559 research outputs found
04021 Abstracts Collection – Content-Based Retrieval
No full textFrom 04.01.04 to 09.01.04, the Dagstuhl Seminar 04021 ``Content-Based Retrieval''
was held in the International Conference and Research Center (IBFI),
Schloss Dagstuhl.
During the seminar, several participants presented their current
research, and ongoing work and open problems were discussed. Abstracts of
the presentations given during the seminar as well as abstracts of
seminar results and ideas are put together in this paper. The first section
describes the seminar topics and goals in general.
Links to extended abstracts or full papers are provided, if available
MAGELLAN: Map Acquisition of Geographic Labels by Legend Analysis
No full textthis paper, we describe a system called MAGELLAN (denoting Map Acquisition of GEographic Labels by Legend ANalysis) built by us that uses the legend of the map to drive the geographic symbol (or label) recognition for this purpose. MAGELLAN first locates the legend of the map and segments it. The geographic symbols are identified, and their semantic meaning is attached. An initial training set library is constructed based on this information. The training set library is subsequently used to classify geographic symbols in input maps using statistical pattern recognition [6]. User interaction is required at first to assist in constructing the training set library to account for variability in the symbols. Users may also change some of the classifier parameters at this stage to suit their specific application. Subsequently, MAGELLAN proceeds to automatically identify the geographic symbols in the input maps that use the same legend. The emphasis of our approach is on utilizing the legend of the map to build a flexible and adaptive system that extracts symbolic information from map layers, 2 Hanan Samet, Aya Soffer: MAGELLAN: Map Acquisition of Geographic Labels by Legend Analysis rather than trying to vectorize the entire map and interpret every object found in it (some of these objects may not appear in the legend). The goal of MAGELLAN is to extract contextual cues from the map layer that can be used to index the composite maps in a map image information system. The input to MAGELLAN are raster images of the separate map layers. The output of MAGELLAN is a logical representation of a map image that that can be used by a map image information system to automatically index both the composite and layer images. See [22] for a description of a companion system called MARCO ..
019 - Hanan Alqarni
No full textIncludes bibliographical references.In spite of growing attention to the needs of post-secondary English language learners, many of these students continue to struggle with their university coursework. According to Hyland, (2002) gaps in school curricula may be one of the factors contributing to this phenomenon. To address this issue, scholars have suggested that course designers employ Needs Analysis to improve the alignment between curricula at the university level (Zohrabi, 2010). However, without a concrete example of how a needs analysis is conducted, many instructors may be reluctant to take on such a project. The purpose of this panel poster is to provide EAP instructors and course designers with a first-hand account of an actual needs analysis project, and to demonstrate how data from this project was used for curriculum alignment. In this poster, the panelists will begin by introducing the concept of needs analysis, and explaining its relevance to the EAP context. Next, the panelists will discuss how they applied this concept in order to determine the needs of a population of international students at a public university. Participants will learn specifically how data was collected and analyzed using Present Situation Analysis, Target Situation Analysis, and Discourse Analysis methods. They will also learn how the research findings were used to redesign the curriculum of a foundational EAP course, in order to better prepare students for future university coursework. Participants will be given an opportunity to ask questions to the panelists about their work. They will also receive handouts with information about designing, implementing, and applying the results of a needs analysis, with references to sources of additional information.This poster will explore how needs analysis can be used to improve the alignment of post-secondary EAP curricula. The author will discuss her own needs analysis project, detailing her methods of data collection and analysis, and share how the findings were used to redesign the curriculum of an EAP course
Représentations littéraires du sacré dans le roman maghrébin de langue française
No full textThis interdisciplinary study explores how Driss Chraïbi’s L’Homme du Livre (1995), Assia Djebar’s Loin de Médine (1991), and Anissa Boumediène’s La fin d’un monde (1991) present accounts of particular historical moments in early Islam. This study explores the role of the imagination as well as freedom of invention when reconstructing historical events. It engages the novels through a study of the interplay between the literary text and the sources and traditions that impact and shape the text narrative. Gaining direct access to the original sources in Arabic serves to analyze how religious and early historical materials are considered in and reflected by the fictional texts. Because the sources tend to differ in both content and approach, this study examines their preoccupations in order to determine the criteria of selection applied by each novelist.Ph.D.Includes bibliographical referencesIncludes vitaby Hanan Elsaye
