Miracle-dz/UniFAR-FTUs huggingface dataset:
Group-wise automatic music transcription

Background: Music transcription is the conversion of musical audio into notation such that a musician can recreate the piece. Automatic music transcription (AMT) is the automation of this process. Current AMT algorithms produce a less musically meaningful transcription than human transcribers. However, AMT performs better at predicting notes present in a short time frame. Group-wise Automatic Music Transcription, (GWAMT) is when several renditions of a piece are used to give a single transcription. Aims: The main aim was to perform investigations into GWAMT. Secondary aims included: Comparing methods for GWAMT on the frame level; Considering the impact of GWAMT on the broader field of AMT. Method(s)/Procedures: GWAMT transcription is split into three stages: transcription, alignment and combination. Transcription is performed by splitting the piece into frames, and using a classifier to identify the notes present. Convolutional Neural Networks (CNNs) are used with a novel training methodology and architecture. Different renditions of the same piece have corresponding notes occurring at different times. In order to match corresponding frames, methods for the alignment of multiple renditions are used. Several methods were compared, pairwise alignment, progressive alignment and a new method, iterative alignment. The effect of when the aligned features are combined (early/late), and how (majority vote, linear opinion pool, logarithmic opinion pool, max, median), is investigated. Results: The developed method for frame-level transcription achieves state-of-the-art transcription accuracy on the MAPS database with an F1-score of 76.67%. Experiments on GWAMT show that the F1-score can be improved by between 0.005 to 0.01 using the majority vote and logarithmic pool combination methods. Conclusions/Implications: These experiments show that group-wise frame-level transcription can improve the transcription when there are different tempos, noise levels, dynamic ranges and reverbs between the clips. They also demonstrate a future application of GWAMT to individual pieces with repeated segments.
Hierarchical Intermittent Motor Control With Deterministic Policy Gradient

It has been evidenced that the neural motor control exploits the hierarchical and intermittent representation. In this paper, we propose a hierarchical deep reinforcement learning (DRL) method to learn the continuous control policy across multiple levels, by unifying the neuroscience principle of the minimum transition hypothesis. The control policies in the two levels of the hierarchy operate at different time scales. The high-level controller produces the intermittent actions to set a sequence of goals for the low-level controller, which in turn conducts the basic skills with the modulation of goals. The goal planning and the basic motor skills are trained jointly with the proposed algorithm: hierarchical intermittent deep deterministic policy gradient (HI-DDPG). The performance of the method is validated in two continuous control problems. The results show that the method successfully learns to temporally decompose compound tasks into sequences of basic motions with sparse transitions and outperforms the previous DRL methods that lack a hierarchical continuous representation.
Research on Control Strategies for Performance Optimization of Wireless Powering System for Smart Home Appliances

With the development of smart technology and the improvement of living standard, the demand for a life with smart home appliance is increasing. The advancement of wireless power transfer technology has provided an opportunity to charge home appliance wirelessly. The combination of smart home appliance and wireless power transfer will make life more intelligent. The one-to-many wireless power supply system of smart home appliance and its control strategy optimization is studied. Firstly, the equivalent circuit model of one-to-many wireless power supply system of smart home appliance is set up and the influence of load on the output power and transfer efficiency is analyzed. Afterwards, the control strategy of power is studied, including power stability and emergency power supply. Finally, the experiment platform of one-to-many wireless power supply system is constructed, and the power transfer capacity and load property is tested, verifying the theoretic analysis. Keywords—smart home appliance; wireless power transfer; multiple load; performance Introduction
The Design of an Intelligent Augmented Reality Welder Training System

—The objective of this research is to design an AR (Augment Reality) GMA (Gas Metal Arc) welding training system, which can overcome weakness of the pre-existing augmented/virtual reality based welding training systems. The newly designed system satisfies requirements for presence, hand-eye coordination, versatility of welding postures, diversity of shapes of weldments, and welding diagnostics. In order to design an ideal welding training system, following 3 approaches are applied; AR, neural network, and scriptable contents.
Toward a Numerical Laboratory for Investigations of Gravity Wave–Mean Flow Interactions in the Atmosphere

