Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-Fragile Dynamic Output Feedback Control Design for Fuzzy Stochastic Systems (Special Issue on the 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications(1))

The paper considers a non-fagile control design via dynamic output feedback controller for fuzzy stochastic systems that are subject to stochastic disturbances. In practical situations, robust control design methods should take case of disturbances into the system and variations in control gains, and they should assume that not all the states of the system are available for the feedback control. In addition, malfunction may occur in actuators. Hence, a non-fragile output feedback control design is desired. In this paper, robust stabilization via dynamic output feedback control with uncertain control gain for fuzzy stochastic systems is considered and a control design of robust stabilizing controllers is proposed. The robust stability analysis of the closed-loop system and non-fragile controller design via descriptor system approach are given in terms of LMI conditions. The resulting conditions are less conservative than the existing results. An illustrative example is provided to show the effectiveness of the proposed method.
A Study to Distinguish Between Wastewater Treatment Plants in Rural Egypt

Several wastewater treatment plants technologies have been set up in the Egyptian villages; however, the most efficient and economical technology hasn't been determined. This research aims to distinguish between the wastewater treatments plants which are used in rural Egypt to find out the best between them. The data about Centralized and Decentralized wastewater treatment plants which are used in rural Egypt using group of factors has been collected to distinguish between the characterizations of these plants by doing a questionnaire to evaluate the weight of these factors. The questionnaire has been given to experts to evaluate the factors for getting relative weights of them. Expert evaluated the factors according to his importance by choosing a mark from the lowest value one to the highest value ten. After receiving the results of the questionnaire from the experts, the data were processed to find out the best group of results of these plants. The largest percentage of Relative Weights of factors is Efficiency, followed by Costs, Average load removed, Specific surface area, Average flow and Average population. The best three centralized wastewater treatment plants were from the aerobic treatment.
Technical note on long-term probe misalignment and proposed quality control using the heat pulse method for transpiration estimations

Abstract. Whole-plant transpiration is a crucial component in the hydrological cycle and a key parameter in many disciplines like agriculture, forestry and ecology. Sap flow measurements are one of the most widely used methods to estimate whole-plant transpiration in woody species due to its wide application range and its ready automation for continuous data readings. Several different methods have been developed and adjusted to different climatic conditions and wood properties. However, the scientific literature also identifies several sources of error in the method that needs to be accounted for; misalignment of the probes, wound to the xylem, thermal diffusivity and stem water content. This study aims to integrate probe misalignment as a function of time to improve readings during long-term measurements (> 3 months). We conclude that even when geometrical misalignments errors are small, the introduced corrections can imply an important shift in sap flow estimations. Additionally, we propose a new set of statistical information to be recorded during the measurement period to use as a quality control of the heat ratio readings obtained from the sensors. By using relative standard deviation and slope as quality indicators we concluded that no general time limit can be decided for all sensors but should rather be determined from individual performance over time.
Farmers' experience with lucerne in Western Australia.

Lucerne has been promoted in Western Australia for over 20 years to assist in controlling the spread of dryland salinity. Despite the promotion, lucerne has not been adopted extensively, occupying < 2% of the total agricultural land. However, some farmers have embraced lucerne extensively. In this study we capture the experiences of these farmers, including the different ways they used lucerne. A total of 25 experienced lucerne growers in the mixed-farming zone of Western Australia were interviewed using a semi-structured format about why, where and how they grew lucerne. The farmers grew dryland lucerne on an average of 13% of their arable land in rotation with crops. There was considerable variation (4– 19%) between regions in the proportion of the farm in lucerne. Nearly all the farmers we interviewed first tried lucerne to control excess water to reduce salinity, but some of them then developed innovative ways to utilise lucerne. We give examples of the different ways lucerne was used, from a salinity management tool to an integral part of a program to increase farm productivity. By outlining the different ways lucerne was used and the variety of pathways of changing use we hope to show that lucerne gives farmers the flexibility to change their farming system or use it more simply. An understanding of the range of possibilities that lucerne provides will help both agronomists and farmers assess how lucerne might best be used in different circumstances.
Successive Convexification for Real-Time 6-DoF Powered Descent Guidance with State-Triggered Constraints