Automatic generation of robot and manual assembly plans using octrees
No full textThis paper aims to investigate automatic assembly planning for robot and manual assembly. The octree decomposition technique is applied to approximate CAD models with an octree representation which are then used to generate robot and manual assembly plans. An assembly planning system able to generate assembly plans was developed to build these prototype models. Octree decomposition is an effective assembly planning tool. Assembly plans can automatically be generated for robot and manual assembly using octree models. Research limitations/implications - One disadvantage of the octree decomposition technique is that it approximates a part model with cubes instead of using the actual model. This limits its use and applications when complex assemblies must be planned, but in the context of prototyping can allow a rough component to be formed which can later be finished by hand. Assembly plans can be generated using octree decomposition, however, new algorithms must be developed to overcome its limitations
AIRSPACE PLANNING FOR OPTIMAL CAPACITY, EFFICIENCY, AND SAFETY USING ANALYTICS
No full textAir Navigation Service Providers (ANSP) worldwide have been making a considerable effort for the development of a better method for planning optimal airspace capacity, efficiency, and safety. These goals require separation and sequencing of aircraft before they depart. Prior approaches have tactically achieved these goals to some extent. However, dealing with increasingly congested airspace and new environmental factors with high levels of uncertainty still remains the challenge when deterministic approach is used. Hence due to the nature of uncertainties, we take a stochastic approach and propose a suite of analytics models for (1) Flight Time Prediction, (2) Aircraft Trajectory Clustering, (3) Aircraft Trajectory Prediction, and (4) Aircraft Conflict Detection and Resolution long before aircraft depart. The suite of data-driven models runs on a scalable Data Management System that continuously processes streaming massive flight data to achieve the strategic airspace planning for optimal capacity, efficiency, and safety.
(1) Flight Time Prediction. Unlike other systems that collect and use features only for the arrival airport to build a data-driven model for predicting flight times, we use a richer set of features along the potential route, such as weather parameters and air traffic data in addition to those that are particular to the arrival airport. Our feature engineering process generates an extensive set of multidimensional time series data which goes through Time Series Clustering with Dynamic Time Warping (DTW) to generate a single set of representative features at each time instance. The features are fed into various regression and deep learning models and the best performing models with most accurate ETA predictions are selected. Evaluations on extensive set of real trajectory, weather, and airport data in Europe verify our prediction system generates more accurate ETAs with far less variance than those of European ANSP, EUROCONTROL’s. This translates to more accurately predicted flight arrival times, enabling airlines to make more cost-effective ground resource allocation and ANSPs to make more efficient flight scheduling.
(2) Aircraft Trajectory Clustering. The novel divide-cluster-merge; DICLERGE system clusters aircraft trajectories by dividing them into the three standard major flight phases: climb, en-route, and descent. Trajectory segments in each phase are clustered in isolation, then merged together. Our unique approach also discovers a representative trajectory, the model for the entire trajectory set.
(3) Aircraft Trajectory Prediction. Our approach considers airspace as a 3D grid network, where each grid point is a location of a weather observation. We hypothetically build cubes around these grid points, so the entire airspace can be considered as a set of cubes. Each cube is defined by its centroid, the original grid point, and associated weather parameters that remain homogeneous within the cube during a period of time. Then, we align raw trajectories to a set of cube centroids which are basically fixed 3D positions independent of trajectory data. This creates a new form of trajectories which are 4D joint cubes, where each cube is a segment that is associated with not only spatio-temporal attributes but also with weather parameters. Next, we exploit machine learning techniques to train inference models from historical data and apply a stochastic model, a Hidden Markov Model (HMM), to predict trajectories taking environmental uncertainties into account. During the process, we apply time series clustering to generate input observations from an excessive set of weather parameters to feed into the Viterbi algorithm. The experiments use a real trajectory dataset with pertaining weather observations and demonstrate the effectiveness of our approach to the trajectory prediction process for Air Traffic Management.
