Miracle-dz/UniFAR-FTUs huggingface dataset:
OPTIMAL PATHS FOR A CAR THAT GOES BOTH FORWARDS AND BACKWARDS

The path taken by a car with a given minimum turning radius has a lower bound on its radius of curvature at each point, but the path has cusps if the car shifts into or out of reverse gear. What is the shortest such path a car can travel between two points if its starting and ending directions are specified? One need consider only paths with at most 2 cusps or reversals
DIAGNOSIS OF STATOR FAULT IN ASYNCHRONOUS MACHINE USING SOFT COMPUTING METHODS

Stator Winding Fault can be detected by monitoring any abnormality of the Park’s spectrum. In this paper, a fault-detection performance comparison is presented between the Support Vector Machine (SVM) and backpropagation algorithm (BP) using experimental data for a healthy and faulty case. Support Vector Machine and Back propagation Algorithm provide environments to develop fault-detection schemes because of their multi-input- processing and its good generalization capability. The training patterns are obtained using motor current signature analysis (MCSA) and using Spectral Park’s Vector. The neural networks are evaluated by means of the cross- validation technique to determine easily the diagnosis and severity of turn-to- turn faults.
Fast Handoff Implementation by using Curve Fitting Equation With Help of GPS

Due to rapid growth in IEEE 802.11 based Wireless Local Area Networks (WLAN), handoff has become a burning issue. A mobile station (MS) requires handoff when it travels out of the coverage area of its current access point (AP) and tries to associate with another AP. But handoff delays provide a serious barrier for such services to be made available to mobile platforms. Throughout the last few years there has been plenty of research aimed towards reducing the handoff delay incurred in the various levels of wireless communication. In this paper we propose a method using the GPS(Global Positioning System) to determine the positions of the MS at different instants of time and then by fitting a trend equation to the motion of the MS to determine the potential AP(s) where the MS has maximum probability of travelling in the future. This will result in a reduction of number of APs to be scanned as well as handoff latency will be reduced to a great extent.
List Decoding of Reed-Muller Codes Based on a Generalized Plotkin Construction

Gopalan, Klivans, and Zuckerman proposed a listdecoding algorithm for Reed-Muller codes. Their algorithm works up to a given list-decoding radius. Dumer, Kabatiansky, and Tavernier improved the complexity of the algorithm for binary Reed-Muller codes by using the well-known Plotkin construction. In this study, we propose a list-decoding algorithm for non-binary Reed-Muller codes as a generalization of Dumer et al.’s algorithm. Our algorithm is based on a generalized Plotkin construction, and is more suitable for parallel computation than the algorithm of Gopalan et al. Since the list-decoding algorithms of Gopalan et al., Dumer et al., and ours can be applied to more general codes than Reed-Muller codes, we give a condition for codes under which these list-decoding algorithms works. key words: Reed-Muller code, list decoding, Plotkin construction
Extended Multitouch : Recovering Touch Posture , Handedness , and User Identity using a Depth Camera

Multitouch surfaces are becoming prevalent, but most existing technologies are only capable of detecting the user’s actual points of contact on the surface and not the identity, posture, and handedness of the user. In this paper, we define the concept of extended multitouch interaction as a richer input modality that includes all of this information. We further present a practical solution to achieve this on tabletop displays based on mounting a single commodity depth camera above a horizontal surface. This will enable us to not only detect when the surface is being touched, but also recover the user’s exact finger and hand posture, as well as distinguish between different users and their handedness. We validate our approach using two user studies, and deploy the technology in a scratchpad application as well as in a sketching tool that integrates pen and touch for creating beautified sketches. ACM Classification
Characteristics of good role models in sports and social life

