Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Evaluation of Low-Latency Communication Middleware on High Performance Computing Systems

El interes en Java para computacion paralela esta motivado por sus interesantes caracteristicas, tales como su soporte multithread, portabilidad, facilidad de aprendizaje,alta productividad y el aumento significativo en su rendimiento omputacional. No obstante, las aplicaciones paralelas en Java carecen generalmente de mecanismos de comunicacion eficientes, los cuales utilizan a menudo protocolos basados en sockets incapaces de obtener el maximo provecho de las redes de baja latencia, obstaculizando la adopcion de Java en computacion de altas prestaciones (High Per- formance Computing, HPC). Esta Tesis Doctoral presenta el diseno, implementacion y evaluacion de soluciones de comunicacion en Java que superan esta limitacion. En consecuencia, se desarrollaron multiples dispositivos de comunicacion a bajo nivel para paso de mensajes en Java (Message-Passing in Java, MPJ) que aprovechan al maximo el hardware de red subyacente mediante operaciones de acceso directo a memoria remota que proporcionan comunicaciones de baja latencia. Tambien se incluye una biblioteca de paso de mensajes en Java totalmente funcional, FastMPJ, en la cual se integraron los dispositivos de comunicacion. La evaluacion experimental ha mostrado que las primitivas de comunicacion de FastMPJ son competitivas en comparacion con bibliotecas nativas, aumentando significativamente la escalabilidad de aplicaciones MPJ. Por otro lado, esta Tesis analiza el potencial de la computacion en la nube (cloud computing) para HPC, donde el modelo de distribucion de infraestructura como servicio (Infrastructure as a Service, IaaS) emerge como una alternativa viable a los sistemas HPC tradicionales. La evaluacion del rendimiento de recursos cloud especificos para HPC del proveedor lider, Amazon EC2, ha puesto de manifiesto el impacto significativo que la virtualizacion impone en la red, impidiendo mover las aplicaciones intensivas en comunicaciones a la nube. La clave reside en un soporte de virtualizacion apropiado, como el acceso directo al hardware de red, junto con las directrices para la optimizacion del rendimiento sugeridas en esta Tesis.
Pengaruh Komunikasi, Motivasi Kerja Dan Kompetensi Terhadap Kepuasan Kerja Serta Implikasinya Pada Kinerja Dosen Pada Perguruan Tinggi Pariwisata Swasta Di Jawa Barat

The background to this research is based upon the phenomenon that is where lectures performances is not optimal so that the students' quality not favorable. As for the main factor, is the despicable performance of lecturer job satisfaction is low. Based on the previous researches, low job satisfaction is often caused by non-optimal of communication, work motivation and competences of lecturers at the private tourism college in west java. This study aims to acknowledge and analyze the impact of communication, work motivation and competences on job satisfaction and its implication on lecturers' performance in West Java private tourism college. This study uses a descriptive and explanatory survey approach. In this study, the samples were 224 lecturers in west java private colleges. The research used path analysis to interpret and explain the data result. The research concludes that there is an influence of the communication on job satisfaction of 3, 6%. Furthermore, the effect of work motivation on job satisfaction was 20, 3% and the effect of competences on job satisfaction were 12, 9%. In overall, the influence of independent variables on the job satisfaction was 70%, while the remaining 30% was from the other factors which were not examined for this research.
Query-by-Pointing: Algorithms and Pointing Error Compensation

Pointing can be used to visualize or exchange information about an object when there is no other mutually understood way of communication. Despite its proven expressiveness, however, it has not yet become a frequently used modality to interact with computer systems. With the rapid move towards the adoption of mobile technologies, geographic information systems (GISs) have a particular need for advanced forms of interaction that enable users to query the geographic world directly. To enable pointing-based query system on a handheld device, a number of fundamental technical challenges have to be overcome. For such a system to materialize we need models stored in the device's knowledge base that can be used as surrogate of real world objects. These computations, however, assume that (1) the pointing direction matches with the line-of-sight and (2) the observations about location and direction are precise enough so that a computational model will determine the same object as what the user points at. Both assumptions are not true. This thesis, therefore, develops an efficient error compensation model to reduce the discrepancy between the line-of-sight of the eye and the pointer direction. The model is based on a coordinate system centered at the neck and distances measured from neck to eye, neck to shoulder, shoulder to handheld pointer, and the pointing direction. An experiment was conducted using a gyro-enhanced sensor and three subjects who pointed at marked targets in a given room. It showed that the error compensation algorithm significantly reduces errors in pointing with arms outstretched. ACKNOWLEDGMENTS I would like to express my sincere thanks and gratitude towards my thesis advisor Dr. Anthony Stefanidis, for their support and guidance. I would like to specially thank Dr. Hans for his willingness to discussions, which helped me in clarifying many doubts. I thank him for his support and guidance. research would not have been possible without the huge personal and academic support from Mehwish and I thank her for sharing every moment of this thesis with me. Finally, I thank all my family members, my parents, sister, and brother-in-law for their love and support through all the years and encouraging me in all my endeavors.
Pindar's Homer: The Lyric Possession of An Epic Past

