Miracle-dz/UniFAR-FTUs huggingface dataset:
DTC based BLDC Motor Controlled Centrifugal Pump Fed by PI-BFO Tuning Strategy for Buck-Boost Converter in Solar PV Array Water Pumping System

In this paper, the performance of the directly coupled solar photovoltaic water pumping system has been investigated at different conditions of solar radiation, ambient temperature and speed. A BLDC motor is employed to drive a centrifugal pump coupled to its shaft due to merits of high efficiency and compact size of this drive. This system utilizes a Buck-Boost converter as an interface DC-DC converter between the solar photovoltaic array and the inverter of BLDC motor drive. The application of direct torque control strategy to BLDC drives has been investigated. In this control method for BLDC drive, direct control of stator flux and electromagnetic torque, and attainment rapid torque response and the high efficiency is possible by choosing the efficient modes of switching inverter to confine flux and torque error in a proper hysteresis band. MATLAB software is used to analysis, design and control of this system and represent the performance of transient and steady state response of SPV array powered Buck-Boost converter fed BLDC driven water pumping system. Simulated results are displayed, and it is shown that, compared with conventional hysteresis and PWM current control, the BFO-PI strategy results in reduced current and torque ripple, robust performance, faster dynamic response and lower steady state error under different mode operation.
Left-Handed Circularly polarized two-element antenna array for Vehicular Communication

The design of a square shaped with truncated corner printed patch antenna followed by a two-element linear array has been presented in this paper. The proposed circularly polarized antenna and arrays are resonating at 5.9 GHz frequency in the vehicular communication oriented Dedicated Short Range Communication Service band (DSRC IEEE 802.11p). Creation of three diagonal slots inside the patch and implementation of Wilkinson uniform power divider in array are the key contributions to obtain the circular polarization of the proposed antenna and antenna array. The obtain simulated gain of single element and the arrays are 7.16 dB and 10.34 dB respectively. According to Ludwig-3 scale, the proposed antenna array is left-handed circularly polarized (LHCP).
Ants Crabs Glasses Hands Humans Octopuses Pliers Snakes Spiders

This paper makes use of the continuous eccentricity transform to perform 3D shape matching. The eccentricity transform has already been proved useful in a discrete graph-theoretic setting and has been applied to 2D shape matching. We show how these ideas extend to higher dimensions. The eccentricity transform is used to compute descriptors for 3D shapes. These descriptors are defined as histograms of the eccentricity transform and are naturally invariant to euclidean motion and articulation. They show promising results for shape discrimination.
Direct Application of Convolutional Neural Network Features to Image Quality Assessment

We take advantage of the popularity of deep con-volutional neural networks (CNNs) and have developed a very simple image quality assessment method that rivals state of the art. We show that convolutional layer outputs (deep features) of a CNN compute the local structural information of spatial regions of different sizes in the input image. The learned convolutional kernels contain a much richer set of weights thus capturing much more local structural information than hand crafted ones. As the deep features learned from large datasets already contain very rich multi-resolutional structural image information, they can be directly used to calculate visual distortion of an image and it is not necessary to introduce further complicated computational process. We will present experimental results to demonstrate that this is indeed the case, and that simple cosine distance of the deep features is as good as state the art methods for full reference image quality assessment.
A Probabilistic Process Neural Network and Its Application in ECG Classification

A novel probabilistic process neural network (PPNN) model is proposed for the multi-channel time-varying signal classification problems with ambiguity and randomness distribution characteristics. This model was constructed from an input time-varying signal layer, a probabilistic process neuron (PPN) hidden layer, a pattern layer, and a Softmax classifier. The number of nodes in the input layer is the same as the number of time-varying signal input channels, which can realize the overall input of the time-varying signal. The PPN hidden layer performs the spatio-temporal aggregation operations for time-varying input signals and probabilistic outputs. The connection weight functions from the input layer to the hidden layer are represented by the typical samples or cluster center functions in different pattern subsets of the sample set, which the prior knowledge of signal categories is implicitly expressed by the morphological distribution features and combinational relations. A pattern layer selectively summed to the output of the PPN hidden layer using the categorical attributes of the connection weight function vector. And the Softmax classifier implements the probabilistic classification of time-varying signals. PPNN has the advantages of fewer model parameters, suitable for modeling small samples and integrating prior knowledge of signal categories. This paper develops the specific learning algorithms which synthesize dynamic time warping, C-means clustering, and BP algorithm. The 12-lead electrocardiogram (ECG) signals for heart disease diagnosis were used for classification testing. The experimental results from 12-lead ECG signal across ten types of disease classification verify the effectiveness of the model and the proposed algorithm.
Why Pay Taxes When No One Else Does?