Role models are important, especially to young children and adolescents. This study examined first the different characteristics a person needed to have to be able to become a role model. Second, it examined if and why trainers were or were not seen as role models.Thematic analyses revealed several major themes important to the respondents concerning role models: (a) age, (b) awareness, (c) identification, (d) mentality, and (e) personality. Trainers were indeed seen as role models by both athletes and trainers. Opinions were divided about whether or not a trainer could be more than just a role model for sports. Most of the respondents stated that trainers could as well be role models for the social life, whereas the other respondents said that trainers would be only role models for sport-related situations. The conclusion of this study is that persons needto have certain characteristics to become role models and that trainers are seen as role models.
An expectation-based account of subject islands and parasitism1

Subject phrases impose particularly strong constraints on extraction. Most research assumes a syntactic account (e.g. Kayne 1983, Chomsky 1986, Rizzi 1990, Lasnik & Saito 1992, Takahashi 1994, Uriagereka 1999), but there are also pragmatic accounts (Erteschik-Shir & Lappin 1979; Van Valin 1986, 1995; Erteschik-Shir 2006, 2007) as well as performance-based approaches (Kluender 2004). In this work I argue that none of these accounts captures the full range of empirical facts, and show that subject and adjunct phrases (phrasal or clausal, finite or otherwise) are by no means impermeable to non-parasitic extraction of nominal, prepositional and adverbial phrases. The present empirical reassessment indicates that the phenomena involving subject and adjunct islands defies the formulation of a general grammatical account. Drawing from insights by Engdahl (1983) and Kluender (2004), I argue that subject island effects have a functional explanation. Independently motivated pragmatic and processing limitations cause subject-internal gaps to be heavily dispreferred, and therefore, extremely infrequent. In turn, this has led to heuristic parsing expectations that preempt subject-internal gaps and therefore speed up processing by pruning the search space of filler–gap dependencies. Such expectations cause processing problems when violated, unless they are dampened by prosodic and pragmatic cues that boost the construction of the correct parse. This account predicts subject islands and their (non-)parasitic exceptions.
Real-time corner and polygon detection system on FPGA

Corner detection is a fundamental step in the image recognition. In this paper, we propose a new corner detection algorithm based on the circumferential distribution of the edges around each pixel. The computational complexity of this algorithm is high, but this algorithm is suitable for hardware implementation, and we can achieve high performance on an FPGA. Furthermore, this algorithm can detect the directions of all line segments crossing at the corners precisely. This feature makes it easier to detect polygons in the image using the corners. We also show a method for detecting the polygons in the image from the corners. The performance on Xilinx XC4VLX160 is fast enough for real-time applications.
Iris Recognition Using Ridgelets

Abstract —Image feature extraction is one of the basic works for biometric analysis. This paper presents the novel concept of application of ridgelets for iris recognition systems. Ridgelet transforms are the combination of Radon transforms and Wavelet transforms. They are suitable for extracting the abundantly present textural data that is in an iris. The technique proposed here uses the ridgelets to form an iris signature and to represent the iris. This paper contributes towards creating an improved iris recognition system. There is a reduction in the feature vector size, which is 1X4 in size. The False Acceptance Rate (FAR) and False Rejection Rate (FRR) were also reduced and the accuracy increased. The proposed method also avoids the iris normalization process that is traditionally used in iris recognition systems. Experimental results indicate that the proposed method achieves an accuracy of 99.82%, 0.1309% FAR, and 0.0434% FRR. Keywords —Ridgelets, Texture, Wavelets, Biometrics, Features, Database
Adaptive feedforward cancellation of sinusoidal disturbances in superconducting RF cavities

A control method, known as adaptive feedforward cancellation (AFC), is applied to damp sinusoidal disturbances due to microphonics in superconducting radio frequency (SRF) cavities. AFC provides a method for damping internal and external sinusoidal disturbances with known frequencies. It is preferred over other schemes because it uses rudimentary information about the frequency response at the disturbance frequencies, without the necessity for an analytic model (transfer function) of the system. It estimates the magnitude and phase of the sinusoidal disturbance inputs and generates a control signal to cancel their effect. AFC, along with a frequency estimation process, is shown to be very successful in the cancellation of sinusoidal signals from different sources. The results of this research may significantly reduce the power requirements and increase the stability for lightly loaded continuous-wave SRF systems. r 2005 Elsevier B.V. All rights reserved. PACS: 45.80. +r; 45.30. +s; 29.17. +w
A Unified Character-Based Tagging Framework for Chinese Word Segmentation

