Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance Evaluation Models for Stress and Stretch of Overlay Network Multicast

It is presented the stress equilibrium model and the stretch eigen-value model for evaluating the performance of overlay network multicast protocols. The stress equilibrium model uses the discrepancy criteria of uniformity measurement to measure the distribution of stress in multicast trees. By looking for the areas where stretch values are dense, the stretch eigen-value model judges optimization degree of multicast paths. Experiments results based on simulations show that the two models can reflect the performance of stress and stretch well for multicast protocols with overlay network.
ROBUST OUTLIER DETECTION TECHNIQUES FOR SKEWED DISTRIBUTIONS AND APPLICATIONS TO REAL DATA

Most of the data sets belonging to the real world contain observations at the extremes that might not be in conformity with the remaining data set.These extreme observations known to be outliers might have positive or negative effect on the data analysis like regression estimates, forecasting and ANOVA etc.Outliers are powerful tools to identify the most interesting events of the world in cross sectional data and historically important events can be picked by detecting outliers in time series data sets.Numerous outlier detection techniques have been proposed in the literature.This study provides a survey of these techniques and their properties.Most of these techniques work well under the assumption that data come from a symmetric distribution and these techniques fail to work in skewed distributions.Because of this limitation, Hubert and Vandervieren (2008) proposed a technique for outliers detection in skewed data sets. Our thesis presents a new technique to measure robust skewness (SSS) and a new outlier detection technique (SSSBB) for skewed data distributions. The study shows that the proposed technique measures skewness more accurately than existing techniques and the proposed technique for outliers detections works better than Huberts technique on a class of theoretically skewed and symmetric distributions.The study also compares the technique with other established outlier detection techniques in the literature.This study uses simulation technique for computer generated distributions and some real data sets for comparison purposes.The study also analyzes real life data sets and compares the baby birth weight data and stock returns, both of which are known to be skewed.These results will help us in making a choice of appropriate outlier detection technique for skewed data sets for different sample sizes which might be helpful in identifying underweight babies.
Running Time Comparison of Two Realizations of the Multifractal Network Generator Method

Over the last decade a lot of common properties were found in complex networks in several fields such as sociology, biology and computer engineering. Recently, the multifractal network generator method has been developed, and it seems to be a promising way to generate networks with prescribed statistical properties. For educational purposes, however, it would be adequate to create an easy-to-use redevelopment framework. Therefore, a software package had been developed in Python language that can generate a network with a given degree distribution or a given average degree using the multifractal generator method. This package is a part of the cxnet framework, which itself is suitable for educational applications. The present paper discusses the reasons why this framework was developed in Python. Those parts of the program that need longer running times were identified and rewritten in C++. Running times of the generations were measured, changing several parameters, and the new version turned out to be an order of magnitude faster.
MP3Stego Hiding and Detecting Research

Information hiding is the art and science of communicating in such a way that the presence of a message cannot be detected. It can be used for secret communicating and copyright marking and receives more attention from the research community and from industry today. This paper introduced the audio information hiding techniques first, with an emphasis on MP3Stego, then introduced the existing MP3Stego attacking and detecting techniques. After analyzing the properties of MP3Stego, a new detecting method was found. This method can detect mp3 files produced by MP3Stego correctly by calculating the statistic of part23 and stuffingBits in mp3 files. The experiments proved that this method is effective and can be used to detect MP3Stego.
Voltage Control Strategies for Static Synchronous Compensators under Unbalanced Line Voltage Sags

Static synchronous compensators have been broadly employed for the provision of electrical ac network services, which include voltage regulation, network balance, and stability improvement. Several studies of such compensators have also been conducted to improve the ac network operation during unbalanced voltage sags. This paper presents a complete control scheme intended for synchronous compensators operating under these abnormal network conditions. In particular, this control scheme introduces two contributions: a novel reactive current reference generator and a new voltage support control loop. The current reference generator has as a main feature the capacity to supply the required reactive current even when the voltage drops in amplitude during the voltage sag. Thus, a safe system operation is easily guaranteed by fixing the limit required current to the maximum rated current. The voltage control loop is able to implement several control strategies by setting two voltage set points. In this paper, three voltage support control strategies are proposed, and their advantages and limitations are discussed in detail. The two theoretical contributions of this paper have been validated by experimental results. Certainly, the topic of voltage support is open for further research, and the control scheme proposed in this paper can be viewed as an interesting configuration to devise other control strategies in future works.
Technologies of Hand Gesture Recognition Based on Vision