: Idealized integral studies of the dynamics of atmospheric inertia–gravity waves (IGWs) fromtheir sourcesin the troposphere (e.g., by spontaneous emission from jets and fronts) to dissipation and mean ﬂow effects at higher altitudes could contribute to a better treatment of these processes in IGW parameterizations in numerical weather prediction and climatesimulation. Itseemsimportantthatnumericalcodesappliedforthispurposeareefﬁcientand focusontheessentials. Therefore, a previously published staggered-grid solver for f -plane soundproof pseudoincompressibledynamics is extended here by two main components. These are 1) a semi-implicit time stepping scheme for the integration of buoyancy and Coriolis effects, and 2) the incorporation of Newtonian heating consistent with pseudoincompressible dynamics. This heating function is used to enforce a temperature proﬁle that is baroclinically unstable in the troposphere and it allows the backgroundstatetovaryintime.Numericalexperimentsforseveralbenchmarksarecomparedagainstabuoyancy/Coriolis-explicitthird-orderRunge–Kuttascheme,verifyingtheaccuracyandefﬁciencyofthescheme. Preliminarymesoscale simulations with baroclinic wave activity in the troposphere show intensive small-scale wave activity at high altitudes, and they also indicate there the expected reversal of the zonal-mean zonal winds.
A Two-Degree-of-Freedom Internal Model-Based Active Disturbance Rejection Controller for a Wind Energy Conversion System

Active disturbance rejection control (ADRC) is a widely employed control strategy due to its ability to deal with the disturbance and parametric uncertainties. Extended state observer (ESO) serves as the core block in an ADRC. ESO estimates the lumped disturbance in the wind energy conversion system (WECS) which is then canceled by designing a suitable control law. However, for a complex system such as WECS, the exact estimation of disturbance by using ESO is difficult. To overcome this difficulty, an ADRC is designed in this paper by adopting a two-degree-of-freedom (TDF) internal model controller framework for a permanent magnet synchronous generator (PMSG)-based WECS. The setpoint and disturbance rejection filters of TDFIMC are considered as two tuning parameters instead of using the controller and observer bandwidths as tuning parameters in ADRC. The efficiency of the proposed controller to regulate the active and reactive power in the presence of parametric uncertainties and disturbance is examined by pursuing first simulation studies followed by experimentation on a 1-kW PMSG-based WECS developed in our laboratory. Both simulation and experimental results clearly show that, by employing the proposed control scheme, the steady-state and transient responses of active and reactive power transfer to the grid are enhanced. Furthermore, on comparing its performances with that of a multiloop active disturbance rejection controller (MADRC), it is also confirmed that the former exhibits superior performance.
An effective task allocation for customized products

To deal with the problem of task allocation for a large comprehensively customized product, which cannot be assessed very well owing to lack of work unit skills, experience, knowledge, and dependence relationships, we propose a task allocation method based on similar experience and knowledge, and present a task completion time assessment method based on a genetic algorithm. By calculating the similarity between the knowledge required by particular tasks, the new task allocation method will take the task constraints into consideration. The results of simulation experiments on a custom developed wind turbine project show that the proposed method is correct and valid.
Cuttlefish: Color Mapping for Dynamic Multi‐Scale Visualizations

