Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficiency Investigation of Line Start Synchronous Reluctance Motors

The need to constrain global warming demands new sustainable and green technologies. Line start synchronous reluctance machine technologies offer a big potential for future energy savings in industrial applications. Within this thesis the efficiency and starting capability of a novel line start synchronous reluctance machine in comparison to a common induction machine is analysed. For this purpose a simulation model and a test bench setup were used. With this new motor design a measured efficiency enhancement at rated load from 89.3% up to 92.0% was achieved, corresponding to a loss reduction of about 27.6%. For the chosen 4 kW four pole motor the efficiency rating was improved from IE3 to IE4. Nevertheless a drawback is the low synchronization capability, which limits the range of possible industry applications.
A statistical model for the obstructed factory radio channel

A statistical model based on experimental data is presented to characterize the multipath propagation medium in typical manufacturing environments. The statistical behavior of the medium is described by a time-varying impulse response which includes the distribution of the parameter of the channel such as the gain, the interarrival time, and the number of paths. The experimentally measured pulse responses of indoor factory radio channels were used to estimate the channel statistics. The interarrival times of the signals were modeled by the Weibull distribution. A model for the distribution of the number of signals was presented using the modified Beta distribution. Finally, for the data with no threshold at the receiver, a suitable model for the distribution of the gain coefficients is found to be the log-normal distribution. It is concluded that the proposed approach can be used to analyze the manufacturing environments. <<ETX>>
The Patterns of Vowel Insertion in Korean Speakers` Production of English C+/l/ and C+/r/ Clusters

This study examines Korean speakers" production of English consonant clusters, focusing on vowel insertion. An acoustic analysis along with a statistical test was carried out to see what factors are involved in this production. The following factors were considered in the present study: phonetic properties, L1 transfer, and cluster types. Specifically, liquid types were considered to see if they cause any difference depending on C+/l/ or C+/r/ clusters in the onset in terms of vowel insertion patterns. That is, it was examined which Korean speakers produce better, C+/l/ or C+/r/ clusters. Interestingly, the result of the present experiment shows that the correct answer percent was higher in the C+/r/ onset clusters than C+/l/ onset clusters unlike Eckman"s (1977) Marked Differential Hypothesis. In other words, the occurrence of the vowel insertion in C+/l/ clusters is higher than C+/r/ onset clusters. This may be attributed to L1 transfer. Furthermore, in the present study, three patterns of vowel insertion in the C+/l/ clusters were identified by implementing an acoustic analysis based on vowel duration and formant: a) vowel insertion with gemination, b) phonological epenthesis, and c) phonetic intrusion. However, phonetic intrusion mainly occurred in the C+/r/ clusters. Data were collected from 54 Korean speakers to see what factors are involved in vowel insertion patterns in the production of English consonant clusters. This study provides evidence for L1 transfer, the duration effect of /l/ in a different context, and three kinds of vowel insertion patterns in conjunction with gestural coordination by age groups.
A New Two-Dimensional Model for the Drain-Induced Barrier Lowering of Fully Depleted Short-Channel SOI- MESFET's

A new two-dimensional analytical model for the potential distribution and drain-induced barrier lowering (DIBL) effect of fully depleted short-channel Silicon-on-insulator (SOI)-MESFET's has been presented in this paper. The two dimensional potential distribution functions in the active layer of the device is approximated as a simple parabolic function and the two-dimensional Poisson's equation has been solved with suitable boundary conditions to obtain the bottom potential at the Si/oxide layer interface. It is observed that for the SOI-MESFET's, as the gate-length is decreased below a certain limit, the bottom potential is increased and thus the channel barrier between the drain and source is reduced. The similar effect may also be observed by increasing the drain-source voltage if the device is operated in the near threshold or sub-threshold region. This is an electrostatic effect known as the drain-induced barrier lowering (DIBL) in the short-gate SOI-MESFET's. The model has been verified by comparing the results with that of the simulated one obtained by solving the 2-D Poisson's equation numerically by using the pde toolbox of the widely used software MATLAB.
Motivated Moral Reasoning

Moral judgments are important, intuitive, and complex. These factors make moral judgment particularly fertile ground for motivated reasoning. This chapter reviews research (both our own and that of others) examining two general pathways by which motivational forces can alter the moral implications of an act: by affecting perceptions of an actor’s moral accountability for the act, and by influencing the normativemoral principles people rely on to evaluate themorality of the act. We conclude by discussing the implications of research on motivated moral reasoning for both classic and contemporary views of the moral thinker.
Making It Personal: Performance-Based Assessments, Ubiquitous Technology, and Advanced Learners

