Miracle-dz/UniFAR-FTUs huggingface dataset:
Design Research in Information Systems: Theory and Practice

The study of Information Systems (IS) design is an essential part of the education of IS students and professionals. The purpose of this book is to provide a thorough reference on Design Science Research (DSR), and it comes from two authors closely identified with DSR Alan Hevner and Samir Chatterjee. As founders of the Design Science Research in Information Systems and Technology (DESRIST) annual conference, and as leading educators and researchers in the field, these authors, along with several invited contributors , are uniquely qualified to create this easy-to-read, easy-to-understand, and easy-to-apply text/reference. Suitable for graduate courses in IS, computer science, software engineering, engineering design and other design-oriented fields, it can be used as a core text or a reference for doctoral seminars in DSR. IS faculty and researchers will find much of value here as well. It requires no extensive background in design and can be appreciated by practitioners working in IS or technology design. Its 18 chapters are all individually referenced, and two appendices provide a reprint of the seminal 2004 MISQ paper by Hevner, March, Park, and Ram, as well as a list of exemplar papers in Design Science. The book provides a thorough introduction to DSR, a look at DSR in IS, examinations of DSR frameworks and design theory, and a look at the key principles of DSR in IS. Other chapters look at design for software-intensive systems, people and design, the past and present of software designs, evaluation methods, focus-group use, design creativity, and a design language for knowledge management systems. Later chapters explore integrating action research with design research, design science in management disciplines, a critical realist perspective of DSR in IS, a taxonomic look at design of emerging digital services, the dissemination of DSR, and, finally, a look at the future for DSR in IS.
The transformation of spatal experience in narrative discourse

This dissertation investigates the status of spatial information as a structural element of narratives of personal experience. Traditionally, event, temporal and rhetorical relation information are considered structural – i.e., minimally necessary to define local and textual elements of narrative discourse. However, while this information is readily apparent from surface linguistic forms, spatial information, and its status as structural, is less straightforward. To uncover correspondences between spatial information and structural elements of narrative discourse, I rely on a series of machine learning experiments to analyze morpho-syntactic, formal and cognitive semantically encoded spatial information indexed by spatial prepositions and verbs from a particular frame of reference, relative to events, rhetorical relations, tense, aspect, explicit temporal reference and text sequence in three corpora of narrative discourses (conversational, adventure travel, and criminal activity narratives). Based on strength of prediction in the machine learning experiments – where statistical classifiers are able to predict spatial, temporal, event and rhetorical information to between 60 and 70% accuracy with an increase to over 80% when implicit spatial information and text sequence are considered – spatial information is argued to demonstrate structural patterns on clausal and textual levels. These structural patterns hold for all corpora despite contextual parameters, number of authors, length of text and density of spatial information. Further, the
The increasing Anglicisation of Tok Pisin: an analysis of the Wantok corpus

Based on the hypothesis that the influence of English is increasing in Papua New Guinea, the present study investigates the development of the lexicon of Tok Pisin. This dissertation aims to show the increasing Anglicisation by means of a corpus analysis. The texts chosen cover a period of over 30 years (from 1972 – 2004) and were taken from Wantok, the only newspaper that appears in Tok Pisin. The corpus amounts up to over 250,000 words, and is made up of the Stori Tumbuna texts, meaning ‘ancestor stories’ or ‘folktales’, and the Pes 3 (i.e., page three) texts. Chapter I of the study outlines the history of Tok Pisin, while chapter II deals with pidgins and creoles: the theories of their origin is followed by the developmental stages from pidgin to creole, including the typical features displayed in each phase, and finally the notion of a (post-)creole continuum in Papua New Guinea is discussed. Chapter III explains the significance of Wantok and describes the compilation of the corpus. Chapter IV, the corpus analysis, is the central part of the present study. Lexical change is perceived as the cover term for classical word formation processes and other means of enlarging the Tok Pisin lexicon. Affixation, for instance, plays a major role: As a result of a systematic division into bases and affixes, 49 suffixes and 25 prefixes that are derived from English were identified, and the productivity was calculated for each affix. Beil, edvais and kensa, based on English ‘bail’, ‘advice’ and ‘cancer’, respectively, are only 3 out of 818 words listed in the section entitled ‘adapted loans’, demonstrating that words from all lexical fields are being incorporated into the lexicon. Further illustrations of the proliferation of English can be found in the categories acronyms, backformation, clipping, multifunctionality, synonymy and homonymy.
A Unified Model for the Analysis of Job Completion Time and Performability Measures in Fault-Tolerant Systems