Computer has been widely used in all parts of people's daily life.The study of the mutual relationship between people and computer has also become the focus of the scientific research.The ability for computer to visually recognize hand gestures is essential for future human-computer interaction.Moreover hand gesture recognition based on vision can promote the sign language recognition development.Sign language recognition can eliminate the exchange barrier between healthy person and deaf-mute,which enables them to obtain the healthy person's normal life,helps them to take part in social activity.Presents the development,technical difficulty and elaborates the system principle and the composition of hand gestures recognition based on vision.Moreover,introduced the modeling of hand gesture and the technique of hand gestures recognition.
Genetic simulated annealing algorithm for resource-constrained project scheduling problem

A novel hybrid meta-heuristic algorithm,entitled as RCPSPGSA,is proposed for solving the Resource-Constrained Pro-ject Scheduling Problem(RCPSP). The algorithm incorporates the Simulated Annealing algorithm(SA) into genetic algorithm in or-der to improve local searching performance and boost up evolution capability.In each evolution iteration GA generates a new temporary population,and after that SA is used for improving every individual in it and at the mean time the next gap popula-tion is generated.For the sake of keeping the same convergence direction and speed of GA and SA,the cooling procedure occurs at the end of each evolution iteration.Simulation experiments are performed on the standard project instance sets of PSPLIB,and orthogonal experiment method is introduced to solve the parameter selection problem.Parameter combinations selected by this method are proved to be outperformed.Experimental results show that RCPSPGSA improves solution quality for J30,J60,J90 sets and not bad for J120.
Study on the Construction of CCD

After the establishment of the specification of the knowledge-base, the author puts forth an evolutive model of the construction of CCD, a bilingual Chinese-English WordNet. A characteristic of this new model is to emphasize the inheritance and transformation of the existing monolingual knowledge-base during the construction of the bilingual one. The bilingual knowledge-base just comes into being through the lexicographer's online translations and visualized operations; hence the efficiency and quality of the construction are highly improved. This approach is a language-independent one and actually brings forward a general solution to the construction of the bilingual WordNets in all nations. For this model, the author designed and eventually realized the auxiliary construction tool VACOL. The ICL (the Institute of Computational Linguistics) has benefited a lot by employing this tool to construct CCD in Peking University.
Multi-channel dereverberation for speech intelligibility improvement in hearing aid applications

Excessive reverberation and noise are detrimental for speech quality and can, in severe cases, degrade speech intelligibility. This problem particularly a ects individuals with hearing loss. Therefore, it is of practical interest to consider the use of dereverberation and denoising algorithms in digital hearing aids. In this dissertation we propose two such algorithms, one of which is designed for dereverberation and the other one, for joint dereverberation and denoising of speech. The proposed algorithms are based on the well-known multi-channel Wiener lter (MWF) and use maximum likelihood estimators (MLEs) of the power spectral densities (PSDs) of the target speech and the interfering reverberation. In both algorithms, the MWF and the PSD MLEs are derived based on the assumption that the late reverberation is isotropic and is uncorrelated with the target speech, whose direction of arrival (DoA) is known. By way of numerical simulations the proposed methods are demonstrated to work well in synthetic and in realistically simulated reverberation. Moreover, several instrumental measures indicate that the performance of the proposed algorithms is higher than that of a similar, recently proposed algorithm by Braun and Habets. This result can be explained by the fact that the mean square error of PSD estimation in the proposed algorithms is lower than in the competing algorithm. Nevertheless, comparison of the speech intelligibility resulting from the use of the proposed and the competing algorithm did not reveal statistically signi cant di erences between them. It is known that the MWF is sensitive to errors in the assumption on the target sound DoA. We investigate this notion by measuring several objective performance scores in a series of simulations where the simulated target DoA di ers from the one assumed in the algorithm. The experiments reveal that binaural con gurations of the algorithm (i.e. using microphones of the left and the right hearing aid) are far more sensitive to DoA errors than the bilateral con guration (i.e. using microphones of each hearing aid independently). Additionally, we compare the speech intelligibility obtained with the binaural and bilateral implementations of the proposed algorithm under the condition of correct DoA assumption. In this situation, the binaural con guration results in statistically signi cantly higher intelligibility than the bilateral con guration.
Bates' Berrypicking Model (1989, 2002, 2005)

Bates’ model integrated a biological and a socio-cultural perspective to argue that, in practice, information seeking does not follow a systematic search process but more commonly takes the form of “berry picking”, or finding information bit by bit using a range of sources. According to her theory, humans collect most of their information through passive, undirected behavior, while the remainder is generated using three types of behavior defined as monitoring, browsing and directed search. Bates argued that a process of sampling and selection that she refers to as “berry picking”, underlies most browsing and directed searches, and has evolved from traditional mating and foraging behaviors. The chapter discusses the diverse theoretical perspectives on which Bates’ model is based, and its key contributions to Information Science.
An analysis of subject agreement errors in English: the case of third year students at the national university of Lesotho