This pedagogical implementation study advocates for performance-driven assessments to help learners become aware of and improve upon presentational speaking skills at the advanced level. A social media content creation tool, Adobe Spark Video, enabled learners to practice oral skills outside of class. The task design, implementation, and evaluation met the principle objectives of learner autonomy—namely awareness, choice, reflection, and goal setting. A step-by-step guide with examples and survey results about student perceptions is included. While the case study targeted upper-division Spanish majors, the pedagogical model could be adapted for intermediate and advanced learners of any second or foreign language.
Content Analysis of Canadian Academic Library Gift and Donation Webpages

Gifts and donations form an integral part of an academic library’s existence, whether monetary or physical items. While monetary gifts are greatly valued, gift-in-kind donations of physical items can also contribute rare or unique items to collections. However, gift-in-kind donations also bring many challenges, as processing and evaluating physical materials can be time-consuming and labour-intensive; moreover, these materials may occupy significant amounts of space and ultimately may or may not add value to the library collection. Providing clear, publicly available gift and donation information can mitigate some of these challenges and help to set expectations for donors by giving a clear overview of the evaluation process and letting them know which types of material are of interest. The author reviewed donation-related webpages of twenty-one Canadian academic libraries to determine commonalities regarding library donation webpages. This analysis can provide practical assistance to librarians who are creating or revising gift-in-kind policies and procedures in Canadian academic libraries. Les dons monetaires ou materiels font partie integrante de l'existence d'une bibliotheque universitaire. Bien que les dons monetaires soient tres apprecies, les dons materiels peuvent aussi contribuer a des collections d'articles rares ou uniques. Toutefois, les dons en nature posent egalement de nombreux defis, car le traitement et l'evaluation des documents physiques peuvent prendre beaucoup de temps et exiger beaucoup de travail; en outre, ces documents peuvent prendre beaucoup d'espace et, en bout de ligne, ils peuvent ou non ajouter de la valeur a la collection de la bibliotheque. Il importe alors de fournir au public des informations claires sur les dons afin de palier certains de ces defis et d'etablir des attentes pour les donateurs en leur presentant un survol clair du processus d'evaluation et en leur laissant savoir quels types de materiel sont d'interet. L'auteure a recense les pages Web consacrees aux dons de vingt-et-une bibliotheques universitaires canadiennes afin d'y deceler les points communs. Cette analyse peut fournir une aide pratique aux bibliothecaires qui creent ou qui revisent des politiques et des procedures pour les dons en nature dans les bibliotheques universitaires canadiennes.
Wireless Device Authentication Techniques Using Physical-Layer Device Fingerprint

Due to the open nature of the radio signal propagation medium, wireless communication is inherently more vulnerable to various attacks than wired communication. Consequently, communication security is always one of the critical concerns in wireless networks. Given that the sophisticated adversaries may cover up their malicious behaviors through impersonation of legitimate devices, reliable wireless authentication is becoming indispensable to prevent such impersonation-based attacks through verification of the claimed identities of wireless devices. Conventional wireless authentication is achieved above the physical layer using upper-layer identities and key-based cryptography. As a result, user authenticity can even be validated for the malicious attackers using compromised security key. Recently, many studies have proven that wireless devices can be authenticated by exploiting unique physical-layer characteristics. Compared to the key-based approach, the possession of such physical-layer characteristics is directly associated with the transceiver’s unique radio-frequency hardware and corresponding communication environment, which are extremely difficult to forge in practice. However, the reliability of physical-layer authentication is not always high enough. Due to the popularity of cooperative communications, effective implementation of physical-layer authentication in wireless relay systems is urgently needed. On the other hand, the integration with existing upper-layer authentication protocols still has many challenges, e.g., end-to-end authentication. This dissertation is motivated to develop novel physical-layer authentication techniques in addressing the aforementioned challenges. In achieving enhanced wireless authentication, we first specifically identify the technique challenges in authenticating cooperative amplify-and-forward (AF) relay. Since AF relay only works at the physical layer, all of the existing upper-layer authentication protocols are ineffective in identifying AF relay nodes. To solve this problem, a novel device fingerprint of AF relay consisting of wireless channel gains and in-phase and quadrature imbalances (IQI) is proposed. Using this device fingerprint, satisfactory authentication accuracy is achieved when the signalto-noise ratio is high enough. Besides, the optimal AF relay identification system is studied to maximize the performance of identifying multiple AF relays in the low signal-to-noise regime and small IQI. The optimal signals for quadrature amplitude modulation and phase shift keying modulations are derived to defend against the repeated access attempts made by some attackers
Iterative normalization for speaker-adaptive training in continuous speech recognition