This paper deals with the analysis of job completion time and performability measures in degradable/repairable fault-tolerant computer systems. These systems change their performance (e.g., mode of operation or service rate) in response to different events such as failure or repair. We allow different types of service-preemption interactions due to changes in the system operation. When all service preemptions are of the preemptive-resume type then the completion time of a given job and the accumulated service (or reward) until a given time are dual measures. In this case we derive and relate different performance and reliability measures that have been proposed for the analysis of fault-tolerant computer systems. Numerical methods are employed to evaluate these measures and examples are used to demonstrate the use of the techniques developed.
Medical term extraction using the EWN ontology

Considering a term as a lexical unit that is used in a thematically restricted domain, it seems to be clear that the use of ontologies and/or specialized thesaurus should be useful for term extraction. In this paper, we analyze several ways about how a general ontology like EWN may be used to retrieve and classify terms in the medical domain.
Standard ML Signatures for a Protocol Stack

This paper describes the design of a protocol stack implemented in Standard ML. Standard ML''s signatures are a language construct which can be used to specify or constrain the interface of a module. The design includes both a generic signature which generalizes all the protocol modules, and individual signatures specific to each protocol module. The specific signatures all inherit from the generic signature. The implementation of each protocol is parametrized, so protocols can be composed into custom protocol stacks. The parameter to each protocol is constrained only by the generic signature, and this lets any protocol instance satisfying a specific signature be used as the parameter to any other protocol. As a result, the design and implementation are highly modular, and syntactic compatibility between modules is checked by the compiler. To provide some context for the discussion of the signatures, some of the details of the implementation are also presented.
Measurement and Classification of Humans and Bots in Internet Chat

The abuse of chat services by automated programs, known as chat bots, poses a serious threat to Internet users. Chat bots target popular chat networks to distribute spam and malware. In this paper, we first conduct a series of measurements on a large commercial chat network. Our measurements capture a total of 14 different types of chat bots ranging from simple to advanced. Moreover, we observe that human behavior is more complex than bot behavior. Based on the measurement study, we propose a classification system to accurately distinguish chat bots from human users. The proposed classification system consists of two components: (1) an entropy-based classifier and (2) a machine-learning-based classifier. The two classifiers complement each other in chat bot detection. The entropy-based classifier is more accurate to detect unknown chat bots, whereas the machine-learning-based classifier is faster to detect known chat bots. Our experimental evaluation shows that the proposed classification system is highly effective in differentiating bots from humans.
Data Mining Patterns: New Methods and Applications

Since the introduction of the Apriori algorithm a decade ago, the problem of mining patterns is becoming a very active research area, and efficient techniques have been widely applied to the problems either in industry or science. Currently, the data mining community is focusing on new problems such as: mining new kinds of patterns, mining patterns under constraints, considering new kinds of complex data, and real-world applications of these concepts. Data Mining Patterns: New Methods and Applications provides an overall view of the recent solutions for mining, and also explores new kinds of patterns. This book offers theoretical frameworks and presents challenges and their possible solutions concerning pattern extractions, emphasizing both research techniques and real-world applications. Data Mining Patterns: New Methods and Applications portrays research applications in data models, techniques and methodologies for mining patterns, multi-relational and multidimensional pattern mining, fuzzy data mining, data streaming, incremental mining, and many other topics.
THE CAMERA MOUSE: PRELIMINARY INVESTIGATION OF AUTOMATED VISUAL TRACKING FOR COMPUTER ACCESS

