Miracle-dz/UniFAR-FTUs huggingface dataset:
Transit Bus Travel Time Prediction using AVL Data

- The prediction of transit bus travel times along corridors is critical in the planning and operation of buses, especially in urban areas. Bus patrons tend to have more confidence in a transit system if travel times can be adequately predicted, within a certain margin of error. Washington DC’s the transit agency, the Washington Metropolitan Authority (WMATA), recently equipped some of its fleet with Automated Vehicle Location (AVL) systems and Passenger Count Systems (PCS) to obtain data as buses travel along corridors. In this study, data from the AVL/PCS system on transit buses were used to develop a travel time model to predict how long buses travel along selected corridors in Washington DC. AVL and PCS data for a period of one-month during the summer of 2016 for eight arterial bus routes used was in this study. The advertised travel times for the selected corridors from the selected origins and destinations were also obtained. Based on the literature review, a number of variables were selected as input for the prediction of bus travel times. From the data analysis, it was determined that the number of passengers alighting, passengers boarding, number of access approaches and signalized intersections, significantly predicted transit bus travel time at 95% confidence interval. In addition, the bus travel time prediction model was determined to be statistically significant with validation tests indication model adequacy at 5% level of significance.
A Secure and Efficient Off-line Electronic Payment System for Wireless Networks

An electronic cash system allows the exchange of digital coins with value assured by the bank’s signature and with concealed user identity. In an electronic cash system, a user can withdraw coins from the bank and then spends each coin anonymously and unlinkably. In this paper we propose a secure and efficient off-line electronic payment system based on bilinear pairings and group signature schemes. The anonymity of the customer is revocable by a trustee in case of a dispute. Because the amount of communication in the payment protocol is about 480 bits, the proposed off-line electronic payment system can be used in wireless networks with limited bandwidth.
GENETIC AND PATHOGENIC DIVERSITY OF PSEUDOMONAS SYRINGAE pv. SYRINGAE ISOLATES ASSOCIATED WITH BUD NECROSIS AND LEAF SPOT OF PEAR IN A SINGLE ORCHARD

Ninety fluorescent pseudomonads obtained from pear cultivars Coscia and Tosca showing symptoms of bacterial blast were assessed by biochemical tests and pathogenicity on lemon fruits, and pear and lilac leaves. Presence of the syrB gene and ice-nucleation activity was also determined. In addition, genetic variability was assessed using repetitive sequence PCR with the BOX A1 primer. The patterns were analyzed with UPGMA and Dice’s coefficients. Eighty-nine isolates were determined as putative Pseudomonas syringae pv. syringae. Four genomic patterns, A, B, C and D, were obtained by BOX-PCR analysis. Patterns A and C were identical to those shown by other P. s. pv. syringae strains previously isolated from pear in other areas. Pattern B was associated solely with leaf spot symptoms observed on cv Coscia. The syrB gene was present in 38.8% of the isolates, whereas ice-nucleation activity was observed in 77.7%. Isolates possessing the syrB gene were the most aggressive in pathogenicity tests. Different populations of P. s. pv. syringae appear to be involved in inducing blast symptoms on pear in central Italy.
100-Gb/s 27-1 and 54-Gb/s 211-1 PRBS generators in SiGe bipolar technology

This paper presents two monolithic pseudorandom bit sequence (PRBS) generators. One circuit uses a seven-stage shift register operating with a half-rate clock and provides output signals up to 100 Gb/s. The second circuit contains an eleven-stage shift register operating with a full-rate clock up to 54 Gb/s. Both PRBS generators provide a wide range of data rates down to below 1 Gb/s simply by changing the frequency of the external clock signal without the need of any further adjustments. The integrated circuits provide a trigger output which can be switched between eye and pattern display. Furthermore, they contain additional circuitry to guarantee automatic start after power-on. The circuits are manufactured in a 200-GHz f T SiGe bipolar technology. They each have a chip size of 900 x 700 μm 2 and consume 1.5 and 1.9 W, respectively.
A comparative analysis of the fault characteristic of D-PMSG and DFIG

Based on PSCAD/EMTDC,simulation models of D-PMSG and DIFG are built.A comparative analysis of the fault characteristic between D-PMSG and DFIG is made.By use of PSCAD/EMTDC,the dynamic stability of D-PSMG and DIFG with considering grid-side fault is simulated.Simulation results show that: D-PMSG can provide mostly constant fault current and sent an amount of reactive power support to the grid when power failure;DFIG can take persistent fault current at the same time,but the current is at the attenuation characteristics.
Application of machine learning techniques to weather forecasting

