Miracle-dz/UniFAR-FTUs huggingface dataset:
A computing method for accurate slice contours based on an STL model

The STL model has become a standard in rapid prototyping (RP) technology, but slice errors are high because of tessellation. To improve the precision of slice contours, a novel slicing method is presented to compute accurate contour curves based on an STL model. First, the normal vector of a triangle facet to be sliced is calculated. An interpolation curve between two vertices is constructed in a normal section to approximate the original curve in the normal section in terms of the position of the two vertices and the tangent vector at the two vertices. The exact points of the slice contour are obtained by calculating the intersection points between the interpolation curve and the slice plane. Finally, accurate smooth contours are achieved by fitting the intersection points with a cubic B-spline curve. The experimental results indicate that the presented slicing method improves the precision of cross contours.
Function Approximation Approach to the Inference of Neural Network Models of Genetic Networks

A model based on a set of diﬀerential equations can eﬀectively capture various dynamics. This type of model is therefore ideal for describing genetic networks. Several genetic network inference algorithms based on models of this type have been proposed. Most of these inference methods use models based on a set of diﬀerential equations of the ﬁxed form to describe genetic networks. In this study, we propose a new method for the inference of genetic networks. To describe genetic networks, the proposed method does not use models of the ﬁxed form, but uses neural network models. In order to interpret obtained neural network models, we also propose a method based on sensitivity analysis. The eﬀectiveness of the proposed methods is veriﬁed through a series of artiﬁcial genetic network inference problems.
Implementation of optical switches using Mach–Zehnder interferometer

Abstract. The efficient application of the Mach–Zehnder interferometer (MZI) structure for the construction of the well-known logic gates is described. It deals with the effect of the varying voltages of each electrode on the performance of MZI. It has been found that power transmission gets switched with the variation of voltage in the electrodes. The results are of prime importance for optical gate implementation as well as being useful in the signal router. There is a commercial demand of optical gates and signal routers in dense wavelength division multiplexing. The result is also verified by proper analysis using OptiBPM and matlab softwares.
The New Era of Risk Management: Collaboration across the Business, Risk, Compliance and Audit

Abstract Today's businesses change at a frantic pace and involve numerous information systems, ever evolving organizational structures and complex customer requirements. Therefore these days it is common to find diverse teams of business executives, internal auditors, fraud investigators and risk and compliance specialists–all pursuing tasks focused on assessing and improving risk management. Continuous auditing and monitoring technologies can be used to help execute existing risk management strategies while empowering frontline staff to actively enforce controls based on timely audit insights.
Efficient and Instant Transmission for Wireless Broadcast

An Opportunistic Network Coding (ONC) based transmission approach (OCRA) is proposed to improve the transmission efficiency in wireless broadcast scenario. OCRA combines as many as lost packets by adopting opportunistic coding strategy, and makes terminals retrieve lost packets from single retransmission packet thus improving transmission efficiency. The theoretical analysis and simulation results show the feasibility and effectiveness of proposed approach.
Identifying Large Flows Based on SDBF Algorithm in High Speed Network Measurement

It is very important in developing effective and efficient traffic engineering schemes for identifying large flows. In this paper, according to the characteristic of network flows, a new algorithm which combined by scalable bloom filter and dynamic bloom filter is proposed to realize elephant flows identification. This method can improve the performance of network measurement and the efficiency of the resource usage of measurement system by handling flows with different strategy according to its different feature. The theoretical analysis and the simulation result indicate that under the condition of existing some tolerable measurement error about the length of flows, our algorithm can identify elephant flows accurately, which reduce the storage space and improve the processing speed efficiently.
STRESS-ANALYSIS METHOD FOR OPTICAL WAVEGUIDES COMPOSED OF ELASTICALLY ANISOTROPIC MATERIALS AND ITS APPLICATION TO STRAIN-INDUCED OPTICAL WAVEGUIDES

In this paper we propose a new stress analysis method that can evaluate the residual thermal stress distribution in an optical waveguide with an elastically arbitrary anisotropy. We analyze the optical waveguide by taking into account the refractive index change obtained from stress analysis. A rigorous evaluation of the propagation characteristics in a strain-induced optical waveguide is now possible. Since the finite-element method is used for both the stress analysis and the optical waveguide analysis, the complex refractive index change obtained from stress analysis can be faithfully reflected in the optical waveguide analysis. Strain-induced optical waveguides with a SiO2/GaAs structure and a SiO2/LiNbO3 structure are chosen. The stress and strain in the waveguide and the change of the refractive index profile are obtained numerically and their effects on the transmission characteristics of the optical wave are studied. To the best of our knowledge, this is the first time that an optical waveguide analysis has been carried out from stress analysis taking into account an anisotropy. © 1998 Scripta Technica, Electron Comm Jpn Pt 2, 81(5): 16–23, 1998
Muscle Contraction Interference In Acceleration Vibroarthrography