Nagy challenges the widely held view that the development of lyric poetry in Greece represents the rise of individual innovation over collective tradition. Arguing that Greek lyric represents a tradition in its own right, Nagy shows how the form of Greek epic is in fact a differentiation of forms found in Greek lyric. (Criticism)
Nanoscale spatially-resolved characterization of photovoltaic devices and materials

La tecnologia solar i fotovoltaica ha experimentat un important creixement durant els ultims anys, i es preveu que sigui una de les principals fonts d'energia en un futur proper. Aquest creixement esta relacionat amb una reduccio significativa dels costos de produccio i fabricacio, aixi com amb una important evolucio dels dispositius fotovoltaics que ha originat un increment en l'eficiencia de les actuals cel·lules solars. En el context del desenvolupament de nous dispositius fotovoltaics, la caracteritzacio de materials es considera una tasca determinant. Aixi, tenint en compte que els dispositius fotovoltaics evolucionen cap a sistemes mes prims i estructures mes petites, les tecniques de caracteritzacio d'alta resolucio representen un paper rellevant en l'evolucio i desenvolupament de la tecnologia solar i fotovoltaica. En el present treball, s’utilitzen diferents tecniques de caracteritzacio d'alta resolucio per estudiar determinades caracteristiques de dispositius solars basats en silici cristal·li. Entre les tecniques utilitzades trobem la microscopia per sonda kelvin, l’espectroscopia Raman i l’espectroscopia de fotoluminescencia. En concret, el treball es centra fonamentalment en l'estudi de capes de passivacio superficial, aixi com en l'estudi de contactes electrics locals processats mitjancant tecnologia laser. L'elevada resolucio de les tecniques de caracteritzacio utilitzades en aquest treball ens permet accedir a informacio unica i exclusiva sobre certes propietats dels sistemes i materials estudiats. D'aquesta manera, la informacio obtinguda representa la base per optimitzar i millorar els dispositius fotovoltaics actuals. En la part final del treball, les mateixes tecniques experimentals s'utilitzen per estudiar l'ordenament molecular de diferents capes organiques utilitzades en dispositius fotovoltaics d’ultima generacio. Els sistemes fotovoltaics organics mostren atractives propietats com flexibilitat i baix cost, les quals posicionen a aquests sistemes com possibles candidats per un ampli ventall de noves aplicacions. Amb aquest ultim estudi es vol demostrar la versatilitat i potencial de les tecniques experimentals utilitzades en aquest treball per a l'estudi de materials i dispositius fotovoltaics.
Factors in Performance on Brief, Impromptu Essay Examinations. College Board Report No. 95-4.

Brief, impromptu essays written for the 1990 administration of the College Board's English Composition Test (ECT) were randomly sampled for four different groups of examinees. These essays were subjected to further holistic ratings beyond those conducted for the ECT administration, and analytical ratings were also obtained. The holistic scores were correlated with the analytical scores to determine which essay characteristics were most closely associated with high holistic scores. The results indicated that overall organization, use of supporting materials, noteworthy ideas, rhetorical strategy, and thesis statement were the strongest correlates. Comparisons with the results of a previous study of 1979 ECT essays, written on a different topic, showed that these same characteristics were also most closely associated with high holistic scores in that study. These characteristics correlated strongly with high holistic scores for all subgroups randomly sampled, and for males and females. Additional factors associated with better holistic scores but studied only for the 1990 topic included following instructions, completion of the task, use of a standard essay format, use of literary references, and proficiency in the English language. Certain types of essay content were also associated with higher scores on the 1990 topic. Essays combining current affairs with literature and history or combining literature and history received slightly higher scores on average than essays based only on current affairs, literature, history, or personal experience. Nevertheless, some essays receiving high scores were based solely on personal experience, did not contain literary references, and did not use a standard essay format. The analyses suggest that some practice with this type of brief, impromptu essay, particularly under strict time constraints, may be useful as preparation for taking such essay examinations.
Fuzzy Support Vector Machines for Pattern Recognition and Data Mining