Chinese word segmentation is an active area in Chinese language processing though it is suffering from the argument about what precisely is a word in Chinese. Based on corpus-based segmentation standard, we launched this study. In detail, we regard Chinese word segmentation as a character-based tagging problem. We show that there has been a potent trend of using a character-based tagging approach in this field. In particular, learning from segmented corpus with or without additional linguistic resources is treated in a unified way in which the only difference depends on how the feature template set is selected. It differs from existing work in that both feature template selection and tag set selection are considered in our approach, instead of the previous feature template focus only technique. We show that there is a significant performance difference as different tag sets are selected. This is especially applied to a six-tag set, which is good enough for most current segmented corpora. The linguistic meaning of a tag set is also discussed. Our results show that a simple learning system with six n-gram feature templates and a six-tag set can obtain competitive performance in the cases of learning only from a training corpus. In cases when additional linguistic resources are available, an ensemble learning technique, assistant segmenter, is proposed and its effectiveness is verified. Assistant segmenter is also proven to be an effective method as segmentation standard adaptation that outperforms existing ones. Based on the proposed approach, our system provides state-of-the-art performance in all 12 corpora of three international Chinese word segmentation bakeoffs.
Concreteness, Specificity and Emotional Content in Swedish Nouns: Neurocognitive Studies of Word Meaning

The present thesis investigated Swedish nouns differing in concreteness, specificity and emotional content using linguistic, psycholinguistic and neurolinguistic methods. The focus of Paper I was a semantic analysis of discourse produced by a person with a lesion in visual (left occipital) cortex. The results showed that the lesion site was related to with problems processing concrete nouns related to visual semantic features, as well as nouns with high semantic specificity. Paper II compared Swedish ratings of the cognitive psychological parameters imageability, age of acquisition and familiarity to English ratings, showing correlations indicating that ratings can be transferred between the two languages. Suggestions for constructing a Swedish psycholinguistic database were also outlined. In Paper III, four noun categories differing in specificity and emotional arousal (SPECIFIC, GENERAL, EMOTIONAL, ABSTRACT) were compared using a dichotic listening paradigm and a concrete/abstract categorisation task. EMOTIONAL nouns were shown to be processed faster than the other noun categories when presented in the left ear, possibly indicating more right hemisphere involvement. In Paper IV, PSEUDOWORDS as well as SPECIFIC, GENERAL, EMOTIONAL and ABSTRACT nouns were compared during lexical decision and imageability rating tasks using electroencephalography (EEG), targeting the event-related potentials (ERPs) N400 and N700, previously shown to be modulated by concreteness. On the assumption that abstract nouns have a larger number of lexical associates than more concrete nouns, N400 amplitudes were predicted to be smaller for abstract nouns than for concrete nouns. This prediction was supported by the results. Notably, even SPECIFIC and GENERAL nouns were observed to elicit different N400 amplitudes, in accordance with their hierarchical relationship in lexical semantic models. Bringing together theories and methods from linguistics, cognitive psychology and neuroscience, the present interdisciplinary thesis provides insights into word semantics as regards differences related to the cognitive dimension of concreteness and its relation to sensory and emotional meaning features.
Global Sensitivity Analysis: a tool to analyse LCA variability of energy systems

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Global Sensitivity Analysis: a tool to analyse LCA variability of energy systems Pierryves Padey, Denis Le Boulch, Robin Girard, Isabelle Blanc
Pronouns in competition: Predicting acquisition delays cross-linguistically