Vibroarthrography (VAG) is a noninvasive technique to detect vibration signals from the knee joint for the diagnosis of articular cartilage diseases. To improve the quality of VAG signals and to extract relevant information from them, possible sources of artifacts such as muscle contraction interference (MCI) were investigated by using a multi-channelvibration detection system. Analysis of the signals indicates that signal power and median frequency of VAG signals are affected by MCI. Our findings suggest that monitoring and reduction of MCI is necessary in order for vibroarthrography to be clinically useful.
Structural analysis and Cognitive activity, Towards Real-Time Methods in Musical Analysis

Structuralism and cognitivism have been confronted in their attempt to provide a method to musical analysis. The aim of musical analysis appears to be the description and explanation of the relations between the events constitutive of a work (internal analysis) and between those events and other fields (external analysis). Similarity and grouping appears to be the main kind of relations for internal analysis. This capacity of joining up events has to be related to the cognitive processes involved in the act of listening. A real-time procedure allowing to give account of those relations is proposed and illustrated with an example taken from Mozart’s last Piano Sonatas. The way this analysis is performed provides a description of the cognitive activity suggested by the score according to “cognitive phases” specified at each level of the structure. It allows to give a global conceptual frame for the analysis of any kind of music, but also a model for listening able to take into account different kind of listeners.
Error rate evaluation of wireless infrared links

A novel approach to the evaluation of bit error rate performance for directive optical wireless links, which takes into account shot noise, fluorescent lighting and intersymbol interference (ISI) is presented. The evaluation technique is based on nonclassical Gauss quadrature rules, with the fluorescent light and the ISI from high pass filtering being modeled mathematically. As an application of this method the BER performance of NRZ-OOK and Manchester modulation has been evaluated and numerical results are presented. It is shown that Manchester modulation is quite robust in combating fluorescent lighting interference and its performance is not critical on the selection of the HPF cutoff frequency.
Prevalence of dementia over age 100

All nine persons aged 100 or older in a Dutch town with some 100,000 inhabitants were examined by means of cognitive tests, informant questionnaires, and clinical interviews. Formal testing was difficult in most subjects because of visual, auditory, and motor handicaps. By combining the results of cognitive tests and clinical examinations, a diagnosis of moderate to severe dementia could be made in eight subjects. One subject was not examined but by informant questionnaire was found to be mildly demented.
Use of EMI response coefficients from spheroidal excitation and scattering modes to classify objects via SVM

Electromagnetic induction (EMI) has been shown to be a promising technique for unexploded ordnance (UXO) detection and discrimination. The excitation and response of a UXO or any other object to EMI sensors can be described in terms of scalar spheroidal modes consisting of associated Legendre functions. The spheroidal response coefficients Bjk correspond to the kth spheroidal response to the jth spheroidal excitation. The Bjk have been shown to be unique properties of an object, in that objects producing different scattered fields must be characterized by different Bjk. Therefore, the Bjk coefficients may be useful in discrimination. We use these coefficients rather than dipole moments because they are part of a physically complete, rigorous model of the object's response. Prolate spheroidal coordinate systems recommend themselves because they conform most readily to the proportions of objects of interest. In clearing terrain contaminated by UXO, the ability to distinguish larger buried metallic objects from smaller ones is essential. Here, a Support Vector Machine (SVM) is trained to sort objects into different size classes, based on the Bjk. The classified objects include homogeneous spheroids and composite metallic assemblages. Training a SVM requires many cases. Therefore, an analytical model is used to generate the necessary data. In simulation studies, the SVM is very successful in classifying independent sets of objects of the same type as the training set. Furthermore, we see that the Bjk are not related to size or signal strength of the object in any simple or visually discernible way. However, SVM is still able to sort the objects correctly. Ultimately, the success of the SVM trained with synthetic (model derived) data will be evaluated in application to data from a limited population of real objects, including UXO.
Spectrum analysis and min-cut transformation of communication networks in parallel computers

We present a formal model for the analysis of communication networks in parallel computers. Unlike most others, our model focuses on the transmission delays as opposed to the propagation delays of communication patterns. The model allows all symmetric communication networks to be examined by their spectrums and characterized by their transmission dimensions. A min-cut transformation is introduced as a tool for the spectrum analysis, which reduces any symmetric network to the same canonical form. Parallel architectures with different topologies can then be easily compared and evaluated. <<ETX>>
Virtual Coordinates Based Routing in Wireless Sensor Networks