A system has been developed that uses a camera to visually track the tip of the nose or the tip of a finger or some other selected feature of the body and moves the mouse pointer on the screen accordingly. People without disabilities quickly learn to use the system to spell out messages or play games. People with severe cerebral palsy have tried the system with some initial success. Our goal is to provide computer access to people who are quadriplegic and cannot speak by developing computer vision systems.
Agents that reduce work and information overload

Publisher Summary Computers are becoming the vehicle for an increasing range of everyday activities. Acquisition of news and information, mail and even social interactions and entertainment have become more and more computer based. These technological developments are not in line with a change in the way people interact with computers. Techniques from the field of AI, in particular so-called autonomous agents, can be used to implement a complementary style of interaction, which has been referred to as indirect management. Agents assist users in a range of different ways. They hide the complexity of difficult tasks, they perform tasks on the user's behalf, they can train or teach the user, they help different users collaborate, and they monitor events and procedures. The chapter focuses on an approach to building interface agents. It presents results from several prototype agents that have been built using this approach, including agents that provide personalized assistance with meeting scheduling, email handling, electronic news filtering, and selection of entertainment.
Microsoft Excel 2000 Functions in Practice

From the Publisher: Microsoft Excel 2000 Function Reference is more than just a discussion of all the functions. The Function Reference is packed with examples and detailed information on Excel's built-in functions and their uses. The accompanying CD augments the help files, allowing users to link to live workbooks illustrating certain functions. The book also includes one chapter dedicated to the most commonly used functions and one chapter that explores how to integrate multiple functions together for advanced usage. -Provides a clear picture of Excel's uses in different job categoriesaccounting, finance, marketing, and production -CD-ROM contains all the text within the book, which is integrated into Excel's existing help files. Additionally, those help files have links to the workbooks used to illustrate the functions
MODELING THE PREREQUISITES OF EMPOWERMENT

A mounting clamp particularly suited for mounting medical accessories on support poles comprises a stationary clamping surface which can be attached to an accessory housing. A cam is pivotly mounted on a trunnion connected to the stationary clamping surface has a spiral clamping surface, the stationary clamping surface and spiral clamping surface being positioned to constitute a clamping means when the clamp is in a clamping position. A spring means having one end connected to the trunnion and the other end connected to the cam is provided for biasing the cam to the clamping position. A lever pivotly mounted on the trunnion has a projection which engages the cam and causing it to pivot with the lever when the lever is pivoted to a clamp releasing position. The cam preferably has two spiral surfaces, one generated by a line parallel to the axis of rotation of the cam and the second cam surface by a line forming an angle with the axis of rotation of the cam. Two stationary surfaces preferably oppose the two cam surfaces, whereby the clamp bears on a total of four surfaces of a support pole when fully secured.
Meta Data and UPML - UPML Version 2.0

Problem-solving methods provide reusable architectures and components for implementing the reasoning part of knowledgebased systems. In the course of IBROW phase 1, we developed the Uniform Problem-solving Method description Language (UPML), aimed at describing and implementing such architectures and components to facilitate their semiautomatic reuse and adaptation. This report describes the second version of UPML meta-ontology. It also presents web-based syntaxes for UPML and an evaluation of possible ways to exploit an emerging language for ontology modeling and interchange, OIL, as a grounding basis for UPML. Identifier D5 Class Deliverable Version 7 Version date 19-12-2000 Status Final Distribution Public Responsible partner Vrije Universiteit Amsterdam IBROW Project IST-1999-19005 An Intelligent Brokering Service for Knowledge-Component Reuse on the World-Wide Web
R-Stream 3.0: Technologies for High Level Embedded Application Mapping