El pronostico del tiempo es, incluso hoy en dia, una actividad realizada principalmente por humanos. Si bien las simulaciones por computadora desempenan un papel importante en el modelado del estado y la evolucion de la atmosfera, faltan metodologias para automatizar la interpretacion de la informacion generada por estos modelos. Esta tesis doctoral explora el uso de metodologias de aprendizaje automatico para resolver problemas especificos en meteorologia y haciendo especial enfasis en la exploracion de metodologias para mejorar la precision de los modelos numericos de prediccion del tiempo. El trabajo presentado en este manuscrito comprende dos enfoques diferentes a la aplicacion de algoritmos de aprendizaje automatico a problemas de prediccion meteorologica. En la primera parte, las metodologias clasicas, como la regresion multivariada no parametrica y los arboles binarios, se utilizan para realizar regresiones en datos meteorologicos. Esta primera parte, esta centrada particularmente en el pronostico del viento, cuya naturaleza circular crea desafios interesantes para los algoritmos clasicos de aprendizaje automatico. La segunda parte de esta tesis explora el analisis de los datos meteorologicos como un problema de prediccion estructurado generico utilizando redes neuronales profundas. Las redes neuronales, como las redes convolucionales y recurrentes, proporcionan un metodo para capturar la estructura espacial y temporal inherente en los modelos de prediccion del tiempo. Esta parte explora el potencial de las redes neuronales convolucionales profundas para resolver problemas dificiles en meteorologia, como el modelado de la precipitacion a partir de campos de modelos numericos basicos. La investigacion que sustenta esta tesis sirve como un ejemplo de como la colaboracion entre las comunidades de aprendizaje automatico y meteorologia puede resultar mutuamente beneficiosa y conducir a avances en ambas disciplinas. Los modelos de pronostico del tiempo y los datos de observacion representan ejemplos unicos de conjuntos de datos grandes (petabytes), estructurados y de alta calidad, que la comunidad de aprendizaje automatico exige para desarrollar la proxima generacion de algoritmos escalables.
A New Multiple Sequence Alignment Algorithm

Multiple sequence alignment is a common and important sequence analysis method in bioinformatics.We describe a new multiple sequence alignment al- gorithm that integrates progressive method with iterative strategy;introduces weight score function to avoid bias sequences;constructs guide tree using the neighbor-joining method to provide the alignment order.The 142 protein alignments in BAliBASE test the validation of the algorithm.The result compared with Multalin shows that the new algorithm improves the accuracy of divergent sequence alignment effectively.
A financial analysis of born-global firms: evidence from Spain

From the beginning of the 1970s to the present day, significant changes have taken place in the competitive and organizational behavior of small and medium-sized companies (SMEs). Recently, some of these factors have applied more intensively, and this has given rise to growth in the number of new companies that undertake overseas operations almost immediately (known as born globals). The phenomenon of early internationalization is relatively recent, so there are still many aspects that need to be studied. The objective of this study is to contribute to the scarce empirical literature existing in Spain on this topic, by providing evidence on the possible differences in character of the born-global firms compared with the rest of exporting companies. To this end, the focus of the study is on the analysis of variables such as the size and sector of activity of these companies, and their principal economic and financial magnitudes. A sample of 1,324 Spanish SMEs that were exporting in 2007 was surveyed; of this total approximately 12% identified themselves as having adopted early internationalization. The results obtained indicate that the born-global firms are, on average, smaller; they are classified mostly to the services sector; and they are much more leveraged than the rest of Spanish SMEs that export.
Opportunistic Routing in MultiHop Wireless Networks

This paper firstly introduces the detail of the Extremely opportunistic Routing (ExOR)protocol which is an integrated routing and MAC technique. After the evaluation of the performance of ExOR,a MAC-independent Opportunistic Routing Protocol (MORE) is introduced. The paper presents the MORE on the basis of the principle of Network coding and evaluation of the performance of MORE.
Clinical Examinations In Neurology

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A Network Traffic Monitor-Node Selection Algorithm Based on Triple Tag

Based on flow-conservation law,a network traffic monitor-node selection algorithm is proposed to effectively select the network traffic monitor-node.The problem of the monitor-node selection is regarded as a problem to find out the weak vertex cover of a graph.This algorithm marks all of the network nodes with the triple tags and recursively compares and replaces those triple tags.The network traffic monitor-nodes are selected by the final triple tags.Simulations show that the algorithm needs not to know the whole network topology.It can dynamically eliminate the unavailable network nodes to effectively solve the problem of the monitor-node selection.
A refinement of the well-founded Information Content models with a very detailed experimental survey on WordNet.

