Miracle-dz/UniFAR-FTUs huggingface dataset:
High-Dimensional Probability

High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate theory, key tools, and modern applications of high-dimensional probability. Concentration inequalities form the core, and it covers both classical results such as Hoeffding's and Chernoff's inequalities and modern developments such as the matrix Bernstein's inequality. It then introduces the powerful methods based on stochastic processes, including such tools as Slepian's, Sudakov's, and Dudley's inequalities, as well as generic chaining and bounds based on VC dimension. A broad range of illustrations is embedded throughout, including classical and modern results for covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, machine learning, compressed sensing, and sparse regression.
OpenThesaurus: ein offenes deutsches Wortnetz

OpenThesaurus ist ein deutsches Wortnetz, das Synonymgruppen und Ober- und Unterbegriffe erfasst. Im Gegensatz zu anderen Wortnetzen wird es nicht (nur) von Linguisten weiterentwickelt, sondern steht jedem zur aktiven Mitarbeit offen. Diese Offenheit bringt Einschrankungen mit sich, was den Detailreichtum der einzelnen Eintrage angeht. Andererseits erlaubt die kostenlose Veroffentlichung der Daten und der Software neue Anwendungen, die mit deutschen Wortnetzen bisher nicht moglich waren. OpenThesaurus is a German wordnet which contains synonym sets and superordinate and subordinate relations between these synonym sets. Unlike other wordnets it is not (only) created by linguists, but everybody is free to contribute. This fact imposes some limitations to the linguistic richness of the thesaurus entries. On the other hand the free availability of both data and software allows new applications that had not been possible before with German wordnets.
Human–robot collaboration in industrial applications

Human–robot collaboration is a key factor for the development of factories of the future, a space in which humans and robots can work and carry out tasks together. Safety is one of the most critical aspects in this collaborative human–robot paradigm. This article describes the experiments done and results achieved by the authors in the context of the FourByThree project, aiming to measure the trust of workers on fenceless human–robot collaboration in industrial robotic applications as well as to gauge the acceptance of different interaction mechanisms between robots and human beings.
Development of the huggable social robot Probo: on the conceptual design and software architecture

This dissertation presents the development of a huggable social robot named Probo. Probo embodies a stuffed imaginary animal, providing a soft touch and a huggable appearance. Probo's purpose is to serve as a multidisciplinary research platform for human-robot interaction focused on children. In terms of a social robot, Probo is classified as a social interface supporting non-verbal communication. Probo's social skills are thereby limited to a reactive level. To close the gap with higher levels of interaction, an innovative system for shared control with a human operator is introduced. The software architecture de nes a modular structure to incorporate all systems into a single control center. This control center is accompanied with a 3D virtual model of Probo, simulating all motions of the robot and providing a visual feedback to the operator. Additionally, the model allows us to advance on user-testing and evaluation of newly designed systems. The robot reacts on basic input stimuli that it perceives during interaction. The input stimuli, that can be referred to as low-level perceptions, are derived from vision analysis, audio analysis, touch analysis and object identification. The stimuli will influence the attention and homeostatic system, used to de ne the robot's point of attention, current emotional state and corresponding facial expression. The recognition of these facial expressions has been evaluated in various user-studies. To evaluate the collaboration of the software components, a social interactive game for children, Probogotchi, has been developed. To facilitate interaction with children, Probo has an identity and corresponding history. Safety is ensured through Probo's soft embodiment and intrinsic safe actuation systems. To convey the illusion of life in a robotic creature, tools for the creation and management of motion sequences are put into the hands of the operator. All motions generated from operator triggered systems are combined with the motions originating from the autonomous reactive systems. The resulting motion is subsequently smoothened and transmitted to the actuation systems. With future applications to come, Probo is an ideal platform to create a friendly companion for hospitalised children.
A New Data Access Mechanism for HDFS

