unbalanced. A detailed simulation study in PSCAD is conducted to verify the performance of the proposed structure.
A Decentralised Registry for Firearm Tracking using Blockchain Technology

The problem of illegal firearm trade and the resulting consequences have been the subject of much debate with respect to their causes and the solutions that need to be implemented in order to curb their devastating effects. The lack of a robust infrastructure for tracking firearms in the USA has been one of the major reasons contributing to lack of accountability concerning firearm ownership in the nation. The paper proposes the design of a decentralised system based on blockchain technology that would not only aid in tracking firearm ownership but also provide an infrastructure for managing firearm licenses and trading firearms while maintaining user privacy. The artifact was designed in 5 phases with incremental developments performed at the end of each phase. The software artifact was then subjected to analysis followed by expert evaluation where each feature was assessed to gauge its feasibility with respect to real world operational and regulatory constraints. The system was found to successfully provide a decentralised platform for recording gun ownership data as well as trading firearms. The system also illustrates that the entire firearm tracing process can be decentralised through the voting system designed. The system however was still found to require more operational planning with respect to situations involving human interactions and regulations in order that the user privacy is not compromised.
DC Bus Signaling-Based Coordination Through Masked Sensing for DC Microgrid

DC bus signaling (DBS) is a decentralized coordination strategy for power management of DC microgrid. However, the main problem with DBS is that it needs enough offset of the DC bus voltage to set the thresholds to signal mode transitions of the local units, which will lead to a large deviation of the bus voltage. This paper proposes a DBS-based coordination strategy through masked sensing (mDBS) to improve the DC bus voltage. With the proposed mDBS, the bus voltage is sensed, and the coordination of the local units is enabled by the masked offset of the sensed voltage. In this case, while the masked offset observed from the DBS controller is high enough, the offset, in reality, is controlled within a small range, and thus the bus voltage can be improved. Simulation results in MATLAB/Simulink environment verify the proposed control strategy.
A Stripline Width-Array Method for Determining a Causal Model for the Complex Permittivity

The frequency-dependent complex permittivity is determined for a printed circuit board laminate. For this purpose, measurements performed to an array of striplines are systematically processed. The methodology presents the advantage of employing lines embedded within the same laminate without requiring multiple prototypes. From the extracted data, a Debye model is implemented to yield a wideband representation of both, the relative permittivity and the loss tangent. Moreover, the line’s characteristic impedance is reconstructed and causal time-domain simulation results are achieved.
A Statistical Inference Attack on Privacy-Preserving Biometric Identification Scheme

Biometric identification allows people to be identified by their unique physical characteristics. Among such schemes, fingerprinting is well-known for biometric identification. Many studies related to fingerprint-based biometric identification have been proposed; however, they are based purely on heavy cryptographic primitives such as additively homomorphic encryption and oblivious transfer. Therefore, it is difficult to apply them to large databases because of the expense. To resolve this problem, some schemes have been proposed that are based on simple matrix operations rather than heavy cryptographic primitives. Recently, Liu et al. proposed an improved matrix-based scheme using the properties of orthogonal matrices. Despite being more efficient when compared to previous systems, it still fails to provide sufficient security against various types of attackers. In this paper, we demonstrate that their scheme is vulnerable to an attacker who operates with a cloud server by introducing statistical-inference attack algorithms. Moreover, we propose concrete identity confirmation parameters that an adversary must always pass, and present experimental results to demonstrate that our algorithms are both feasible and practical.
Literatuurstudie naar de biologie, impact en mogelijke bestrijding van twee invasieve soorten: de rode Amerikaanse rivierkreeft (Procambarus clarkii) en de geknobbelde Amerikaanse rivierkreeft (Orconectes virilis)

