Miracle-dz/UniFAR-FTUs huggingface dataset:
A theoretical investigation about the notion of parts and wholes: mereological and meronymic relations

Within the realm of Information Science, information retrieval is a seminal issue. Knowledge organization systems are instruments that organize knowledge by connecting concepts through semantic relations for purposes of information retrieval. One of the most important of these semantic relations is the so-called part-whole relation. In this paper, we revisit some peculiarities of part-whole relations that are often overlooked by the Information Science community. In order to do this, we provide a theoretical investigation of two perspectives used to explain the notion of parts and wholes: a formal perspective, which is based on the philosophical study usually called mereology; a non-formal perspective, which is based on the linguistic study about a relation called meronym. We discuss the relationship between these perspectives through the issue of transitivity, which is an important property of part-whole relations for information retrieval. We find that these perspectives, although distinguished, are somehow complementary. The results of our analysis suggest that the choice for either a formal or a non-formal perspective could be based on a pragmatic criterion in the scope of development of knowledge organization systems. We conclude by offering some considerations correlating two main sorts of these systems, namely ontologies and thesauri.
READING AND WRITING TECHNICAL ENGLISH ONLINE

This course has been designed to meet the needs of Internet and Multimedia information students. The needs of such students whether as students or future professionals to gain access to massive information available online and in print have become all the more evident in a rapidly changing world. We believe that developing one’s competencies in reading and writing technical English may facilitate coping with the requirement of this situation.
Iterative interference cancellation and decoding for a coded UWB-TH-CDMA system in AWGN channel

We consider a low-complexity iterative receiver for decoding multiuser information data in a bandwidth efficient convolutionally coded UWB-TH-CDMA (ultra-wide bandwidth time-hopping spread-spectrum code-division multiple-access) system introduced by R.A. Scholtz (see Proc. Military Commun. Conf., vol.2, p.447-50, 1993). The proposed receiver structure consists of a bank of soft interference canceller-likelihood calculators (SICLC), each followed by a soft-input soft-output (SISO) convolutional decoder. Information is fed back from the SISO decoders to the SICLCs for interference cancellation. Each SICLC then provides soft information about the coded symbols in the form of a log-likelihood ratio (LLR), which is used by the corresponding SISO decoder as a priori information about the coded symbols. We evaluate the performance of the proposed receiver in AWGN channels. Our numerical results show that the new receiver significantly improves the system performance. Moreover, at relatively high signal-to-noise ratios, after few iterations, multiple access interference (MAI) is efficiently suppressed, and single-user performance is achieved.
Using a diffusion-like process for clustering

A simple clustering method using a neural net, which implements a diffusion-like process, is suggested. The implementation requires basic elements, numbered as the number of pixels, that work in parallel. The units can be viewed as simple "neurons", requiring only a small number of local connections. In spite of its simplicity, this implementation has several advantages over commonly used fuzzy clustering methods. Specifically, it is not dependent on initial conditions and it provides the "typicality" notion that is lacking in the well known Fuzzy C means and its derivatives. <<ETX>>
The Historical Development of Biometric Authentication Techniques: A Recent Overview

Over the last few decades, a new area of Human Computer Interaction has been established whose products are likely to create a large business in the near future. It has been called ‘Biometrics’. Biometrics is seen by many as a solution to a lot of the user identification and security problems. This paper presents an overview of the biometrics authentication technology, its utilization and introduces the resent issues underlying the biometrics.
STORE-AND-SEARCH: A MODEL FOR KNOWLEDGE DISCOVERY

The combination of two powerful technologies - the Semantic Web and Data Mining - will probably bring the internet and even the intranet closer to human reasoning than we ever thought possible. The internet is simply viewed as one huge, distributed database just waiting to be made sense of. Preliminary work in transforming this huge corpus of text, images, sound and video is already available. There is still a long way to go until efficient algorithms for automatic conversion of traditional data into ontologies and concept hierarchies will be found. In this paper we present two approaches to semantic web mining, each concerning a different aspect –yet focusing on the same basic problem: making sense of already-existing data designed originally only for human readers. The first one is an approach to recurring pattern mining and the second is a store-and-search model for knowledge discovery. We present in this paper only a small subset of work undergone in this exciting field of Semantic Web Mining, but we hope that it will provide a glimpse into the realm of possibilities that it opens.
Personal learning environments and university teacher roles explored using Delphi

