Miracle-dz/UniFAR-FTUs huggingface dataset:
Power System Oscillation Damping Control by Robust SVC Supplementary Controller (特集:電力系統へのパワエレ機器適用の新展開--系統解析,運用,制御の側面から)

An improved robust H. : optimization techniques is used to design a robust supplementary controller for the Static Var Compensator (SVC) to increase the power system damping. The existing H•‡ -approach for designing supplementary controller has limitation for the cancellation of the plant's poorly damped poles by the controller's zeros. In this case, supplementary controller designed with the standard H•‡ -approach is unable to increase the damping of the lightly damped modeeedeees and thereby affect the performance and robustness of the system. Therefore, the bilinear transform has been used in the design to prevent the pole-zero cancellation of the poorly damped poles and to improve the control system performance. The model variations, because of the system operating condition variations, are treated as model uncertainties and are taken into consideration at the controller design stage. The magnitude of the current in the transmission line, Im, is chosen as feedback signal. The performance of the controller has been evaluated extensively by non-linear simulation. The result have indicated that the designed controller can provide sufficient damping to the system under a wide range of operating conditions.
Bilgisayarlı görü yöntemleriyle sürücüde uykululuğun sezimi = Detecting driver drowsiness using computer vision techniques)

The advance of computing technology has provided the means for building intelligent vehicle systems. Drowsy driver detection system is one of the potential applications of intelligent vehicle systems. Here we employ machine learning techniques to detect driver drowsiness. The system obtained 98% performance in predicting driver drowsiness. This is the highest prediction rate reported to date for detecting real drowsiness. Moreover, the analysis revealed new information about human behavior during drowsy driving.
ASDF: Automated, Online Fingerpointing for Hadoop (CMU-PDL-08-104)

Localizing performance problems (or fingerpointing) is essential for distributed systems such as Hadoop that support long-running, parallelized, data-intensive computations over a large cluster of nodes. Manual fingerpointing does not scale in such environments because of the number of nodes and the number of performance metrics to be analyzed on each node. ASDF is an automated, online fingerpointing framework that transparently extracts and parses different time-varying data sources (e.g., sysstat, Hadoop logs) on each node, and implements multiple techniques (e.g., log analysis, correlation, clustering) to analyze these data sources jointly or in isolation. We demonstrate ASDF’s online fingerpointing for documented performance problems in Hadoop, under different workloads; our results indicate that ASDF incurs an average monitoring overhead of 0.38% of CPU time, and exhibits average online fingerpointing latencies of less than 1 minute with false-positive rates of less than 1%. 1ASDF stands for Automated System for Diagnosing Failures Acknowledgements: The authors would like to acknowledge Julio Lopez for discussions on Hadoop, Kathleen Carley for her insights on visualization, and Christos Faloutsos for discussions on data mining. This material is based on research sponsored in part by the National Science Foundation, via CAREER grant CCR-0238381 and grant CNS-0326453.
Semantic Web For Dummies

Semantic Web technology is already changing how we interact with data on the Web. By connecting random information on the Internet in new ways, Web 3.0, as it is sometimes called, represents an exciting online evolution.Whether youre a consumer doing research online, a business owner who wants to offer your customers the most useful Web site, or an IT manager eager to understand Semantic Web solutions, Semantic Web For Dummies is the place to start! It will help you: Know how the typical Internet user will recognize the effects of the Semantic WebExplore all the benefits the data Web offers to businesses and decide whether its right for your businessMake sense of the technology and identify applications for itSee how the Semantic Web is about data while the old Internet was about documentsTour the architectures, strategies, and standards involved in Semantic Web technologyLearn a bit about the languages that make it all work: Resource Description Framework (RDF) and Web Ontology Language (OWL)Discover the variety of information-based jobs that could become available in a data-driven economy Youll also find a quick primer on tech specifications, some key priorities for CIOs, and tools to help you sort the hype from the reality. There are case studies of early Semantic Web successes and a list of common myths you may encounter. Whether youre incorporating the Semantic Web in the workplace or using it at home, Semantic Web For Dummies will help you define, develop, implement, and use Web 3.0.
THE CASE FOR A HOLISTIC THEORY:SOCIOTECHNICAL ACCEPTANCEAND DETERMINISM