With the era of big data emerging, Hadoop has become the de facto standard of big data processing platform. However, it is still difficult to get legacy applications, such as High Energy Physics (HEP) applications, to run efficiently on Hadoop platform. There are two reasons which lead to the difficulties mentioned above: firstly, random access is not supported on Hadoop File System (HDFS), secondly, it is difficult to make legacy applications adopt to HDFS streaming data processing mode. In order to address the two issues, a new read and write mechanism of HDFS is proposed. With this mechanism, data access is done on the local file system instead of through HDFS streaming interfaces. To enable files modified by users, three attributes including permissions, owner and group are imposed on Block objects. Blocks stored on Datanodes have the same attributes as the file they are owned by. Users can modify blocks when the Map task running locally, and HDFS is responsible to update the rest replicas later after the block modification finished. To further improve the performance of Hadoop system, a complete localization task execution mechanism is implemented for I/O intensive jobs. Test results show that average CPU utilization is improved by 10% with the new task selection strategy, data read and write performances are improved by about 10% and 30% separately.
Translating productively: texts, contexts and concepts Translating productively: texts, contexts and concepts Translating productively: texts, contexts and concepts Translating productively: texts, contexts and concepts

Summary Summary Summary Summary This paper examines the role of language and translation in social science research with a focus on methodological issues. So far, these have received relatively little attention in publications on social science methodologies as well as in lively languagerelated debates in human geography journals of recent years. The lack of methodological concern is surprising, as there seems to be an increasing interest in international and comparative research and practice. However, the literature suggests that in order to draw out the political implications of translation, which are otherwise glossed over, it needs to go beyond transferring text from source language to target language as a seamless reproduction of the original. Like this, it becomes an issue of methodological concern. I therefore suggest approaching translation as a productive open-ended process that pays close attention to specificities of contexts and concepts and makes cultural difference visible throughout the research process. This approach aims at decentring taken-for-granted assumptions about the clarity of meaning in the source as well as in the target language. In reviewing the existing literature on issues of language, power and translation this paper builds on my experiences of doing a PhD as a foreign student in England.
Simultaneous convergence of position and orientation of wheeled mobile robots using trajectory planning and robust controllers

This article is devoted to the design of robust position-tracking controllers for a perturbed wheeled mobile robot. We address the final objective of pose-regulation in a predefined time, which means that the robot position and orientation must reach desired final values simultaneously in a user-defined time. To do so, we propose the robust tracking of adequate trajectories for position coordinates, enforcing that the robot’s heading evolves tangent to the position trajectory and consequently the robot reaches a desired orientation. The robust tracking is achieved by a proportional–integral action or by a super-twisting sliding mode control. The main contribution of this article is a kinematic control approach for pose-regulation of wheeled mobile robots in which the orientation angle is not directly controlled in the closed-loop, which simplifies the structure of the control system with respect to existing approaches. An offline trajectory planning method based on parabolic and cubic curves is proposed and integrated with robust controllers to achieve good accuracy in the final values of position and orientation. The novelty in the trajectory planning is the generation of a set of candidate trajectories and the selection of one of them that favors the correction of the robot’s final orientation. Realistic simulations and experiments using a real robot show the good performance of the proposed scheme even in the presence of strong disturbances.
Efficient speech recognition system for hearing impaired children in classical Tamil language

This paper presents the development of the robust speech recognition system for the children with hearing impairment. It is a challenging task to recognise the distorted speeches of the hearing impaired since the characteristics of the speeches uttered by these people normally have variations in terms of accent, pronunciation and speed. Because of their inability to hear, they are not able to speak even though their nasal and oral cavities aiding for the speech production are perfect like normal persons. This work mainly emphasises the use of MFCC & MF-PLP features at the front end and HMM & K-means clustering at the back end. Performance of the system is evaluated and compared for the two modelling techniques and recognition accuracy is 94%, 97% and 84% for MFCC with HMM and accuracy is 98.3%, 93.5% and 93.6% for MF-PLP with K-means clustering for recognition system developed for recognising isolated digits, connected words and continuous speeches of hearing impaired. Noteworthy point to be mentioned is that, though the clustering technique is an old technique, it is proved that it gives better results as compared to HMM.
Preliminary Test Results for Stability and Control Characteristics of a Generic T-tail Transport Airplane at High Angle of Attack