Visualizations of hierarchical data can often be explored interactively. For example, in geographic visualization, there are continents, which can be subdivided into countries, states, counties and cities. Similarly, in models of viruses or bacteria at the highest level are the compartments, and below that are macromolecules, secondary structures (such as α‐helices), amino‐acids, and on the finest level atoms. Distinguishing between items can be assisted through the use of color at all levels. However, currently, there are no hierarchical and adaptive color mapping techniques for very large multi‐scale visualizations that can be explored interactively. We present a novel, multi‐scale, color‐mapping technique for adaptively adjusting the color scheme to the current view and scale. Color is treated as a resource and is smoothly redistributed. The distribution adjusts to the scale of the currently observed detail and maximizes the color range utilization given current viewing requirements. Thus, we ensure that the user is able to distinguish items on any level, even if the color is not constant for a particular feature. The coloring technique is demonstrated for a political map and a mesoscale structural model of HIV. The technique has been tested by users with expertise in structural biology and was overall well received.
Walking assistance system

The present invention relates to a walking aid system, the present invention is the control panel, including a support configured to eoneul the arm of a user; And a plurality of wheels, a drive comprising a plurality of drive frames of said plurality of wheels configured to be interconnected; Connected to and the supports and the drive unit frame, a plurality of supports connected to the frame and, W bottom comprising a plurality of drivers connected to a frame that is configured to couple the drive frame and the support connected to the frame that is configured to couple the support with the drive unit frame is, including consisting chair so that the user can sit, and the support connected to the frame, can be adjustable in length, and configured to adjust the height of the support, to the driving unit connected to the frame is possible to adjust the length, the It provides a walking aid system configured to adjust the angle of the driving frame is connected to a driving unit connected to the frame. Thus, uihamyeo the walking aid system of the present invention, a safe and a secondary efficiently a user's sitting and AD, and may have not only serve as conventional walkers (Walker), the effect that the user can sit moves with minimum effort, even when .
Reconciling production and biodiversity in management of pastures and grasslands

: Grasslands are crucial for the conservation of biodiversity across the world. Current agricultural 4 practices have increasingly replaced grasslands by crops or managed them more intensively, resulting in a 5 dramatic reduction of biodiversity. Is it possible to reconcile profitable grassland production with conservation of 6 biodiversity? This chapter reviews research on the relationship between biodiversity and the quantity and 7 quality of biomass produced by grasslands. The chapter shows it is possible to manage grasslands to reconcile 8 production and biodiversity of grasslands. 9
Attention-based ResNet for Chinese Text Sentiment Classification

Identifying sentiment polarity of a document is a building block of sentiment classification and natural language processing tasks, it aims to automate the prediction of sentiment orientation in a document. In general, recently fast-growing Deep Neural Networks(DNN) method has been extensively used as a sentiment learning approach. But the dominant approach for sentiment classification tasks are recurrent neural networks, in particular LSTM, and convolutional neural networks. However, these architectures are rather shallow in comparison to the Residual Neural Networks(ResNet) which have pushed in computer vision. We present a model using ResNet for high-level document representation, and attention mechanism to capture the crucial components for document. The experimental results show that using up to 2 ResNet block and attention mechanism achieve state-of-the-art performance on three public sentiment classification datasets. Keywords—sentiment classification; attention mechanism; ResNet
Fuzzy Logic Control of Clutch for Hybrid Vehicle

This paper provides a design of an automatic clutch controller for hybrid electrical vehicle (HEV) using fuzzy logic. The use of fuzzy logic can reduce the difficulty of mathematical modeling of complex systems since fuzzy logic can deal with uncertain and imprecise data and problems which may have several solutions rather than one. Fuzzy logic algorithms for the automatic clutch controller are developed to achieve a smooth and fast engaging transition. Comprehensive simulations for the whole hybrid electrical vehicle are conducted in Matlab 2009a. An experimental test for a real damping clutch is also carried out. Results show that the active regulation of the clutch slipping ration can considerably reduce the vehicle vibration in resonance frequencies. The new system can handle the clutch engagement with low jerk and high comfort.
A theory of RPC calculi for client–server model