This paper presents the results of research using an online Delphi method, which aimed to explore university teacher roles and readiness for learner-centred pedagogy, driven by personal learning environments (PLEs). Using a modified Policy Delphi technique, a group of researchers worked with 34 international experts who are university teachers by profession, but who are currently associated with PLEs as PLE-practising teachers, researchers, and developers. A questionnaire based on the relevant literature published between 2006 and 2012 was developed to serve the panel as the starting point for the Delphi debate. This questionnaire sought Delphi experts’ consensus on the names and task descriptions of 36 university teacher roles categorized into five core competencies. During the three rounds of this study, the experts changed the names of many roles and modified their task descriptions. The study concluded by identifying the 28 roles on which the Delphi panel was able to reach a consensus. The results also revealed that the university teacher today is ready to carry out the new roles suggested by this study.
MODELLING THE DATA RECORD OF A PATIENT WALK BY LANGRANGE-POLYNOMIAL METHOD

Various options available in PSW footprint and walking characteristics measuring equipment [6], [7], give the user many aims in putting diagnosis. A Conclusion-Making Unit (CMU) that has been described in this paper supports the diagnosis automation procedures. Due to simplifying the CMU training process some affords in a field of the input record length reduction have been undertaken. The paper describes an analytical method of the data record description that allows converting discrete data samples into continuous function. This way a redigitalisation of the record can be done, where sampling period is matched with the walk length. This normalization allows reducing the data record length used for fast training of the CMU.
A review of power control in cellular mobile communication systems

Current developments in power control research in cellular mobile systems are described. Typical algorithms including centralized PCA and distributed PCA are illustrated and analyzed. At the same time, the algorithms for multi-rate or multimedia wireless systems are discussed. The impact on the system performance of power control is then analyzed. Further work on power control algorithms for third generation cellular mobile system are presented.
Hierarchical Reinforcement Learning Using Automatic Task Decomposition And Exploration Shaping

HIERARCHICAL REINFORCEMENT LEARNING USING AUTOMATIC TASK DECOMPOSITION AND EXPLORATION SHAPING Predrag Djurdjevic, M.S. The University of Texas at Arlington, 2008 Supervising Professor: Dr Manfred Huber Reinforcement learning agents situated in real world environments have to be able to address a number of challenges in order to succeed at accomplishing a wide range of tasks over their lifetime. Among these, such systems have to be able to extract control knowledge from already learned tasks and apply them to subsequent ones in order to allow the agent to accomplish the new task faster and to accelerate the learning of an optimal policy. To address skill reuse and skill transfer, a number of approaches using hierarchical state and action spaces have been introduced recently which build on the idea of transferring the previously learned policies and representations to model and control the new task. However, while such transfer of skills can significantly improve learning times, it also poses the risk of behavior proliferation where the increasing set
Pengembangan Aplikasi Penyuluhan Pertanian Tanaman Hortikultura Berbasis SMS Gateway