Tests of a generic T-tail transport airplane, in flaps-up configuration, were conducted using two wind tunnels, a water tunnel, and computational fluid dynamics. Static force and moment testing, forced oscillation testing and dye flow visualization test techniques were used. The purpose of the testing was to obtain stability and control characteristics for development of a research flight simulator aerodynamic database. The purpose of that database was for assessment of aerodynamic model fidelity requirements to train airline pilots to recognize and recover from full stall conditions. Preliminary results, at initial stall conditions, include: an unstable stall pitch break, and near-neutral roll damping. Preliminary results, at deep stall conditions, include: a potential static longitudinal trim condition at approximately 35 degrees angle of attack, large aerodynamic asymmetries, and localized unstable dynamic stability.
Precise Performance Measures for Mechatronics Systems, Verified and Supported by New MATLAB Built-in Function

Mechatronics systems are supposed to operate with exceptional high levels of accuracy and speed despite adverse effects of system nonlinearities and uncertainties. Precise analytical expressions, as well as, numerical codes for evaluating and verifying the achieving of desired performance and ensuring that all design requirements are met, are of concern and highly required, This paper proposes derivation of accurate analytical expressions for mechatronics systems performance measures with minimum possible deviation at actual values, that can be used to calculate, evaluate and verify the actual mechatronics systems' performance. To verify the accuracy and correctness of derived analytical expressions, as well as to calculate and return the precise numerical v alues of performance specifications ,a new MATLAB built-in function is designed and used a long with MATLAB software capabilities, where the actual normalized values as well as derived analytical expressions was plotted and analyzed. The derived analyti cal expressions and new built-in function are only applied for first and second-order systems with no zeros and represent the essential qualities of higher-order systems with one or two dominant poles.
Facsimile Coding by Skipping White

The white block skipping (WBS) method of coding binary facsimile images consists of breaking each scan line into N picture-element (pel) blocks, then using "0" as the code word for all-white blocks and "1" followed by the binary pattern in the block for non-all-white blocks. In the first part of this paper, we derive (based on a first-order Markov source model) the optimum block size N and its corresponding minimum bit rate as functions of the average white and black run lengths of the image. In the second part of this paper, we propose a modified coding scheme where all-white scan lines are essentially skipped. This modified scheme is found to be as efficient as run length coding for transmitting texts.
Network Analysis of The Evolution of an Open Source Development Community

This research investigated the evolution of an open source development community by undertaking network analysis across time. Several open source communities have been previously studied using network analysis techniques, including Apache, Debian, Drupal, Python, and SourceForge. However, only static snapshots of the network were considered by previous research. In this research, we created a tool that can help researchers and practitioners to find out how the Eclipse development community dynamically evolved over time. The input dataset was collected from the Eclipse Foundation, and then the evolution of the Eclipse development community was visualized and analyzed by using different network analysis techniques. Six network analysis techniques were applied: (i) visualization, (ii) weight filtering, (iii) degree centrality, (iv) eigenvector centrality, (v) betweenness centrality, and (vi) closeness centrality. Results include the benefits of performing multiple techniques in combination, and the analysis of the evolution of an open source development community.
Investigating the use of synchronized clocks in tcp congestion control

In TCP Reno, the most common implementation of TCP, segment loss is the sole indicator of network congestion. TCP Reno only adjusts to congestion when segment loss has been detected in the network, thus TCP Reno's congestion control is tied to its error recovery mechanism. My dissertation thesis is that precise knowledge of one-way transit times can be used to improve the performance of TCP congestion control. Performance is measured in terms of network-level metrics, including packet loss and average queue sizes at congested links, and in terms of application-level metrics, including HTTP response times and throughput per HTTP response. A connection's forward path OTT is the amount of time it takes a packet to traverse all links from the sender to the receiver, including both propagation and queuing delays. Queues in routers build up before they overflow, resulting in increased OTTs. If all senders directly measure changes in OTTs and back off when the OTT indicates that congestion is occurring, congestion could be alleviated. I introduce a variant of TCP, called Sync-TCP, which uses synchronized clocks to gather a connection's OTT data. I use Sync-TCP as a platform for investigating techniques for detecting and responding to changes in OTTs. This dissertation makes the following contributions: (1) a method for measuring a flow's OTT and returning this exact timing information to the sender; (2) comparison of several methods for using OTTs to detect congestion; (3) Sync-TCP—a family of end-to-end congestion control mechanisms based on using OTTs for congestion detection; (4) study of standards-track TCP congestion control and error recovery mechanisms in the context of HTTP traffic. I will show that Sync-TCP provides lower packet loss, lower queue sizes, lower HTTP response times, and higher throughput per HTTP response than TCP Reno. Additionally, I will show that Sync-TCP offers performance comparable to that achieved by using router-based congestion control mechanisms. If all flows use Sync-TCP to react to increases in queuing delay, congestion could be alleviated quickly. This would result in overall shorter queues, faster response for interactive applications, and a more efficient use of network resources.
ACOUSTICS2008/457 Fine-phonetic variation in a computational model of word recognition

