Miracle-dz/UniFAR-FTUs huggingface dataset:
Semantic Inter-Media Fusion Design for a Content-Based Medical Image Retrieval System

This article treats about a semantic content-based medical image retrieval system (CBMIR), focusing more precisely on the inter-media fusion module between the medical images and the associated medical reports. In the proposed CBMIR, the semantic indexing and fusion are based on the Unified Medical Language System’s (UMLS) Metathesaurus, a very large, multi-purpose, and multi-lingual biomedical and health-related concepts vocabulary. Coherent modeling approach of the indexing, the fusion and the retrieval processes is critical for CBMIR systems quality. We design the semantic fusion approach using the Unified Modeling Language (UML). A set of UML diagrams illustrating the steps of the semantic CBMIR methodology are proposed. The fusion operates before the query processing (retrieval) and works at an UMLS-compliant conceptual indexing level. By evaluating the probabilistic, fuzzy and evidence-based approaches for the fusion and different similarity functions for the retrieval processes, we introduce an analysis of the different approaches, trough the medical image retrieval benchmark of the Cross Language Evaluation Forum (CLEF) 2006.
A Novel Gravity Compensation System for Space Robots

Realistic experimental investigation of the behavior of space robots requires simulation on earth of the micro-gravity environment existing in space. This is particularly true due to the typically long reach and high structural flexibility of manipulators designed for low- or zero-gravity operation. Two-dimensional testbeds, using air bearings or suspension systems, may be satisfactory in some cases, but do not allow 3-D testing. Neutral-buoyancy testing is often used, but complicates the manipulator design and testing, and introduces inertial and viscous effects that can substantially affect dynamic behavior. Other `gravity-compensation' schemes have been implemented, but typically require high power, sophisticated sensing and precise control, and have restrictive bandwidth limits. An approach which obviates most of these disadvantages is to suspend the robot with a cable from an electromechanical system that passively generates a vertical counterbalance force, while tracking the robot's horizontal motion actively or passively to minimize horizontal disturbances. We have implemented two such systems that enable realistic testing of our Self Mobile Space Manipulator (SM 2 ), a robot being developed to walk on the exterior structure of the Space Station Freedom. This paper provides an overview of our gravity-compensation systems including mechanical hardware, sensing and electronics, real-time control strategy and software, and experimental results.
Enabling Tool Support for Formal Analysis of Predictable sets of ECA Rules

This thesis proposal addresses support for utilizing an existing formal analysis tool when predictable rule-based systems are developed. One of the main problems of the rule-based paradigm is that it is hard to analyze the behavior of rule sets, which is conflicting with the high predictability requirements typically associated with real-time systems. Further, analysis tools developed for rule-based systems typically address a specific platform or a specific part of the development chain.In our approach, rules are initially specified in a high-level language. We enable a powerful analysis tool not designed for rule based development, to be utilized for analyzing the rule base. This is done by transforming the set of rules, with maintained semantics, to a representation suitable for the target analysis tool. Our approach provides non-experts in formal methods with the ability to formally analyze a set of rules.
Off-Angle Iris Recognition Utilizing Global ICA

The popularity of the iris biometric has grown considerably over the past decade. Together with the development of new iris processing and recognition algorithms for frontal view iris images a few challenging directions in iris research have been identified including processing of a non-ideal iris and iris at a distance. In this work, we describe a non-ideal iris recognition system utilizing a global ICA encoding method and analyze its performance. The word non-ideal is used in the sense of dealing with off-angle, occluded iris images. The system is designed to process non-ideal iris images in two steps: (i) estimation of gaze direction and (ii) processing and encoding of the rotated iris image. After the angle is estimated, the off-angle iris image undergoes geometric transformations involving the estimated angle and is further processed as if it were a frontal view image. The encoding technique developed for a frontal image is based on application of the global Independent Component Analysis (ICA) to globally masked iris images. We use a special dataset of off-angle iris images to quantify the performance of the off-angle iris recognition system. A series of Receiver Operating Characteristics (ROCs) and other measures of performance such as Fisher Linear Discriminant, area under ROC, d-prime, and Equal Error Rate demonstrate various effects on the performance of the non-ideal iris recognition system.
Information fusion for multidocument summarization: paraphrasing and generation