It is well known that English children between the age of 4 and 6 display a socalled Delay of Principle B Effect (DPBE) in that they allow pronouns to refer to a local c-commanding antecedent. Their guessing pattern with pronouns contrasts with their adult-like interpretation of reflexives. The DPBE has been explained as resulting from a lack of pragmatic knowledge or insufficient cognitive resources. However, such extra-grammatical accounts cannot explain why the DPBE only shows up in particular languages and in particular syntactic environments. Moreover, such accounts fail to explain why the DPBE only emerges in comprehension and not in production. This paper hypothesizes that the presence or absence of the DPBE can be explained from the properties of the grammar. Fischer’s (2004) optimality-theoretic analysis of binding, explaining crosslinguistic variation, and Hendriks and Spenader’s (2005/6) optimality-theoretic account of the acquisition of pronouns and reflexives are combined into a single model. This model yields testable predictions with respect to the presence or absence of the DPBE in particular languages, in particular syntactic environments, and in comprehension and/or production.
Real-time surveillance video display with salience

In this paper, we aim at providing a means for efficient display of surveillance video. In video surveillance, usually, there are certain regions of interest (ROIs), such as entrance or exit, and moving objects or persons, which should be paid more attention. By tracking and locally zooming the ROI, the proposed method adds salience on it to help surveillant to locate such important region effectively. Here, salience means highlighting special region locally. Given an input video signal, the ROI is detected first. The original video frame is mapped as a texture on a deformed mesh to produce the zoom effect. The position and shape of the ROI determine the mesh deformation. By experiment, we show that the proposed method is effective and efficient.
Transcriptional regulation of crystallin, redox, and apoptotic genes by C-Phycocyanin in the selenite-induced cataractogenic rat model

Purpose This study was designed to examine the constrictive potential of C-Phycocyanin (C-PC) in regulating changes imposed on gene expression in the selenite-induced cataract model. Methods Wistar rat pups were divided into three groups of eight each. On P10, Group I received an intraperitoneal injection of normal saline. Groups II and III received a subcutaneous injection of sodium selenite (19 μmol/kg bodyweight); Group III also received an intraperitoneal injection of C-PC (200 mg/kg bodyweight) on P9–14. Total RNA was isolated on P16, and the relative abundance of mRNA of the crystallin structural genes, redox components, and apoptotic cascade were ascertained with real-time PCR with reference to the internal control β-actin. Results Real-time PCR analysis showed the crystallin genes (αA-, βB1-, γD-) and redox cycle components (Cat, SOD-1, Gpx) were downregulated, the apoptotic components were upregulated, and antiapoptotic Bcl-2 was downregulated in Group II. Treatment with 200 mg/kg bodyweight C-PC (Group III) transcriptionally regulated the instability of the expression of these genes, thus ensuring C-PC is a prospective anticataractogenic agent that probably delays the onset and progression of cataractogenesis induced by sodium selenite. Conclusions C-PC treatment possibly prevented cataractogenesis triggered by sodium selenite, by regulating the lens crystallin, redox genes, and apoptotic cascade mRNA expression and thus maintains lens transparency. C-PC may be developed as a potential antioxidant compound applied in the future to prevent and treat age-related cataract.
Compound Heterozygosity for Two Novel SLC26A4 Mutations in a Large Iranian Pedigree with Pendred Syndrome

Objectives The aim of this study was to detect the genetic cause of deafness in a large Iranian family. Due to the importance of SLC26A4 in causing hearing loss, information about the gene mutations can be beneficial in molecular detection and management of deaf patients. Methods We investigated the genetic etiology in a large consanguineous family with 9 deaf patients from Fars province of Iran with no GJB2 mutations. Initially, linkage analysis was performed by four DFNB4 short tandem repeat markers. The result showed linkage to DFNB4 locus. Following that, DNA sequencing of all 21 exons, their adjacent intronic sequences and the promoter of SLC26A4 was carried out for mutation detection. Results Two novel mutations (c.863-864insT and c.881-882delAC) were identified in exon 7 of the gene, in both homozygous and compound heterozygous state in patients. Conclusion Our results supported the importance of the SLC26A4 mutations in the etiology of hearing loss among the Iranian patients and therefore its mutation screening should be considered after GJB2 in the molecular diagnostics of hearing loss, especially when enlarged vestibular aqueduct or goiter is detected.
Short Text Matching in Performance Management