The purpose of the paper is to study the linguistic environments in which subject-verb agreement errors occur in students’ academic work. The paper also aims to find out if these errors were competence or performance errors. The study was conducted at the National University of Lesotho (NUL). The study had a two stage research design. In the first stage, students wrote a test in their field of study. In this test, no focus on subject-verb agreement was included. The test scripts were used to identify subject-verb agreement errors and the linguistic environments in which such errors occurred. In the second stage, a follow up test was given to the same group of students. They were given sentences which were a mixture of correct, incorrect and ambiguous sentences and were asked to evaluate the grammaticality of the sentences by putting a tick after the correct sentences and a cross after the incorrect ones. For the incorrect sentences they were to underline the error and give the correct answer. The main findings of the study were: subject-verb agreement errors are prominent in simple sentence constructions and in complex linguistic environments. The study also found that performance errors appear frequently in simple sentence construction (simple errors) while competence errors are found to be prominent in complex linguistic environments.
Design of Remote Sensing Information System for Monitoring Cyanobacteria Bloom in Taihu Lake Based on Interactive Data Language

The quickly monitoring of cyanobacteria bloom in Taihu Lake is significant to emergency response plan and the building remote sensing monitoring system can provide effective support.The system data are derived from MODIS Level 1B,and the system is designed based on interactive data language.The System configuration and plug-in techniques are used to implement system architecture,the middleware is designed to solve problem of communication between system architecture and IDL Draw Widget control,the model manager is designed to organize all model objects,the IDL display data structure is arranged to view and overlay vector data on image based on relative image coordinate system.Image matching and affine transform methods are adopted to remove MODIS bowtie and perform the geometric correction.Based on these techniques,cyanobacteria bloom spatial distribution information is automatically extracted from pretreated image data using the remote sensing inversion model,eventually achieving remarkable results in monitoring cyanobacteria bloom in Lake Taihu when running the information system.
Molecular Responses to Whole-Body Dehydration in a Sequenced Vertebrate, Xenopus Laevis: Regulation of Antioxidants and Metabolism by the Sirtuin Protein Deacetylases

Whole-body dehydration in the African clawed frog, Xenopus laevis, increases hematocrit and blood viscosity, which restrains oxygen delivery. This causes the resting heart rate, differences in arterio-venous blood oxygen contents, and whole-animal lactate to increase. I hypothesized that dehydration involves changes in cellular signaling through alterations of protein posttranslational acetylation, which can increase antioxidants and regulate metabolism. Seven Sirtuin (Sirt) protein deacetylases were profiled at the mRNA level with RT-qPCR in 6 tissues (liver, muscle, heart, kidney, brain, and lung) of X. laevis under control versus dehydration conditions. At least some sirt transcripts increased in all tissues except for kidney and brain. Similarly, global Sirt activity assays found that Sirt deacetylase activity increased in liver, muscle, heart, and lung. Western blots revealed the relative levels of Ac-SOD2. Results showed that acetylated SOD2 decreased with whole-body dehydration in the lung, heart, and kidney, suggesting that Sirt3 deacetylase activity is triggered by dehydration to activate antioxidant activity in these tissues. Sirt/PGC-1α/FoxO-mediated upregulation of antioxidants was investigated in lung and brain of X. laevis. Results showed upregulations of these three controllers of antioxidants in lung (but not brain) during dehydration, as evidenced by analyses at the mRNA, protein, and phospho-protein levels. Results suggested that dehydration-induced antioxidant upregulation in X. laevis was mediated by Sirts, in addition to PGC-1a and the FoxO1/3 transcription factors in a tissue-specific manner. Antioxidant capacity assays showed that lung sustained a decrease in antioxidant capacity during dehydration, which suggests that the Sirt/PGC-1α/FoxO response may be a compensatory one to restore antioxidants levels. In the liver, muscle, and heart, PGC-1α and Hif-1α were assessed for their roles in activating ureagenesis, angiogenesis, and remodelling of the metabolism. MEF2-mediated PGC-1α upregulation occurred in the liver, but not the muscle or heart, whereas Hif-1α increased in all 3 tissues with dehydration. Relative mRNA levels of genes related to glucose metabolism, angiogenesis, ureagenesis and β-oxidation were found to be differentially regulated in response to dehydration. Together, the results suggest that PGC-1α and Hif-1α are modulating gene expression during dehydration to suppress β-oxidation in favour of glycolysis, while ureagenesis and angiogenesis are promoted in liver.
Two-photon absorption in perylene and its derivative

