Miracle-dz/UniFAR-FTUs huggingface dataset:
A GrGen.NET solution of the AntWorld case for the GraBaTs 2008 Contest

Fully Featured Meta Model: GrGen.NET uses attributed and typed multigraphs with multiple inheritance on node/edge types. Expressive Rules, Fast Execution: The expressive and easy to learn rule specification language allows straightforward formulation of even complex problems while remaining one of the fastest automatic graph rewrite systems known to us (cf. [3]). Programmed Rule Application: GrGen.NET has a high-level interface to programmed rule application: Graph Rewrite Sequences (GRS). Graphical Debugging: GrShell, GrGen.NET’s command line shell, offers interactive execution of rules, visualising the current graph and the rewrite process. This way you can see what the graph looks like at a given step of a complex transformation and develop the next step accordingly. Or you can debug your rules.
A Survey of Mobile Laser Scanning Applications and Key Techniques over Urban Areas

Urban planning and management need accurate three-dimensional (3D) data such as light detection and ranging (LiDAR) point clouds. The mobile laser scanning (MLS) data, with up to millimeter-level accuracy and point density of a few thousand points/m2, have gained increasing attention in urban applications. Substantial research has been conducted in the past decade. This paper conducted a comprehensive survey of urban applications and key techniques based on MLS point clouds. We first introduce the key characteristics of MLS systems and the corresponding point clouds, and present the challenges and opportunities of using the data. Next, we summarize the current applications of using MLS over urban areas, including transportation infrastructure mapping, building information modeling, utility surveying and mapping, vegetation inventory, and autonomous vehicle driving. Then, we review common key issues for processing and analyzing MLS point clouds, including classification methods, object recognition, data registration, data fusion, and 3D city modeling. Finally, we discuss the future prospects for MLS technology and urban applications.
Identification of Gender Difference and Homogeneous Population on the basis of Finger-Ball Patterns: A study among Tadvi of Gujarat, India

The fingerprint study is a very significant method for personal identification and estimate of difference among population groups. It studies the patterns and carving on the fingers which can vary among males and females and one population to another. The finger-ball prints of 30 males and 30 females were collected. The aims were to determine the frequency distribution and predominant finger-ball pattern; to find out a variation between males and females; and to find out variation between different populations on the basis of dermatoglyphic indices. The frequency distribution is found to be in order: Loops>Whorls>Arches. No significant gender difference was observed between males and females in terms of finger-ball patterns. The Gender difference cannot be estimated through finger-ball pattern in the studied population.Highly significant (p<0.00001) difference on the basis of various dermatoglyphics pattern indices is observed among different populations of the same geographical location (western India).
Feeding preferences of the sea urchin Diadema setosum (Leske, 1778) in Taklong Island National Marine Reserve, Guimaras, Philippines

Sea urchins are keystone herbivores that greatly influence primary productivity, algal abundance and scleractinian coral recruitment. The long-spined black sea urchin Diadema setosum is widespread and abundant in reef flats throughout the Philippines. Prior studies regarding the feeding preference of D. setosum have been conducted overseas, but little is known about the impact of the echinoid herbivory on reef flat communities in the Philippines. Feeding preferences of D. setosum on four common marine plant species, Halimeda macroloba, Ceratodictyon spongiosum, Padina sp. , and Enhalus acoroides were investigated at the University of the Philippines Visayas Marine Biological Laboratory, located in Taklong Island National Marine Reserve (TINMR), Guimaras. Two food choice experiments were conducted; choice feeding and no-choice feeding. The outcome of choice feeding experiments, expressed as consumption (in g) and percent consumption (%), were used to determine its feeding preferences. The two most preferred feeds determined were then used in no-choice feeding experiment to measure its consumption rate (g⸱echinoid-1⸱hr-1). Results of the choice feeding experiment show that D. setosum significantly prefers C. spongiosum (4.83 ± 2.56 g consumption or 32.2%) and H. macroloba (3.73 ± 2.27 g or 24.8%), and avoids E. acoroides (only 0.17 ± 0.22 g or 1.13%) (F= 5.423, p < 0.05). The no-choice feeding experiment between preferred feeds show H. macroloba was consumed more (0.22 ± 0.16 g⸱echinoid-1⸱hr-1) than C. spongiosum (0.15 ± 0.05 g⸱echinoid-1⸱hr-1) although there was no significant difference (p > 0.05) in consumption rate. Results of the no-choice feeding experiment may have been affected by poor water quality and are considered inconclusive. Nevertheless, the study supports the ecological role of D. setosum as an important herbivore that regulates certain macroalgal species in TINMR through its grazing activities.
Cross-lingual semantic parsing with categorial grammars