A high-frequency device, comprising a number of solenoid coils which are arranged in a row along the edge of a board. Parallel to the row of coils there is provided a plate which extends perpendicularly to the board and which is provided with apertures which are coaxial with the coils. Adjusting cores for adjusting the coils are provided in the apertures.
Wondrous Words : Writers and Writing in the Elementary Classroom

ERIC ED430233 Wondrous Words: Writers and Writing in . Drawing on stories from classrooms, examples of student writing, and illustrations, this book explains in practical terms the theoretical underpinnings of how elementary school students learn to write from their reading. Beginning with the concepts that underlie how writing teachers teach students to write by studying other writers, it goes on to explore ways to help children read like writers.
Reconstructing Mathematics Education: Stories of Teachers Meeting the Challenge of Reform

In recent years, a consensus has emerged around a constructivist vision for mathematics education, but few have seriously considered how to realise this vision. Employing case studies, the authors provide images of what is possible with this new mathematics pedagogy. "Reconstructing Mathematics Education" contains the experiences of teachers who, guided by evolving constructivist understandings of mathematics learning, work to bring the vision to life in their day-to-day practice. The reader is frequently brought into classrooms to observe students engaged in mathematical activity: second graders hypothesising about even and odd numbers; third graders demonstrating the commutative property of multiplication; sixth graders puzzling over the mysteries of fractions. In each situation, the authors consider the teacher's intentions in designing the activity, the instructional decisions she makes as the children engage in it, and her reflections afterwards.
Reinforcement Learning Algorithms Based on the Methods of Temporal Differences

The reinforcement learning paradigm di ers signi cantly from the traditional supervised learning paradigm. An agent in each particular input situation must generate an action. Then it receives a reinforcement value from the environment, providing a measure of the agent's performance. The task for the agent is to maximize the reinforcement values it receives in long term. Reinforcement learning agents are adaptive, reactive, and self-improving. To formulate a particular task as a reinforcement learning task one just has to design an appropriate reinforcement function, specifying the goal of the task. This makes the paradigm widely applicable, especially in such domains as game playing, automatic control, and robotics. The reinforcement value received by the agent at a particular time step may re ect the positive or negative consequences of actions taken several steps before. In order to deal with such delayed reinforcement one needs some algorithms for temporal credit assignment. This thesis concentrates on a class of algorithms based on Sutton's temporal di erences (TD) methods. The AHC and Q-learning algorithms are well known instances of this class. The TTD procedure is proposed for the e cient and general implementation of this class of algorithms, as an alternative to the traditional so called eligibility traces implementation, which is found to su er from both ine cciency and lack of generality. Important practical issues in using these algorithms are discussed. The problem of learning with multidimensional actions is addressed and a simple way to generalize appropriately TD-based algorithms is presented. It is argued that existing one-dimensional algorithms are hardly applicable to tasks with vector actions and that the proposed extensions, despite their simplicity, constitute a promising approach to this problem, though they require further work. A novel genetics-based reinforcement learning architecture is introduced. It combines Q-learning with genetics-based knowledge representation and rule discovery mechanisms. For the class of learning problems considered in this thesis, it can be a promising alternative to Holland's classi er systems with the bucket brigade temporal credit assignment algorithm. For all described algorithms experimental results are presented, illustrating their performance. Several important open problems in reinforcement learning are identi ed and directions for future research are outlined. i
Primary User Emulation Attacks in Cognitive Radio - An Experimental Demonstration and Analysis

Cognitive radio networks rely on the ability to avoid primary users, owners of the frequency, and prevent collisions for effective communication to take place. Additional malicious secondary users, jammers, may use a primary user emulation attacks to take advantage of the secondary user’s ability to avoid primary users and cause excessive and unexpected disruptions to communications. Two jamming / antijamming methods are investigated on Ettus Labs USRP 2 radios. First, pseudorandom channel hopping schemes are implemented for jammers to seek-and-disrupt secondary users while secondary users apply similar schemes to avoid all primary user signatures. In the second method the jammer uses adversarial bandit algorithms to avoid channels already heavily disrupted from primary user communications and concentrate efforts on channels heavily populated by secondary user communications. In addition the secondary users apply similar methods to avoid channels heavily occupied by jammers and primary users. The performance of these users is compared with and without the algorithm through channel delay, impact of algorithm on probability density functions, and user collision rate. Conclusions on made on the effectiveness of each technique.
Analyze of the MPEG-4 compressed streams

