Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Means to Examine Response to Spelling Treatment

According to a dual-route model of written language processing, spelling of irregular words provides an index of the status of lexical spelling procedures, whereas nonword spelling provides information about non-lexical processing that relies on phoneme-grapheme conversion. Because regular words can be spelled using either route, accuracy for such words may reflect the combined function of the two routes, and may be mathematically predicted on the basis of spelling accuracy for irregular words and nonwords. Pre- and post-treatment spelling performance of a group of eight individuals with acquired spelling impairment demonstrated the utility of comparing such predictions with actual performance.
Leveraging Structure to Improve Classification Performance in Sparsely Labeled Networks

We address the problem of classification in a partially labeled network (a.k.a. within-network classification), with an emphasis on tasks in which we have very few labeled instances to start with. Recent work has demonstrated the utility of collective classification (i.e., simultaneous inferences over class labels of related instances) in this general problem setting. However, the performance of collective classification algorithms can be adversely affected by the sparseness of labels in real-world networks. We show that on several real-world data sets, collective classification appears to offer little advantage in general and hurts performance in the worst cases. In this paper, we explore a complimentary approach to within-network classification that takes advantage of network structure. Our approach is motivated by the observation that real-world networks often provide a great deal more structural information than attribute information (e.g., class labels). Through experiments on supervised and semi-supervised classifiers of network data, we demonstrate that a small number of structural features can lead to consistent and sometimes dramatic improvements in classification performance. We also examine the relative utility of individual structural features and show that, in many cases, it is a combination of both local and global network structure that is most informative.
An Extension to State Machine Modeling: The Concept of Coupled State Machines

A layer in a communication system has at least three main interfaces: (1) A Service Access Point (SAP) for providing services to a user of an upper layer, (2) an inverse SAP for accessing services provided by a lower layer, and (3) a logical interface for communication purposes to a remote peer entity, which we call Connection Endpoint (CEP). The CEP actually specifies the communication protocol. In its entirety, the full specification of the communication layer results in a huge, complex state machine. It would be beneficial to individually specify the different interfaces of the communication layer and smoothly couple the specifications. Current modeling languages like the Unified Modeling Language (UML) do not offer a satisfying solution. In this paper, an extension is presented, which provides an approach to couple finite state machines. It enables a modeler not only to specify different aspects of a communication layer but also to describe their coordination and synchronization. Furthermore, the concept of coupled state machines can be used for other purposes as well, e.g. for specifying Application Programming Interfaces and modeling the observer pattern.
Toward Predictive Crime Analysis via Social Media, Big Data, and GIS Spatial Correlation

To support a dissertation proposal a link between social media, incident-based crime data, and data of public domain needed to be verified. A predictive crime-based artifact utilizing data mining and natural language processing techniques commingled with graphical information system architecture is complex. With respect to social media, an attempt was made to observe such an artifact’s data flexibility, process control, and predictive capabilities. Data and their capabilities were observed when preprocessing social media’s noisy data, government-based structured data, and obscurely collected field data for use in a predictive GIS artifact. To support project goals the approach for artifact design, data collection, and discussion of results was couched as an exploratory study. Results indicate a link between social media data and domain specific datasets exist. Questions for further observation and research deal with processing the subtle differences between structured and noisy data, weighted social media input layers, and time-series analysis.
Colouring Meaning: Collocation and connotation in figurative language

Primarily focused on idioms and other figurative phraseology, Colouring Meaning describes how the meanings of established phrases are enhanced, refocused and modified in everyday language use. Unlike many studies of creativity in language, this book-length survey addresses the matter at several levels, from the purely linguistic level of collocation, through its abstractions in colligation and semantic preference, to semantic prosody and connotation. This journey through both linguistic and cognitive levels involves the examination of habitual language and its exploitations, both mundane and colourful, explaining the phenomena observed in terms of current psycholinguistic research as well as corpus linguistics theory and analysis. The relationships between meaning in text and meaning in the mind are discussed at length and extensively illustrated with worked case studies to offer the reader a comprehensive overview of metaphorical and other secondary meanings as they emerge in real-world communicative situations.
RANCANGAN PENGEMBANGAN INSTRUMEN PENILAIAN PEMBELAJARAN BERBASIS DARING