The number and variety of online news sources makes it difficult for people to track the news concerning even a single event. Redundancy causes such tracking to be extremely time-consuming: multiple news feeds on the same event tend to contain similar information. A summary of such news feeds can present important information in one short text, dramatically reducing reading time. The focus of this thesis is information fusion, a technique which, given multiple documents, identifies redundant information and synthesizes a coherent summary. This technique is embodied in MultiGen, a system that I have designed, implemented and evaluated over the course of my Ph.D. Unlike previous work in the area, MultiGen is a domain-independent system: it generates news summaries on a variety of topics in any domain. Another contribution to the state of the art is that the system generates the summary by reusing and altering phrases from the input articles, creating a more fluent and cohesive text. This is in contrast with other existing systems, which simply extract sentences from input articles and concatenate them together, leading to fluency problems. Currently MultiGen operates as part of Columbia's Newsblaster system. Everyday, Newsblaster downloads all news articles from a variety of sources, clusters articles by topic, and generates a cohesive, readable automatic summary of each document cluster. One key challenge in multidocument summarization is eliminating redundant information in the produced summaries. Articles about the same event often contain descriptions of the same fact using different wording. To address this issue, we need a method to identify paraphrases—fragments of text that convey similar meaning even if they are not identical in wording. Automatic identification of paraphrases was not addressed in previous research, although it is necessary for many applications, including question-answering, information extraction and natural language generation. This thesis presents unsupervised learning techniques to identify paraphrases given a corpus of multiple parallel texts. This type of corpus provides many instances of paraphrasing, because these texts preserve the meaning of the original source, but may use different words to convey the meaning. Both the data and the method are departures from past approaches to corpus based techniques. Our evaluation experiments show that the algorithm extracts paraphrases with high accuracy and significantly outperforms a state of the art algorithm developed for related tasks in machine translation.
Experience Based Task and Environment Specification for Plan-based Robotic Agents

Planning for autonomous robots differs from classical planning, because actions are not behaving deterministically. In a real world environment there are too many parameters and too many cases to handle before the plan execution. Nevertheless planning is needed to give robots the flexibility to work in unknown or not completely known environments. Plan execution can be seen as a flexible way of handling unknown and/or changing environments. Here, during runtime, sensors and reasoners can be asked to give necessary information. To cover the uncertainty in the real world, there is need for more than pure logical reasoning . In order to close this gap, we want to extend the CRAM Plan Language (CPL) so that it can ask probabilistic world models which is the best way to continue under the current conditions and beliefs. These world models should be ultimately learned and trained autonomously by the robot. For this the robot needs to log data in an appropriate way as well as use this data to infer a world model and train it. But it is not feasible to learn one model of the whole world. It looks much more promising to use a combined approach of defining and learning a hierarchical model of the world. To start with small parts during a plan execution and learning methods to increase the success rate for these parts can be a starting point. In this paper a first proof of concept of how such a model can automatically be found and learned is presented.
Salient Feature Selection Using Feed-Forward Neural Networks and Signal-to-Noise Ratios with a Focus Toward Network Threat Detection and Classification

Abstract : Most communication in the modern era takes place over some type of cyber network, to include telecommunications, banking, public utilities, and health systems. Information gained from illegitimate network access can be used to create catastrophic effects at the individual, corporate, national, and even international levels, making cyber security a top priority. Cyber networks frequently encounter amounts of network traffic too large to process real-time threat detection efficiently. Reducing the amount of information necessary for a network monitor to determine the presence of a threat would likely aide in keeping networks more secure. This thesis uses network traffic data captured during the Department of Defense Cyber Defense Exercise to determine which features of network traffic are salient to detecting and classifying threats. After generating a set of 248 features from the capture data, feed-forward artificial neural networks were generated and signal-to-noise ratios were used to prune the feature set to 18 features while still achieving an accuracy ranging from 83% - 94%. The salient features primarily come from the transport layer section of the network traffic data and involve the client/server connection parameters, size of the initial data sent, and number of segments and/or bytes sent in the flow.
Relay Attacks on RFID-Based Electronic Voting Systems