In this paper, an analysis of video quality of compressed MPEG-4 stream is performed. The video quality is performed using a test system composed by two metering devices: TEKTRONIX PQA500 Picture Quality Analyzer and TEKTRONIX MTS4EA Elementary Stream Analyzer. The measured parameters of compressed MPEG-4 signal are: macro block measurements and PSNR.
Latent variable models: an introduction to factor, path, and structural analysis

This text provides an introduction to a growing area in the social and behavioural sciences - the modelling of systems in which one or more variables are hypothesized but not directly observed. Providing a conceptually unified treatment of moelling of this type - exploratory and confirmatory factor analysis, path analysis and structural analysis - it is intended to introduce these techniques to individuals who have had some exposure to statistical methods in general but are beginners in this particular area. Using an inductive and informal approach, it emphasizes the use of path diagrams and a variety of concrete examples, and keeps the mathematics largely intuitive. Examples are drawn from a variety of fields, including psychometrics, sociology, psychology, education and behaviour genetics. Some introductory material is provided for LISREL, EQS and CALIS and for exploratory factor analysis programs in SAS, SPSS and BMPD, but the book is not closely tied to any one computer program or statistical package.
Navigating Terminology Hierarchies to Access a Digital Library of Medical Images

Browsing is an interactive and exploratory process for nding information in a digital library that has advantages over search term queries in many situations. Some browsers display a concept space as a node-link graph diagram, but this can look chaotic for a graph of moderate complexity. The approach taken in this paper is to suppress some of the interrelationships (links) and order the concept space as a tree by somènatural' hierarchy. The user can then explore hidden interrelationships by dynamically interacting with the system. We demonstrate the usefulness of browsing a hierarchy via this method in a prototype called MeSHBROWSE, a system for browsing terms from the NLM Medical Subject Headings tree. It displays a node-link tree diagram of the concept space and reveals hidden interrelationships when a node is clicked on by triggering related nodes scattered about the tree to become highlighted. In this paper we describe MeSHBROWSE, discuss semantic and algorithmic issues involved with it, and discuss its implications for further research.
Utilizing social bookmarking tag space for web content discovery: a social network analysis approach

Social bookmarking has gained popularity since the advent of Web 2.0. Keywords known as tags are created to annotate web content, and the resulting tag space composed of the tags, the resources, and the users arises as a new platform for web content discovery. Useful and interesting web resources can be located through searching and browsing based on tags, as well as following the user-user connections formed in the social bookmarking community. However, the effectiveness of tag-based search is limited due to the lack of explicitly represented semantics in the tag space. In addition, social connections between users are underused for web content discovery because of the inadequate social functions. In this research, we propose a comprehensive framework to reorganize the flat tag space into a hierarchical faceted model. We also studied the structure and properties of various networks emerging from the tag space for the purpose of more efficient web content discovery. The major research approach used in this research is social network analysis (SNA), together with methodologies employed in design science research. The contribution of our research includes: (i) a faceted model to categorize social bookmarking tags; (ii) a relationship ontology to represent the semantics of relationships between tags; (iii) heuristics to reorganize the flat tag space into a hierarchical faceted model using analysis of tag-tag co-occurrence networks; (iv) an implemented prototype system as proof-of-concept to validate the feasibility of the reorganization approach; (v) a set of evaluations of the social functions of the current networking features of social bookmarking and a series of recommendations as to how to improve the social functions to facilitate web content discovery.
LOAD BALANCING TECHNIQUES FOR I/O INTENSIVE TASKS ON HETEROGENEOUS CLUSTERS

Load balancing schemes in a cluster system play a critically important role in developing highperformance cluster computing platform. Existing load balancing approaches are concerned with the effective usage of CPU and memory resources. I/O-intensive tasks running on a heterogeneous cluster need a highly effective usage of global I/O resources, previous CPU-or memory-centric load balancing schemes suffer signiﬁcant performance drop under I/O- intensive workload due to the imbalance of I/O load. To solve this problem, Zhang et al. developed two I/O-aware load-balancing schemes, which consider system heterogeneity and migrate more I/O-intensive tasks from a node with high I/O utilization to those with low I/O utilization. If the workload is memory-intensive in nature, the new method applies a memory-based load balancing policy to assign the tasks. Likewise, when the workload becomes CPU-intensive, their scheme leverages a CPU-based policy as an efﬁcient means to balance the system load. In doing so, the proposed approach maintains the same level of performance as the existing schemes when I/O load is low or well balanced. Results from a trace-driven simulation study show that, when a workload is I/O-intensive, the proposed schemes improve the performance with respect to mean slowdown over the existing schemes by up to a factor of 8. In addition, the slowdowns of almost all the policies increase consistently with the system heterogeneity.