The purpose of this article is to present two existing information systems (IS) theories and the notion that they are not mutually exclusive as accepted presently, but are actually two parts of a larger reality when viewed holistically. The study explores the question of whether technology (i.e., Information Technology specifically) is an enabler for change (as accepted in sociotechnical theory) in business processes or is it a driver of that change (as proposed by technological determinism)? It argues that theory of determinism and the theory of sociotechnical change are not mutually exclusive but that the theories are part of the evolution of the relationship between technology and business processes. Specifically, information technology starts out as a tool to facilitate work processes, but then develops to a “point of optimization” and, from that point on, it dictates changes in business processes. Examples and cases are used to strengthen this thesis.
On a waiting-line process with a particular bulk-service.

Many mathematicians and technicians have been interested in the study of queuing theory for the past fifty years. We have many kinds of results on this problem, for example A. K. Erlang’s work on telephone engineering, works on the design of airports etc. In this paper we treat of more generalized case than that Mr. Kishi studied in his paper (1). For convenience, any item requiring service, be it human or mechanical, is referred to as a customer. The essential method used in this paper is based on one of Lindley (2).
Une solution opérationnelle de localisation pour des véhicules autonomes basée sur le SLAM

Les applications de la robotique mobile autonome en environnements exterieurs sont nombreuses : surveillance de site a la recherche d’anomalies, campagne d’acquisition de donnees,exploration, recherche de victimes sur des lieux de catastrophes, etc, et l’interet de la robotique pour ces applications est d’autant plus grand que les environnements peuvent etre dangereux ou risques pour l’homme. La localisation des robots est une fonction cle dans ces contextes car elle est indispensable a de nombreuses autres fonctions, particulierement la construction de modeles d’environnement, l’execution des trajectoires, ou la supervision des missions. Ces travaux presentent la construction d’une solution de localisation pour des robots autonomes,concue pour etre a la fois un outil generique de recherche et un outil operationnel pour localiser nos robots lors de leurs missions de navigation autonome, capable de gerer de fortes dynamiques de mouvement. En partant d’une solution de localisation et cartographie simultanees (SLAM) basee sur l’utilisation d’une simple camera, differentes solutions sont successivement construites en ajoutant progressivement des capteurs afin de pallier les difficultes rencontrees lors des evaluations, et ce jusqu’a obtenir un systeme robuste et precis combinant plusieurs cameras, une centrale inertielle et l’odometrie, et ayant en outre la possibilite d’integrer des estimations de positions absolues quand elles peuvent etre produites (par un recepteur GPS ou un algorithme exploitant une carte initiale). Une analyse profonde des capacites et limitations des differents systemes est systematiquement effectuee, en considerant notamment l’interet d’estimer enligne les calibrages extrinseques et biais des capteurs. Un accent particulier est mis sur l’execution temps reel des algorithmes a bord du robot et sur leur robustesse : cela implique la resolution de nombreux problemes, portant notamment sur les aspects temporels de la gestion des donnees. Une large evaluation sur differents jeux de donnees realistes permet d’evaluer et de valider les differents developpements proposes tout au long du manuscrit.
Evolution and turnover in scaling systems

Scaling has been discovered in the long tails of size distributions characterizing a variety of diverse systems, many of which evolve in terms of the size of their components through competition. Such time-invariant macro distributions, however, often obscure the micro-dynamics of change, such as continual turnover in the rank order of the constituents. Here we show how a model drawn from evolutionary theory can explain this change, such that the time spent in the top ranked constituents is finite and also characterized by longtailed distributions. To show the broad applicability of this model, we compare typical model runs to real-world examples including US boys’ names, UK Number One for pop albums, journal article keywords, and city sizes.
Analisa Pemberdayaan media online sebagai penunjang Informasi keislaman oleh lembaga pesantren di jombang.