Dit literatuuronderzoek is een onderdeel van een breed opgezet onderzoek in het veenweidegebied naar de invloed van rivierkreeften op het ecosysteem. Specifiek wordt ingegaan op de verschillende eigenschappen van twee soorten die voor mogelijke problemen zorgen in het beheergebied van de waterschappen in het westelijk veenweidegebied, te weten de rode- (Procambarus clarkii) en de geknobbelde Amerikaanse rivierkreeft (Orconectes virilis). Het is van belang om de gevonden resultaten steeds weer in hun oorspronkelijke context te bezien. Zo is het overgrote deel van de hier gepresenteerde studies naar P. clarkii uitgevoerd in Zuid-Europa (Portugal, Spanje, Italie) en de daar geobserveerde mechanismen en kenmerken kunnen zeker van toepassing zijn op populaties in Nederland. Echter, ze kunnen ook zeker afwijken omdat hier nu eenmaal andere klimatologische of hydrologische omstandigheden heersen. De resultaten uit Zuidelijke streken geven derhalve mogelijkheden weer die van toepassing kunnen zijn op noordelijke populaties, geen absolute zekerheden.
A Reliability Comparison of the Measurement of Wealth, Income, and Force

The purpose of this study is to examine some of the relative merits in applying different accounting techniques to the measurement of wealth, and to the measurement of differences in wealth, such as income. The activities of a commodity trading firm are measured using historical cost FIFO, historical cost LIFO, and current cost accounting. Ijiri and Jaedicke's [1966] reliability measure is used as the basis for comparison of the three techniques, which differ systematically because of their different treatments of the stochastic commodity price. Two basic results emerge. First, any advantage of current cost over historical cost because of the recency of the data used in the current cost measurement may be outweighed because current cost does not take full advantage of past data to average out random errors. Second, the reliability of current cost relative to historical cost can deteriorate as the measurement moves from wealth to income (the difference in wealth) and to force (the difference in income). I. RELIABILITY OF ACCOUNTING
A Hybrid Image Security Method Using Arnold Transform and RSA Algorithm

: Today, people all over the world want to exchange information, but they are concern about security aspects while sharing the information or an image. In this paper, present a hybrid technique of image encryption using the Arnold Transformation and RSA Algorithm. In this proposed method first, scramble the digital image using Arnold's transformation after that encrypted that digital image using an asymmetric RSA algorithm. The proposed method is safer and the result of the resulting encrypted image is improve and safer as shown in this Paper.
Molecular tagging of fiber yield genes using RI lines developed in Uzbekistan

Fourteen fiber specific ESTSSR markers out of 85 showed polymorphic PCR-products between parental lines. These polymorphic EST-SSRs were subjected to genotype RI individuals to identify fiber QTLs. Single marker analysis revealed that four markers  EST-17, EST-47, EST-32, and EST56 were statistically significant, and Kruskal-Wallis (KW) test for the markers were 4.8, 6.8, 13.1, and 13.5, respectively. Statistically significant two QTL regions coincided with the two EST-SSR markers that expressed the highest single marker analysis (SMA) linkage associations, EST-32 and EST-56. EST-32 marker was significantly linked to QTL and had a LOD of 4.28 explaining 48.1% of variation of lint percentage. The second marker EST-56 also was highly significant and showed a LOD of 4.34. Lint percentage QTL near the locus EST-56 explained 48.6% of variation of the trait. EST sequences linked to fiber QTLs will help in candidate gene identification and map based cloning of genes linked to these fiber QTLs. Outcomes of this research will accelerate incorporation and rapid deployment of improved agronomic fiber genes into elite cultivars through marker assisted
POSITIONAL ACCURACY CONTROL USING ROBUST ESTIMATORS

Positional accuracy control methodologies, for example the EMAS, the ASPRS and the NSSDA standards, are based on classic statistical estimation techniques, all of them using a previous step of extreme values filtering. A study based on robust estimators is presented in order to modify the statistical bases of positional control estimation techniques, in such a way that extreme, atypical or outliers, values could be incorporated to the analysis. Diverse estimators are analyzed (the Danish, the Geman and McClure methods, and so on). First results have being obtained on synthetic contaminated populations and they suggest the use of the Danish method.
Opportunities Offered by Plant Bioactive Compounds to Improve Silage Quality, Animal Health and Product Quality for Sustainable Ruminant Production: A Review

