Miracle-dz/UniFAR-FTUs huggingface dataset:
Sentiment Classification for Dynamic Opinions using Natural Language Processing

The opinions and reviews posted in the websites are analyzed mostly based on static data. Till date, the methods applied to determine whether the opinions are positive or negative. But, now a days, as products are increasing day by day and a huge amount of data reviews are available online. So, this mechanism not considers the opinions at comprehensive level. This paper proposes a new method for classifying sentiments that are extracted dynamically from websites. Reviews of various products and comments from social networking sites are aggregated using Bayesian Networks and Natural Language processing Techniques. An improved stemming algorithm is also proposed in this paper. The proposed model input a group of comments and formulates ranks to the reviews for the products. Thus, user can easily estimate the quality of the product based on the comments posted in social
Development of a testbed for multisensor distributed decision algorithms.

Abstract : Distributed decision problems arise when two or more sensors viewing the same phenomenon must work cooperatively to draw inferences about the observed situation. Typical examples are in target detection and target classification. Such problems are characterized by distributed processing of information and communication between processors over a limited bandwidth data link. This thesis presents some statistical distributed decision algorithms and describes the implementation of one of them on a set of loosely coupled multiprocessor clusters which simulate the distributed environment characterizing multisensor decision problems. Keywords include: Distributed Decision Processing; Computer Network; Microcomputer Clusters; Process Synchronization; and Network Communication. (Theses)
Technology Integration: The Importance of Administrative Support

Abstract The role of administrators is critical to the successful acceptance, adoption, integration and implementation of technology by teachers. Technology leadership that models, supports and expects computer technology use results in more effective curriculum integration of the technology by teachers. In order to foster teacher productivity with computer technology, administrators must apply essential leadership characteristics to the technology component of the schooling process just as they apply these critical leadership characteristics to other elements of instruction. The purpose of this study was to measure and report the amount of administrative support teachers believed they received in regard to the use of technology for instructional purposes. Additionally, the study surveyed principals to gather information about how they support teacher use of computer technology. Finally, the survey results from the teachers and the principals were compared.
ENCRYPTION-BASED PROTECTION PROTOCOLS FOR INTERACTIVE USER-COMPUTER COMMUNICATION

This thesis develops a complete set of protocols, which utilize a block cipher, e.g., the NBS data encryption standard, for protection interactive user-computer communication over physically unsecured channels. The use of the block cipher protects against disclosure of message contents to an intruder, and the protocols provide for the detection of message stream modification and denial of message service by an intruder. The protocols include facilities for key distribution, two-way login authentication, resynchronization following channel disruption, and expedition of high priority messages. The thesis presents designs for modules to implement the protocols, both in the terminal and in a host computer system, and discusses the results of a test implementation of the modules on Multics.
Flexible Domain Adaptation for Multimedia Indexing

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Flexible Domain Adaptation for Multimedia Indexing Emilie Morvant, Amaury Habrard, Stéphane Ayache
Searching for optima in non-stationary environments

Application of evolutionary algorithms to non-stationary problems is the subject of research discussed. We extended evolutionary algorithm by two mechanisms dedicated to non-stationary optimization: redundant genetic memory structures and a particular diversity maintenance technique-random immigrants mechanism. We made experiments with evolutionary optimization employing these two mechanisms (separately and together); the results of experiments are discussed and some observations are made.
Discontinuity Meshing for Radiosity Image Synthesis

The simulation of global illumination is one of the most fundamental problems in computer graphics, with applications in a wide variety of areas. This problem studies the light energy transfer between reflective surfaces in an environment. Initially derived from the field of thermal engineering, radiosity has emerged over the past several years as one of the most promising solution methods. Despite having produced some of the most realistic-looking computer generated images to date, radiosity methods have not yet met with widespread acceptance. The main obstacle has been their need for very careful and time consuming user intervention, without which, current techniques are prone to generating a wide range of annoying visual artifacts. These artifacts are generally due to poor surface meshing, resulting in insufficient sampling density and ineffective sample placement. This thesis investigates the roots of this problem by taking a step back from the traditional finite element formulation of radiosity and examining the more general integral equation formulation. An analysis of the radiance functions described by this equation shows how umbra and penumbra boundaries as well as other sharp changes in illumination actually correspond to discontinuities in the radiance function and its derivatives. The results of this analysis have led to the concept of discontinuity meshing, whereby accurate approximations to the radiance functions are computed by explicitly representing their discontinuities as boundaries in the mesh. This concept has been applied to the design of a discontinuity meshing algorithm for polyhedral environments. The algorithm is embedded in a progressive refinement radiosity system and uses piecewise quadratic interpolation to reconstruct a smooth radiance function while preserving discontinuities where appropriate. The radiosity solutions produced by the new algorithm are compared against a photograph of a physical environment, an analytical solution, and a conventional, yet state-of-the-art, radiosity system, and its performance on architectural models of medium complexity is measured. The results are remarkably accurate both numerically and visually. The new discontinuity meshing algorithm drastically reduces, and in many cases eliminates, many of the annoying artifacts typical of conventional radiosity meshes, producing images of previously unattained quality. Moreover, the meshing is completely automatic and produces solutions that are highly view-independent.
NESL: A Nested Data-Parallel Language (Version 2.6)