There is now considerable evidence from psycholinguistic and phonetic research that fine‐phonetic variation in the speech signal modulates human speech processing (HSP), and helps the listener segment a speech signal into syllables and words [e.g., Salverda et al., Cognition 90, 51‐89 (2003)]. This kind of information also appears to help the human perceptual system distinguish short words (like 'ham') from the longer words in which they are embedded (like 'hamster'). Salverda et al. showed that the lexical interpretation of an embedded sequence is related to its duration; a longer sequence tends to be interpreted as a monosyllabic word more often than a shorter one. Until recently, no computational models of HSP existed that are able to model this fine‐phonetic variation [Hawkins, J. of Phonetics 31, 373‐405 (2003)]. In this paper, we present Fine‐Tracker, a novel computational model of human word recognition that it is able to capture and use this fine‐grained acoustic‐phonetic variation during speech r.
Recent developments pertinent to processing of ENDF/B-6 type resonance cross section data.

In view of our increasing dependence on computations rather than construction and operation of more costly experimental facilities, the rigor and accuracy achievable by calculational methods certainly deserve more attention. This is particularly so for the Monte Carlo methods which are generally regarded as the ultimate computational standard for the entire nuclear community around the globe. One obvious question that one may raise is whether the numerical algorithms deployed to process cross sections accurately reflect the rigor of the state-of-the-art nuclear data. The case in point is particularly essential in the resolved and the unresolved resonance regions, which constitute the most demanding task in all processing codes for reactor applications. For the resolved energy region, the point-wise cross sections are highly fluctuating functions of energy and temperature. In light of the availability of a large body of resonance data spanning over the much expanded energy ranges for most of major nuclides, critical examinations and improvement where appropriate, of the existing methods are apparently in order. For the unresolved energy region, improvement of traditional methods based on statistical approaches for treating the self-shielding effects is also desirable. From the perspective of the Monte Carlo approach, an alternative means for generating the probability tables without the inevitable difficulties associated with statistical uncertainties and/or those with concerns of uniqueness is needed. The accuracy considerations provide the motivation for the recent efforts at ANL to upgrade the existing VIMB processing code developed in early 70's in order to deal processing codes with these issues. Various tasks of upgrading are still at various stages of development. The purpose of this paper is to present an up-to-date account of the work in progress.
UNDERSTANDING PEOPLE TITLE PROPERTIES TO IMPROVE INFORMATION EXTRACTION PROCESS

In this paper, we introduce a new approach to tackle the process of extracting information about people mentioned in the Arabic text. When a person name is mentioned in the Arabic text usually it is combined with a title, in this paper the focus is on the properties of those titles. We have identified six properties for each title with respect to gender, type, class, status, format, and entity existence. We have studied each property, identified all attributes and values that belong to each one of them and classified them accordingly. Sometimes person title is attached to an entity; we have also identified some properties for these entities and we show how they work in a harmony with person title properties. We use graphs for the implementation, nodes to represents person title, person name, entity and their properties, where edges are used to present inherited properties from parent nodes to child nodes.
Super high definition image digitizing system

A very-high-resolution image digitizing system that handles both still and motion images is presented. The system mainly consists of a high-resolution CCD line scanner and high-precision film transport equipment. Resolution characteristics are measured directly using test charts, and resolution of over 2048 pixels is obtained in both the vertical and horizontal direction. Therefore, this system can generate test sequences for super-high-definition images that have at least 2048*2048 pixels. Various corrections, such as shading-, gamma-, and color-correction and edge enhancement, are made, and good reproductions of original photo images are obtained. Sixteen standard images are digitized and prepared for coding simulations and other applications. <<ETX>>