In a recent paper, we introduce a new family of Information Content (IC) models based on the estimation of the conditional probability between child and parent concepts. This work is encouraged by the nding of two drawbacks in the computational method of our aforementioned family of IC models, as well as other two gaps in the literature. First gap is that two of our cognitive IC models do not satisfy the axiom that constrains the sum of probabilities on the leaf nodes to be 1, whilst some ontologies with multiple inheritance could prevent the IC model satisfying the growing monotonicity axiom in concepts with multiple parents. Second gap is the lack of a complete and updated experimental survey including a pairwise statistical signi cance analysis between most IC models and ontology-based similarity measures. Finally a third gap is the lack of replication and con rmation of previous methods and results in most works. The latest two gaps are especially signi cant in the current state of the problem, in which there is no convincing winner within the family of intrinsic IC-based similarity measures and the performance margin is very narrow. In order to bridge the aforementioned gaps, this paper introduces the following contributions: (1) a re nement of our recent family of well-founded Information Content (IC) models; (2) eight new intrinsic IC models and one new corpus-based IC model; and (3) a very detailed experimental survey of ontology-based similarity measures and Information Content (IC) models on WordNet, including the evaluation and statistical signi cance analysis on the ve most signi cant datasets of most ontology-based similarity measures and all WordNet-based IC models reported in the literature, with the only exception of the IC models recently introduced by Harispe et al. (2015a) and Ben Aouicha et al. (2016b). The evaluation is entirely based on a Java software library called HESML which has been developed by the authors in order to replicate all methods evaluated herein. The new IC models obtain rivaling results as regard the state-of-the-art methods and improve our previous mod- els, whilst the experimental survey allows a detailed and conclusive image of the state of the problem to be drawn by setting the new state of the art and quantifying the main achievements of the last three decades.
Milestones in the history of thematic cartography, statistica l graphics, and data visualization

The graphic portrayal of quantitative information has deep roots. These roots reach into histories of thematic cartography, statistical graphics, and data visualization, which are intertwined with each other. They also connect with the rise of statistical thinking up through the 19th century, and developments in technology into the 20th century. From above ground, we can see the current fruit; we must look below to see its pedigree and germination. There certainly have been many new things in the world of visualization; but unless you know its history, everything might seem novel.
FREE GROUP FACTORS AND HECKE OPERATORS

This is a note on Radulescu’s work taken by N. Ozawa. We first review the construction of the classical Hecke operator and recall the Ramanujan–Petersson conjecture about its spectrum. We then relate it to the study of a type II1 factor via Berezin calculus.
Deconstructing anthropology: First Annual Stephen F. Gudeman Lecture

This lecture makes a start at deconstructing some of anthropology’s most venerable avatars. Classical theories invoked a certain kind of person as the subject of anthropology. He was the savage, the tribal, the indigenous. More recently he became simply The Other. Always, he was our mirror opposite, ourselves turned upside down in a fairground mirror. And the theories that tried to explain this imaginary actor recycled a recurrent set of ideas and arguments about nature and culture, and savagery and civilization. If we are to return to the real world we must free our thinking of these imaginary dichotomies, and set aside the repetitive cycle of mythical transformations that they support. Begin with the recognition that we are very like the people we study. Then construct a cosmopolitan anthropology that will confront current theories, models and methods with the experience and the understanding of the people we live with as ethnographers.
Leveraging Compiler Alias Analysis To Free Accelerators from Load-Store Queues

Hardware accelerators are an energy efficient alternative to general purpose processors for specific program regions. They have relied on the compiler to extract instruction level parallelism but may waste significant energy in memory disambiguation and discovering memory level parallelism (MLP). Currently, accelerators either i) Define the problem away, and rely on massively parallel programming models [1, 48] to extract MLP. ii) Reuse the Out of Order (OoO) processor [7, 28], and rely on power hungry load-store queues (LSQs) for memory disambiguation, or iii) Serialize – some accelerators [47] focus on program regions where MLP is not important and simply serialize memory operations. We present NACHOS, a compiler assisted energy efficient approach to memory disambiguation, which completely eliminates the need for an LSQ. NACHOS classifies memory operations pairwise into those that don’t alias (i.e., independent memory operations), must alias (i.e., ordering is required between memory operations), and may alias (i.e., compiler is unsure). To enforce program order between must alias memory operations, the compiler inserts ordering edges that are enforced as def-use data dependencies. When the compiler is unsure (i.e., may alias) about a pair of memory operations, the hardware checks if they are independent. We demonstrate that compiler alias analysis with additional refinement can achieve high accuracy for hardware accelerated regions. In our workload suite comprising of SPEC2k, SPEC2k6, and PARSEC workloads; Across 15 applications NACHOS imposes no energy overhead over the function units (i.e., compiler resolves all dependencies), and in another 12 applications NACHOS consumes '17% of function unit energy (max: 53% in povray). Overall NACHOS achieves performance similar to an optimized LSQ and adds an overhead equal to 2.3× of compute energy.
Integrating Building Code Compliance Checking Into A CAD System