Penelitian ini bertujuan untuk membuat sebuah rancangan pengembangan (blueprint) dalam pembuatan instrumen pembelajaran berbasis Daring. Penelitian pengembangan ini bertujuan untuk memudahkan cara pembuatan instrument pembelajaran yang sesuai dengan kaidah-kaidah pembelajaran dan berorientasi pada tujuan yang akan di capai dalam pembelajaran tersebut. Instrument pembelajaran berbasis daring ini bermaksud agar agat di akses oleh peserta didik secara lebih fleksibel tanpa terbatas ruang dan waktu, lebih efektif dan diharapkan juga dapat lebih efesien dalam penyelenggaraannya. Metode Peneitian yang digunakan adalah R & D, tetapi hanya sampai tahap perancangan saja, metode pengembangan ini menggunakan model pengembangan pembelajaran yang dikemukakan oleh Borg and Gall, Dick & Carrey dan J. Moonen. Hal ini dilakukan karena yang akan dikembangkan dalam penelitian ini adalah sebuah rancangan produk pengembangan instrumen tes pembelajaran. Adapun tahapan dalam pengembangan rancangan instrument tes pembelajaran adalah : (1)analisis kebutuhan, (2) perencanaan Produksi Perancangan Pengembangan Instrumen tes Pembelajaran, dalam hal ini menggunakan model pengembangan Borg and Gall, Dick & Carrey dan J. Moonen (3) validasi, evaluasi dan revisi model, meliputi : telaah pakar dan evaluasi one to one (4) Implementasi Model, dilakukan dengan menggunakan desain eksperimental.
QueueLinker: A Framework for Parallel Distributed Data-Stream Processing

Acknowledgements Firstly, I would like to express my immense gratitude toward my supervisor, Prof. research started as part of a big project led by him. Without the help and guidance of Prof. Yamana, the completion of this research would have been a far more difficult task. The state-of-the-art computer resources in our laboratory, which were essential for carrying out my research, are a result of his dedicated efforts. Prof. Yamana also encouraged me to give many conference presentations and conduct a variety of academic activities, and these gave me the opportunity to harness my skills and create personal connections. I would also like to express my gratitude to Prof. Y Yoichi Muraoka and Prof. University. I received a great deal of advice for this doctor thesis from them. Their deep knowledge of operating systems and parallel distributed computing led to enlightening discussions that helped me to better understand my subject. In addition, international conferences and business trips with them provided many valuable experiences of foreign societies. Dr. A Andrew Sohn, associate professor at the New Jersey Institute of Technology, gave much-appreciated advice for my research. In addition to him, my research career has been supported by many people outside Waseda University. Dr. H Hideyuki Kawashima, assistant professor at Tsukuba University, gave me a great deal of support and many academic opportunities. Drinking parties with him are always interesting. Science and Technology, provided many opportunities for my research career. A big project on distributed computing with him deeply affected my research. This experience with actual products provided me with great experience that could not have been achieved in my university. Moreover, the intern experience gave me an understanding of the importance of database systems. Here, I would also like to thank all of the members of Prof. Yamana's laboratory. ii In particular, I would like to thank Mr. K have graduated from the laboratory, and Mr. K Kou Satoh, who is currently my junior colleague. It would not have been possible to develop the Web crawler without their help. In addition, Mr. H Hiroaki Asai provided me with valuable Web data, including the Twitter streams that were indispensable in developing and testing my framework. Mr. Yusuke Yamamoto helped my research and managed the large number of servers. Mr. H Hiromasa Takei has a deep knowledge of mathematics, and discussions with him provided many interesting research ideas. I would also like to …
A Comparison of task management and lexical search mechanisms in novice and professional translators/interpreters