Many secure systems, such as contactless credit cards and secure entrance systems, are built with contactless smartcard RFID technologies. In many cases these systems are claimed to be secure based on the assumption that readers and tags need to be in close proximity (about 5cm) in order to communicate. However, it is known that this proximity assumption is false: Relay attacks are a class of hardware-based attacks which compromise the safety of such systems by dramatically extending the interrogation range of the contactless system. Interestingly, the proposed Israeli e-voting scheme is based on contactless smartcards. In this work we show how the proposed system can be completely compromised using low-cost relay attacks. We describe a variety of attacks, ranging from simple denial of service to sophisticated election fraud. Our attacks are easy to mount, very di cult to detect, and compromise both the con dentiality and the integrity of the election system.
Développement du questionnaire d’adaptation des étudiants à l’université (QAEU)

L’objectif de cette recherche est de presenter un outil d’evaluation de l’adaptation des etudiants a l’universite, traduit d’une epreuve de langue anglaise : le S.A. C.Q. Les hypotheses relatives aux effets de la traduction et du contexte universitaire francais visent a tester la validite de construction (structure du questionnaire, affectation des items aux differentes dimensions de l’adaptation). D’autres hypotheses portent sur la validite externe (relations avec les strategies de coping et avec la variable sexe). Les donnees recueillies aupres d’un echantillon de 357 etudiants de premiere annee de lettres et sciences humaines permettent de degager six facettes de l’adaptation (sociale ; personnelle ; universitaire-performance, universitaire-application, universitaire-environnement ; attachement a l’institution). Un coping centre sur la tâche et decentre de l’emotion est favorable a une meilleure adaptation. Les hommes ont un niveau d’adaptation personnelle plus eleve que les femmes. Cette epreuve contribue a preciser la notion d’adaptation et offre un outil utile tant au niveau de la recherche que pour les professionnels de l’orientation.
Reisezeitberechnung und Störungserkennung mit Bluetooth-Kennungen

Im Rahmen dieser Arbeit wird auf die verkehrstechnische Anwendung von Blue-tooth-Technologie auf Autobahnen eingegangen. Mittels neben der Fahrbahn in-stallierter Antennen konnen Bluetooth-Gerate in vorbeifahrenden Fahrzeugen er-fasst und anhand ihrer weltweit eindeutigen Kennung wieder erkannt werden. Auf Grundlage dieser Detektionen, angewandt an mehreren Messquerschnitten im zu betrachtenden Verkehrsnetz, lassen sich reprasentative Reisezeiten auf den aus-gewahlten Routen ermitteln. Eine der Zielsetzungen hierbei besteht darin, die vorliegenden Realdaten der Ver-suchsstrecken in Nordbayern fur die anschliesende Auswertung aufzubereiten. Hierzu werden die detektierten Reisezeiten auf ihre Plausibilitat uberpruft, um bei-spielsweise Fahrzeuge heraus zu filtern, die kurzzeitig die Autobahn an einer Rast-statte oder Anschlussstelle verlassen haben und damit die Ergebnisse ver-falschen wurden. Ein besonderes Augenmerk liegt auch auf der automatisierten Erkennung von Ver-kehrsstorungen auf Basis der ermittelten durchschnittlichen Geschwindigkeiten, die sich aus dem streckenbezogenen Kehrwert der Reisezeiten berechnen. Hierzu wird ein Verfahren vorgestellt, welches zwischen zwei Bluetooth-Empfangern Anderun-gen in der mittleren sowie auch der erreichbaren Maximalgeschwindigkeit identifi-ziert und damit Behinderungen im Verkehrsablauf erkennen kann. Um die entwickelten Methoden an den vorliegenden Realdaten der Autobahndirek-tion Nordbayern zu testen, wurde prototypisch eine Java-Applikation entwickelt, die Bluetooth-Datensatze von beliebigen Teststrecken einlesen und verarbeiten kann. Zusatzlich erfolgt im Anschluss eine umfassende Auswertung der Ergebnisse in Diagrammen sowie Tabellen.
Actors, Domains, and Constraints in the Design and Construction of Controlled Vocabularies