Kegiatan penyuluhan pertanian memiliki kedudukan yang sangat strategis dalam pembangunan pertanian. Penyuluhan pertanian akan berjalan lancar apabila antara ketiga komponen dasar yakni sumber informasi, penyuluhan dan pelaku usaha tani dapat berinteraksi dengan baik sehingga bisa menyelesaikan permasalahan-permasalahan yang timbul. Penelitian ini mengembangkan suatu aplikasi penyuluhan pertanian menggunakan layanan SMS Gateway sebagai upaya untuk membantu kegiatan penyuluhan pertanian khususnya tanaman hortikultura secara jarak jauh tetapi dengan proses yang cepat dan tepat serta dapat diperoleh kapan dan dimana saja. Aplikasi ini dibangun menggunakan metode Unified Process, bahasa pemrograman Java NetBeansIDE 7.3. 1, MySQL sebagai Database Management System dan Gammu sebagai software untuk membantu pembangunan aplikasi SMS Gateway . Berdasarkan hasil pengujian maka dapat disimpulkan bahwa 75% sistem ini dapat memberikan kontribusi yang baik bagi petani maupun penyuluh untuk melakukan penyuluhan pertanian secara jarak jauh.
Optimierung iterativer Rekonstruktionsverfahren bei unvollständigen Daten zur Anwendung in der Computerlaminographie

Computed tomography (CT) is a three-dimensional imaging method, widely used in medicine and non-destructive testing (NDT). The mathematical model of CT leads to the Radon transform, whose inversion constitutes a classic ill-posed inverse problem. Apart from the reconstruction algorithms of filtered backprojection type, there also exist iterative methods, which allow to exploit a priori knowledge about the object. Especially if only few or limited data are available, as in computed laminography (CL), using this a priori information leads to much better results than those of standard reconstruction algorithms. The aim of the present work lies in optimizing iterative reconstruction techniques to compensate for artifacts caused by limited data thus rendering the resulting recontructions amenable to NDT defect analysis. To that end, sampling strategies are developed, reducing aliasing artifacts. Three-dimensional volume filters are integrated into the reconstruction process to correct noisy and artifact-ridden reconstruction due to few projections. Morphologic operators are used to compute effective a priori weighting volumes. Previous, faulty a priori methods are rectified by adapted ray length corrects thereby achieving significant increases in image contrast. Region-of-interest artifacts caused by truncated projections, which are common in computed laminography, are compensated for by a geometric ray weighting algorithm. Simulated and real measured data sets are used to demonstrate the achieved algorithmic improvements.
Language from the Body: Iconicity and Metaphor in American Sign Language

1. A glimpse of the material 2. Motivation and linguistic theory 3. Iconicity defined and demonstrated 4. The analogue-building model of linguistic iconicity 5. Survey of iconicity in signed and spoken languages 6. Metaphor in American Sign Language: the double mapping 7. Many metaphors in a single sign 8. The vertical scale as source domain 9. Verb agreement paths in American Sign Language 10. Complex superposition of metaphors in an American Sign Language poem 11. The future of signed-language research Appendices References Index.
Performance measurement of computer networks to improve congestion control

In communication networks, congestion occurs when a link or node is carrying data beyond its capacity limits and hence its quality of service (QoS) deteriorates. Typical effects of congestion include queuing delay, packet loss (loss of information) or the blocking of new connections. Congestion needs to be controlled to ensure the QoS and also to increase efficiency of the system in order to survive the ever growing competition of service providers in market today. In order to evaluate the QoS it is essential to measure the performance of network in terms of throughput, efficiency, delay, packet dropping probability etc. These parameters are influenced by variations in the network parameters like packet size, packet interval and link capacity. To implement congestion control early detection of packet drop or monitoring link buffer would help avoid congestion. The concentration of this paper is around network parameters, how they affect system performance and how these results can help avoid congestion scenario.
Building a prototype for quality information retrieval from the World Wide Web