Abstract Two-photon absorption and two-photon absorption cross-section of perylene and its derivative dissolved in chloroform and dimethyl sulfoxide were estimated using nonlinear transmission technique. It was found that the studied materials exhibit high two-photon absorption process in ps regime. The value of two-photon absorption cross-section of perylene derivative is higher by a factor of 3 compared to perylene. This fact could be due to longer conjugation length of molecule. However, no solvent effect was observed.
Optimizing structure and parameters of feedforward neural networks using hybrid particle swarm optimization

A new algorithm based on particle swarm optimization(PSO) and discrete particle swarm optimization(D-PSO) was proposed to optimize the topology and connection weights of artificial neural network(ANN) simultaneously.The topology of neural network was optimized by D-PSO and connection weights was optimized by PSO.The algorithm was successfully applied to fault diagnosis,it could eliminate some ill effects introduced by redundant structure of ANN.The experimental results show that the algorithm can obtain good diagnosis results.Compared with genetic algorithm,the algorithm can effectively improve the optimizing effectiveness for feedforward network structure and parameters.
Systematic Literature Review “Enterprise Systems Chartering” –Review Procedure and Analysis Results

Our research follows a design science approach to develop a method that supports the initialization of ES implementation projects – the chartering phase. This project phase is highly relevant for implementation success, but is understudied in IS research. We conducted a systematic review of ES implementation literature in order to derive design principles for a chartering method. This paper contains data and the analysis results from this systematic literature review. The research activity is described in the paper “Design Principles for an Enterprise Systems Chartering Method” (Berner, Gansen & Maedche, 2015) presented at Tenth International Conference on Design Science Research in Information Systems and Technology (DESRIST 2015) in Dublin.
Signals, Processes, and Systems: An Interactive Multimedia Introduction to Signal Processing

This is a very new concept for learning Signal Processing, not only from the physically-based scientific fundamentals, but also from the didactic perspective, based on modern results of brain research. The textbook together with the DVD form a learning system that provides investigative studies and enables the reader to interactively visualize even complex processes. The unique didactic concept is built on visualizing signals and processes on the one hand, and on graphical programming of signal processing systems on the other. The concept has been designed especially for microelectronics, computer technology and communication. The book allows to develop, modify, and optimize useful applications using DasyLab - a professional and globally supported software for metrology and control engineering. With the 3rd edition, the software is also suitable for 64 bit systems running on Windows 7. Real signals can be acquired, processed and played on the sound card of your computer. The book provides more than 200 pre-programmed signal engineering systems and design transparencies. Numerous introduction-videos, one for every chapter, and more than 250 high-quality figures come along with the learning system, as well as a visualization of all the "living" experiments and their results. With this learning system, readers can now make use of "equipment" and software. The new, 3rd edition many improvements, corrections and smaller additions, and a new chapter new chapter presenting a clear introduction to mathematical modeling of signals, processes, and systems.
Trajectographie passive bistatique en interception sonar

Il s'agit de trajectographier simultanement un sonar actif et une cible reflechissante a partir des mesures d'angles et de retards faites sur les signaux interceptes par un observateur passif. Bien que l'emetteur soit non cooperatif contrairement au cas classique du sonar actif bistatique, on montre que cette methode permet, dans certains cas, une amelioration sensible des resultats de localisation par rapport aux methodes habituelles de trajectographie passive.
An XML representation of the UNIMARC manual : a working prototype

The UNIMARC manual defines a standard for the formal representation of bibliographic information. For that purpose the UNIMARC manual contains different types of information: structural rules stating that records are composed of a leader, a set of control fields and a set of data fields, with certain syntactic characteristics; content rules, defining required fields and acceptable values for various components of the record; and, finally, examples, explanatory notes, and cross references to other points of the manual. Much of this information must find its way into computer systems where it will be used to validate records, produce indexes, adequately format records for display and, in some cases, provide human-readable help. Providing the UNIMARC manual in XML greatly simplifies the full implementation of the format in computer systems. Our goal was to produce a formal representation of the UNIMARC format so that the standard could be incorporated in software systems in a transparent way. The outcome is an XML representation of the UNIMARC manual, which can be processed automatically by applications that need to enforce the format rules, provide help information or vocabularies. We developed a scheme for the UNIMARC manual and a set of software tools that demonstrate its usage.
Intelligent control technique for ethylene plant

Intelligent techniques,such as artificial neural network,fuzzy inference logic and expert system,are used in several applications.These techniques are based on human intelligence and way of thinking.They do not need much system information.New ideas and methods are presented for resolving the key problems of complex control system.The intelligent techniques were used in ethylene plant.The intelligent system structure and application were demonstrated in thermal cracker,and the application results in the process were shown.The successful application illustrates that the intelligent techniques are very attractive in process control.