Recently, position-based routing protocols have been proposed for efficient data dissemination in sensor networks. Routing of packets is done based on the positions of nodes in the neighbor table. One node is selected as a next hop according to the applied routing strategy, e.g., distance-based strategy or direction-based strategy. This paper proposes a virtual coordinates based routing (VCR) scheme, which adopts a new criterion based on virtual coordinates converted from the absolute coordinates. The results of extensive simulation experiments show that VCR achieves an efficient trade-off between energy consumption and end-to-end delivery latency. The overall performance of VCR in terms of energy consumption and end-to-end delivery latency is better than that of both conventional distance-based and direction-based algorithms.
A Method Based on Support Vector Machine for Feature Selection of Latent Semantic Features

Latent Semantic Indexing(LSI) is an effective feature extraction method which can capture the underlying latent semantic structure between words in documents. However, it is probably not the most appropriate for text categorization to use the method to select feature subspace, since the method orders extracted features according to their variance,not the classification power. We proposed a method based on support vector machine to extract features and select a Latent Semantic Indexing that be suited for classification. Experimental results indicate that the method improves classification performance with more compact representation.
Teachers’ use of technology and its influencing factors in Korean elementary schools

Until now, research on technology integration in K–12 settings focused on revealing factors that influence technology use in the classroom by teachers has not paid much attention to what teachers recognise and why they incorporate technology in the classroom. Thus, this study aims to investigate how teachers recognise important factors that influence quality technology integration and how teachers use technology in Korean schools, using closed- and open-ended items and verbatim quotes of teachers’ responses to a series of open-ended questions. The results indicate that teachers’ use of technology in practice is affected by the multidimensional characteristics of schools; hence, support of technology use therein should be improved. Teachers’ aptitude, disposition and attitudes toward technology are the most important factors for ICT-related instruction. Additionally, the answers given by the cohort to the open-ended questions help to explain the specific educational context in the Republic of Korea. Teachers report using technology largely because it provides personal convenience; additionally, the use of third-party content providers’ websites by teachers emerges as a substantial issue in the area of technology integration in the classroom.
[Implementation of the strategy "Clean Care is Safer Care" in a third level hospital in Medellín, Colombia].

INTRODUCTION Hand hygiene is the most cost-effective and simple measure of preventing healthcare associated infections (HAI). The approach to improve low compliance must be through multimodal interventions such as the "Clean Care is Safer Care" strategy (WHO). AIM To estimate the efficacy of a multimodal strategy in improving hand hygiene in five wards of a tertiary care hospital in Medellín, Colombia (2008-2010). METHODS Quasi-experimental before-after study. RESULTS Hand hygiene compliance significantly increased after the intervention (82 to 89%, p = 0.007). The knowledge score increased from a median of 26 (IQR=22-28) to 30 (IQR=26-32, p = 0.001). Alcohol-based hand rub consumption increased significantly from 10.5 liters to 58.1 liters per 1000 patient-days [incidence ratio (IR) = 2.39, 95% CI = 1.99; 2.88]. Monthly HAI rates showed no significant variations during the same period [IR = 0.90, 95% CI = 0.71; 1.13]. DISCUSSION This and other recent studies demonstrate that implementing a multimodal strategy for hand hygiene significantly increases compliance with this measure, irrespective of type of health worker or hospital department. CONCLUSIONS Implementing a multimodal strategy we achieved significant increases in hand hygiene compliance but mild or no significant variations in monthly HAI rates.
Isolation Amplifier Circuits for Sensing and Feedback of the Inverter DC-Link Voltage

This study proposes an isolation amplifier circuit for the sensing and feedback of inverter DC-link voltage, which is inevitable for the precise control of inverter output voltage. The isolation amplifier consists of a pulse-width modulator and a pulse transformer with dual secondary windings. The accuracy of the proposed circuit depends on the precise matching of filter parameters in dual secondary circuits. The influences of parameter inaccuracy on the amplifier performances are analyzed. A modified circuit is proposed to reduce the dependency on filter parameters. The validity of the proposed method is verified through simulation and experiment.
Learning in the Virtual World: the Pedagogical Potentials of Massively Multiplayer Online Role Playing Games