Given the phenomenal rate by which the World Wide Web is changing, retrieval methods and quality assurance have become bottleneck issues for many information retrieval services on the Internet, e.g. Web search engine designs. In this thesis, approaches that increase the efficiency of information retrieval methods, and provide quality assurance of information obtained from the Web, are developed through the implementation of a quality-focused information retrieval system. A novel approach to the retrieval of quality information from the Internet is introduced. Implemented as a component of a vertical search application, this results in a focused crawler which is capable of retrieving quality information from the Internet. The three main contributions of this research are: (1) An effective and flexible crawling application that is well-suited for information retrieving tasks on the dynamic World Wide Web (WWW) is implemented. The resulting crawling application (crawler) is designed after having observed the dynamics of the web evolution through regular monitoring of the WWW; it also addresses the shortcomings of some existing crawlers, therefore presenting itself as a practical implementation. (2) A mechanism that converts human quality judgement through user surveys into an algorithm is developed, so that user perceptions of a set of criteria which may lead to determination of the quality content on the web pages concerned, can be applied to a large number of Web documents with minimal manual effort. This was obtained through a relatively large user survey which was conducted in a collaborative research work with Dr Shirlee-Ann Knight of Edith Cowan University. The survey was conducted to determine what criteria Web documents are perceived to meet to qualify as a quality document. This results in an aggregate numeric score for each web page between 0 and 1 respectively indicating that it does not meet any quality criteria, or that it meets all quality criteria perfectly. (3) This research proposes an approach to predict the quality of a web page before it is retrieved by a crawler. The approach allows its incorporation into a vertical search application which focuses on the retrieval of quality information. Experimental results on real world data show that the proposed approach is more effective than any other brute force approaches which have been published so far. The proposed methods produce a numerical quality score for any text based Web document. This thesis will show that such a score can also be used as a web page ranking criterion for horizontal search engines. As part of this research project, this ranking scheme has been implemented and embedded into a working search engine. The observed user feedback confirms that search
Nonblocking conditions for multi-log/sub 2/ N multiconnection networks

The multi-log/sub 2/ N network is an abstract parallel switch architecture which possesses many desirable characteristics for high-speed electronics and nonlogic photonic switches, such as fault-tolerance, log/sub 2/ N stages between each inlet-outlet pair, almost zero crosstalk, self-routing capability, etc. The conditions for rearrangeable nonblocking and for strictly nonblocking multi-log/sub 2/ N multiconnection networks, which have been open problems, are presented. It is shown that the same nonblocking conditions hold regardless of whether the multi-log/sub 2/ N networks deploy one-to-one connections or multiconnections. The recently proposed UMSR (unified multiconnection-segmenting rule) and CIG (connection-intersection graph) allow one to ease the analysis of intersecting multiconnections in the network. In particular, the concept of the virtual degree of a CIG facilitates characterization of the nonblocking conditions for the multi-log/sub 2/ N multiconnection networks. <<ETX>>
Program Slicing Based on Monadic Semantics

Syntax: p :: = program ide is b b :: = d begin c end d :: = const ide = l.e | var ide : t | d1; d2 c :: = ide := l.e | c1; c2| skip | read ide | write l.e |while l.e do c endwhile | if l.e then c1 else c2 endif
Proteomics: A Frontier between Genomics and Metabolomics

First came genomics, then proteomics, and now pioneers are looking ahead towards metabolomics. These three successive frontiers in the study of systemwide biology are the result of breakthroughs in biotechnology, but it is statistics that turned data into knowledge, allowing progress to the next breakthrough. Genomics studies the action and expression of genes. The Human Genome Project is the most famous effort in this area, and it has provided a roadmap of the approximately 30,000 genes in human DNA. The other major line of work in genomics concerns microarray analysis. Microarrayanalysis goes beyond just listing the sequence of nucleic acids that determine a gene and seeks understanding of gene activity in specific tissues. Microarrays determine the activity levels of thousands of genes, and statistics links these levels with important medical conditions such as disease and treatment predictions. New technology of the 1990s was critical to the growth of genomics. Initial approaches for sequencing used DNA fragments with radioactive labels. It cost about $10 to determine a single base pair (the A, C, G, and T nucleic acids). Subsequent developments led to fluorescent tags at a cost of only about
Passive-aggressive resistance: OS fingerprint evasion

A disinfection indicator mounted on medical equipment which is inserted into a channel for forceps and repeatedly used after thermal sterilization, includes a deformable portion, made of a shape memory alloy having a one-way shape memory effect, which is deformed plastically by an external force, from a shape indicating disinfection of the medical equipment to a predetermined original shape when the medical equipment is in use, and which is modified from the original shape to the shape indicating disinfection of the medical equipment when the medical equipment is heated to a temperature higher than a predetermined temperature.
Design of adaptive mesh routing chip