Humans communicate using natural language. We need to make sure that computers can understand us so that they can act on our spoken commands or independently gain new insights from knowledge that is written down as text. A “semantic parser” is a program that translates natural-language sentences into computer commands or logical formulas–something a computer can work with. Despite much recent progress on semantic parsing, most research focuses on English, and semantic parsers for other languages cannot keep up with the developments. My thesis aims to help close this gap. It investigates “cross-lingual learning” methods by which a computer can automatically adapt a semantic parser to another language, such as Dutch. The computer learns by looking at example sentences and their translations, e.g., “She likes to read books”/”Ze leest graag boeken”. Even with many such examples, learning which word means what and how word meanings combine into sentence meanings is a challenge, because translations are rarely word-for-word. They exhibit grammatical differences and non-literalities. My thesis presents a method for tackling these challenges based on the grammar formalism Combinatory Categorial Grammar. It shows that this is a suitable formalism for this purpose, that many structural differences between sentences and their translations can be dealt with in this framework, and that a (rudimentary) semantic parser for Dutch can be learned cross-lingually based on one for English. I also investigate methods for building large corpora of texts annotated with logical formulas to further study and improve semantic parsers.
Automated Pipeline for Photovoltaic Module Electroluminescence Image Processing and Degradation Feature Classification

An automated data analysis pipeline is developed to preprocess electroluminescence (EL) module images, and parse the images into individual cells to be used as an input for machine learning algorithms. The dataset used in the study includes EL images of three 60 cell modules from each of five commercial brands at six steps of damp heat exposure, from 500 to 3000 h. Preprocessing of the original raw EL images includes lens distortion correction, filtering, thresholding, convex hull, regression fitting, and perspective transformation to produce planar indexed module and single cell images. Parsing of PV cells from each of the preprocessed 90 EL module images gives us 5400 cell images, which are function of module brand and damp heat exposure step. From the dataset, two unique degradation categories (“cracked” and “corroded”) were observed, while cells that did not degrade were classified as “good. ” For supervised machine learning modeling, cell images were sorted into these three classes yielding 3550 images. A training and testing framework with 80:20 sampling ratio was generated using stratified sampling. Three machine learning algorithms (support vector machine, Random Forest, and convolutional neural network) were trained and tuned independently on the training set and then given the test set to predict the scores for each of the three models. Five-fold cross validation was done on training set to tune hyper-parameters of the models. Model prediction scores showed that convolutional neural network outperforms support vector machine and Random Forest for supervised PV cell classification.
Validity of the Polar M430 Activity Monitor in Free-Living Conditions: Validation Study

