Miracle-dz/UniFAR-FTUs huggingface dataset:
CLASSIFICATION OF EEG SIGNAL DATA USING HYBRID OF NEURO-FUZZY

Brain Computing interface technology represents a very highly growing field now-a-days for the research because of its unique applications system. In this paper we investigate classification methods of mental commands based on EEG data for BCI. The aim of this study is to present the work of training an artificial neural network (ANN) and Neuro-Fuzzy system provided with the data of a few healthy people who are in different mental states thinking about different activities like eating, walking or sleeping etc. It creates a mutual understanding between mind wave signals and the machine or surrounding system. In recent years’ applications based on the brain computing interface have gained a rather huge popularity because of its benefits like providing disabled people with a communication and control environment along with different types of movement restorations. It is proving to be revolutionary in the fields of medical and robotics, mind reading and remote communication etc. This paper puts forward the idea of using a classification algorithm based on a new hybrid approach using neural networks and fuzzy logic that can collectively detect and recognize the state of mind. The EEG brain signals tend to change as our mind state changes because of the voltage fluctuations resulting from the ionic currents in the neurons of the Brain. Features are extracted from the raw electroencephalography (EEG) data using data processing technique PPCA (probabilistic principle component analysis) and are fed to the classifier. The features extracted have been used to train the neural network by using the MATLAB toolbox (Bronzino, J. D. 2010). The work carried out here is to be later on compared with the outputs generated by using just a neural networks based classification algorithm.
Symbiont-bearing Foraminifera from Reefal Areas: a Case Study from Rio Grande Do Norte (rn, Brazil)

We examined the abundances of two species of benthic foraminifera that host algal endosymbionts (SBF) in two sedimentary reefal areas (Pirangi and Maracajaú) of Rio Grande do Norte (RN, Brazil). The original dataset is based on 95 samples collected in winter in 2013 and 2014 by divers or grab samplers, and is compared to other known Brazilian reefs. The tests of Amphistegina gibbosa were conspicuous in sediments associated with coral and coral-rubble substrata, whereas tests of Amphisorus hemprichii were best represented in sediments associated with seagrass. Our studies also have revealed that populations of these species are depauperate near tourism sites in Pirangi, as the area is affected by trampling from tourist activities. In the Maracajaú area, these populations are healthier, except at sites severely affected by tourism. Differences in microhabitats of the two taxa are likely to be associated with the degree of anthropogenic influence on the inner shelf at Pirangi compared to the offshore Maracajaú area.
Three new species of Ijuhya (Bionectriaceae, Hypocreales) from metropolitan France, French Guiana and Spain, with notes on morphological characterization of Ijuhya and allied genera

Three new species of Ijuhya are described and illustrated, based on material collected in metropolitan France, French Guiana and Spain. Based on morphological and phylogenetic comparison with the known Ijuhya species as well as the related genera Lasionectria and Lasionectriella, we propose I. salviicola, I. saulensis, and I. somiedoensis as new species. The three species were cultured but only I. salviicola produced an acremonium-like asexual morph. Morphological characteristics distinguishing Ijuhya, Lasionectria and Lasionectriella are discussed and illustrated. The new combination Lasionectria boothii is proposed and Lasionectria lecanodes (Ces.) Petch is re-instated.
Designing a Control System for Underground Water Intakes

The hydrolytosphere as a multicomponent system is very complex in its structure. Management of hydrolysis processes involves consideration of three aspects: improving the methods for determining the parameters of hydraulic communication of aquifers, capacitive and filtration properties; improvement of methods for constructing mathematical models; development and improvement of principles and methods for constructing control systems for hydrolytospheric processes. It is known that mathematical models describing hydrolithospheric processes, as a rule, do not have an analytical solution. To describe the dynamic characteristics of the object under consideration, the structure of a non-standard approximating link is considered. The technique for determining the parameters of the link in question is used to describe the static and dynamic characteristics of the “production well-formation” process. The distributed hydrolithospheric process and the concentrated, scalar effect on this process are considered. The input influence on the control object is the production well output, the output function is the deviation of the level at the well sampling point. The parameters of the approximating link can be calculated either using the results of the experiment at the working well or using the simulation results of the process under consideration.
Effect of the 2018 Martian Global Dust Storm on the CO2 Density in the Lower Nightside Thermosphere Observed From MAVEN/IUVS Lyman‐Alpha Absorption