There is a fair amount of evidence available from past studies on the way language and translation students’, i.e. ‘novice translators’ handle the task of translation. The paper first examines this evidence in an attempt to summarise typical novice-translator behaviours in managing a translation task and lexical searches. We then present the results of a qualitative analysis of two professional translators/interpreters, who were subjects in a think-aloud study of 14 subjects in 2002 focusing on the way they manage lexical searches during a translation task as well as the time and manner of processing the source language text and target language text. Finally, the performance of the two professionals is compared with the performance of novice translators with the aim of identifying differences that might be responsible for higher speed and quality of target text output by professionals.
PyAline: Automatically Growing Language Family Trees Using the ALINE Distance

Several methods for determining a numerical distance between languages have been proposed in the literature. In this thesis I implement one of them, the ALINE distance, and develop a methodology for comparing its results with other language distance metrics. I then compare it with a leading distance metric, the LDND distance, proposed by the ASJP project.
Time-Frequency Analysis Of EEG Signals

| In the electroencephalogram (EEG), measured as potential diierences on the human head, variations of the amplitude and frequency of rhytmical activity are representative of certain neurological disorders. Therefore, time-frequency analysis of the EEG can add valuable information to the traditional visual interpretation, by providing an image of the spectral EEG contents varying with time. In this paper, diierent time-frequency distributions are compared with each other with respect to their time and frequency resolution and the extent of the cross-terms they present. Several examples are given to illustrate the usefulness of time-frequency analysis in electroencephalography.
The resistance to the steady motion of small spheres in fluids

There seems to be little reliable information conveniently available as to the resistance encountered by small spheres moving steadily at moderate speeds in fluids. The present paper, while presenting nothing new in the way of either theory or data, has three objects: first to show that published data are sufficient to furnish approximate information; second to present this information in form convenient for computation; and, third to indicate where further research is needed.
Experimentelle Auswertung von Unsicherheitsmaßen auf relativen Posen für die Multikamerakalibrierung

Zusammenfassung: Beim Zusammensetzen relativer Pose n zur extrinsischen Kalibrierung eines Multikamerasystems können mittels information s heoretischer Unsicherheitsmaße verlässliche relative Posen ausgewählt werden. Dadu rch lässt sich die Genauigkeit der resultierenden Kalibrierung deutlich verbessern. In dieser Arbeit werden quantitative experimentelle Untersuchungen solcher Unsicherheits maße und des zugehörigen Kalibrieralgorithmus durchgeführt. Dabei wird analy siert, wie sehr die Unsicherheitsmaße mit dem Fehler in den geschätzten relativen Posen k orrelieren. Außerdem wird der Vorteil dieser Auswahl relativer Posen im Vergleich zu eine r aiven oder zufälligen Auswahl aufgezeigt, wobei auch der Einfluss mehrerer Parame ter untersucht wird. Im Median wird eine Verbesserung um bis zu Faktor vier erreicht.
J-018 Study of Human Gesture Recognition by Integrating Face and Hand Motion Features

In order to understand natural human sign gestures fo Human Computer Interaction (HCI), it is necessary and impor tant to recognize the multimodal nature of the visual cues such as hand motion, facial motion, body pose, etc., which is kn ow to be a very challenging task. Our strategy to implement an integrated system that aims at extracting sufficient informati on for recognizing human gestures selected from sign langu ge relies on three modules. The first module uses active appeara nce models for detailed face tracking, allowing the quantifica t on of facial expressions such as mouth and eye aperture and eyeb row rise. The second module is dedicated to hand motion under standing using color and trajectories. Finally, the third mo dule combines the information coming from the first two modules t o provide robust human gesture recognition.
Stereophonic acousitic echo canceller withoout pre-processing