This report describes NESL, a strongly-typed, applicative, data-parallel language. NESL is intended to be used as a portable interface for programming a variety of parallel and vector supercomputers, and as a basis for teaching parallel algorithms. Parallelism is supplied through a simple set of data-parallel constructs based on sequences (ordered sets), including a mechanism for applying any function over the elements of a sequence in parallel and a rich set of parallel functions that manipulate sequences. NESL fully supports nested sequences and nested parallelism -- the ability to take a parallel function and apply it over multiple instances in parallel. Nested parallelism is important for implementing algorithms with complex and dynamically changing data structures, such as required in many graph and sparse matrix algorithms. NESL also provides a mechanism for calculating the asymptotic running time for a program on various parallel machine models, including the parallel random access machine (PRAM). This is useful for estimating running times of algorithms on actual machines and, when teaching algorithms, for supplying a close correspondence between the code and the theoretical complexity. This report defines NESL and describes several examples of algorithms coded in the language. The examples include algorithms for median finding, sorting, string searching, finding prime numbers, and finding a planar convex hull. NESL currently compiles to an intermediate language called Vcode, which runs on the Cray Y-MP, Connection Machine CM-2, and Encore Multimax. For many algorithms, the current implementation gives performance close to optimized machine-specific code for these machines. Note: This report is an updated version of CMU-CS-92-103, which described version 2.4 of the language. The most significant changes in version 2.6 are that it supports polymorphic types, has an ML-like syntax instead of a lisp-like syntax, and includes support for I/O.
HIZKING21: Integrating language engineering resources and tools into systems with linguistic capa

We present the main lines of the HIZKING21 project. Its main objective is to promote basic research in language engineering, orienting this investigation towards the requirements of the globalized environment of the present day. Our scope of work is the development of language technologies for the Basque language, as well as the integration of resources and tools for the language industry, both already existing resources and resources to be developed in this project, into different devices (PCs, PDAs, electrical household appliances, car equipment and so on). Our goal is to contribute to the easy and user-friendly interaction with all kind of devices, using language as the natural means of communication. The starting up of this project has been possible thanks to the advances and developments in the Natural Language Processing and Language Engineering for Basque language made by the participants of this projects in the last fifteen years, as well as to the fact of sharing a vision of to the more adequate strategy for the development of these technologies in the case of a minority language like Basque.
Vision-Based Self-Localization of Autonomous Guided Vehicle Using Landmarks of Colored Pentagons

This paper describes an idea for determining self-localization using visual landmark. The critical geometric dimensions of a pentagon are used here to locate the relative position of the mobile robot with respect to the pattern. This method has the advantages of simplicity and flexibility. This pentagon is also provided nth a unique identification, using invariant features and colors that enable the system to find the absolute location of the patterns. This algorithm determines both the correspondence between observed landmarks and a stored sequence, computes the absolute location of the observer using those correspondences, and calculates relative position from a pentagon using its (ive vortices. The algorithm has been implemented and tested. In several trials it computes location accurate to within 5 centimeters in less than 0.3 second.
Realestate online information systems

Several commercial real-estate sites provide listings of available commercial property on the Internet. These listings are generated on the basis of selection criteria as floor area, price and location. Despite the obvious utility of the listings and their promise for the transaction process and market transparency, one third of commercial realestate listing sites went bankrupt in 2001 and 2002. To provide an explanation for the failure, 63 commercial real-estate sites were analysed and classified into three basic business models: the Research / Information model, the Marketing model and the Transaction model. A common success factor for all models is the functionality of the site, especially interaction between the user and the available information. The paper proposes that the transfer of existing architectural representations, information-processing instruments and decision-taking tools is an essential component of future development towards integrated services that accompany a building throughout its lifecycle. This transfer amounts to (1) the addition of building and contextual information from standard documentation and online information services, (2) the derivation and coherent description of programmatic requirements database, and (3) advanced user interaction with building information.
Using Technology to support effective mathematics teaching and learning: what counts?