Ditahun 2015 ini teknologi informasi sangat mengalami perkembangan yang pesat baik teknologi website maupun aplikasi media social yang dijalankan melaui handphone dan komputer, seperti android yang sudah mewabah pada ponsel dengan harga yang sangat terjangkau. Akan tetapi dengan seiringnya perkembangan teknologi Informasi sampai pada tahun ini, apakah diiringi juga dengan kondisi ilmu pengetahuan dan teknologi yang memadai? , dan apakah juga di iringi dengan kondisi psikologis masyarakat yang stabil di segala usia untuk mengkonsumsi teknologi informasi? Khususnya pada konsumer teknologi diusia remaja yang mengalami kondisi psikologis yang mengalami fluktuatif dan rasa ingin tahu yang lebih, khususnya remaja muslim yang berdomisili dipesantren. Namun data yang dihimpun oleh We Are Social, adalah sebuah agensi marketing sosial, mengeluarkan laporan tahunan mengenai data jumlah pengguna website, mobile, dan media sosial dari seluruh dunia. 72,7 juta pengguna aktif internet 72 juta pengguna aktif media sosial, 62 penggunanya mengakses media sosial menggunakan perangkat mobile, 308,2 juta pengguna handphone. Namun lembaga masyarakat yang berbau islami, sudah menerapkan kajian islam baik lewat media social maupun website lembaga tersebut, akan tetapi yang disayangkan, kementerian Komunikasi dan Informasi pernah membuat kebijakan menghapus 22 situs islam yang ada di Indonesia, dengan alasan website tersebut telah menjadi provokator untuk menjadi teroris atau islam radikal. Oleh Karena itu apakah lembaga pesantren sudah mengikuti perkembangan teknologi Informasi dalam mewadahi kajian Islami sesuai dengan undang-undang ITE yang ada di Indonesia? Akan tetapi dari data peneliti saat ini lembaga pesantren di jombang belum optimal menggunakan Teknologi Informasi sebagai wadah untuk menginformasikan atau membuat kajian islam online.
Reconciling ICT and Wearable Design: Ten Lessons from Working with Swatch

This paper describes a product development collaborationbetween Swatch, a wearable design company, and HewlettPackard (HP), a provider of Information and CommunicationTechnologies (ICT). For both companies, the interaction wasunique in that it required them to consider the deployment ofwearable computing technology and support services into anapplication space dominated by fashion design. The author of thispaper worked at Hewlett Packard Laboratories, and wasextensively involved in this joint work. The goal of the projectwas to broaden the market for Swatch’s designs by using ICT.However as the project progressed it became clear that theinfluence of ICT on fashion design is highly complex andreciprocal. This paper describes what was observed during the 3years of the joint project, and presents ten learned outcomes fromthe attempt to merge wearable computing with fashion design.
Code Profiling : Static Code Analysis

Capturing the quality of software and detecting sections for further scrutiny within are of high interest for industry as well as for education. Project managers request quality reports in order to evaluate the current status and to initiate appropriate improvement actions and teachers feel the need of detecting students which need extra attention and help in certain programming aspects. By means of software measurement software characteristics can be quantified and the produced measures analyzed to gain an understanding about the underlying software quality.In this study, the technique of code profiling (being the activity of creating a summary of distinctive characteristics of software code) was inspected, formulized and conducted by means of a sample group of 19 industry and 37 student programs. When software projects are analyzed by means of software measurements, a considerable amount of data is produced. The task is to organize the data and draw meaningful information from the measures produced, quickly and without high expenses.The results of this study indicated that code profiling can be a useful technique for quick program comparisons and continuous quality observations with several application scenarios in both industry and education.
Interaktive Visualisierung und Datenanalyse: Herausforderungen durch wachsende Datenmengen