Background Accelerometers, often in conjunction with heart rate sensors, are extensively used to track physical activity (PA) in research. Research-grade instruments are often expensive and have limited battery capacity, limited storage, and high participant burden. Consumer-based activity trackers are equipped with similar technology and designed for long-term wear, and can therefore potentially be used in research. Objective We aimed to assess the criterion validity of the Polar M430 sport watch, compared with 2 research-grade instruments (ActiGraph and Actiheart), worn on 4 different locations using 1- and 3-axis accelerometers. Methods A total of 50 participants wore 2 ActiGraphs (wrist and hip), 2 Actihearts (upper and lower chest position), and 1 Polar M430 sport watch for 1 full day. We compared reported time (minutes) spent in sedentary behavior and in light, moderate, vigorous, and moderate to vigorous PA, step counts, activity energy expenditure, and total energy expenditure between devices. We used Pearson correlations, intraclass correlations, mean absolute percentage errors (MAPEs), and Bland-Altman plots to assess criterion validity. Results Pearson correlations between the Polar M430 and all research-grade instruments were moderate or stronger for vigorous PA (r range .59-.76), moderate to vigorous PA (r range .51-.75), steps (r range .85-.87), total energy expenditure (r range .88-.94), and activity energy expenditure (r range .74-.79). Bland-Altman plots showed higher agreement for higher intensities of PA. MAPE was high for most outcomes. Only total energy expenditure measured by the hip-worn ActiGraph and both Actiheart positions had acceptable or close to acceptable errors with MAPEs of 6.94% (ActiGraph, 3 axes), 8.26% (ActiGraph, 1 axis), 14.54% (Actiheart, upper position), and 14.37% (Actiheart, lower position). The wrist-worn ActiGraph had a MAPE of 15.94% for measuring steps. All other outcomes had a MAPE of 22% or higher. For most outcomes, the Polar M430 was most strongly correlated with the hip-worn triaxial ActiGraph, with a moderate or strong Pearson correlation for sedentary behavior (r=.52) and for light (r=.7), moderate (r=.57), vigorous (r=.76), and moderate to vigorous (r=.75) PA. In addition, correlations were strong or very strong for activity energy expenditure (r=.75), steps (r=.85), and total energy expenditure (r=.91). Conclusions The Polar M430 can potentially be used as an addition to established research-grade instruments to collect some PA variables over a prolonged period. However, due to the high MAPE of most outcomes, only total energy expenditure can be trusted to provide close to valid results. Depending on the variable, the Polar M430 over- or underreported most metrics, and may therefore be better suited to report changes in PA over time for some outcomes, rather than as an accurate instrument for PA status in a population.
Word Learning and Story Comprehension From Digital Storybooks

An emerging body of research examines language learning of young children from experiences with digital storybooks, but little is known about the ways in which specific components of digital storybooks, including interactive elements, may influence language learning. The purpose of the study was to examine the incidental word learning and story comprehension of preschool children after interactions with interactive and noninteractive versions of a digital storybook. Thirty preschool children were randomly assigned to one of two experimental conditions: interactive in which the story text was presented aloud and interactive features were present and not interactive in which the story text was presented aloud with no interactive features. After three sessions with the digital storybook, no group differences were observed between conditions on measures of word learning or story comprehension. Children in both groups demonstrated some learning of new words; however, gains were minimal, approximately one new word per child. This study contributes preliminary data to indicate that interactive components of digital storybooks may not be sufficient to facilitate language learning. Instruction, rather than incidental exposure, is likely necessary for meaningful language learning from digital storybooks.
Improved rotor flux observer for sensorless control of PMSM with adaptive harmonic elimination and phase compensation

In this paper, a sensorless control strategy of a permanent magnet synchronous machine (PMSM) based on an improved rotor flux observer (IFO) is proposed. Due to the unknown integral initial value and the high harmonics caused by current sampling and inverter nonlinearities, the flux linkage estimated by traditional rotor flux observer may be inaccurate. In order to address these issues, a self-adaptive band-pass filter (SABPF) is designed to eliminate the DC component and high-frequency harmonics of the estimated equivalent rotor flux linkage. Furthermore, in order to avoid that the design of PI parameter is influenced by the amplitude of equivalent rotor flux linkage, an improved phase-locked loop (IPLL) is employed to obtain the rotor speed and to normalize the estimated equivalent rotor flux linkage. In addition, angle shift caused by an SABPF is compensated to improve the accuracy of the estimated flux linkage angle. Besides, the parameter robustness of this method is analyzed in detail. Finally, simulation and experimental results demonstrate the effectiveness and parameter robustness of the proposed method.
Change of support effects in spatial variance-based sensitivity analysis

