Miracle-dz/UniFAR-FTUs huggingface dataset:
1 Problem Definition and Text Data Preparation

Auto dealerships receive thousands of calls daily from customers interested in sales, service, vendors and jobseekers. With so many calls, it is very important for auto dealers tounderst and the intent of these calls to provide positive customer experiences that ensure customer satisfaction, deeper customer engagement to boost sales and revenue, and optimum allocation of agents or customer service representatives across the business. In this paper, we define the problem of customer phone call intent as a multi-class classification problem stemming from the large database of recorded phone call transcripts. To solve this problem, we develop a convolutional neural network (CNN)-based supervised learning model to classify the customer calls into four intent categories: sales, service, vendor or jobseeker. Experimental results show that with the thrust of our scalable data labeling method to provide sufficient training data, the CNN-based predictive model performs very well on long text classification according to tests that measure the model’s quantitative metrics of F1-Score, precision, recall, and accuracy.
A New View on Classification of Software Vulnerability Mitigation Methods

Software vulnerability mitigation is a well-known research area, and many methods have been proposed for it. Some papers try to classify these methods from different specific points of views. In this paper, we aggregate all proposed classifications and present a comprehensive classification of vulnerability mitigation methods. We define software vulnerability as a kind of software fault, and correspond the classes of software vulnerability mitigation methods accordingly. In this paper, the software vulnerability mitigation methods are classified into vulnerability prevention, vulnerability tolerance, vulnerability removal and vulnerability forecasting. We define each vulnerability mitigation method in our new point of view and indicate some methods for each class. Our general point of view helps to consider all of the proposed methods in this review. We also identify the fault mitigation methods that might be effective in mitigating the software vulnerabilities but are not yet applied in this area. Based on that, new directions are suggested for the future research. GJCST-C Classification: H.3. 4 ANewViewonClassificationofSoftwareVulnerabilityMitigationMethods Strictly as per the compliance and regulations of: Online ISSN: 0975-4172 & Print ISSN: 0975-4350 Publisher: Global Journals Inc. (USA) Type: Double Blind Peer Reviewed International Research Journal Volume 17 Issue 1 Version 1.0 Year 2017 Software & Data Engineering Global Journal of Computer Science and Technology: C A New View on Classification of Software Vulnerability Mitigation Methods Maryam Mouzarani α & Babak Sadeghiyan σ AbstractSoftware vulnerability mitigation is a well-known research area, and many methods have been proposed for it. Software vulnerability mitigation is a well-known research area, and many methods have been proposed for it. Some papers try to classify these methods from different specific points of views. In this paper, we aggregate all proposed classifications and present a comprehensive classification of vulnerability mitigation methods. We define software vulnerability as a kind of software fault, and correspond the classes of software vulnerability mitigation methods accordingly. In this paper, the software vulnerability mitigation methods are classified into vulnerability prevention, vulnerability tolerance, vulnerability removal and vulnerability forecasting. We define each vulnerability mitigation method in our new point of view and indicate some methods for each class. Our general point of view helps to consider all of the proposed methods in this review. We also identify the fault mitigation methods that might be effective in mitigating the software vulnerabilities but are not yet applied in this area. Based on that, new directions are suggested for the future
Towards Sustainable Modular Housing : A Case Study of Thermal Performance Optimisation for Australia

The need for affordable housing is a growing issue requiring sincere and urgent attention globally. With increasing focus on climate change and other environmental issues our housing must be environmentally sustainable too. We also need housing in remote areas where conventional construction is both cost and resource inefficient. Prefabrication offers great opportunities for both sustainability and affordability and hence is emerging as an attractive alternative to conventional on-site construction. In this context, the CRC for Low Carbon Living in Australia has been engaged to develop designs for sustainable and affordable modular homes. The early optimisation was undertaken using AccuRate Sustainability – Australia’s national benchmark software tool for rating the thermal performance of residential designs. An iterative process was employed where the rating software was used as a design and analytical tool to generate optimised designs for various orientations and climate zones throughout Australia. This paper explores the process of improving the performance of an existing design and developing a thermally optimised new design, and presents some of the early results of this optimisation. The results show significant improvements in the thermal performance when compared to the existing design, but more importantly, the combined engineering and design research efforts developed general design principles that seemed to work well for most of the climates and orientations studied. This research contributes to the debate on integrative design process and its significance for sustainable built environment in general; it also ascertains the path forward for a more comprehensive approach to net zero energy and self-reliant modular housing – the eventual aim of the project.
Ein innovatives CFD / BEM Verfahren zur Berechnung von Strömungsgeräuschen von nicht-kompakten Körpern