Im Folgenden werden einige Ansatze diskutiert, wie interaktive Visualisierung angesichts wach­ sender Datenmengen weiterentwickelt werden kann. Neben der reinen Grose der Daten, die neue Herausforderungen an die Datenverarbeitung stellt, kann die zunehmende visuelle Komplexitat der erzeugten Darstellungen das menschliche Wahr­ nehmungsvermogen ubersteigen. Neue effiziente Darstellungsmethoden, die durch Merkmalsextrak­ tion und Interaktionsmoglichkeiten unterstutzt werden, bieten Losungsansatze. Es wird weiter untersucht, in welchem Verhaltnis Nutzen und Aufwand moglicher Losungen stehen.
A Systems Approach to Lithium-Ion Battery Management

Lithium Ion Battery Fundamentals Large Format Systems System Description Architectures Measurement Control BMS Functionality High Voltage Electronics Fundamentals Communications Battery Models Parameter Identification Limit Algorithms Charge Balancing State of Charge Estimation Algorithms State of Health Estimation Algorithms Fault Detection Hardware Implementation Software Implementation Safety Data Collection Robustness and Reliability Best Practice Future Developments.
Measuring and Modeling Applications for Content Distribution in the Internet

The focus of this dissertation is on measuring, analyzing and modeling emerging applications in the Internet. Specifically, we concentrate on understanding the internals of content distribution paradigms such as Peer-to-Peer (P2P) systems and podcasts. This dissertation consists of three main thrusts which we describe below. P2P streams have been reported to constitute nearly 61% of all upstream traffic. P2P streams are used for disseminating content ranging from video programs to linux images. This everpresent ubiquity of P2P networks has also allowed them to be used for sharing copyrighted material. This has resulted in organizations like the RIAA, taking legal action against file-sharers. As a result P2P users have employed defenses against being monitored by such organizations. We have found that a little caution pays off a lot, since there is a 100% probability of a naive P2P user being monitored when accessing these networks. Further, as a case study, we present a comprehensive study about eDonkey, a popular P2P network. We identify the limitations of current approaches to measure P2P networks. Additionally, we find that P2P flows traverse through the Internet quite differently than http flows. Based on this, we present metrics useful for distinguishing P2P traffic from other forms of traditional content distribution in the Internet. Finally, podcasts, a relatively new content distribution mechanism is expected to garner an audience of nearly 56 million subscribers by 2010. Measuring and modeling podcasts remains an open problem despite the significance that has been gained by this application. This form of content distribution is best described as a push based mechanism, which is different from traditional http based content distribution. We measure podcast streams, analyze them and develop a traffic generator, SimPod, for simulation purposes.
Mission planning for autonomous systems

Planning is a necessary task for intelligent, adaptive systems operating independently of human controllers. A mission planning system that performs task planning by decomposing a high-level mission objective into subtasks and synthesizing a plan for those tasks at varying levels of abstraction is discussed. Researchers use a blackboard architecture to partition the search space and direct the focus of attention of the planner. Using advanced planning techniques, they can control plan synthesis for the complex planning tasks involved in mission planning.
Advice-Taking and Knowledge Refinement: An Iterative View of Skill Acquisition

Abstract : This paper discusses skill development as an iterative process that coverts advice into plans and, ultimately, converts these plans into behaviors. An overall model is summarized. While this framework treats learning as a largely domain-independent enterprise, it motivates two caveats. First, we believe every skill is largely domain-dependent. Whatever domain independence exists is attributable to the general skills that underlie initial skill acquisition and subsequent skill improvement. Initial skill acquisition depends on the general and complex advice-taking skills of understanding and knowledge programming. In this paper, we have developed many aspects of the advice-taking process. The second phase of learning also employs numerous and relatively general skills. In this phase, diagnostic and learning rules identify and rectify erroneous bits of knowledge. The second caveat on domain-independence recognizes the important role that domain knowledge plays in diagnosis and refinement. A learner's ability to apply diagnosis and learning rules will also depend on his or her familiarity with and expertise in the problem domain. Although these heuristic and learning rules are domain-independent, to apply these rules a learner must be able to reason deductively about and with the entailments of his or her domain knowledge.
D-VisionDraughts: uma rede neural jogadora de damas que aprende por reforço em um ambiente de computação distribuída