Merrilyn Goos is Director of the Teaching and Educational Development Institute at The University of Queensland. From 1998–2007 Professor Goos co-ordinated pre-service and postgraduate courses in mathematics education at UQ. Her research in mathematics education has investigated secondary school students’ learning, teaching approaches that promote higher order thinking, mathematics teachers’ learning and development, and the professional learning of mathematics teacher educators. This work has been supported by two ARC Large Grants and two ARC Discovery Grants. Professor Goos has also led large-scale, cross-institutional research projects commissioned by the Australian and Queensland Governments in numeracy education and school reform. In 2004 she won an Australian Award for University Teaching, followed in 2006 by an Associate Fellowship of the Carrick Institute for Learning and Teaching in Higher Education (now the Australian Learning and Teaching Council). Professor Goos is currently President of the Mathematics Education Research Group of Australasia. Abstract
Syntactic Sequential Composition of Security Protocols

Determining if two protocols can be securely composed requires analyzing not only their additive properties but also their destructive properties. In this paper we construct an enriched protocol model for analyzing instance- related properties and a canonical model for analyzing message structure- related properties. The protocol model provides for each participant the preconditions needed to run the protocol, the effects resulted from running the protocol, the generated message components and the transmitted and received message sequences. The canonical model integrates participant knowledge in the model reducing each message component to its basic type. This allows us to conduct a syntactical analysis on the canonical model and to detect multi-protocol attacks that can be constructed by attackers in case of composed protocols. The proposed method ensures the sequential composition of protocols with the satisfaction of preconditions and non- destructive effects.
Analyzing Collaborative Forecast and Response Networks

Collaborative forecasting involves exchanging information on how much of an item will be needed by a buyer and how much can be supplied by a seller or manufacturer in a supply chain. This exchange allows parties to plan their operations based on the needs and limitations of their supply chain partner. The success of this system critically depends on the healthy flow of information. This paper focuses on methods to easily analyze and visualize this process. To understand how the information travels on this network and how parties react to new information from their partners, this paper proposes a Gaussian Graphical Model based method, and finds certain inefficiencies in the system. To simplify and better understand the update structure, a Continuum Canonical Correlation based method is proposed. The analytical tools introduced in this article are implemented as a part of a forecasting solution software developed to aid the forecasting practice of a large company.
Issues in spelling research : an overview

This volume contains contributions from researchers at the forefront of cognitive and developmental psychology, linguistics and psycholinguistics, neuropsychology, computational approaches, connectionism and educational research. The key issues covered include: the diversity and evolution of writing systems; spelling in different languages and orthographies; information-processing models of spelling; representations and strategies; dual route models of spelling; analyses of spelling errors and latencies; computational models of spelling; connectionist approaches; representational issues and the sequential nature of spelling; spelling acquisition; developmental stages and causal transitions; interactions between spelling and reading acquisition; abnormal spelling processes in developmental and acquired dyslexia, deafness, hyperlexia, and other syndromes; spelling instruction and remediation; and computer-based remedial methods.
Machine Learning for Video Repeat Mining

An incommensurable amount of digital audiovisual information is becoming available in digital archives, on the World Wide Web, in broadcast data streams and in personal and professional databases, and this amount is only growing. Mining short video repeats is just providing an effective way to extract useful information from fast growing video data and exploit the reuse value of video archives. Short video clips, ranging from a few seconds to a few minutes, are widely used in many types of video production, including news video, sports video, education program where they serve as program logo, station logo, sports reply flying logo or as commercials. These short video clips are repeated many times in these video programs because of the nature of their usages in video production. Identifying these short video repeats based on their contents has great value in many media applications. First it can be used to monitor commercials and detect infringement of copyrighted content in broadcast videos or web videos (Agnihotri et al., 2003; Cheung et al., 2005; Lienhart et al., 1997; Snchez et al., 2002; Kashino et al., 2003; Yuan et al., 2004), and this content based video identification approach is an important complementary method to other media copyright protection techniques such as watermarking. Second, short video repeat mining is very useful in video structure analysis task. By detecting video repeats in unlabeled raw video data, we can discover correlation of different video parts and structural video elements used for syntactic segmentation purpose, thus video structure model can be effectively constructed and applied to video syntactical segmentation (Yang & Tian et al., 2007). Structure analysis by finding repeat objects has also been extensively employed in DNA data mining domain (Kurtz & Schleiermacher, 1999; Bao & Eddy, 2002). Video repeat mining also has many other applications, such as content summary, personalization as well as lossless video compression (Pua & Gauch, 2004). Video repeats are defined as those video clips having the same video contents, but low level signal distortions are allowed, such as noises, image quality reduction, frame size change et al. Video repeat mining problem can be classified into two categories: one problem is to identify known video repeats. In this case we have a model of a sample video in advance, then use this model to detect its repeated instances in video archives, which is treated as a pattern recognition problem; The second problem is to identify unknown video repeats. In this case we do not have prior knowledge about the video repeats including their frame O pe n A cc es s D at ab as e w w w . in te ch w eb . o rg
Conditional Re‐encoding Method for Cryptanalysis‐Resistant White‐Box AES