This paper proposes a stereophonic acoustic echo canceller without pre-processing which can identify the correct echo-paths. By dividing the ﬁlter coefﬁcients into two portions and update one part at a time, the ﬁlter coefﬁcient have an unique solution. Convergence analysis clariﬁes the condition for correct echo-path identiﬁcation. For fast convergence and stable adaptation, a convergence detection and an adaptive step-size are also introduced. The modiﬁcation amount of the ﬁlter coefﬁcients detects the convergence and also determines the step-size. Computer simulations show 10dB smaller coefﬁcient error than those of the con-ventional algorithms.
Trente ans de développement du champ de l’analyse qualitative

Il y a trente ans, lors de la fondation de la revue Recherches qualitatives, alors appelee Revue de l’Association pour la recherche qualitative, le champ de l’analyse qualitative, bien que sur la voie d’une reconnaissance et d’une formalisation aux Etats-Unis, faisait l’objet de peu de publications en anglais et restait pratiquement invisible dans le monde francophone. Le present article trace quelques grands moments et aspects de son developpement au cours des trente dernieres annees a partir de propos ramasses sous forme d’entretien par/avec l’auteur.
A Standalone High Frequency Receiver System

The High Frequency Receiver System (HFRS) is a mobile, autonomous, Linux-based RF recording system that is designed to pick up ionosonde sounding signals from 1–10 MHz. Systems are designed for quick deployment and capable of remaining deployed in the field for up to a month. The design motivation was for ionospheric sounding campaigns in New Mexico organized by the Air Force Research Laboratories (AFRL). The systems are calibrated to selected sites and thus require Radio Frequency Interference (RFI) characterization of the sites. The project includes building and using four standalone systems with associated power, antenna, RF, and remote control subsystems that are capable of streaming timestamped quadrature (I/Q) data straight to storage.
Ontologies for representation of folk song metadata

The digital management of collections in museums, archives, libraries and galleries is an increasingly important part of cultural heritage studies. This paper describes a representation for folk song metadata, based on the Web Ontology Language (OWL) implementation of the CIDOC Conceptual Reference Model. The OWL representation facilitates encoding and reasoning over a genre ontology, while the CIDOC model enables a representation of complex spatial containment and proximity relations among geographic regions. It is shown how complex queries of folk song metadata, relying on inference and not only retrieval, can be expressed in OWL and solved using a description logic reasoner.
Oracle Database 11gセキュリティガイド

内部統制と情報セキュリティ デジタル・アイデンティティと職務分掌を管理する リスク時代のデータベース・セキュリティ 情報セキュリティに影響を与えている法制度や規格 データベース・セキュリティの概要 Ｏｒａｃｌｅのデータベース・セキュリティ（基本編） 暗号化による機密情報の保護 データベース管理者の制限と高度なアクセスコントロール 監査ログとモニタリング パスワード認証の強化 データベース監査 Ａｄｖａｎｃｅｄ Ｓｅｃｕｒｉｔｙによる暗号化 Ｏｒａｃｌｅ Ｄａｔａｂａｓｅ Ｖａｕｌｔを使ったアクセスコントロール Ｏｒａｃｌｅのセキュリティ品質に関する取り組み（ＯＳＳＡ） ＳＱＬインジェクションについて
Shrunken learning rates do not improve AdaBoost on benchmark datasets

approved: Thomas G. Dietterich Recent work has shown that AdaBoost can be viewed as an algorithm that maximizes the margin on the training data via functional gradient descent. Under this interpretation, the weight computed by AdaBoost, for each hypothesis generated, can be viewed as a step size parameter in a gradient descent search. Friedman has suggested that shrinking these step sizes could produce improved generalization and reduce overfitting. In a series of experiments, he showed that very small step sizes did indeed reduce overfitting and improve generalization for three variants of GradientBoost, his generic functional gradient descent algorithm. For this report, we tested whether reduced learning rates can also improve generalization in AdaBoost. We tested AdaBoost (applied to C4.5 decision trees) with reduced learning rates on 28 benchmark datasets. The results show that reduced learning rates provide no statistically significant improvement on these datasets. We conclude that reduced learning rates cannot be recommended for use with boosted decision trees on datasets similar to these benchmark datasets. Redacted for Privacy Shrunken Learning Rates Do Not Improve AdaBoost On Benchmark Datasets by Daniel L. K. Forrest
Essentials of social research