The objetive of this work is to propose a draughts learning system, the D-VisionDraughts (Distributed VisionDraughts): a distributed draughts player agent based on neural networks that learns by reinforcement. The D-VisionDraughts is trained in a distributed processing environment in order to achieve a high level of play without expert game analysis and with minimal human intervention as possible (distinctly from the world draughts champion Chinook). The D-VisionDraughts corresponds to a distributed version of the eficient VisionDraughts player, where the latter corresponds to a MLP (multilayer perceptron) neural network that learns by means of temporal diferences. The role of the neural network is to evaluate how much a board state is favorable to the agent (prediction). This value will lead the search module to determine the best action (in this case, the best move) of the current board state of the game. Another factor that has an important impact on the search eciency, which is analyzed in this work, is the degree of ordering of the game tree. Thus, the main contributions of this work are: the replacement of the serial algorithm used in VisionDraughts, the minimax with alpha-beta pruning, by the distributed algorithm Young Brothers Wait Concept (YBWC); the use of heuristics for game tree ordering, that is essential for the proper performance of YBWC and alpha-beta pruning in general; the impact analysis of the high-performance processing environment on the unsupervised learning skills of the player. This work shows that with the techniques used, the time required to perform a game tree search was signicantly reduced and through tournaments played with VisionDraughts the overall performance of the distributed agent is improved. %%%%O objetivo deste trabalho e propor um sistema de aprendizagem de damas, o DVisionDraughts (Distributed VisionDraughts): um agente distribuido jogador de damas baseado em redes neurais que aprende por reforco. O D-VisionDraughts e treinado em um ambiente de processamento distribuido de modo a alcancar um alto nivel de jogo sem a analise de especialistas e com o minimo de intervencao humana possivel (diferentemente do agente campeao do mundo de damas Chinook). O D-VisionDraughts corresponde a uma versao distribuida do eciente jogador VisionDraughts, onde este ultimo corresponde a uma rede neural MLP (multilayer perceptron) que aprende pelo metodo das diferencas temporais. O papel da rede neural e avaliar o quanto um estado de tabuleiro e favoravel ao agente (valor de predicao). Este valor ira guiar o modulo de busca na procura pela melhor acao (neste caso, o melhor movimento) correspondente ao estado de tabuleiro corrente do jogo. Outro fator que e importante na eciencia da busca, e que foi analisado neste trabalho, e o grau de ordenacao da arvore de jogo. Desta forma, as principais contribuicoes deste trabalho consistem em: substituir o algoritmo serial utilizado para a busca em arvore de jogos do VisionDraughts, o minimax com poda alpha-beta, pelo algoritmo distribuido Young Brothers…
On the use of wavelet transform for privacy preserving data mining

Data mining is the process of automatically searching large amount of data to extract useful information and patterns using tools such as classification, association and rule mining. Data mining often involves data that contains private information such as healthcare or financial records and there has been growing concern about the chance of misusing the personal information extracted from such data. In particular, the increasing ability to trace and collect large amount of data with the use of current technology has led to an interest in the development of data mining algorithms which preserve user privacy. Data perturbation is one of the well known techniques for privacy preserving data mining. In this paper, we investigate the use of the Discrete Wavelet Transform (DWT) with truncation for data perturbation. Our experimental results show that the proposed method is effective in concealing the sensitive information while preserving the performance of data mining techniques after the data distortion.
Title Wavelet network for nonlinear regression using probabilisticframework

Regression analysis is an essential tools in most research fields such as signal processing, economic forecasting etc. In this paper, an regression algorithm using probabilistic wavelet network is proposed. As in most neural network (NN) regression methods, the proposed method can model nonlinear functions. Unlike other NN approaches, the proposed method is much robust to noisy data and thus over-fitting may not occur easily. This is because the use of wavelet representation in the hidden nodes and the probabilistic inference on the value of weights such that the assumption of smooth curve can be encoded implicitly. Experimental results show that the proposed network have higher modeling and prediction power than other common NN regression methods.