(4) Aircraft Conflict Detection. We propose a novel data-driven system to address a long-range aircraft conflict detection and resolution (CDR) problem. Given a set of predicted trajectories, the system declares a conflict when a protected zone of an aircraft on its trajectory is infringed upon by another aircraft. The system resolves the conflict by prescribing an alternative solution that is optimized by perturbing at least one of the trajectories involved in the conflict. To achieve this, the system learns from descriptive patterns of historical trajectories and pertinent weather observations and builds a Hidden Markov Model (HMM). Using a variant of the Viterbi algorithm, the system avoids the airspace volume in which the conflict is detected and generates a new optimal trajectory that is conflict-free. The key concept upon which the system is built is the assumption that the airspace is nothing more than a horizontally and vertically concatenated set of spatio-temporal data cubes where each cube is considered as an atomic unit. We evaluate the system using real trajectory datasets with pertinent weather observations from two continents and demonstrate its effectiveness for strategic CDR.
Overall, in this thesis, we develop a suite of analytics models and algorithms to accurately identify current patterns in the massive flight data and use these patterns to predict future behaviors in the airspace. Upon prediction of a non-ideal outcome, we prescribe a solution to plan airspace for optimal capacity, efficiency, and safety
Program less waste sebagai inovasi dakwah Hanan Attaki
No full textDakwah tentang pengurangan sampah sangat penting dilakukan mengingat persoalan sampah masih menjadi problem bersama yang belum terselesaikan solusinya. Namun, tidak banyak para pendakwah yang melakukan dakwah dengan tema lingkungan, pengurangan sampah khususnya. Hanan Attaki sebagai pendakwah muda yang memiliki banyak pengikut, melakukan inovasi dakwah dengan mengkampanyekan program less waste sebagai materi dakwah. Tulisan ini merupakan studi kasus pada dakwah yang dilakukan Hanan Attaki di komunitas pemuda Bandung. Tulisan ini membahas tentang dua hal, pertama tentang inovasi dakwah yang disampaikan oleh Hanan Attaki kepada para pemuda untuk menanggulangi permasalahan sampah di kota Bandung, kedua tentang proses program less waste mampu memaksimalkan peran pemuda. Penulis menggunakan pendapat Al-Bayanuni dalam kitab Al-Madkhal Ila Ilmi Dakwah dalam menganalisis. Hasil studi menunjukkan bahwa inovasi dakwah Hanan Attaki dilakukan dengan membuat program less waste merupakan tindakan awal dalam pengaplikasian materi yang disampaikan kepada pemuda kota Bandung. Less waste dijadikan sebagai gaya hidup baru bagi para pemuda Bandung. Para pemuda diajarkan cara meminimalisir dan mengelola sampah organik dan anorganik. Sehingga, program less waste dapat membuat pemuda Bandung terlibat mengambil peran dalam isu lingkungan sekaligus mengatasinya secara langsung, serta mampu mengubah gaya pemuda yang suka nongkrong di cafe menjadi nongkrong di masjid. Da'wah about waste reduction is very important considering the problem of waste is still a common problem whose solution has not been resolved. However, not many preachers carry out preaching on the theme of the environment, especially waste reduction. Hanan Attaki as a young preacher who has many followers innovates da'wah by campaigning for a less waste program as a material for da'wah. This paper is a case study on the da'wah carried out by Hanan Attaki in the Bandung youth community. This paper discusses two things, first about the da'wah innovation conveyed by Hanan Attaki to youths to overcome the waste problem in the city of Bandung, second about the process of the less waste program capable of maximizing the role of youth. The author uses Al-Bayanuni's opinion in the book Al-Madkhal Ila Ilmi Dakwah in analyzing. The results of the study show that Hanan Attaki's innovation in preaching by creating a less waste program is the first step in the application of the material presented to the youth of Bandung. Less waste is used as a new lifestyle for Bandung youth. The youth are taught how to minimize and manage organic and inorganic waste. Thus, the less waste program can make Bandung youths involved in taking part in environmental issues as well as addressing them directly, as well as being able to change the style of youth who like to hang out in cafes to hang out in mosques
Living With Parkinson’s Disease: A Jordanian Perspective
No full textAbstract
Date Presented 3/31/2017
This study explored the lived experiences of Jordanian persons with Parkinson’s disease, both challenges and adaptations. Some of these challenges and adaptations are rooted within the Jordanian Arabic and Islamic culture. It is highly recommended that therapists be aware of these cultural issues.