ABSTRACT: Classification schemes, thesauri, taxonomies, and other controlled vocabularies play important roles in the or-ganization and retrieval of information in many different environments. While the design and construction of controlled vo-cabularies have been prescribed at the technical level in great detail over the past decades, the methodological level has been somewhat neglected. However, classification research has in recent years focused on developing approaches to the analysis of users, domains, and activities that could produce requirements for the design of controlled vocabularies. Researchers have of-ten argued that the design, construction, and use of controlled vocabularies need to be based on analyses and understandings of the contexts in which these controlled vocabularies function. While one would assume that the growing body of research on human information behavior might help guide the development of controlled vocabularies shed light on these contexts, unfor-tunately, much of the research in this area is descriptive in nature and of little use for systems design. This paper discusses these trends and outlines a holistic approach that demonstrates how the design of controlled vocabularies can be informed by inves-tigations of people’s interactions with information. This approach is based on the Cognitive Work Analysis framework and outlines several dimensions of human-information interactions. Application of this approach will result is a comprehensive un-derstanding of the contexts in which the controlled vocabulary will function and which can be used for the development of for the development of controlled vocabularies.
VISUALIZATION IN THE ANALYSIS OF GENE EXPRESSION DATA: A SURVEY

Scientific visualization has proved to be highly effective in data mining applications. It is widely used in different scientific areas including biology and medicine. Recent progress in genetics, molecular biology and chemistry has made it possible for simultaneous registration of almost the whole genome. Visualization complements and extend the capability of knowledge and data mining for gene expression data. Unfortunately existing methods of analysis do not completely use the full range of scientific computer graphics techniques. This paper provides a review of methods and tools for scientific visualization along with techniques for exploratory analysis of the gene expression data.
Simulating the evacuation of very large populations in large domains using a parallel implementation of the buildingEXODUS evacuation model

Computer egress simulation has potential to be used in large scale incidents to provide live advice to incident commanders. While there are many considerations which must be taken into account when applying such models to live incidents, one of the first concerns the computational speed of simulations. No matter how important the insight provided by the simulation, numerical hindsight will not prove useful to an incident commander. Thus for this type of application to be useful, it is essential that the simulation can be run many times faster than real time. Parallel processing is a method of reducing run times for very large computational simulations by distributing the workload amongst a number of CPUs. In this paper we examine the development of a parallel version of the buildingEXODUS software. The parallel strategy implemented is based on a systematic partitioning of the problem domain onto an arbitrary number of sub-domains. Each sub-domain is computed on a separate processor and runs its own copy of the EXODUS code. The software has been designed to work on typical office based networked PCs but will also function on a Windows based cluster. Two evaluation scenarios using the parallel implementation of EXODUS are described; a large open area and a 50 story high-rise building scenario. Speed-ups of up to 3.7 are achieved using up to six computers, with high-rise building evacuation simulation achieving run times of 6.4 times faster than real time.
The mechanical design of trees

se diameter of a given limb or could there be a single most Im* „ ,'ntone? I -ually, of course, tliere is a single m i important design principle both in a,! i e and in engineering. In choosing lli. liametcr for the cables of a suspenfJcHi bridge the engineer must make tii, in large enough to support tho load. J" •. truts of the same bridge are moro 4 ult to design, because tho mecham i of failure may be cither buckling oi aiding in compression, but a short cl it with pencil and paper will settle •\ . h of the two presents the greatest ll . it. and the bridge can be designed li mid tlie most obvious danger. Then the bridgo is finished, it may tu . out to be considerably more corn el • altd as a system than it is as a mere • ■ i.iblage of parts. For example, winds ni excite unforeseen vibrations; few »: have seen the motion pictures of the T . ma Narrows Bridgo breaking up in » hgjl wind will ever forget the spec ie i'\ After such a lesson everyone gen•tally agrees that tho only good design b "lie that considers tho mechanical int.r. K tions of tho entire structure, not fit lhe stresses that might lie placed on c•! ■ li part of it. Intuition tells us that the ni' i lianical proportions of trees may bo lu • il on just such an integrative prin'i|> •. In what follows we shall explore i'« possibility in new theories and cx|>u intents, but first let us review some <■' . hat is already known about how In. grow. by Thomnu A. McMahon
The Minet TCP/IP Stack