Abstract With multi-tier programming languages, programmers can specify the locations of code to run in order to reduce development efforts for the web-based client–server model where programmers write client and server programs separately and test the multiple programs together. The RPC calculus, one of the foundations of those languages by Cooper and Wadler, has the feature of symmetric communication in programmer’s writing arbitrarily deep nested client–server interactions. The feature of the calculus is fully implemented by asymmetric communication in trampolined style suitable for the client–server model. However, the existing research only considers a stateless server strategy in which all server states are encoded for transmission to the client so that server states do not need to be stored in the server. It cannot always correctly handle all stateful operations involving disks or databases. To resolve this problem, we first propose new stateful calculi that fully support both symmetric communication from the programmer’s viewpoint and asymmetric communication in its implementation using trampolined style. All the existing calculi either provide only the feature of asymmetric communication or propose only symmetric implementation suitable for the peer-to-peer model, rather than the client–server model. Second, the method used to design our stateful server strategy is based on a new locative type system which paves the way for a theory of RPC calculi for the client–server model. Besides proposing the new stateful calculi, this theory can improve the existing stateless server strategy to construct new state-encoding calculi that eliminate runtime checks on remote procedure calls present in the existing strategy, and it enables us to design a new mixed strategy that combines the benefits of both kinds of strategies. As far as we know, there are no typed multi-tier calculi that offer programmers the feature of symmetric communication with the implementation of asymmetric communication under the three strategies together.
Gain-clamped erbium-doped fiber amplifier using a Sagnac loop and low-reflectivity fiber Bragg grating

A gain-clamped erbium-doped fiber amplifier (GC-EDFA) can effectively suppress gain variations and optical surges that are often induced in the amplification of optical burst signals. In this paper, we demonstrate a simple and effective GC-EDFA using a Sagnac-loop-type EDFA with a low-reflectivity fiber Bragg grating (FBG). The gainclamped characteristics and the experimental results of the dynamic response for an optical burst signal are presented.
Effects of methanandamide on human periodontal ligament cells

Background Endocannabinoid system is involved in the regulation of periodontal tissue homeostasis. Synthetic cannabinoid methanandamide (Meth-AEA) has an improved stability and affinity to cannabinoid receptors compared to its endogenous analogue anandamide. In the present study, we investigated the effect of methanandamide on the production of pro-inflammatory mediators in primary human periodontal ligament cells (hPdLCs). Methods hPdLCs were treated with Meth-AEA for 24 h and resulting production of interleukin (IL)-6, IL-8, and monocyte chemotactic protein (MCP)-1 was measured under normal condition as well as under inflammatory conditions mimicked by the presence of Porphyromonas gingivalis lipopolysaccharide (LPS). Additionally, the effect of Meth-AEA on the proliferation/viability of hPdLCs was measured by MTT method. Results Methanandamide at concentration of 10 µM significantly inhibited P. gingivalis LPS induced production of IL-6, IL-8, and MCP-1. Basal production of IL-6 and IL-8 was slightly enhanced by 10 µM Meth-AEA. No effect of Meth-AEA on the basal production of MCP-1 was observed. Proliferation/viability of hPdLCs was not affected by Meth-AEA in concentrations up to 10 µM and was significantly inhibited by 30 µM Meth-AEA. Conclusion Our study supports the influence of cannabinoid system on the inflammatory processes in periodontal tissue and its potential involvement in the progression of periodontal disease.
Tunable High-Performance Microwave Absorption and Shielding by Three Constituent Phases Between rGO and Fe3O4@SiO2 Nanochains

With the aim of achieving high microwave absorption and electromagnetic shielding performance, reduced graphene oxide (rGO) and Fe3O4@SiO2 nanochains are successfully combined at various mass ratios. By selecting the right mass ratio, an rGO/Fe3O4@SiO2 composite with excellent microwave absorption properties is obtained, and, due to the addition of highly conductive rGO, the desired shielding effectiveness is also achieved. The reflection loss (RL) value of the composite can reach −48.34 dB with a mass ratio of 1:1, and the effective bandwidth (<-10 dB) can cover 4.88 GHz at a thickness of 2.0 mm. Moreover, the composite with a mass ratio of 4:1 exhibits outstanding electromagnetic shielding performance, which also broadens its fields of application. This outstanding microwave absorption and electromagnetic shielding performance indicate that the composite can potentially be employed as a multi-functional material.
Prevalence of Poor Hand Grip Strength in Dentists