A much more attractive way to use the internet was discovered. Users are represented by avatars in the fantasy persistent 3D world, and the avatars apparently come to occupy a special place in the hearts of their creators (Castronova, 2001). At present, millions of people worldwide have accounts to some kind of virtual environments. Virtual world may soon become the primary venue for all online activities (Castronova, 2001) including learning. Imagine that one can gain knowledge and skills by social interactions in virtual worlds. A massively multi-student online learning environment (MMOLE) is a pedagogically designed space where students would spend much time learning online by doing and interacting with others. Furthermore, massively multiplayer online games (MMOGs) or massively multiplayer online role playing games (MMORPGs) allow individuals, through their avatars, to learn in the service of games goals and through problem solving and collaboration. This article aims at exploring the pedagogical potentials of virtual worlds. The strengths and weaknesses will be outlined and some of the issues will be discussed through case studies. Hopefully, lessons can be learned and the future virtual worlds can become a more powerful and effective environment to engage students in learning.
Vector control of induction motor by a spiral vector theory

In this paper the authors propose a vector control of induction machine by the spiral vector theory. This method permits to establish the performance equations of the induction machine in function only one phase variables of the stator and rotor. The equations obtained are basically used in the field oriented control. The simulation results give a good decoupling between the air gap flux and electromagnetic torque and it is sufficient to track one voltage (or current) quantity to make the regulation in the case of direct vector control of induction machines.
Prediction of secondary structures for large RNA molecules

research and course work throughout my MSCS degree. I am deeply grateful to him for providing the great opportunity of working in High Performance Computing area and supporting financially from the beginning to the end, inspite of being a Masters student, so that I could focus on the research work entirely. He always encouraged me, either be it a difficult situation or an accomplishment. I am thankful to him for developing my continued interest in this interdisciplinary area of research. He will continue be an ideal role model for my professional career. I would like to thank my Co-advisor Professor Christine E. Heitsch for guiding me throughout the entire course of this research. I am grateful to her for helping me in developing the understanding of a new interdisciplinary research area. She is the principal investigator of the NIH grant supporting this work. She devoted significant time for discussing the difficulties, I faced during the work. Her course on " Discrete Mathematical Biology " introduced me to the mathematical aspects of this work and also to the other computationally and mathematically challenging biological problems. I am thankful to Professor Stephen C. Harvey for introducing me to the biological aspects of the RNA molecules and their secondary structures. His inputs were really helpful for making the work useful for biological community. Discussions with him provided me the most fruitful directions for proceeding ahead. I am grateful to him for being always available for the discussions. David, Christine and Steve play a very important role in establishing this work as a successful research and it was not possible to have this work done without their iv support and guidance. I am grateful to Professor Richard Vuduc for discussing various approaches for parallelization of GTfold and serving as a committee member. The discussion and his guidance were very helpful in making progress. His course on " Parallel Numerical Algorithms " increased my understanding of handling various issues involved in parallelization.
VIDEO STREAMING PERFORMANCE UNDER WELL - KNOWN PACKET SCHEDULING ALGORITHMS

Video streaming is becoming increasingly popular among the wireless users. However, supporting video streaming over the wireless networks is not an easy task due to the dynamic radio propagation environment, limited radio resources as well as Quality of Service (QoS) requirements of the video streaming that need to be satisfied at acceptable levels. Most studies proposed to support video streaming are computationally expensive to be used in Orthogonal Frequency Division Multiple Access (OFDMA) based wireless IP networks. This paper evaluates video streaming performance under three well-known algorithms that are more practical to be used in the OFDMA based wireless IP networks due to their reduced complexity. It is demonstrated via computer simulation that Proportional Fair (PF) algorithm outperforms other well-known algorithms by providing video streaming QoS at acceptable levels whilst maximizing cell throughput.
The Research of the Web Service Test Model

Web Service involves many participants including service developers, providers, UDDI, and clients, and provides a kind of distributed architecture model. Different participants of the web service own different resource related to the service, so, the test method they use will be also different. From the perspective of service users, the paper proposes a service test model. The model is mainly consist of three sub-models including the user requirements model, the WSDL model, and the generation model of the test cases. Users can make a function test by using the model only with the WSDL document. According to the test model, a prototype tool is implemented. In the last, an example is given to simulate the process of service test and validate the feasibility of the model.
E-Model Modification for Multi-Languages over IP

It is well known that non-intrusive speech quality assessment methods are appropriate for real time monitoring of VoIP traffic. However, previous researches has proved that most of the non-intrusive speech quality assessment methods failed to estimate accurate speech quality using different languages. Consequently, intrusive methods are frequently chosen to provide a more accurate measurement, however they cannot be used for real time VoIP traffic monitoring. In this paper, the technique to enhanced simplified version of ITU-T recommendation G.107 E-model with a language impairment parameter was proposed. The method to estimate the function of language impairment by tuning the E-model with an intrusive objective method, PESQ was presented. The results from statistical analysis show that the modified E-model matches well with PESQ scores in eight languages. DOI: http://dx.doi. org/10.5755/j01.eee. 21.1. 7612