The MAVEN/Imaging Ultraviolet Spectrograph (IUVS) instrument measures Lyman‐α emissions from interplanetary and Martian hydrogen at the limb and through the extended corona of Mars. In June 2018, a global dust storm (GDS) surrounded Mars for a few months, heating the lower atmosphere and leading to an expansion of the Martian atmosphere. Nightside IUVS observations before and throughout this GDS showed the altitude of CO2 absorption of Lyman‐α photons in the thermosphere to increase by 4.5±1.0 km on 8 June 2018. This shift is attributed to an increase of the CO2 density by a factor 1.9±0.2 at 110 km due to the heating of the lower atmosphere. These nightside observations, not previously used to study dust storms, in an altitude range not sampled by other instruments, are consistent with dayside MAVEN observations and allow for more comprehensive determination of the global changes produced by the GDS on the Martian thermosphere.
Automatic Detection of Track and Fields in China from High-Resolution Satellite Images Using Multi-Scale-Fused Single Shot MultiBox Detector

Object detection is facing various challenges as an important aspect in the field of remote sensing—especially in large scenes due to the increase of satellite image resolution and the complexity of land covers. Because of the diversity of the appearance of track and fields, the complexity of the background and the variety between satellite images, even superior deep learning methods have difficulty extracting accurate characteristics of track and field from large complex scenes, such as the whole of China. Taking track and field as a study case, we propose a stable and accurate method for target detection. Firstly, we add the “deconvolution” and “concat” module to the structure of the original Single Shot MultiBox Detector (SSD), where Visual Geometry Group 16 (VGG16) is served as a basic network, followed by multiple convolution layers. The two modules are used to sample the high-level feature map and connect it with the low-level feature map to form a new network structure multi-scale-fused SSD (abbreviated as MSF_SSD). MSF-SSD can enrich the semantic information of the low-level feature, which is especially effective for small targets in large scenes. In addition, a large number of track and fields are collected as samples for the whole China and a series of parameters are designed to optimize the MSF_SSD network through the deep analysis of sample characteristics. Finally, by using MSF_SSD network, we achieve the rapid and automatic detection of meter-level track and fields in the country for the first time. The proposed MSF_SSD model achieves 97.9% mean average precision (mAP) on validation set which is superior to the 88.4% mAP of the original SSD. Apart from this, the model can achieve an accuracy of 94.3% while keeping the recall rate in a high level (98.8%) in the nationally distributed test set, outperforming the original SSD method.
Public Attitudes to Inequality in Water Distribution: Insights From Preferences for Water Reallocation From Irrigators to Aboriginal Australians

Water allocation regimes that adjudicate between competing uses are in many countries under pressure to adapt to increasing demands, climate‐driven shortages, expectations for equity of access, and societal changes in values and priorities. International authorities expound standards for national allocation regimes that include robust processes for addressing the needs of “new entrants” and for varying existing entitlements within sustainable limits. The claims of Indigenous peoples to water represents a newly recognized set of rights and interests that will test the ability of allocation regimes to address the global water governance goal of equity. No study has sought to identify public attitudes or willingness to pay for a fairer allocation of water rights between Indigenous and non‐Indigenous people. We surveyed households from the jurisdictions of Australia's Murray‐Darling Basin, a region undergoing a historic government‐led recovery of water, and found that 69.2% of respondents support the principle of reallocating a small amount of water from irrigators to Aboriginal people via the water market. Using contingent valuation, we estimated households are willing to pay A$21.78 in a one‐off levy. The aggregate value calculated for households in the basin's jurisdictions was A$74.5 million, which is almost double a recent government commitment to fund the acquisition of entitlements for Aboriginal nations of this basin. Results varied by state of residency and affinity with environmental groups. An information treatment that presented narrative accounts from Aboriginal people influenced the results. Insights from this study can inform water reallocation processes.
Agent Oriented Software Development Method

Agent oriented software development method is a new research area in the field of software engineering. As the method provides abstract concept, i.e., agent, to naturally model the computational entities and problem solving manners in complex system, and ways to effectively control the system complexity, many attentions have been imposed on it. The paper summarizes the research status, introduces and investigates a number of representative works, and at last concludes the existing problems and future further research work.
Efficient Dynamic Time Warping for Time Series Classification

Background/Objective: Dynamic Time Warping (DTW), a similarity measure works in O(n2) complexity. Cause of this it will be used for small datasets only. Methods/Statistical Analysis: In this work, we introduced Efficient DTW (EDTW), which works in linear time. It uses two level approaches. In the first level data reduction is performed, and in the second level warping distance and path are calculated. Findings: While calculating the values of distance matrix, values along the warping path only considered and calculated. For time series of length n, maximum n values of distance matrix are calculated. So it works in linear time. Improvements/Applications: We applied this distance measure to UCR Time Series archive and calculated error rate of 1NN classification. Most of the cases it is matching, some cases it is better, and some other cases error rate is high.
Middle‐Latitudinal Band Structure Observed in the Nighttime Ionosphere