Context: Musculoskeletal disorder are group of disorder that affect the musculoskeletal system involving nerve, tendon, muscle supporting structure. Dentists suffer a major musculoskeletal problems in day to day life due to their faulty posture. They usually work in flexed position for a longer time and repetitive moments occur . Major work is done by their hand and wrist. It may alter the hand grip strength in dentists. Aim: To determine prevalence of poor hand grip strength in dentists. Subject and Methodology: In this consecutive study, dentists working for 45 minutes or more were taken 40 dentists with 1 to 15 years of experience between age group of 20 to 50 years was included which considered of 75% of females and 25% of males respectively. Sphygmomanometer was the major outcome to assess the grip strength of hand in neutral, flexion and extension. Result: In neutral position 68% population had poor grip strength which was in between 100-200 mm/hg. In flexion, 65%, population had poor grip strength, in between while in extension, 60% population had poor grip strength. Conclusion: Poor hand grip strength was found in all three positions neutral, flexion and extension with p value of <0.0001
POLYEL - COMPOUND WITH ANTIOXIDANT PROPERTIES

A new complex compound, Polyel, which contains thiourea, macro- and microelements in the form of salts and coordination complexes, as well as vitamins, was obtained and tested. Biological tests were performed in laboratory experiments and in the vegetation complex of the Institute of Genetics, Physiology and Plant Protection. As subjects of investigations served the plants Glycine max (Merr) cultivars L. ‘Deia’, ‘Moldovița’, and ‘Enigma’ varieties, grown in the Mitcherlih vegetation pots with a volume of 40 kg soil and exposed to the drought stress at the phase "flowering - pods formation”. The beneficial effect of Polyel on antioxidant protection systems by reducing the accumulation of malondialdehyde (MDA) and intensifying the activity of antioxidant protection enzymes has been established. Polyel has been shown to be one of the new biologically active chemicals that can be used in agriculture to reduce the negative impact of oxidative stress caused by reactive oxygen species (ROS). The use of Polyel as a physiologically active substance (PAS) with antioxidant proprieties for pre-treatment of seeds and foliar apparatus is much more effective under moderate drought conditions.
Conjugality

Abstract:The wedding is often observed as performing a narrative closure, for instance, as a ritual that acts as a rite of passage to proper sex, or proper gendered and sexuated statuses framed in the terms of heteronormativity and homonormativity. The aims of this article are to sit beside recent scholarship that examines marriage, as well as the law/legal infrastructure and language that offer conjugal rights, that is, social, economic, and legal rights, and confers statuses of personhood to those who have access to them. Bride, regardless of the specific gendered status and personhood occupied within legal, social, and economic terms here, does not (only) refer to the constituted individual who lives or experiences a gendered and sexed position and location but, rather, refers to the ritual process itself that comes to produce a range of positions, scenes, desires, practices intensities, and, finally, confusions around which the expression of liberal subjecthood, or ethnic and national identity, might emerge.
Use of Sentiment Analysis for Predicting Public Opinion on Referendum: A Feasibility Study

ABSTRACT This study explored the potential of using sentiment analysis of tweets to predict referendum choices (Brexit). The feasibility of using StreamKM++ in the massive online analysis framework was examined over five categories, ranging from strongly agree to strongly disagree (to exit). A Naïve Bayes classifier was used to classify people’s opinions according to these categories. The prediction model resulted in high accuracy (97.98%), making it possible to use it in predicting opinions about public events and issues. The findings from this study may help practitioners, and policymakers understand the importance of sentiment analysis of social media in assessing public opinion and, accordingly, making certain voting predictions.