Abstract : R-Stream is a High Level Compiler being developed as part of the DARPA IPTO Polymorphous Computer Architecture Program. The compiler is targeted at the problem of mapping high performance embedded signal/knowledge processing applications. Our 2.0 version, presented as a poster at HPEC last year, will be performing application mapping via the Streaming Virtual Machine interface to low level compilers (LLC). This presentation will focus on the implementation and architecture of the high level compiler (HLC). In particular, we will present the performance results and insights from our 2.0 version of our Integrated Radar Tracker (IRT) running simulated on the reference Polymorphous Computer Architecture (PCA). The performance results will be accompanied by details of the application transformations that 2.0 will be performing, including granularity selection, high level streaming transformations, and the manner in which we integrate the data parallel front end of IRT with the more task/thread parallel back end. Furthermore, we expect to be able to provide insight into the benefits and limitations of some aspects of the morphware software architecture, in particular the phased HLC/LLC compilation structure, the SVM interface, and the abstraction of architectures into the Streaming Machine Model (SMM) and Hierarchical Machine Model (HMM). We may further be able to accompany this with some performance results for the application mapped to commercial architectures that are emerging with similarities to the PCA architecture class.
Individual user behaviour modelling for effective web recommendation

With the growth of the Web, E-commerce activities are also becoming popular. Product recommendation is an effective way of marketing a product to potential customers. Based on a user’s previous searches, most recommendation methods employ two dimensional models to find relevant items. Such items are then recommended to a user. Further too many irrelevant recommendations worsen the information overload problem for a user. This happens because such models based on vectors and matrices are unable to find the latent relationships that exist between users and searches. Identifying user behaviour is a complex process, and usually involves comparing searches made by him. In most of the cases traditional vector and matrix based methods are used to find prominent features as searched by a user. In this research we employ tensors to find relevant features as searched by users. Such relevant features are then used for making recommendations. Evaluation on real datasets show the effectiveness of such recommendations over vector and matrix based methods.
Efficient Image Alignment with Outlier Rejection

Image alignment is one of the most widely used techniques in computer vision. Applications range from optical flow and tracking to layered motion, mosaic-ing, and face coding. Of particular concern in many applications is the efficiency of the algorithm. This concern has led to the development of several efficient algorithms such as the Hager-Belhumeur algorithm and the inverse compositional algorithm. Another concern is the robustness of the algorithm. Image alignment is a form of template matching. What happens if the template does not match the image it is being matched to because the image is occluded? Similarly, what happens if specularities cause the brightness constancy assumption to be invalid? A solution to these problems is to use a robust form of image alignment. Most robust image alignment algorithms are inefficient however. In this paper we present a robust extension to the inverse compositional algorithm that is almost as efficient.
La Vénus d'Ille

« Dédain, ironie, cruauté, se lisaient sur ce visage d’une incroyable beauté cependant. En vérité, plus on regardait cette admirable statue, et plus on éprouvait le sentiment pénible qu’une si merveilleuse beauté pût s’allier à l’absence de toute sensibilité. »L’histoire se déroule à Ille, une petite ville du Roussillon. Le narrateur, un archéologue, s’y rend en compagnie d’un guide. Ils viennent y rencontrer M. de Peyrehorade, un antiquaire qui doit leur montrer des ruines antiques se trouvant dans la région. Quelques jours auparavant, une Vénus romaine en bronze d’une merveilleuse beauté, mais à l’expression cruelle et malveillante, a été découverte en partie enfouie dans le sol de sa propriété. Au cours de l’exhumation, un ouvrier a eu la jambe cassée. Une aura de crainte superstitieuse entoure désormais la statue. Le jeune chercheur remarque alors sur la Vénus de mystérieuses inscriptions révélant entre-autre des menaces, et constate une expression étrange et sévère sur son visage. Pendant ce temps se prépare le mariage du fils de M. de Peyrehorade et Melle de Puygarrig. C’est alors que le drame survient et bouleverse tout.
XBOOLE-A TOOLBOX FOR MODELLING, SIMULATION, AND ANALYSIS OF LARGE DIGITAL SYSTEMS