In this paper we try to understand the phenomena whereby a large proportion of the population evades tax payments. We present a model which incorporates elements from the theory of information cascades with the standard model of tax evasion and analyze the connection between the decision of a potential tax evader, the number of tax evaders and the number caught in previous periods. General conditions exist under which any expected utility maximizing tax evaders will decide to emulate other tax evaders.
Integrated Control Strategies for Current Ripple Reduction and Enhancing Performance in Non-Inverting Interleaved DC-DC Converter

This paper proposes a new designing of integrated developed-controller strategy (IDCS) based on non-inverting interleaved DC-DC converter. Conventionally, the typical DC-DC converter is not seen as suitable dynamic solution for high power density of converter. Because, by increasing the power of converter the value of element is must be increased, proportionally increased value of hardware element of converter. Also, since large value of parameters will have more the losses element and current ripple especially. In order to maintain the dynamic performance considering effect of inductor current ripple, parasitic elements and high power density of converter the non-inverting interleaved DC-DC (INDC) converter with IDCS is proposed. As a result, the IDCS is synchronized the parallel modes operations which provided balancing currents among the stages. Moreover, the proposed controller can provided fast dynamic response; reduce the total current ripple and accurately regulation output voltage from variation DC source. Finally, to evaluate of the proposed method, the NIDC converter of 30kW test bench is provided and the controllers method based on DSP TMS320F28335 is implemented.
How Learner Support Services Affect Student Engagement in Online Learning Environments

Learning is challenging, especially in the self-paced online learning environment. Not all the students start online learning with the skills to manage their learning plans, balance work-study, and find learning resources. Therefore, as an online educational institution, providing learner support services are essential to improving learning outcomes and student satisfaction. The existing studies have analyzed the impact of learner support services on student satisfaction, learning outcomes, and course retention. However, the relationship between these services and student engagement in the long-term learning process has not been fully examined. To address this issue, this paper investigates students’ usage of two online learner support (OLS) services and their impact on student engagement. We examined four student groups categorized by their usage of two OLS services and analyzed student engagement with an online course using learning log data and visual analytics techniques. The findings indicate that the use of services and how many times the services are used are highly relevant to the pattern and level of student engagement, which suggests that the use of OLS services can be added to the indicators that reflect student learning status.
Backup-Protection Scheme for Multi-Terminal HVDC System Based on Wavelet-Packet-Energy Entropy

DC fault protection is a major issue in multiterminal high-voltage DC current transmission systems. Most studies have focused on primary protection, which considers a different theory. However, the poor sensitivity of primary protection under high-resistance fault and maloperation still affect the protection feasibility to a certain extent. Thus, backup protection is definitely required to enhance the stability of an entire system considering the limit in primary protection. This paper proposes a backup-protection strategy based on wavelet-packet-energy entropy as mitigation for primary protection. The pole-to-ground (PG) fault with high resistance is highlighted because detecting the fault transient of PG fault with high resistance is difficult in the most primary relay. Fault detection and classification are achieved using the proposed backup-protection method based on theoretical study and simulation verification. The proposed method also presents the expected robustness of fault resistance, fault distance, and different operating conditions.
Comprehensive Evaluation of the Expressed CD8+ T Cell Epitope Space Using High-Throughput Epitope Mapping

T cell immunity is traditionally assessed through functional recall assays, which detect the consequences of the T cells' antigen encounter, or via fluorescently labeled multimers that selectively bind peptide-specific T cell receptors. Using either approach, if the wrong antigen or peptide of a complex antigenic system, such as a virus, is used for immune monitoring, either false negative data will be obtained, or the magnitude of the antigen-specific T cell compartment will go largely underestimated. In this work, we show how selection of the “right” antigen or antigenic peptides is critical for successful T cell immune monitoring against human cytomegalovirus (HCMV). Specifically, we demonstrate that individual HCMV antigens, along with previously reported epitopes, frequently failed to detect CD8+ T cell immunity in test subjects. Through systematic assessment of T cell reactivity against individual nonamer peptides derived from the HCMVpp65 protein, our data clearly establish that (i) systematic testing against all potential epitopes encoded by the genome of the antigen of interest is required to reliably detect CD8+ T cell immunity, and (ii) genome-wide, large scale systematic testing of peptides has become feasible through high-throughput ELISPOT-based “brute force” epitope mapping.
Phase-Shifted Half-Bridge Resonant Inverter For Driving Magnetron