Although flow noise can be simulated in different ways, the so-called Lighthill aeroacoustical analogy [1] has proven to be a very successful tool, because of its computational efficiency. This method effectively decouples the generation of sound by flow effects from the propagation of sound, and hence allows to split the simulation in a flow computation part, using Computational Fluid Dynamics [CFD] followed by an acoustic computation part using Computational Acoustics [CA], see [2] for an extensive review paper.
Coronary Anatomy and Reperfusion Success in Acute Myocardial Infarction with ST Segment Elevation

Introduction: Multivessel disease has a major impact on reperfusion in acute myocardial infarction with ST segment elevation (STEMI), as well as on patients’ prognostic after primary percutaneous coronary intervention (PCI). Concurrently with the invasive treatment, a precise description of the coronary anatomy is obtained. However, there is only one scoring system based just on anatomy to appreciate the prognosis after PCI – the SYNTAX score (SXS) – and it was recently validated for STEMI cases. The relationship between the SXS and myocardial reperfusion has not been studied till now. Material and methods: A retrospective study was performed including cases admitted with STEMI between 01 January 2010–31 January 2011. The SXSs were calculated. As a surrogate for reperfusion, ST segment resolution after angioplasty was measured and compared between the low, medium and high SXS tertiles. Total in-hospital mortality was also evaluated as a function of the SXS score. Results: Eighty-four patients were enrolled in the study. The groups with low, medium and high values of SXS were homogenous with regard to: age, sex, presence of arterial hypertension, diabetes, smoking, ischemic period, preand postprocedural thrombolysis in myocardial infarction (TIMI) flow. However, mean ejection fraction was significantly lower in medium or high SXS tertiles (p < 0.05). Medium and high values of SXS were significantly associated with poor ST segment resolution, as well as a higher in-hospital mortality (p < 0.05). Conclusion: Complex coronary anatomy has a negative influence on the short-term prognosis of STEMI, possibly partially by poor reperfusion, in spite of achieving a good epicardial flow.
DISCUSSION OF LOGISTIC MIXED MODEL PAPERS

I will begin my discussion with Dr. McCulloch's paper. He does an excellent job of outlining the strengths and weaknesses of alternative estimation methods. I will emphasize some of his points and relate them to the other two papers and my own experience. The methods he contrasts include" • MLE and REML • Penalized Quasi-Likelihood (PQL) • Generalized Estimating Equations (GEEs), and • Bayes estimation. I will not comment on the unadorned GEE approach since it does not estimate random effects for the small areas. The Singh and Wu paper overcomes this weakness of GEE's marginal or unconditional mean model by estimating additive random effects that can be appropriately bounded. Maximum Likelihood's strengths include the consistency and asymptotic normality of the 13s and o'-s. Likelihood ratio tests are also available for comparing nested x[3 models. It's weaknesses include the observation that MLEs are difficult to calculate for all but the simplest two level nested random effect models. Dr. McCulloch's (1997) JASA paper presents a Metropolis-Hastings type monte-carlo method for computing MLEs of the 13s and oZs for more complex models. The computation burden for his method is similar to the Gibbs/Metropolis sampling of the Bayes solution. Another weakness of the MLE solution is that mean squared errors for the small area predicted values that account for the sampling error in the estimated oZs (a'la. Prasad and Rao 1990) are not well developed. There are some recent unpublished results by Lahiri and Jiang for simple models. Also, bootstrapping may be required to produce interval estimates with good small sample properties. Penalized Quasi-Likelihood's main strength is that the computations are relatively easy. It works best when the associated first or second order 'small o ' linearization behaves well; that is, when o is small and y ,-, Bin (n , P ] has n > 1 for most-j and the expected ij ~ q iJl q number of tiits per cluster-i
Soluciones y fricciones en el hacking cívico : diseño colaborativo para predecir los tiempos de espera en las oficinas de inmigración

Smart and data-driven technologies seek to create urban environments and systems that can operate efficiently and effortlessly. Yet, the design and implementation of such technical solutions are full of frictions, producing unanticipated consequences and generating turbulence that foreclose the creation of friction-free city solutions. In this paper, we examine the development of solutions for wait time predictions in the context of civic hacking to argue that a focus on frictions is important for establishing a critical understanding of innovation for urban everyday life. The empirical study adopted an ethnographically informed mobile methods approach to follow how frictions emerge and linger in the design and production of queue predictions developed through the civic hacking initiative, Code for Ireland. In so doing, the paper charts how solutions have to be worked up and strategies re-negotiated when a shared motivation meets different data sources, technical expertise, frames of understanding, urban imaginaries and organisational practices; and how solutions are contingently stabilised in technological, motivational, spatiotemporal and organisational specificities rather than unfolding in a smooth, linear, progressive trajectory. Solutions et frictions dans le domaine du piratage civique : création et construction collaborative de prédictions d’attente pour un bureau d’immigration RÉSUMÉ Les technologies intelligentes fondées sur les données tentent de créer des environnements urbains et des systèmes qui puissent fonctionner efficacement et sans effort. Pourtant, la création et la mise en place de telles solutions techniques sont pleines de frictions, produisant des conséquences non anticipées et générant des agitations qui empêchent la création de solutions urbaines sans friction. Dans cet article, nous examinons le développement de solutions pour les prédictions de temps d’attente dans le contexte du piratage civique pour soutenir que l’accent mis sur les frictions est important afin d’établir une compréhension critique de l’innovation pour et dans la vie quotidienne urbaine. L’étude empirique a adopté une approche de méthodes mobiles spécialisées en ethnographie pour suivre comment les frictions commencent et persistent dans © 2016 informa uK limited, trading as taylor & Francis Group
LPC ÂÎÊÎÄÅÐ 1000-1200 ÁÈÒ/Ñ