The authors present several techniques to improve an algorithm presented last year for speaker-adaptive training in continuous speech recognition. The previous method uses a transformation matrix to modify the hidden Markov model (HMM) parameters of a prechosen prototype speaker to model a target speaker. To estimate the transformation matrix, it aligns a set of target speech with the same set of speech uttered by the prototype speaker using dynamic time warping. The authors focus on improving the previous method in the modeling of the spectral differences between two speakers, and the accuracy of the alignment. To improve the modeling of the spectral differences, they implemented a phoneme-dependent mapping procedure which transforms the prototype HMMs to the estimated target HMMs using a set of phoneme-dependent matrices. To improve the alignment, the authors developed a modeling of the silence, a linear duration normalization, and an iterative normalization procedure. They tested the new methods in the standard DARPA database with a grammar of perplexity 60. The performance shows a 30% word-error reduction compared to the previous algorithm. <<ETX>>
Motivational Impacts on Intent to Use Health-Related Social Media

ABSTRACT Today, the healthcare industry is challenged with promoting health and disease prevention through various customer outreach initiatives. Social media tools enable customers to aquire health information without the need to visit their doctor. Yet, healthcare providers do not understand what motivates customers to use such technology for health-related purposes. In this study, an online survey was conducted with 4,058 participants. Using SEM techniques, the results indicate that previous experience with online health-related searches serves as a direct and indirect motivational driver. While the direct relationship between prior experience with online health-related searches can be mostly positive, it can be weakened and impacted by inhibitors that create online use concerns (e.g., privacy and confidentiality). Furthermore, health condition may determine the level of interest people may have for health-related social media sites as well. This research provides a deeper understanding about motivational factors that impact the intent to use health-related social media.
Student Success and the Influence of a Prerequisite Module for Investment Students at an Open Distance Learning Institution

Abstract Literature emphasises the inclusion of prerequisites in curriculum development in order for studentsto obtain foundation knowledge to be successful. Prerequisites assist students to assess their readiness by evaluatingtheir familiarity with the discipline-specific knowledge. The research investigated whether a relationship existsbetween success in the prerequisite and the pass rate and success in the higher-level module. The population of thestudy consists of students who completed both modules between 2010 and 2012. Descriptive paradigm, appliedregression and correlation analysis to establish whether a positive linear relationship exists. A significant moderatecorrelation, r (830) = . 416; p >. 001) exists between the percentage obtained in the two modules. The prerequisitemark is however not a good predictor of results in the higher-level module. The implications for higher educationare to evaluate course development to align foundation and higher-level knowledge; to implement outcome-basedassessment measures; and to highlight the importance of prerequisites to students.
Noise filtering and enhancement of seabed topography for airborne laser bathymetry

A technique for noise filtering and enhancement of seabed topography of coastal waters is presented. The characteristics of the noise with which the bathymetric signals are contaminated are studied. A simple, yet efficient, data segmentation and interpolation method for regularizing irregularly spaced data is developed. Then a 2D noise filtering algorithm based on the use of local statistics of depth measurements is described and applied to the data.
Graphical game theory with mobility

This study aimed to resolve disparities between the human behaviour predicted by game theoretic models and the behaviours observed in the real world. The existing model of graphical games was analysed and expanded to create a new model in which agents can move themselves around the graph over time. By adopting different configurations of variables, this model can simulate a very wide range of different scenarios. The concept of meta-games was applied to expand this range yet further and introduce more real-world applications. The interactions between different elements of the configuration were investigated to develop an understanding of the model's emergent properties. The study found that this new model is more accurate and more widely applicable than all other pre-existing candidate models. This suggests that human irrationality can generally be accounted for with a better understanding of the environment within which interaction is occurring.
Prediction of Protein-Protein Interaction Sites Using Only Sequence Information and Using Both Sequence and Structural Information

Protein-protein interactions play an important role in a number of biological activities. We developed two methods of predictingprotein-protein interaction site residues. One method uses only sequence information and the other method uses both sequence and structural information. We used support vector machine (SVM) with a position specific scoring matrix (PSSM) as sequence information and accessible surface area(ASA) of polar and non-polar atoms as structural information. SVM is used in two stages. In the first stage, an interaction residue is predicted by taking PSSMs of sequentially neighboring residues or taking PSSMs and ASAs of spatially neighboring residues as features. The second stage acts as a filter to refine the prediction results. The recall and precision of the predictor using both sequence and structural information are 73.6% and 50.5%, respectively. We found that using PSSM instead of frequency of amino acid appearance was the main factor of improvement of our methods.
Sensitivity analysis of a curved-structure rotary joint for a radar system in X-band