This paper outlines an integrated framework for a building design system capable of automatically building code compliance checking. Most previous studies have focused on the processing of design codes for conformance checking. In this work, the authors investigate 3D CAD (three dimensional Computer-Aided-Design) techniques to support automated code compliance checking during the design process. In particular, the paper addresses the following issues (1) Extraction of the knowledge from a building code document (e.g. International Building Code), and representation of the knowledge in a computerinterpretable format; (2) Data representation of building designs in a 3D CAD system. (3) Mapping building code information with building design information that enables the computer to assist designers with the automatic code compliance checking; and (4) Integration of the knowledge in building codes and the design knowledge into a computer framework. The proposed framework will be able to identify code requirements relevant to a particular building design and notify designers whether the design violates the building code.
Characterization and Some Biological Activity of A Flavonol Isolated from Cassia Occidentalis Leaves

From the ethyl acetate extract of the leaves Cassia occidentalis (Leguminoseae) a flavonol: 5,7,2',4'- tetrahydroxyflavonol(I) was isolated . The structure was elucidated via a combination of spectral techniques(UV,IR, 1 H NMR and MS ). The flavonol was evaluated in vivo for anti-inflammatory and anti-ulcer activity.Treatment of the animal models with compound I inhibited formaldehyde-induced oedema up to 93.99%. The flavonol also showed significant anti-ulcer activity.Treatment with compound I (30)min. before alcohol-induced ulcer completely suppressed ulcer.
Evaluating measurement error of a 3D movable body scanner for calibration

For the evaluation of measurement error of a 3D movable body scanner, a set of dimension-certified measurement equipment was introduced and its true dimensions were obtained. The evaluation and calibration models of height, breadth and depth measurement between measured values and true dimensions were established respectively and the error contours were derived. A verification experiment was conducted to determine the validity of these models. The accuracy of this scanning system can be improved by using the calibration models.
Recruitment modulation of force fields organized in the frog's spinal cord

Convergent force fields organized in the frog's spinal cord could be used as a new functional neuromuscular stimulation (FNS) technique to restore motor function using electrical stimulation of the spinal interneurons. We studied the recruitment modulation of these force fields to four parameters of the electrical microstimulation stimulus train. The parameters modulated were the stimulation frequency, the pulse duration, the pulse amplitude, and the train duration. We found that all four parameters can be used to modulate the force level, and that all the parameters but train duration also affect the force rate of rise. Furthermore, we found that the vectorial structure of the fields was not affected by the force modulation, as the normalized fields were nearly identical. These early results demonstrate the possibility of modulating the action of the fields while retaining their useful convergent property.
Pyrolysis Mass Spectrometry of Whole Cells, Cell Walls and Isolated Cell Wall Polymers of Bacillus subtilis var. niger WM

SUMMARY: Bacillus subtilis var. niger WM was grown in continuous culture under phosphate-limited and under magnesium-limited conditions. Whole cells, cell walls and the isolated wall polymers peptidoglycan, teichoic acid and teichuronic acid were analysed by Curie-point pyrolysis mass spectrometry. Characteristic ion peaks for the wall polymers were established and facilitated the interpretation of the mass pyrograms of walls and whole cells. The mass pyrograms of magnesium-limited cells showed the characteristic peaks for protein, peptidoglycan and teichoic acid. Phosphate-limited cells showed peaks characteristic of teichuronic acid instead of teichoic acid.
Desarrollo de un Sistema Emulador de Arreglos Fotovoltaicos en Tiempo Real Considerando Variaciones en las Condiciones Climáticas Development of a Photovoltaic Array Emulator System in Real Time Considering Climatic Conditions Variations

This paper presents the development of an emulator that has the ability to replicate, in real time, the behavior of photovoltaic panels (PV) arrays considering different conditions of irradiation and temperature for each one. The emulator consists of a data acquisition card, a programmable source and a computer. It is based on the bypass diode model that provides a better approximation to real operating conditions. The solution is computed by a simplified equation that uses the Lambert W function, which reduces the computation time. After that, it generates a solution table of values of current as a function of voltage on terminals, temperature and irradiation. Real-time emulation is performed by means of a search algorithm in the solutions table of the closest value to the voltage imposed on the terminals.
Comparative study of feature selection methods on microarray data

It is difficult to apply usual statistical pattern recognition techniques directly to microarray data, because the number of genes is too large in comparison with the number of available training samples. Therefore, one needs a powerful feature selection method for microarray data. In this paper, we compare the previously published feature selection method with the sequential forward selection (SFS) method and the Fisher criterion-based feature selection method on the microarray data of hepatocellular carcinoma (http://surgery2.med.yamaguchi-u.ac.jp/research/DNAchip/). Experimental results show that our method outperforms the SFS method and the Fisher criterion-based method in terms of the recognition rate.