Variance-based global sensitivity analysis (GSA) aims at studying how uncertainty in the output of a model can be apportioned to different sources of uncertainty in its inputs. GSA is an essential ingredient in model building: it helps to identify model inputs that account for most of model output variability. Yet this approach is not really appropriate for spatial models, as it cannot describe how uncertainty interacts with another key issue in spatial modeling: the issue of model upscaling and change of spatial support. In many environmental models, the end-user is interested in the spatial average or sum of model output over a given spatial unit (e.g. the average porosity of a geological block). Under a change of spatial support, the relative contribution of uncertain model inputs to the variance of aggregated model output may change. We propose in this paper a simple formalism to discuss this question within GSA framework by defining point and block sensitivity indices. We show that the relative contribution of an uncertain spatially distributed model input increases with its covariance range and decreases with the size of the spatial unit considered for model output aggregation. Results are briefly illustrated by a simple example.
GALSR: Geographical Based Adaptive Lifetime Secure Routing Protocol For Wireless Sensor Network

Wireless sensor networks (WSNs) are potentially increased in research field due to their wide range of application. The topology of advanced WSNs form Multi-Hop WSNs. The Main issues in this topology is location based security and lifetime preserving in energy resources. In this paper, we projected a Geographical based Adaptive Lifetime Security Routing (GALSR) Protocol and GALSR Algorithm to improve the lifetime and security of WSNs. This algorithm enhanced with Greedy for Shortest path finder and Direct Random Propagation for Random Walking. We then determine that the energy consumption is rigorously disproportional to the uniform energy deployment for the given network topology, which greatly reduces the lifetime of the sensor networks. To resolve this issue, we introduce non-uniform energy deployment to optimize the lifetime and message delivery ratio under same energy resources and security. This energy balancing is set by Energy balance control (EBC) and security parameter using Metric Energy Balancer (MEB). We validate our finding in both Quantitative and Qualitative measures. Our quantitative measures is shown out of NetSim Simulator similarly our implementation is an best prove for our qualitative measures, Our proposed model shows that we achieved with increased Lifetime, Adaptive Security and Monetary efficient protocol.
Morphology: the base processor

One of the motivations behind the Lexical Integrity Hypothesis (LIH) was to draw a distinction between word structure and phrase structure as evidence for a separate morphological component. In this study, we claim that drawing such a line between morphology and syntax is not contingent on whether word structure can be built on purely morphological items; rather, the crucial issue seems to be whether an operation is manipulated by a dedicated morphological mechanism, and on the properties of the output(s). We start from the premise that morphological well-formedness cannot be derived from syntax: morphology (the word-formation component) must be autonomous with its own principles (as in Anderson 1992, Aronoff 1994, Beard 1995, Pounder 2000 among others). We then turn our attention to the function of morphology. We show that a morphological component responsible for creating and inflecting lexemes and performing activities upon syntactic and prosodic phrases is necessary. When performing its tasks, morphology uses base operations and provides the bases on which morphological processes (i.e. word-formation and inflection processes) operate. Moreover, we show that these bases can be stems, word-forms, syntactic constituents, and prosodic constituents. Thus one aspect of the LIH which does not allow postsyntactic morphology (No-Phrase Constraint, Botha 1983) must be eliminated so that we can account for both simple and complex outputs of morphology. We conclude that the fact that complex morphological expressions are possible does not necessarily show that there is no (need for a) morphological component. Rather, morphology is the only component in which base operations take place to generate word formations.
Intrusive but not intruders. The processing of resumptive pronouns in Italian and English

In languages like English and Romance, resumptive pronouns (henceforth, RPs) are generally considered intrusive (Sells [1984]). On the one hand, they feature a low degree of acceptability, especially when compared to their gapped counterpart (as in (1)). On the other hand, they are often produced in spoken language and supposedly improve in situation of high processing pressure such as islands violations (in (2)) and complex dependencies (in (3)). The judgments reported here are from Erteschik-Shir [1992].
Yeni Bir Mesleki Oluşum : Okul Kütüphanecileri İstanbul Grubu