In this study, the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) electron densities (Ne) from 200 to 800 km during 2006–2017 are used to investigate the middle‐latitudinal band structure of the nighttime ionosphere. The main results are as follows. (1) In the nighttime, the Ne at about ±40° geomagnetic latitudes is generally greater, especially in the topside ionosphere. (2) Double bands of relatively high Ne are seen at all longitudes during the equinoxes, while only one latitudinal band is clearly visible at specific longitudes in the winter hemisphere during the solstices. (3) The middle‐latitudinal band structure of the topside ionosphere is more pronounced at later local times (LTs) at night and under lower solar activity. (4) The middle‐latitudinal band structure mainly occurs at 23‐05 LT. (5) The seasonal/longitudinal variations of the middle‐latitudinal band structure are consistent with those of the plasmaspheric total electron content at low latitudes and upward field‐aligned winds at middle latitudes. (6) At the middle‐latitudinal bands, the downward plasma diffusion from the plasmasphere provides stable plasma source to the topside ionosphere, while the upward plasma motion due to the neutral winds is the primary source for the F2 peak region. (7) The plasma sources for the middle‐latitudinal band structures at different altitude regions are probably different, so that the resulting measurements might be due to a coalescing of these two completely different mechanisms. (8) The modulated recombination rates due to the thermospheric dynamics could also reinforce this structure.
Regional differences in rainfall frequency and amount over southwestern China

ABSTRACT In this paper, the rainfall features in southwestern China are studied using daily rainfall station data. The rainfall features are distinct along the eastern and western edges of the Hengduan Mountains and over the mountains, especially in terms of rainfall frequency. The rainfall amounts and frequencies are much higher along the eastern and western edges than over the mountains, particularly during spring, which is partly contributed by the number and duration of rainfall events. The differences are more obvious in the nocturnal rainfall than in the daytime rainfall. The rainfall differences over the three regions could be affected by the large-scale environment. By analyzing reanalysis data, the large-scale circulations linked to the different rainfall features over southwestern China, and the interactions of these circulations with the topography are also discussed. Graphical abstract
Data Acquisition System Based on ADS1256 for Electric Field Measure of Warship

Based on ADS1256,a new design for the signal acquisition system for the electric field of warship is introduced.The system can commendably measure object's signal about electric field under the water and has solved the key techniques for low noise,low power.Detail analysis and correlate structure with the circuit are also presented.Using the hardware antijamming measure overcame the disturbance and the noise influence well which the simulation transmission brought.Practical results show that the system is convenient and credible.
The State of the Soil Organic Matter and Nutrients in the Long-Term Field Experiments with Application of Organic and Mineral Fertilizers in Different Soil-Climate Conditions in the View of Expecting Climate Change

Soil organic matter (SOM) plays an important role in the terrestrial ecosystems and agroecosystems. Changes in the agricultural sector in the countries of the Central and Eastern Europe (the Czech Republic, Slovakia, Poland, etc.) within the past 25 years have negatively affected the SOM and contributed to the soil degradation. The aim of this chapter is the evaluation of the long-term application of mineral fertilizers and farmyard manure: the Control (without fertilization), farmyard manure (FYM + 0), FYM accompanied with NPK (FYM + N3PK), and FYM with mineral nitrogen FYM + N (FYM + N2), on the essential chemical properties of the soil and yield of the fundamental arable crops in the long-term field experiments, established in different soil and climate conditions (black soils, brown soils, cambisols, altitude ranging from 260 to 650 m a.s.l.) of the Czech Republic in 1955, using the modern multi-criteria statistical methods (PCA, FA, CLU, etc.). The longterm and regular application of organic manure and organic manure with mineral fertilizers (FYM + N3PK and FYM + N2) optimize the soil characteristics, stabilize crop and feedstuff production, and increase the adaptation potential of the soil in the Czech Republic, which is supposed to be weakened due to the expected changes of the environmental conditions in the near future.
Automatic Tagging of Songs Using Machine Learning

In this research work automatic tagging of songs using machine learning has been performed so that searching could be made effective while selecting songs. The goal of this research paper is to propose a system that will automatically recognize the genre of the tracks and tag them respectively by using different parameters obtained by acoustic analysis. The research work utilizes different combinations of algorithms and music parameters to accurately classify tracks into genres.
A Discrete Artificial Potential Field for Ship Trajectory Planning