In “Role” based Performance Appraisal process the evaluation of Individuals is done based on the meeting of target for “Goals” given to that individual in the speciﬁed time period. Standardization of goals with the help of a pre deﬁned “template” is important for completeness and correctness of role deﬁnition and comparing two individuals. Since a goal is a short textual description of expected activity we pose this as a matching problem and explore two diﬀerent approaches that use minimal human supervision. First approach is based on co-training framework which uses goal description and available additional information in the form of self comments. The second approach uses semantic similarity using weak supervision framework. We demonstrate superior performance of the two approaches as compared to multiple baselines. First approach gives better recall while second approach scores better in precision. Based on the objective of the end application any of the approaches can be used.
Automatic Emotion Regulation:Sociocultural and Neuroscientific Considerations

Most prior research has focused on deliberate forms of emotion regulation but left out an important aspect of emotion regulation,namely,automatic emotion regulation(AER),which is prevalent in our daily life.Similar to automatic processing,automatic emotion regulation works effectively on any aspect of one's emotions without making a conscious decision to do so,without paying attention to the process of regulating one's emotions,and without engaging in deliberate control.Antecedent-focused AER(those mostly taking place before the emotion is fully initiated) seems to be relatively adaptive while response-focused AER(those mostly taking place after an emotion is initiated) seems to be relatively maladaptive.The neural correlates of response-focused AER are different from antecedent-focused AER.The notion of an adaptive type of AER is in line with sociocultural considerations.Sociocultural context plays an important role in shaping AER.Cognitive processing within AER can become automatized with repeated cultural norms and practices.
Virtics : A System for Privilege Separation of Legacy Desktop Applications

Legacy desktop applications – the applications in use on most desktops today – often process data from multiple untrusted sources. If an application makes a mistake when processing this data, the integrity of the application, and potentially the entire system, can be compromised. We introduce a new operating system primitive that enables an application running on a legacy OS to efficiently create unprivileged virtual machines when dealing with untrusted data. These virtual machines can then perform all of the complex operations needed to process and render the application’s data. The resulting window content is transparently mapped into the window space of the application. Using this primitive, we built an evince-based PDF viewer that limits PDF exploits to controlling an unprivileged virtual machine with file access only to the PDF itself. We also built a WebKit-based web browser which limits browser exploits to controlling an unprivileged virtual machine with access solely to the contents of the tab in which the exploit occurred. We further show how a whole suite of desktop applications can use our new primitive to separate privileges when dealing with untrusted data. Moving recursively upwards, we can view the operating system itself as an application that needs privilege separation when dealing with untrusted data from multiple sources (i.e. the different applications it runs). We describe a prototype implementation of an operating system that manages its applications in this way.
Creativity and Illness: An anecdotal exploration of a writing practice; Coming Undone: A collection of poems & a thesis as an anecdotal exploration of a writing practice

ii Acknowledgments . iii Poetry: Coming Undone Part 1 (Denial) . 1 Coming Undone Part 2 (Anger). 31 Coming Undone Part 3 (Acceptance) . 51 Creativity and Illness: an Anecdotal Exploration of a Writing Practice: Introduction.83 Freud and Past Grief.89 Living différance: Illness Derrida and Poetry.94 Am I the Wounded Storyteller? 110 Poetry of an Illness . 122 Conclusion . 137 Coda . 140 Works Cited.149 Appendix.152 Bibliography . 157 At the request of the author, pages 1-81 of this thesis are not available for public viewing.