Design of an adaptive router chip with minimum possible delay is described. The designed router is for message passing between computers which are connected in 2D mesh topology. The implemented algorithm is the negative-first adaptive wormhole routing algorithm which is deadlock free, livelock free, minimal, and maximally adaptive. The functional blocks of the router and asynchronous interfaces between routers were verified with VHDL modeling and simulation. Future enhancements for dynamic fault handling features are discussed. <<ETX>>
Machine Learning and Language Acquisition: A Model of Child's Learning of Turkish Morphophonology

MACHINE LEARNING AND LANGUAGE ACQUISITION: A MODEL OF CHILD’S LEARNING OF TURKISH MORPHOPHONOLOGY Altun, Yasemin MS., Cognitive Science Supervisor: Assoc. Prof. Dr. Cem Bozşahin Co-Supervisor: Assoc. Prof. Dr. Deniz Zeyrek
Karel J Robot: A Gentle Introduction to the Art of Object-Oriented Programming in Java

Figure 1-1 is a map illustrating the structure of the robot world, whose shape is a great flat plane with the standard north, south, east, and west compass points. The world is bounded on its west side by an infinitely long vertical wall extending northward. To the south, the world is bounded by an infinitely long horizontal wall extending eastward. These boundary walls are made of solid neutronium, an impenetrable metal that restrains robots from falling over the edges of the world.
A multi-layer restoration strategy for reconfigurable networks

The multi-layer restoration strategy (MRS) is an integrated solution for link, path and node failure restoration in SDH/SONET networks. Extension to circuit assignment is also straightforward. MRS consists of two parallel processes; for both pre-planned and real-time restoration. The pre-planned restoration process attempts to make connections along a preferred path to achieve extremely fast, low-contention, pre-optimised restoration. The real-time restoration process supplements this to ensure high restorability when the preferred route does not succeed in establishing a connection. By employing a distributed background route finder, MRS also offers both a means of network restorability assessment and distributed route optimisation.
Detection of K-Complex in Sleep Eeg Signal with Matched Filter and Neural Network

The k-complex is a transient waveform that contributes in assessment of sleep stages. Main problems in assessments are similarity of k-complex to the other waves in EEG signal, which is buried in noise. To overcome these problems, methods based on reference signal, such as, matched filtering, neural network, etc. are used. Detection of a particular event, i.e. k-complex with a known pattern in a noisy EEG signal is the subject of this paper. Keyword: k-complex, matched filter, Art ificial Neural Network (ANN).
Données bilingues pour la TAS français-anglais : impact de la langue source et direction de traduction originales sur la qualité de la traduction

Dans cet article, nous prenons position par rapport à la question de la qualité des données bilingues destinées à la traduction automatique statistique en terme de langue source et direction de traduction originales à l’égard d’une tâche de traduction français-anglais. Nous montrons que l’entraînement sur un corpus contenant des textes qui ont été à l’origine traduits du français vers l’anglais améliore la qualité de la traduction. Inversement, l’entraînement sur un corpus contenant exclusivement des textes dont la langue source originale n’est ni le français ni l’anglais dégrade la traduction.
Robustness performance of the Internet connectivity under targeted attacks

Recent advances in scale free networks have claimed that their topologies are very weak against attacks. The inhomogeneous connectivity distribution of large-scale current communication networks, such as the Internet, could be exploited by evil hackers in order to damage these systems. However there have not been many studies on the approaches and consequences of such targeted attacks. In this paper, we propose an in-depth study of the Internet topology robustness to attacks at the network layer. Several attacking techniques are presented as well as their effects on the connectivity of the Internet. We show that although the removal of a small fraction of nodes can damage the Internet connectivity, such a node removal attack would still require a large amount of work to be carried out.