This paper presents a phase-shifted half-bridge resonant inverter 1.6 kW (4 kV, 400 mA) for driving a magnetron for the sulfur plasm tube. In the presented High voltage power supply (HVPS), with control of the switching scheduling and the phase-shifting of the on-state, the switching losses decreased. Also, using the series-resonance circuit has provided the condition of soft switching (ZVS). The power supply, depending on the required power, can control the peak and average power in minimum-loss condition. The HVPS samples the magnetic current of the transformer and then phase-shifts the switching and balances the magnetic current of the transformer as well. The maximum power of a microwave is 1600 W and its average power is 200-400 W, which is controlled according to on-state times of the inverter. Other advantages of the proposed design are the simplicity of the power circuit, reduction in the switching losses, and the leakage inductance of the power transformer. The design results have been simulated and verified through the MATLAB software.
Argumentation Mining in Parliamentary Discourse

In parliamentary discourse, politicians expound their beliefs and goals through argumentation, and, to persuade the audience, they communicate their values by highlighting some aspect of an issue, an action which is commonly known as framing. The choices of frames are typically dependent upon the speaker’s ideology. In this proposed doctoral work, we will computationally analyze framing strategies and present a model for discovering the latent structure of framing of real-world issues in Canadian parliamentary discourse.
Novel Hybrid DC/DC Converter Topology for HVDC Interconnections

In recent years, significant progress has been made in HVdc transmission, particularly the voltage-source-converter technology using modular multilevel converters. There is increasing demand to develop high-power dc/dc converters to interconnect HVdc systems with different voltage levels. In this paper, a novel hybrid dc/dc converter topology is proposed by the combination of a new three-switch submodule (SM) circuit and series-connected thyristors and diodes. This topology presents less amount of semiconductors, very attractive capital costs, small footprint, and low power losses. Operating principles of this new three-switch SM and the dc/dc converter are explained, while the modulation and control schemes are also developed. The validity of the proposed topology is verified by simulation results based on a 150 MW, 200 kV/300 kV dc/dc converter. Efficiency estimates indicate that this topology could have power losses as low as 0.3% rated power. A scaled-down prototype has also been built and tested to confirm its effectiveness.
Intermittent erector spinae plane block as a part of multimodal analgesia after open nephrectomy

First, the dermatome of sensory blockade using pinprick To the Editor: Erector spinae plane block (ESPB) has been reported to provide effective analgesia for various [1] was T2–T10 in the patient; it showed that multimodal indications, including thoracic and breast surgery. To the best of our knowledge, there is no case in which the ESPB provide postoperative analgesia in open nephrectomy except for one pediatric patient.We report a case in which intermittent ESPB provides effective pain control as a part of multimodal analgesia after open nephrectomy.
Secure Proof of Retrievability System in Cloud for Data Integrity

Due to expansion of Internet and huge dataset, many organizations started to use cloud. Cloud Computing moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. Due to this cloud faces many threats. In this work, we study the problem of ensuring the integrity of data storage in Cloud Computing. To reduce the computational cost at user side during the integrity verification of their data, the notion of public verifiability has been proposed. Our approach is to create a new entity names Cloud Service Controller (CSC) which will help us to reduce the trust on the Third Party Auditor (TPA). We have strengthened the security model by using AES Encryption with SHA-S12 & tag generation. In this paper we get a brief introduction about the file upload phase, integrity of the file & Proof of Retrievability of the file.
Bit-Rate Conditions for the Consensus of Quantized Multiagent Systems With Network-Induced Delays Based on Event Triggering

This paper is mainly concerned with bit-rate conditions to guarantee the consensus of unstable scalar multiagent systems by event-triggering strategies. In such systems, state information is quantized and transmitted among agents through digital communication networks which suffer from network-induced delays. In order to save communication resources, we implement a periodic event-triggering scheme, under which agents quantize and transmit their own states when a predefined event is triggered. By introducing a well-designed internal saturation function, the proposed strategy can place a priori bounds on the control inputs of agents and guarantee the asymptotic consensus of agents at a finite bit rate, even under network-induced delays. By extracting extra information from the receive time instants of data packets, our strategy can require less information carried by data packets and a lower bit rate to maintain the desired asymptotic consensus than some state-of-the-art time-triggered consensus strategies. Under our strategy, the obtained bit-rate conditions depend on the network-induced delays, the unstable eigenvalue of agent dynamics, and the network topology. The simulation results are provided to illustrate the effectiveness of these bit-rate conditions.
Operationalizing a consortial e-resources assessment and reporting plan