Primary Author and Speaker: Mohammad Nazzal
Additional Authors and Speakers: Hanan Khalil</jats:p
Islam Nusantara sebagai Paradigma Ustadz Hanan Attaki
No full textParticularly in Indonesia, Islam Nusantara is a view initiated by Nahdlatul Ulama (NU) in response to geographical dispersion. Traditionalist Islam, also known as Islam Nusantara, is a Sufi-inspired orientation and is often generalized in NU discourse as Indonesian Islam, thereby ignoring the differences between the two. It is a hybrid form of Islam developed mainly in Java since the 16th century, which gradually blended with Javanese adat (customary law), Hinduism, Buddhism, and mystical practices. Through this argument, the phenomenon of hijrah, especially in Indonesia, has become the author\u27s concern, one of which is the latest, namely the inclusion of Ustad Hannan Attaki in the largest organization in Indonesia, even the world, namely Nahdlatul Ulama. This study aims to describe aspects of Nahdlatul Ulama-style Islam Nusantara that can influence Ustad Hannan Attaki\u27s views. This research is a type of descriptive qualitative research with various literature reviews. The results of this article show that the authority of Kiai as the main component of Nusantara Islam has influenced Ustad Hanan Attaki\u27s thinking paradigm, especially through the figure of KH. Marzuki Mustamar. For Ustaz Hanan Attaki, KH. Marzuki is not only a representation of scientific sanad, but also a role model. He realizes that adhering to Ahlusunnah wal Jamaah is not enough without NU attachment, so allegiance to Nahdlatul Ulama is a form of commitment to peaceful da\u27wah
Out-of-core multiresolution terrain modeling
No full textIn this chapter we discuss issues about level of detail (LOD) representations for digital terrain models and, especially, we describe how to deal with very large terrain data sets through out-of-core techniques that explicitly manage I/O operations between levels of memory. LOD modeling in the related context of geographical maps is discussed in Chaps. 4 and 5. A data set describing a terrain consists of a set of elevation measurements taken at a finite number of locations over a planar or a spherical domain. In a digital terrain model, elevation is extended to the whole domain of interest by averaging or interpolating the available measurements. Of course, the resulting model is affected by some approximation error, and, in general, the higher the density of the samples, the smaller the error. The same arguments can be used for more general two-dimensional scalar or vector fields (e.g. generated by simulation), defined over a manifold domain, and measured through some sampling process. Available terrain data sets are becoming larger and larger, and processing them at their full resolution often exhibits prohibitive computational costs, even for high-end workstations. Simplification algorithms and multiresolution models proposed in the literature may improve efficiency, by adapting resolution on-the-fly, according to the needs of a specific application [32]. Data at high resolution are preprocessed once to build a multiresolutionmodel that can be queried online by the application. The multiresolution model acts as a black box that provides simplified representations, where resolution is focused on the region of interest and at the LOD required by the application. A simplified representation is generally affected by some approximation error that is usually associated with either the vertices or the cells of the simplified mesh. Since current data sets often exceed the size of the main memory, I/O operations between levels of memory are often the bottleneck in computation. A disk access is about one million times slower than an access to main memory.A naive management of external memory, for example, with standard caching and virtualmemory policies, may thus highly degrade the algorithm performance. Indeed, some computations are inherently non-local and require large numbers of I/O operations. Out-of-core 44 Emanuele Danovaro, Leila De Floriani, Enrico Puppo, and Hanan Samet algorithms and data structures explicitly control how data are loaded and how they are stored. Here, we review methods and models proposed in the literature for simplification and multiresolution management of huge datasets that cannot be handled in main memory.We consider methods that are suitable to manage terrain data, some of which have been developed for more general kinds of data (e.g. triangle meshes describing the boundary of 3D objects). The rest of this chapter is organized as follows. In Sect. 3.2, we introduce the necessary background about digital terrain models, focusing our attention on triangulated irregular networks (TINs). In Sect. 3.3, we review out-of-core techniques for simplification of triangle meshes and discuss their application to terrain data to produce approximated representations. In Sect. 3.4, we review out-of-core multiresolution models specific for regularly distributed data, while in Sect. 3.5, we describe more general out-of-core multiresolution models that can manage irregularly distributed data. In Sect. 3.6, we draw some conclusions and discuss open research issues including extensions to out-of-core simplification and multiresolution modeling of scalar fields in three and higher dimensions, to deal, for instance, with geological data. © Springer-Verlag Berlin Heidelberg 2007. All rights are reserved
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