Bu yazinin amaci, Okul Kutuphanecileri Istanbul Grubu nu tanitmak ve grup ta­rafindan gerceklestirilen calismalara meslektaslarimizla ve kamuoyunla paylas­maktir Bu cercevede; grubun varolus sureci, ilke ve hedefleri, yapisi ve degerle­ri, stratejiler ile bugune dek gerceklestirilen toplantilar ve bu toplantilarda dile getirilen gorusler, oneriler ve alinan kararlar hakkinda ayrintili bilgilere yer ve­rilmektedir. Bir sivil toplum projesi olarak da degerlendirilebilecek OKIG ve grup tarafindan gerceklestirilen! gerceklestirilecek calismalar; dayandigi isbirli­gi, paylasim, uretime ve cozume donuk olma, bireysellikten daha ziyade “ortak akla onem verme” gibi nitelikleri ile dikkat cekmektedir. Bu calisma, ulkemizde­ki tum meslektaslarimiza ve ilgili tum kisi ve kurumlara yonelik bir paylasim ve bilgilendirme cabasi olmasinin yani sira, birlikte uretmeye ve paylasmaya acik bir davet niteligi de tasimaktadir. Bir ilki yasamak ne kadar keyifliyse onu anlatmak da bir o kadar keyifli ama zordur aslinda. Her seyi ama her seyi anlatmak istersiniz yasananlara dair. Ilk he­yecanlarin, verilen ozverili cabalarin sorumlulugunu tasimak gerekir cunku. Asagida, kutuphaneciligimizin cok ozel, ozel oldugu kadar da boslukta birakil­mis bir alanina yonelik bir sivil toplum uygulamasinin, okul kutuphanelerinde calisan meslektaslarimizin kendi mesleklerini sahiplenme duygusunu ve bu duy­gunun yasama gecirilisinin oykusunu bulacaksiniz.
Continuous Iteratively Reweighted Least Squares Algorithm for Solving Linear Models by Convex Relaxation

In this paper, we present continuous iteratively reweighted least squares algorithm (CIRLS) for solving the linear models problem by convex relaxation, and prove the convergence of this algorithm. Under some conditions, we give an error bound for the algorithm. In addition, the numerical result shows the efficiency of the algorithm.
Presentation of HVA Faults in SONELGAZ Underground Network and Methods of Faults Diagnostic and Faults Location

Power supply networks are growing continuously and their reliability is getting more important than ever. The complexity of the whole network comprises numerous components that can fail and interrupt the power supply for the end user. Underground distribution systems are normally exposed to permanent faults, due to specific construction characteristics. In these systems, visual inspection cannot be performed. In order to enhance service restoration, accurate fault location techniques must be applied. This paper describes the different faults that affect the underground distribution system of SONELGAZ (National Society of Electricity and Gas of Algeria), and cable fault location procedure with Impulse Reflection Method (TDR), based in the analyses of the cable response of the electromagnetic impulse, allows cable fault prelocation. The results are obtained from real test in the underground distribution feeder from electrical network of Energy Distribution Company of Souk-Ahras, in order to know the influence of cable characteristics in the types and frequency of faults. Keywords— Distribution networks; Fault location method; TDR; Underground cable; Fault detection.
Application of a Parallel Particle Swarm Optimization-Long Short Term Memory Model to Improve Water Quality Data

Water quality data cleaning is important for the management of water environments. A framework for water quality time series cleaning is proposed in this paper. Considering the nonlinear relationships among water quality indicators, support vector regression (SVR) is used to forecast water quality indicators when some indicators are missing or when they show abnormal values at a certain point in time. Considering the time series of water quality information, long short-term memory (LSTM) networks are used to forecast water quality indicators when all indicators are missing at a certain point in time. A parallel model based on particle swarm optimization (PSO) and LSTM is realized based on a microservices architecture to improve the efficiency of model execution and the predictive accuracy of the LSTM networks. The performance of the model is evaluated in terms of the mean absolute error (MAE) and root-mean-square error (RMSE). Inlet water quality data from a wastewater treatment plant in Gaobeidian, Beijing, China is considered as a case study to examine the effectiveness of this approach. The experimental results reveal that this model has better predictive accuracy than other data-driven models because of smaller MAE and RMSE and has an advantage in terms of time consumption compared with standalone serial algorithms.