In this paper, we present a real-time successive convexification algorithm for a generalized free-final-time 6-degree-of-freedom powered descent guidance problem. We build on our previous work by introducing the following contributions: (i) a free-ignition-time modification that allows the algorithm to determine the optimal engine ignition time, (ii) a tractable aerodynamics formulation that models both lift and drag, and (iii) a continuous state-triggered constraint formulation that emulates conditionally enforced constraints. In particular, contribution (iii) effectively allows constraints to be enabled or disabled by if-statements conditioned on the solution variables of the parent continuous optimization problem. To the best of our knowledge, this represents a novel formulation in the optimal control literature, and enables a number of interesting applications, including velocity-triggered angle of attack constraints and range-triggered line of sight constraints. Our algorithm converts the resulting generalized powered descent guidance problem from a non-convex free-final-time optimal control problem into a sequence of tractable convex second-order cone programming subproblems. With the aid of virtual control and trust region modifications, these subproblems are solved in succession until convergence is attained. Simulations using a third-party solver demonstrate the real-time capabilities of the proposed algorithm, with a maximum execution time of less than 0.7 seconds over a multitude of problem feature combinations.
Evaluation of mass bathing effects on water quality status of eight prominent ponds of Haryana (India): A multi-location study

Amongst the various anthropogenic activities, mass bathing and other religious rituals also affect the water quality of aquatic ecosystem. The present research has been conducted to evaluate the impact of mass bathing and other religious activities on the eight famous religious water bodies of Haryana (Kapalmochan tirth, Kulotarn tirth, Ban-Ganga tirth, Brahmsarovar, Jyotisar, Saraswati tirth, Phalgu tirth and Pandu-Pindara tirth). The water samples were collected from three sampling stations (A, B and C) at each of the eight selected sites (S1 to S8) before and after the religious rituals and also seasonally. The samples were analyzed for Dissolved oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD) ammonia and heavy metals . The study highlighted the seasonal variations of physicochemical characteristics and also the effects of mass bathing and religious activities on water quality of the religious sites. Although the water was reported as safe in terms of DO content, total ammonia, BOD and the values of COD before the religious rituals but the values exceeded the maximum permissible limit {DO (0.8±0.1, 0.76±0.11), BOD (25.07±0.13, 18.13±0.13),COD (131.9±2.08), Ammonia (2.31±.23, 6.57±0.02) Iron (5890 µg L-1) and Zinc (200 µg L-1)} after mass bathing and religious rituals indicating that the water was not suitable for drinking as well as bathing purposes after the rituals/mass bathing. So, bathing during/after such rituals may become a health hazards to the bathers or users of the water and also may affect the aquatic biota, further depleting it. There is thus a need of regular monitoring and regular application of suitable remedial measures to prevent the depletion of the quality of lentic waters.
Linear Discriminant Analysis on Brain Computer Interface.

This report analyses the application of Linear Discrimi- nant Analysis in Brain Computer Interface technology. It is aimed to obtain an objective evaluation of the discrimination capability achieved when different filtering windows are considered in order to differentiate between three different cerebral activities. In this report the following issues are discussed:  Quantification of the discrimination capability between the employed cerebral activities.  Identification of the frequency bands with the highest discrimination power.  Methodology to weight the amplitude of the previous frequency bands in order to reduce the dimensionality of the feature space and facilitate posterior analysis, without lost of intrinsic characteristics of each cerebral activity.  Determination of the best preprocess window. Linear Discrimination Analysis is employed in order to reduce the dimensionality of the input feature space; bilateral contrasts between features, inferred from each cerebral activity, are used to determine the discrimination power.
Elephant seals breeding on the mainland in California

lUlSTRACT: A northern elephant seal gave birth on the mainland at Ano Nuevo Point, California, in 1975, the rust mainland birth for this species in this century. Seven females gave birth in 1976 and 16 in 1977. The initiation of breeding in this location was apparently precipitated by crowding on the }vio Nuevo Island rookery, less than 1 km away. The new breeding area shows signs of increasing rapidly in size. Two hundred and forty-five thousand tourists attempted to view the seals during the last three years; 106.000 were taken on tours. The animals did not appear to be disturbed by the presence of humans in plain view at a distance of 10 m or more.
THE MODIFIED FUZZY C-MEANS METHOD FOR CLUSTERING OF MICROARRAY DATA

*SUMMARY Motivation: Microarray experiments provide large amount of data, thus development of appropriate methods and tools of analysis is rather important. Clustering as one of such methods allows identifying biologically relevant groups of genes. Results: We developed an algorithm of the fuzzy c-means family, designed for clustering of microarray data and distance matrices, with genetic algorithm as optimization. Availability: The program, which implements the developed method and some additional features, is available at http://biorainbow.com/fuzzyclustering/
UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and Machine Learning