This paper stimulates the use of XBOOLE for model! ing, simulation, and analysis of large digital systems. XBOOLE is a toolbox for solving Boolean problems with a high number of Boolean variables efficiently using a 16 or 32 bit personal computer, a work station or a VAX-computer. Both behaviour and structure of digital systems are modelled by lists of ternary vectors in a compact manner. The working principles of XBOOLE are discussed using simulation as an example. XBOOLE represents its full power for solving analysis tasks.
Identi cation of nonlinear systems-A survey

A survey of nonlinear system identification algorithms and related topics is presented by extracting significant results from the literature and presenting these in an organised and systematic way. Algorithms based on the functional expansions of Wiener and Volterra, the identification of block-oriented and bilinear systems, the selection of input signals, structure detection, parameter estimation and recent results from catastrophe theory and included. The limitations, relationships and applicability of the methods are discussed throughout.
Probing the Mystery of the Use of Saffron in Medieval Nunneries

ABSTRACT Saffron is a substance that today has only marginal significance in Western culture. This was different in the past: during the Middle Ages and the Renaissance the unique sensorial qualities of saffron were employed socially to encode the dried stemma of the crocus sativus L. as an object of conspicuous consumption reserved for the wealthy. Newly discovered sources demonstrate that the perception of saffron was a complex phenomenon that builds on the sensorials but surpasses them: as a tonic, mood elevator, antidepressant, and hallucinogenic drug saffron could be used to achieve various altered perceptions ranging from heightened sensitivity to states of trance. Employing the Marxian notion of the creation of value and of commodity fetishism I analyze the disparate utilitarian and exchange values assigned to saffron.
MULTI-LINGUAL SCREEN READER AND PROCESSING OF FONT-DATA IN INDIAN LANGUAGES

Dedication I dedicate this work to my loving parents ANTONI MUTHU RAYAR and MUTHU MARY who are always behind my growth. work carried out by him under our supervision. The contents of this thesis, in full or in parts, have not been submitted to any other Institute or University for the award of any degree or diploma. Date: ACKNOWLEDGMENTS I thank my adviser Mr.Kishore Prahallad for his guidance during my thesis work. Because of him now I am turned into not only a researcher but also a developer. I thank Prof.Rajeev Sangal and Dr.Vasudeva Varma for their valuable advices and inputs for improving the screen reading software. I am also thankful to my speech lab friends and other IIIT friends who helped me in many ways. They were with me when I needed a help and when I needed a relaxation. I am very grateful to my colleagues Mr.Diwakar, Ms.Susmitha, Mr.Rohit and Ms.Bhuvaneswari in a special way for their advices, helps and contributions in my work. The Lab (Speech Lab, LTRC) and the Institute (IIIT, Hyderabad) provided me a wonderful environment to work. Last but not the least; I thank God for all his grace on me. Screen reader is a form of assistive technology to help visually impaired people to use or access the computer and Internet. So far, it has remained expensive and within the domain of English (and some foreign) language computing. For Indian languages this development is limited by 1) availability of Text-to-Speech systems in the language and 2) support for reading glyph based font encoded text. Because there is no consistency within font definitions, number of glyphs per font and glyph code mapping for such glyphs for Indian languages. So there are many fonts per language and huge amount of electronic data is available in those fonts. So most of the existing Indian Language screen readers do not support many fonts, consequently not many languages. Most of the Indian language electronic data is either Unicode encoded or glyph based font encoded. Processing Unicode data is quite straight forward because it follows distinguished code ranges for each language and there is a one-to-one correspondence between glyphs (shapes) and characters. This is not true in the case of glyph based font encoded data. Hence it becomes necessary to identify the font encoding and convert the font-data into a phonetic notation suitable for the TTS system. This thesis …