This paper describes the low bit rate LPС speech coder (vocoder) operating at 1000 and 1200 bit/s. The vocoder was designed for using in a special telecommunication area. The functional model of vocoder and its design features are presented. Two ways of an output frame packing are discussed. The real-time implementation of the vocoder model on a PC allows us to get the intelligibility test results during the algorithm development phase. The estimated DSP implementation performance is about 10 MIPS on the TMS320C54x processor family. 1.Introduction Low bit rate speech coders at speed below 2000 bit/s has synthetic quality of output speech and using in special telecommunication areas. One of important quality measures for these coders is a subjective intelligibility in form of a score of the right receiving meaningless syllables [1]. For a good quality level the score should be no less than 75% [2]. Good intelligibility must be remained for all input speech levels, in presence of background noise and for input speech in 300-3600 Hz frequency band. This paper describes the low bit rate speech coder (vocoder) operating at 1000 and 1200 bit/s. The vocoder is based on the traditional speech production model [3]. It uses a linear prediction (LP) model with periodic and noise excitation alternately. A transmitting speed depends from the frame length and the bit allocation method. The vocoder model is implemented on a personal computer (PC) using C language and this implementation works in real-time. It allows us to get the intelligibility test results using method [2] at a step of algorithm development on PC before the DSP implementation. It is important for decreasing a development time of the entire project. This paper is organized as follows. A brief encoder description is done in section 2. The methods of LPC analyses and LSP quantization are considered in section 3. The questions of pitch estimation and tracking are discussed in section 4. The energy quantization and the encoder output bit allocation are viewed in section 5. In section 6 the decoder is explained. The real-time implementation details and the subjective test results are reported in section 7. 3-я Международная Конференция DSPA-2000 6 2. Encoder A functional block diagram of encoder is shown in Figure 1. The analysis window (frame) length is 22.5 or 30 ms long. The encoder calculates and transmits into channel these speech parameters: a frame energy, a spectrum envelope based on a LP model parameters estimation, a pitch estimation and a voiced/unvoiced (V/U) decision.
Modeling and control of cloud services : application to MapReduce performance and dependability

The amount of raw data produced by everything from our mobile phones, tablets, computers to our smart watches brings novel challenges in data storage and analysis. Many solutions have arisen in the industry to treat these large quantities of raw data, the most popular being the MapReduce framework. However, while the deployment complexity of such computing systems is steadily increasing, continuous availability and fast response times are still the expected norm. Furthermore, with the advent of virtualization and cloud solutions, the environments where these systems need to run is becoming more and more dynamic. Therefore ensuring performance and dependability constraints of a MapReduce service still poses significant challenges. In this thesis we address this problematic of guaranteeing the performance and availability of MapReduce based cloud services, taking an approach based on control theory. We develop the first dynamic models of a MapReduce service running a concurrent workload. Furthermore, we develop several control laws to ensure different quality of service objectives. First, classical feedback and feedforward controllers are developed to guarantee service performance. To further adapt our controllers to the cloud, such as minimizing the number of reconfigurations and costs, a novel event-based control architecture is introduced for performance management. Finally we develop the optimal control architecture MR-Ctrl, which is the first solution to provide guarantees in terms of both performance and dependability for MapReduce systems, meanwhile keeping cost at a minimum. All the modeling and control approaches are evaluated both in simulation and experimentally using MRBS, a comprehensive benchmark suite for evaluating the performance and dependability of MapReduce systems. Validation experiments were run in a real 60 node Hadoop MapReduce cluster, running a data intensive Business Intelligence workload. Our experiments show that the proposed techniques can successfully guarantee performance and dependability constraints.
Visual language and converging technology