Abstract The authors detail the operationalization of a library consortium’s electronic resources assessment and reporting plan, including the implementation of procedures to collect and archive usage data, and the development of a sustainable annual reporting process. Despite finding that implementing a practical e-resources assessment plan for a consortium is possible even with limited available human resources, significant challenges related to data collection continue to limit the ability of library consortia to undertake more holistic assessments of the overall value of their procured e-resources.
Some Remarks on Relations between Proofs and Games

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Some Remarks on Relations between Proofs and Games Didier Galmiche, Dominique Larchey-Wendling, Joseph Vidal-Rosset
Design of Millimeter Wave LC Oscillators for 5G Applications

This paper deals with the design of various LC oscillators around 25 GHz which can be used for millimeter wave CMOS radios. Cross coupling is a standard technique used in oscillators and the losses in an LC tank is replenished by the negative resistance of the cross coupled circuit. This paper utilizes cross coupling technique to design oscillators centred around 25 GHz. Four topologies of oscillators are designed in 90nm CMOS technology with a peak to peak output swing of 800mV from a 1.2V supply. The design uses a non ideal inductor modeled with parasitic elements. The simulated phase noise results with the non ideal inductor is around – 97 dBc / Hz at an offset of 1 MHz and the total power consumption is around 60 µW.
Reactive synchronization algorithms for multiprocessors

Efficient synchronization algorithms are hard to design because their performance depends on run-time factors that are hard to predict. In particular, the designer has a choice of protocols to implement the synchronization operation, and a choice of waiting mechanisms to wait for synchronization delays. Frequently, the right choice depends on run-time factors such as contention and waiting time. As a solution, this thesis investigates reactive synchronization algorithms that dynamically select protocols and waiting mechanisms in response to run-time factors so as to achieve better performance. Through analysis and experimentation, we show that reactive algorithms can achieve close to optimal performance, while incurring minimal run-time overhead. The first part of this thesis investigates reactive algorithms that dynamically select protocols. We describe a framework for efficiently coordinating concurrent protocol executions with protocol changes, and introduce the notion of consensus objects that help preserve correctness. Experiments with reactive algorithms for spin-locks and fetch-and-op demonstrate that the reactive algorithms perform close to the best static choice of protocols at any fixed level of contention. With mixed levels of contention, the reactive algorithms can actually outperform a static choice of protocols. Measurements of parallel applications show that a bad choice of protocols can result in three times worse performance over the optimal choice. The reactive algorithms are typically within 5% of the best static choice of protocols, and outperform a static choice by 18% in one of the applications. The second part of this thesis investigates two-phase waiting algorithms for dynamically selecting waiting mechanisms. A two-phase waiting algorithm first polls until the cost of polling reaches a limit Lpo1 before blocking. We prove that under exponentially distributed waiting times, a static choice of Lvo11 results in waiting costs that are at most 1.59 times the cost of an optimal off-line algorithm. Under uniformly distributed waiting times, waiting costs are no more than 1.62 times the cost of an optimal off-line algorithm. These performance bounds are close to the theoretical limit for on-line waiting algorithms. Experimental measurements of several parallel applications demonstrate the robustness of two-phase waiting algorithms, and corroborate the theoretical results. Thesis Supervisor: Anant Agarwal Title: Associate Professor of Electrical Engineering and Computer Science
What factors influence healthcare professionals to refer children and families to paediatric psychology?

Objectives: This study aimed to investigate factors influencing referral of children with physical illness to paediatric psychology. Due to high rates of mental health problems within this population, studies have shown that referral to paediatric psychology should be increased. However, few studies have examined factors shaping healthcare professionals’ referral behaviour. Methods: This study used the theory of planned behaviour to develop a questionnaire which explores factors influencing the referral of children and families to paediatric psychology. Psychometric properties of the questionnaire were examined. Results: The questionnaire was found to have good reliability and validity. The main constructs of the theory of planned behaviour were useful in predicting intention to refer to paediatric psychology. Specific beliefs about referral were shown to influence intention to refer. Conclusion: Findings suggest that individual attitudes and beliefs can impact healthcare professionals’ referral behaviour, indicating that multidisciplinary interventions and inter-professional education relating to the psychological aspects of illness are required.