Plant bioactive compounds (PBC) are widespread in the plant kingdom, including in forage species, but their impact on silage fermentation and ruminant use of PBC-containing silage has been under-researched. The beneficial effects of PBC include plant-protein protection against excessive degradation by tannins or polyphenol oxidase leading to reduced soluble nitrogen (N) and better N use efficiency by animals, reduced emissions of pollutants such as enteric methane (CH4), improved animal health through antimicrobial, anthelmintic or antioxidant activities, and positive effects on animal product quality—especially greater increased polyunsaturated fatty acid (PUFA) content. However, there are still gaps in the research that require an interdisciplinary effort to ensure a balanced approach that co-addresses the economic, environmental and health pillars of sustainability. Here we review the potential offered by PBC to improve silage quality, nutrient use efficiency, performances and health of ruminants, and product quality. In addition, we use an example of cross-fertilization between disciplines to show that incorporating PBC-containing legume species in grass silage can provide multiple and additive effects from silage fermentation to product quality.
Knowledge Aggregators∗

Given a group of agents with heterogeneous information, there are many potential forms for combining agents’ information. This paper introduces some language for investigating different methods of aggregating information within groups, where the knowledge of each agent or group of agents takes the general operator form. The operator form allows for the modeling of agents who are less than perfectly rational in their information processing. Various specific aggregation formulations are considered in detail, including what ‘somebody knows’, what ‘everybody knows’, common knowledge, and distributed knowledge. Distributed knowledge is what can be determined by cooperating agents, given their information, under direct communication. Regularity and preservation properties of aggregators are investigated and applied to the specific aggregators listed.
Photometric Stereo with Twin-Fisheye Cameras

In this paper, we introduce and solve for the first time, the photometric stereo problem for low-cost 360-degree cameras. In particular, we present a spherical image irradiance equation which is adapted to twin-fisheye cameras, and an original algorithm for the estimation of light directions based on the specular highlights observed on mirror balls. Extensive experiments with synthetic and real-world images captured by a Ricoh Theta V camera, demonstrate the effectiveness and robustness of the proposed 3D reconstruction pipeline. To foster reproducible research, the image dataset and code developed for this paper are made publicly available at the address: home.mis. u-picardie.fr/~fabio/Photoophere.html
32 History of Phonology: Learnability

This chapter examines the brief but vibrant history of learnability in phonology. We trace the question of learnability back to the foundational crises in mathematics and computer science, through the synthesis of these ﬁelds with linguistics, and onward to the foundational problems of language, and phonological, learning. We observe this history is mostly one-sided, with many ideas from learning imported to phonology, but rarely the converse. We ﬁnish by discussing several overarching tensions pervading this ﬁeld, signaling rapid change and many ﬂowering prospects
Homeownership and entrepreneurship _ working paperx

Housing costs can damage labour market outcomes and increase unemployment. Also, an important and related research stream claims that higher homeownership rates are associated with fewer new businesses. Using a search-matching model, this paper investigates the relation between homeownership and entrepreneurship by distinguishing two channels through which homeownership affects the creation of enterprises and jobs. The first channel looks at the job search intensity of homeowners, while the second considers the link between the benefit of being a homeowner and the productivity of a new enterprise. The key result of this paper is that the intrinsic preference for homeownership plays a key role in the establishment of new small businesses, while in general homeownership does not encourage the development of existing enterprises.
Predicting Milk Shelf‐life Based on Artificial Neural Networks and Headspace Gas Chromatographic Data

The usefulness of artificial neural networks (ANN) for milk shelf-life prediction by multivariate interpretation of gas chromatographic profiles and flavor-related shelf-life was evaluated and compared to principal components regression (PCR). The training set consisted of dynamic headspace gas chromatographic data collected during storage of pasteurized milk (input information for the neural network used to make a decision) and its corresponding shelf-life (prediction or response). ANN had better predictability than PCR. A standard error of the estimate of 2 days in shelf-life resulting from regression analysis of experimental vs predicted values indicated a high predictability of ANN.