This paper deals with the design of a special kind of rotary joint that is used in a scanning slot antenna in a radar system. Because of the special structure of the system, we have used curved waveguides in our design. The radar system operates in X-band with a 200 MHz bandwidth where VSWR should not exceed a maximum value of 1.07. Simulation studies have been conducted to obtain the sensitivity of different parts of the rotary joint. The results show that the most sensitive parts of the device are the coaxial probes that should be manufactured with very high precision in order to get low VSWR in the desired bandwidth. We have used mode matching technique to analyze the waveguide discontinuities that has led to accurate results.
Linguistic Knowledge Transfer for Enriching Vector Representations

Many state-of-the-art neural network models utilize a huge number of parameters, where a large number of labeled training examples are necessary for sufficient training of the models. Those models may not be properly trained if there are not enough training examples for target tasks. This dissertation focuses on transfer learning methods, which improve the performance of the target tasks in such situations by leveraging external resources or models from other tasks. Specifically, we introduce transfer learning methods for enriching word or sentence vector representations of neural network models by transferring linguistic knowledge. Usually, the first layer of the neural networks for Natural Language Processing (NLP) is a word embedding layer. Word embeddings represent each word as a real-valued vector, where semantically or syntactically similar words tend to have similar vector representations in vector spaces. The first part of this dissertation is mainly about word embedding enrichment, which is categorized as an inductive transfer learning methodology. We show that word embeddings can represent semantic intensity scales like “good” < “great” < “excellent” on vector spaces, and semantic intensity orders of words can be used as the knowledge sources to adjust word vector positions to improve the semantics of words by evaluating on word-level semantics tasks. Also, we show that word embeddings that are enriched with linguistic knowledge can be used to improve the performance of the Bidirectional
Comprehensive Framework for Estimating Traffic Stream Flow Rates past Moving Bottlenecks

Regardless of the application domain, researchers are always interested in modeling natural phenomena in the simplest way while capturing key features and producing valid conclusions. The research presented in this paper extends a previous study by developing a simple model that estimates the traffic stream flow passing a moving bottleneck. Specifically, the research presented in this paper extends the deterministic modeling approach by considering differences in driver and vehicle behavior with simulated data generated with the INTEGRATION software. It is shown that the impact of speed distribution is more notable for high demand levels and results in a decrease in the passing rate, which is consistent with traffic flow theory. Finally, the paper demonstrates that the roadway jam density has no effect or a minimal effect on the bottleneck passing rates. With the presented extension, the proposed framework is comprehensive for estimation of the passing rate around moving bottlenecks.
Current structure off the North Spanish coast observed by HF radar

The objective of the European Radar Ocean Sensing (EuroROSE) project is to develop a radar based ocean monitoring system in support of safe navigation in port approach areas and otherwise densely operated sea areas. Radar measured data are assimilated into a fine gridded numerical model with the aim of predicting, for a few hours, currents and waves. A demonstration of this system was carried out off the North Spanish coast from October to November 2000. The area selected covers the approach to the harbour of Gijon. Two HF radars WERA (Wellen Radar) of the University of Hamburg were deployed. WERA, operated at 27.65 MHz, measures surface currents within an area of about 40 by 40 km with a spatial resolution of about 1 km and with a temporal sampling of 20 min. The Spanish measurement network consists of different types of wave bouys. Currents have not been recorded in the area under consideration. For the first time, the maps of surface current, acquired during the EuroROSE Gijon experiment, show the high spatial and temporal variability off the North Spanish coast. This paper presents first experimental results with emphasis on the dynamics of the coastal current. Depending on the wind situation, up to two coastal jets with a chain of eddies in between has been observed.
Instructional videos as part of a ‘flipped’ approach in academic writing

This paper reports on a project in which students watched short instructional videos on aspects of academic writing as part of a ‘flipped classroom’ approach at an English-medium university in the United Arab Emirates. The authors present the video tutorial project in the context of the flipped classroom, and evaluate student satisfaction with the video input. The findings suggest that although most students liked watching the videos at home, and found the input easy to understand, they still felt the need for teacher explanations. One conclusion from this study is that students are not yet ready for a complete flipped classroom in which all the input is given through the video. In this context, a mix of video input and teacher explanation is more appropriate.
Loss waveform interval for the data buffering of a multiple-channel microcomputer-based oscilloscope system

Microcomputer-based oscilloscope instruments have been developed recently because they can easily process, store and transmit the measured signals with the help of computers. Although it is workable and available, at the present we still don't know too much about the quantitative relationships among the system bandwidth, the buffer size, the channel numbers and the loss waveform interval in the data buffering mechanism of a microcomputer-based oscilloscope. In this paper, we propose a modified queuing model for the quantitative analysis of these relationships. The primary results from this model and the measurement of the experimental system show that the higher the bandwidth we need, the higher is the loss of the waveform interval for the measured signals.