This paper introduces an approach for solving a safe ship trajectory planning problem. The algorithm, utilising the concept of a discrete artificial potential field and a path optimisation algorithm, calculates an optimised collision-free trajectory for a ship. The method was validated by simulation tests with the use of real navigational data registered on board the research and training ship Horyzont II. Results of simulation studies demonstrate that the approach is capable of finding a collision-free trajectory in near-real time, and this proves its applicability in commercial collision avoidance systems for ships. The paper contributes to the development of decision support systems for ships and autonomous navigation.
Objective image quality assessment of multiframe super-resolution methods

Super-resolution (SR) represents a class of signal processing methods allowing to create a high resolution image (HR) from several low resolution images (LR) of the same scene. Therefore, high spatial frequency information can be recovered. Applications may include but are not limited to HDTV, biological imaging, surveillance, forensic investigation. In this paper, a survey of SR methods is provided with focus on the non-uniform interpolation SR approach because of its lower computational demand. Based on this survey eight SR reconstruction algorithms were implemented. Performance of these algorithms was evaluated by means of objective image quality criteria PSNR, MSSIM and computational complexity to determine the most suitable algorithm for real video applications. The algorithm should be reasonably computationally efficient to process a large number of color images and achieve good image quality for input videos with various characteristics. This algorithm has been successfully applied and its performance illustrated on examples of real video sequences from different domains.
Ping-pang Cache Structure in Real-time Video Processing System

In real-time digital video processing system,pingpang cache structure is usually employed to avoid the conflict between the invariable video codec speed and variable speed of DSP image processing.The characteristics of FIFO,double-port RAM and ping-pang cache structure were compared.The principle and features of ping-pang cache structure were discussed,and a real ping-pang cache structure was also given which consisted of high-speed,large capacity SRAM and FPGA.For a video processing system,this ping-pang cache structure is easy to interface with AD,DA and DSP.
Investigation on cavitation occurrence potential in Seymareh dam’s bottom outlet

ABSTRACT Cavitation phenomenon is one of the common problems of bottom outlets which convey high-speed flows. In the present study, the possibility of cavitation occurrence is numerically investigated. A numerical model is developed for the flow passing through bottom outlet using FLOW 3D software and K-ε (RNG) turbulent model. The model is operated for reservoir normal and maximum water heads also for various service gate openings. For normal head and different service gate openings, the research results show that cavitation indices are lower than the critical amount (0.2) on the conduit bed for 10%, 20%, 30%, 40%, 50%, 70%, and 80% service gate openings. Also, the side walls of conduit encounter with cavitation phenomenon immediately downstream of service gate for all gate openings. It is observed that the conduit top wall is free of cavitation damage hazard where the minimum cavitation index is equal to 0.46. At maximum reservoir head, the cavitation is not occurred inside the emergency gate slot and on its walls.
Human Health and Wellbeing Climate Change Adaptation Plan for Queensland

The Queensland Department of Environment and Science (DES) engaged the National Climate Change Adaptation Research Facility (NCCARF) and the Climate and Health Alliance (CAHA) to develop a Human Health and Wellbeing Climate Adaptation Plan (H-CAP) with the health, aged care and childcare sectors in Queensland. This is one of the eight sector adaptation plans, developed as part of Queensland Climate Adaptation Strategy (QCAS). The plan was launched at the Lady Cilento Children’s Hospital in Brisbane on the 11th September 2018 by the Minister for Health and Ambulance Services, the Honourable Dr Stephen Miles. The goal of the H-CAP is to support human health and wellbeing services to be innovative and resilient in managing the risks associated with a changing climate, and to harness the opportunities provided by responding to the challenges of climate change. It provides a preliminary climate change adaptation framework and guidance for stakeholders across health care, aged care, and childcare services.
Job Shop Scheduling With Profit and Entropy as Performance Measures

To solve the unilateral problems of job-shop scheduling performance measures used in previous studies,by using an unified measure-profit integrated time,quality,cost,energy and environment along with entropy as evaluating the scheduling effectiveness,an approach for job-shop scheduling algorithm is proposed based on genetic algorithm. Wherein,the profit is regarded as the adaptive value of the chromosome in genetic algorithm,a set of suboptimal scheduling schemes gained via searches,and the best scheduling scheme is gained after decision-making for the suboptimal scheduling schemes with profit and entropy as objectives summed up by entropic weights. Examples and programs in program language C# are used to illustrate validation. It shows that the proposed approach have some advantage than that of traditional scheduling algorithms in all sidedness and practicability of performance measures.