The Minet TCP/IP stack is designed to support undergraduate and graduate courses in computer networking. The stack runs entirely at user level and can interoperate with kernel and user level stacks running on other machines. Minet consists of a collection of modules that run as separate sequential processes that communicate using well-defined interfaces. Student projects typically consist of writing modules (TCP, IP, etc) that fit into the stack. They are assisted by a collection of C++ classes that handle the details of manipulating packet headers and other mundane things. This document describes how Minet works, its classes and modules, the API for writing new modules, and how to build, configure, and run Minet.
WAKTU AKTIVITAS MENGHISAP DARAH NYAMUK AEDES AEGYPTI DAN AEDES ALBOPICTUS DI DESA PA’LANASSANG KELURAHAN BAROMBONG MAKASSAR SULAWESI SELATAN

Penyakit demam berdarah dengue (DBD) adalah salah satu penyakit yang banyak menyerang masyarakat Indonesia, penyakit ini disebabkan oleh virus dengue dengan vektor utama nyamuk Aedes aegypti dan vektor potensialnya adalah Ae des albopictus . Kedua jenis nyamuk ini melakukan aktivitas menghisap darah mulai pukul 06.00 pagi hingga pukul 17.00 petang. Penelitian di Malaya Peninsula menunjukkan bahwa baik nyamuk Ae . aegypti maupun Ae . albopictus ditemukan menghisap darah pada senja hingga dinihari. Penelitian ini bertujuan untuk mengetahui waktu aktivitas menghisap darah nyamuk Ae. aegypti dan Ae. albopictus di Desa Pa’lanassang, Kel. Barombong Kec. Tamalate Makassar. Pemilihan lokasi penelitian berdasarkan kriteria daerah non endemis dan pemilihan rumah sampling berdasarkan hasil survei dimana ditemukan nyamuk Ae. aegypti dan Ae. albopictus. Sampling dilakukan terhadap 15 rumah penduduk menggunakan umpan orang dalam (UOD) dan umpan orang luar (UOL) pukul 06.00 pagi hingga pukul 03.00 dinihari. Hasil penelitian menunjukkan bahwa waktu aktivitas menghisap darah nyamuk Ae. aegypti baik dengan menggunakan umpan orang dalam (UOD) maupun umpan orang luar (UOL) tertinggi pukul 17.00-18.00 WITA, sebaliknya waktu aktivitas menghisap darah nyamuk Ae. albopictus menunjukkan perbedaan dimana dengan umpan orang dalam (UOL) tertinggi pukul 16.00-17.00 WITA dan dengan umpan orang luar (UOL) tertinggi pukul 09.00-10.00 WITA. Aktivitas Ae. aegypti dan Ae. albopictus terendah terjadi pada pukul 12.00-14.00 WITA. Baik nyamuk Ae. aegypti maupun Ae. albopictus ditemukan menghisap darah pada malam hari pukul 18.00-20.00 WITA.
Real-Time Scheduling Algorithm Based on RMZL and Schedulability

– Recently, multiprocessor platform is generally used in embedded real time systems. The scheduling of recurrent real-time tasks on multiprocessors has been one of the primary subjects in the real time systems, ever since Dhall and Liu demonstrated the RM (Rate Monotonic) scheduling is no longer optimal on multiprocessors. Several algorithms based on RM are proposed. However the optimal scheduling algorithm on multiprocessors is not established yet. In this study, we propose a scheduling algorithm on multiprocessors, called RMZL with Pseudo Deadline (RMZLPD) based on Rate Monotonic until Zero Laxity(RMZL) applied zero-laxity rule to RM.RMZLPD can realize high parallelism. Through simulation, RMZLPD has shown the high schedule success ratio.The schedulability of proposed algorithm also is shown by response time analysis.