A remote sensing technique was developed to detect citrus canker in laboratory conditions and was verified in the grove by utilizing an unmanned aerial vehicle (UAV). In the laboratory, a hyperspectral (400–1000 nm) imaging system was utilized for the detection of citrus canker in several disease development stages (i.e., asymptomatic, early, and late symptoms) on Sugar Belle leaves and immature (green) fruit by using two classification methods: (i) radial basis function (RBF) and (ii) K nearest neighbor (KNN). The same imaging system mounted on an UAV was used to detect citrus canker on tree canopies in the orchard. The overall classification accuracy of the RBF was higher (94%, 96%, and 100%) than the KNN method (94%, 95%, and 96%) for detecting canker in leaves. Among the 31 studied vegetation indices, the water index (WI) and the Modified Chlorophyll Absorption in Reflectance Index (ARI and TCARI 1) more accurately detected canker in laboratory and in orchard conditions, respectively. Immature fruit was not a reliable tissue for early detection of canker. However, the proposed technique successfully distinguished the late stage canker-infected fruit with 92% classification accuracy. The UAV-based technique achieved 100% classification accuracy for identifying healthy and canker-infected trees.
Mass of intermediate black hole in the source M82 X-1 restricted by models of twin high-frequency quasi-periodic oscillations

We apply the relativistic precession (RP) model with its variants and the resonance epicyclic model with its variants, based on the frequencies of the geodesic epicyclic motion in the field of a Kerr black hole, to put limits on the mass of the black hole in the ultraluminous X-ray source M82 X-1 demonstrating twin high-frequency quasi-periodic oscillations (HF QPOs) with the frequency ratio near 3:2. The mass limits implied by the geodesic HF QPO models are compared to those obtained due to the model of string loop oscillations around a stable equilibrium position. Assuming the whole range of the black hole dimensionless spin, 0 130 M_{sun} confirming existence of an intermediate black hole in the M82 X-1 source. The upper limit given by one of the variants of the geodesic twin HF QPO models goes up to M_{M82 X-1}<1500 M_{sun}. The range 37-210 mHz of the low-frequency QPOs observed in the M82 X-1 source introduces additional restrictive limits on the black hole mass, if we model the low-frequency QPOs by nodal precession of the epicyclic motion. The nodal precession model restrictions combined with those implied by the geodesic models of the twin HF QPOs give allowed ranges of the M82 X-1 black hole parameters, namely 140 M_{sun}
Metallurgy and Corrosion Control in Oil and Gas Production

metallurgy and corrosion control in oil and gas production. metallurgy and corrosion control in oil and gas production. corrosion control metallurgy and corrosion control in. offshore technology report 2001 044. carbon dioxide corrosion in oil and gas production—a. metallurgy and corrosion control in oil and gas production. pdf epub download metallurgy and corrosion control in. corrosion control in exploration amp production petrosync. materials selection amp design industry nace international. murag. refining of crude and its corrosion control using. metallurgy and corrosion control in oil and gas production. metallurgy and corrosion control in oil
ACADEMIC WRITING ESSENTIALS : A GUIDE FOR POSTGRADUATE STUDENTS

Academic Writing Essentials is a writing reference for masters and doctoral students whose first language is not English.This book will assist you in adjusting to the expectations of writing in English for a higher degree.It offers guidance on strategies and conventions that apply in most forms of postgraduate-level writing. Features: Planning writing, Developing ideas, Integrating sources,Documenting sources, Synthesizing literature, Writing analytically Highlights: Research proposal, Article review, Case analysis report, Literature review paper. Academic Writing Essentials is designed to facilitate self-study.Annotated examples from journal articles, writing frames and simple explanations help you to understand language, style and organizational features, and to apply the knowledge directly in your own writing.
[Columba livia domestic breed, invasive entity also alien for Italy]

[The Rock Dove (Columba livia) is a polytypic species originally confined to coastal and inland cliffs of western Palaearctic and northern Ethiopian regions and to those of Indian subcontinent. The present distribution is confused by extensions of range through hybridization with feral stock, which have determined its diffusion in geographical areas and environments that are very different and distant from the original ones, with a naturalized distribution now virtually cosmopolitan. Besides a substantial number of domestic breeds reared and maintained in this state, Columba livia is now represented by the original wild populations, generally in decline, and by feral populations, originated from abandoned or escaped domestic individuals. These populations developed above all, but no exclusively, in the cities, starting from the end of the XVIII century, with a further significant increase during the second post-war period, In this work, after having examined and discussed the distribution of the species resulting from the Pleistocene fossil findings and from the historical ornithological literature, we advance the hypothesis that wherever there are free-living populations showing phenotypic, biometric or genetic characteristics different from the wild morphotype, it is legitimate to consider these populations as an alien complex of domestic origin, to be controlled by culling and, when possible, eradicated. On the side-lines of this work, the Authors hope for a reconsideration of Italian names of this species. ] [Article in Italian]
A discrete-event system method for solving the single airport ground-holding problem in air traffic control