Knowledge of graphic design, information design, visual communication, visual language, and visual literacy might be important for our ability to better produce effective messages - "messages that really work". In this study, visual learning would be explored by identifying characteristics of visual language and its converging technology. According to visual cognitive style and visualizes' attributes, sender process, text design, image design, graphic design and receiver processes were discussed. The goals of visual language and recording brain activity were identified based upon meta-analysis.
Applying morphological changes during the evolution of quadruped robots results in robust gaits

In nature, land animals started off with stable morphologies. A good example is the tortoise: its legs are spread out and it has a low center of mass. This made it very stable and therefore suitable for learning robust gaits. Over the course of evolution, land animals slowly grew bigger and their legs grew longer. Consequently, they adjusted their gaits to deal robustly with the locomotion problem on this more complex morphology.
MECHANISM OF THE 2011 TOHOKU-OKI EARTHQUAKE : INSIGHT FROM SEISMIC TOMOGRAPHY

We relocated the great 2011 Tohoku-oki earthquake (Mw 9.0) and its foreshocks and aftershocks using a three-dimensional seismic velocity model and high-quality P and S wave arrival times recorded by the dense seismic network on the Japan Islands. Then we compared the distribution of the relocated hypocenters with a high-resolution tomographic image of the Northeast Japan forearc. The comparison indicates that the rupture nucleation of the largest events in the Tohoku-oki sequence, including the mainshock, was controlled by structural heterogeneities in the interplate megathrust zone.
HARDWARE INDEPENDENT PLATFORM FOR MODULAR ROBOTICS BASED ON PROTOTHREADS AND CONTIKI LOADER

These days there is no modular platform not only for robotics, which would distribute computing power from 8bit low power microcontrollers to 32 or 64 bit high power computers. This paper presents new robotic modular architecture based on knowledge from sensor networks area, where development is rapidly moving forward. The basis of the presented platform is created by functional modules based on protothreads, which communicate in accordance with one common protocol. This gives scalability and independency in the process of creating modular system with code reusability.
A Change without a Change!!: National Curriculum Reform and EFL Teachers’ Motivation in Iran

Taking the significance of teacher motivation in professional practice and pedagogical achievements of teachers, students and their educational goals, this study aimed to investigate EFL teachers’ motivation affected by the introduction of the Fundamental Reform Document of Education in Iran. For the quantitative phase of the study, a researcher-made questionnaire developed based on the four aspects of motivation by Dornyei and Ushioda (2011) was distributed among 98 Iranian EFL teachers. Afterwards, to capture the salient factors of teachers’ motivation, a set of semi-structured interviews with 7 volunteer teachers were conducted. The results revealed that this reform has had a positive effect on teachers’ motivation yet it has not been that much comprehensive to take into account all the motivation factors except for the contextual ones.
Increasing dual language learning chidren's vocabulary : learning from peers during shared book reading

This multi-case study attempted to investigate how Dual Language Learning (DLL) children learn vocabulary words through shared book reading approached called dialogic reading. The study also examined potential peer-learning effects by comparing DLL children’s acquisition of book-related vocabulary when books were read to them in a one-on-one setting vs. in a small group setting with Native English Speaking (NES) peers. Four DLL and 8 NES children participated and took preand postTarget Vocabulary Test (TVT) that were created to assess target words from selected books. I used a crossover design in which all of the DLL children received two weeks of book reading in a single condition (the DLL child and one adult) and two weeks of reading in a paired condition (the DLL child, two NES peers, and one adult). Results indicated that as a group, children showed significant pre-to-post gains on the TVT. DLL children showed slightly larger gains in the single condition compared to the paired condition. When children’s book-reading interactions were considered, DLL and NES children showed similar rates of verbal and nonverbal behaviors except for proportions of unintelligible utterances and sentence completions. DLL children imitated more words than did NES children, whereas NES children were more likely to imitate sentences. Results suggest that one-on-one book reading may be more helpful for DLL children, at least in the initial stages of English language acquisition. Future research is needed to determine whether evidence of peer learning effects would be found if small group book reading sessions were designed to encourage DLL children to interact with their NES peers in addition to the adult reader. INCREASING DUAL LANGUAGE LEARNING CHILDREN’S VOCABULARY iii
The False Discovery Rate in ACS : Helping Users to Understand Estimates for Small Domains

In 2010, the U.S. Census Bureau will publish the first set of 5-year period estimates from the American Community Survey (ACS), based on data for 2005-2009. Published for small places, tracts, and other small areas, the 5-year ACS estimates will attempt to replace the long-form data from recent decennial censuses. Because the effective sample size for the ACS will be somewhat less than half that of previous censuses, users will face an increased challenge to distinguish true variation from sampling error. The concept of the false discovery rate has become increasingly useful in other disciplines confronted by large numbers of estimates, such as micro-array analysis in genetics and fMRI studies of the brain. The paper will review this concept and suggest its possible future application, based on a preliminary analysis of published data from the ACS Multiyear Estimates Study.