Conventional cryptographic algorithms are not sufficient to protect secret keys and data in white‐box environments, where an attacker has full visibility and control over an executing software code. For this reason, cryptographic algorithms have been redesigned to be resistant to white‐box attacks. The first white‐box AES (WB‐AES) implementation was thought to provide reliable security in that all brute force attacks are infeasible even in white‐box environments; however, this proved not to be the case. In particular, Billet and others presented a cryptanalysis of WB‐AES with 230 time complexity, and Michiels and others generalized it for all substitution‐linear transformation ciphers. Recently, a collision‐based cryptanalysis was also reported. In this paper, we revisit Chow and others’ first WB‐AES implementation and present a conditional re‐encoding method for cryptanalysis protection. The experimental results show that there is approximately a 57% increase in the memory requirement and a 20% increase in execution speed.
Knowledge Map： Mathematical Model and Dynamic Behaviors

Knowledge representation and reasoning is a key issue of the Knowledge Grid. This paper proposes a Knowledge Map (KM) model for representing and reasoning causal knowledge as an overlay in the Knowledge Grid. It extends Fuzzy Cognitive Maps (FCMs) to represent and reason not only simple cause-effect relations, but also time-delay causal relations, conditional probabilistic causal relations and sequential relations. The mathematical model and dynamic behaviors of KM are presented. Experiments show that, under certain conditions, the dynamic behaviors of KM can translate between different states. Knowing this condition, experts can control or modify the constructed KM while its dynamic behaviors do not accord with their expectation. Simulations and applications show that KM is more powerful and natural than FCM in emulating real world.
A 1.0 V GHz range 0.13 /spl mu/m CMOS frequency synthesizer

A 0.13 /spl mu/m CMOS user programmable PLL frequency synthesizer is designed to operate at low voltage (1.0-1.8 V) and cover a wide range of operating frequencies for multiple applications. This design incorporates low voltage circuits and a digital auto-trimming scheme which calibrates the center frequency of the VCO and limits the VCO gain variation for stability and reduced jitter over all process and temperature conditions. The maximum frequency is 1.25 GHz and 2.85 GHz at 1.0 V and 1.8 V supply voltages, respectively. Period jitter at 1 GHz output is 4.9 ps (r.m.s.) and 45.8 ps (p-p) with a power consumption of 3.9 mW for 1.0 V supply.
Analysis and design of fuzzy control systems

This paper surveys a new type of analysis and design method for fuzzy control systems based on a dynamic fuzzy model. First a dynamic fuzzy model is proposed. An identification method is given to identify the dynamic fuzzy model. Two design methods are developed to design a fuzzy control system. One called the local design method designs a controller for each local model, then, determines the stability conditions to guarantee the stability of the entire fuzzy control system. The other called the global design method uses the dynamic fuzzy global model to design the controller. This global model can be considered a system over a time-function ring, so linear time-varying system theory can be used to design controller. <<ETX>>
Metaheurísticas para resolver problemas de corte y empaquetado

C. Salto1, J.M. Molina2, E. Alba2, G. Leguizamon3 1Fac. de Ingenieŕia, Universidad Nacional de La Pampa, Calle 110 esq. 9, General Pico, Argentina. saltoc@ing.unlpam. edu.ar 2Dpto. Lenguajes y Ciencias de la Computacion, Universidad de Malaga, Campus de Teatinos, 29071, Malaga, Spain. {eat,jmmb}@lcc.uma. es 3Laboratorio de Investigacion y Desarrollo en Inteligencia Computacional, Universidad Nacional de San Luis Ejercito de los Andes 950 (5700), San Luis, Argentina. legui@unsl.edu.ar