A single airport ground-holding problem (GHP) model based on discrete-event system (DES) is presented in this paper. According to the various characteristics of the airport capacity, the deterministic and stochastic cases as well as the corresponding algorithms are discussed. Parameters such as the runway landing service time (RLST), the cost ratio between the airborne delay and the ground delay, are analyzed in detail, the complexity of this algorithm is compared with the conventional algorithms. Simulation experimental results are presented to demonstrate the effectiveness of the algorithms.
For a Proportion Principle-based Gameplay Design

Game Design has nourished on the advent of several methods for gameplay development. The most well-known are the MDA framework (Hunicke et al. 2004), Fullerton's Playcentric Approach (2008) and Bjork's and Holopainen's Design Patterns (2004). Each of the models specifies an objective, the elements to work with and the agency and experience to be afforded to the player as final outcome. Given that videogames are human constructions, it can also be possible to take very different perspectives than the ones already explored and turn to a design pattern of long-established tradition and presence: the mathematical Golden Mean and its concept of proportion.
Prediction and Inference of Flow Duration Curves Using Multioutput Neural Networks

We develop multioutput neural network models to predict flow‐duration curves (FDCs) in 9,203 ungaged locations in the Southeastern United States for six decades between 1950 and 2009. The model architecture contains multiple response variables in the output layer that correspond to individual quantiles along the FDC. During training, predictions are made for each quantile, and a combined loss function is used for back propagation and parameter updating. The loss function accounts for the covariance between the quantiles and generates physically consistent outputs (i.e., monotonically increasing quantiles with increasing nonexceedance probabilities). We use neural network dropout to generate posterior‐predictive distributions for FDCs and test model performance under cross validation. Finally, we demonstrate how local surrogate models, via the Local Interpretable Model‐agnostic Explanations method, can be used to infer the relation between basin characteristics and the predicted FDCs. Results suggest that multioutput neural network models can learn the monotonic relations between adjacent quantiles on an FDC; they result in better predictions than single‐output neural network models that predict each quantile independently, and basin characteristics are most useful for predicting smaller quantiles, whereas bias terms from neighboring quantiles are most informative for predicting higher quantiles.
Improvement to Montgomery Modular Inverse Algorithm

After a comprehensive investigation of the Montgomery modular inverse algorithm and its refined versions, we present two modified high radix algorithms.The 4-radix algorithm can reduce the average upper limit of the number of iterations from 2n to 7/6n,and the average number of iterations from 3n/2 to 7/8n while adding little complexity.And the 8-radix one can reduce the related number of iterations to 25/24n and 25/32n,but there are more comparisons and bran- ches.For the new algorithms terminate when one of the two key operands,rather than both,is reduced to 1,the actu- al number of iterations may be even smaller than the ones above The new algorithms can also be used in algorithms in [1,2,7]to get classical modular inverse.The proposed algorithms are suitable for software implementations on gener- al-purpose microprocessors,and can be used in public key cryptographic applications such as RSA and ECC.
Improvement and Assessment of the Absolute Positioning Accuracy of Chinese High-Resolution SAR Satellites

In recent years, China has launched YaoGan-13 and GaoFen-3, high-resolution synthetic aperture radar (SAR) satellites that can acquire global high-resolution images. The absolute positioning accuracy of such satellites is important for mapping areas without ground reference points and for automated processing. However, satellites without geometric calibration have poor absolute positioning accuracy, greatly restricting their application (e.g., land resource surveys). Therefore, they cannot meet national demands for high-resolution SAR images with good geometric accuracy. Here, we propose a series of methods to improve the absolute positioning accuracy of YaoGan-13 and GaoFen-3, such as the multiple-image combined calibration strategy and geometric calibration model for a real continuously moving configuration, including consideration of atmospheric propagation delay. Using high-accuracy ground control data collected from different areas, the 2-D and 3-D absolute positioning accuracies of YaoGan-13 and GaoFen-3 were assessed after implementation of the improvement measures. Experimental results showed that, after calibration, the 2-D absolute positioning accuracy of YaoGan-13 and GaoFen-3 are improved from 43.86 m to 2.57 m and from 30.34 m to 4.29 m, respectively. In addition, the 3-D absolute positioning accuracies of YaoGan-13 in plane and elevation are 3.21 m and 2.22 m, respectively. Improving the absolute positioning accuracy of these satellites could broaden the scope of their potential applications in the future.