This text covers an extensive amount of material in a five fold plan including: ongoing exercises of increasing difficulty to illustrate the text material; highlighting essential critical thinking skills, eg: sorting extensive amounts of material; coverage of both Quant and Qual research methods; explanations of the limitations and ambiguity of research findings and how to deal with that; and, explanations on how to critique and interpret already published research.
PETMAN : A Humanoid Robot for Testing Chemical Protective Clothing (特集 2足歩行ロボット技術)

Petman is an anthropomorphic robot designed to test chemical protective clothing (Fig. 1). Petman will test Individual Protective Equipment (IPE) in an environmentally controlled test chamber, where it will be exposed to chemical agents as it walks and does basic calisthenics. Chemical sensors embedded in the skin of the robot will measure if, when and where chemical agents are detected within the suit. The robot will perform its tests in a chamber under controlled temperature and wind conditions. A treadmill and turntable integrated into the wind tunnel chamber allow for sustained walking experiments that can be oriented relative to the wind. Petman’s skin is temperature controlled and even sweats in order to simulate physiologic conditions within the suit. When the robot is performing tests, a loose fitting Intelligent Safety Harness (ISH) will be present to support or catch and restart the robot should it lose balance or suffer a mechanical failure. The integrated system: the robot, chamber, treadmill/turntable, ISH and electrical, mechanical and software systems for testing IPE is called the Individual Protective Ensemble Mannequin System (Fig. 2) and is being built by a team of organizations. † In 2009 when we began the design of Petman, there was no humanoid robot in the world that could meet the requirements set out for this program. Previous suit testing robots such as Portonman from the Defense Science and Technology Laboratory used external actuation or fixtures to support the robot during exercises. Limitations of these systems include a limited repertoire of behaviors or the compromise of the protective suit
Cell tracking for automated analysis of timelapse microscopy

This document presents an algorithm to automatically perform two dimensional tracking of cells in in-vitro cultures. The developed software handles all the necessary data processing, from preprocessing the images to automaticallytracking the cells and it also provides an interface to manually correct the obtained cell trajectories and functions to analyze the data. The system is developed for, and tested on, muscle stem cells (MuSCs) but it can also be applied to other cell types that look and behave similarly. The software was used in a bio-medical study to investigate the effects on mouse MuSC fate caused by culturing the cells on substrates of different rigidities. In this study the software enabled important findings about cell behavior. The software is capable of handling automatic track initialization, false detections, adhering cells, death and cell division. These are functionalities that can all be problematic to achieve. Cell tracking is normally done manually, which is very labor intensive and limits the parameters that can be analyzed. Having reliable systems to analyze a wide range of cell types automatically would therefore greatly benefit research in cell biology. The software package described here was named the Baxter Algorithm after the Donald E. & Delia B. Baxter Foundation that funded it’s development.
Sparse Representation for Detection of Transients Using a Multi-Resolution Representation of the Auto-correlation of Wavelets

This thesis seeks to detect damped sinusoidal transients, specifically capacitor switching transients, buried in noise and to answer the following questions: 1. ) Can the transient s(t; q) be sparsely represented from sδ(t) = s(t; q) + (t) using sparsity methods, where (t) is white Gaussian noise? 2. ) Does computing the local auto-correlation of the signal around the transient improve detection? 3. ) How does the auto-correlation shell representation compare to the wavelet representation? 4. ) Which basis is ”best”? 5. ) Which method and representation is best? This thesis explores detection schemes based on classical methods and newer sparsity methods. Classical methods considered include reconstruction via wavelets and reconstruction in the novel multi-resolution representation based on the autocorrelation functions of compactly supported wavelets. For simplicity, only four bases are considered: Haar, Daubechies 2, Daubechies 4, and Symlets 2. Sparsity methods include the iterative soft, hard, and combined thresholding algorithms.