Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Static Prediction Scheme for Filter Cache Structures

Energy dissipation in cache memories is becoming a major design issue for embedded microprocessors. Predictive filter cache based instruction cache hierarchy has been shown to effectively reduce the energy-delay product. In this paper, a simplified pattern prediction algorithm is proposed for the filter cache hierarchy. The prediction scheme relies on the static nature of the hit or miss pattern of the instruction access streams. The static patterns are maintained in a small 32x1-bit wide Static Pattern Table (SPT). Our investigations show that the proposed prediction algorithm is superior to that based on Next Fetch Prediction Table (NFPT) for all the benchmarks simulated. With the proposed approach, energy delay product reduction of up to 6.79% was evident when compared with that using NFPT. Moreover, since the prediction scheme is based on the static assignment of patterns, it lends well for area and power efficient implementation than that employs dynamic pattern prediction although it is marginally inferior (i.e. 0.69%) in term of energy delay product.
Comparison between Wiener and CLS image restoration techniques for multichannel images

Recently, multichannel image restoration gains population in many applications such as color imaging systems, image sequences, etc. In the present paper, we classify many multichannel restoration techniques as Wiener and CLS approaches, which are respectively based on stochastic and deterministic models of the original image. We also compare two approaches in the sense of both restoration performance and implementational efficiency.
The structure of the lexical component in a lexico-conceptual knowledge base

in the last years a language model, the Lexical Constructional model (airal & Ruiz de mendoza, 2008, 2009; Ruiz de mendoza & mairal, 2008) has been developed to account for all facets of meaning, including pragmatic and discourse phenomena. Recent research in the LC m (Perinan & Arcas, 2004, 2005, 2007a, 2010a, 2010b) has built an online lexico-conceptual base, FunGramKB, for natural language processing ( nLP) applications. FunGramKB consists of two levels of information (i.e. a lexical level and a conceptual level) which in turn comprise several modules. The present contribution focuses on the lexicon, one of the two modules in the lexical level. The aim of the paper is twofold: first, to analyse the FunGramKB lexical component; second, to illustrate the semantic representation in the lexicon of the concepts stored in the ontology through a contrastive analysis of the French and english lexical entries for speech act predicates.
Heart sound segmentation algorithm based on heart sound envelogram

Desribes the development of a segmentation algorithm which separates the heart sound signal into four parts: the first heart sound, the systole, the second heart sound and the diastole. The segmentation of phonocardiogram (PCG) signals is the first step of analysis and the most important procedure in the automatic diagnosis of heart sounds. This algorithm is based on the normalized average Shannon energy of a PCG signal. The performance of the algorithm has been evaluated using 515 periods of PCG signals recording from 37 objects including normal and abnormal. The algorithm has achieved a 93 percent correct ratio.
Construction and Performance Evaluation of QC-LDPC Codes over Finite Fields

Low Density Parity Check (LDPC) codes are one of the block coding techniques that can approach the Shannon’s limit within a fraction of a decibel for high block lengths. In many digital communication systems these codes have strong competitors of turbo codes for error control. LDPC codes performance depends on the excellent design of parity check matrix and many diverse research methods have been used by different study groups to evaluate the performance. In this research work finite fields construction method is used and diverse techniques like masking, dispersion and array dispersion for the construction of parity check matrix H. These constructed codes are then simulated to make the performance evaluation. The key interest of this research work was to inspect the performance of LDPC codes based on finite fields. A comprehensive masking technique was also an objective of this research work. Simulation was done for different rates using additive white Gaussian noise (AWGN) channel. In MATLAB a library of different functions was created to perform the task for base matrix construction, dispersion, masking, generator matrix construction etc. Results give an idea that even at BER of 10-6 these short length LDPC codes performed much better and have no error floor. BER curves are also with 2-3dB from Shannon’s limit at BER of 10-6 for different rates.
Oriented System Design in Embedded Systems Design

1. Abstract The development of complex embedded systems is feasible do to the low cost provided by the technology advance. This complexity is also present in the design process. The computer aided-design (CAD) tools evolution has aided this process. However, nowadays development strategies are not suitable for the design of many applications. This work shows advantages and disadvantages of application oriented system design used to develop two embedded systems. The disadvantages found in these two designs may help AOSD methodology improvement in hardware generation.
Prodtu: A Novel Probabilistic Approach to Classify Uncertain Data Using Decision Tree Induction

Classification is a data mining technique used to predict group membership for data instances. Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information. Value uncertainty arises in many applications during the data collection process. Sources of uncertainty include measurement/quantization errors, data staleness, and multiple repeated measurements. A way to handle data uncertainty is to abstract probability distributions by summary statistics such as means and variances. This approach is known as averaging. Another approach is to consider the complete information carried by the probability distributions to build a decision tree. This approach is known as Distribution-based. In this thesis I have devised novel algorithm to build decision trees for classifying such uncertain data. I have applied suitable probability distribution due to that data uncertainty leads to decision trees with remarkably higher accuracies.
Processing content-and-structure queries for XML retrieval

Document-centric XML collections contain text-rich documents, marked up with XML tags. The tags add lightweight semantics to the text. Querying such collections calls for a hybrid query language: the text-rich nature of the documents suggest a content-oriented (IR) approach, while the mark-up allows users to add structural constraints to their IR queries. We propose an approach to such hybrid contentand-structure queries that decomposes a query into multiple content-only queries whose results are then combined in ways determined by the structural constraints of the original query. We report on ongoing work and present preliminary evaluation results, based on the INEX 2003 test set.
Autonomic Network-Aware Metascheduling for Grids: A Comprehensive Evaluation

compared with existing commercial meta-schedulers and heuristics found in literature, both network-aware and non-network-aware. These proposals are the GridWay metascheduler (Huedo et al. (2007)), the Gridbus Broker (Venugopal et al. (2008)), Min-min (Freund presented. This paper presents a comprehensive performance evaluation of an autonomic network-aware meta-scheduler ( ANM ), that combines concepts from Grid meta-scheduling with autonomic computing, in order to provide users with a more adaptive job management system. The architecture involves consideration of the status of the network when reacting to changes in the system – taking into account the workload on computing resources and the network links when making a meta-scheduling decision. Thus, the architecture provides meta-scheduling of jobs to computing resources and connection admission control, so that the network does not become overloaded. This book approaches the grid computing with a perspective on the latest achievements in the field, providing an insight into the current research trends and advances, and presenting a large range of innovative research papers. The topics covered in this book include resource and data management, grid architectures and development, and grid-enabled applications. New ideas employing heuristic methods from swarm intelligence or genetic algorithm and quantum encryption are considered in order to explain two main aspects of grid computing: resource management and data management. The book addresses also some aspects of grid computing that regard architecture and development, and includes a diverse range of applications for grid computing, including possible human grid computing system, simulation of the fusion reaction, ubiquitous healthcare service provisioning and complex water systems.
Review on Email Forensics Using Sequence Mining

Digital forensics is the use of scientifically derived and proven methods to preserve, validate, identify, analyse, interpret and present the digital evidence stored in digital devices. With the rapid and advanced growth in internet gives rise to advanced forms of digital crime. During criminal activities crime committed use digital devices, forensic examiners have to adopt practical frameworks and methods to recover data for analysis which can comprise as evidence. Investigation of Digital forensics adopts three essential processes: Data Generation, Data Preparation and Data warehousing. Data Mining has unlimited potential in the field of Digital Forensics. Computer forensics is an emerging discipline investigating the computer crime. In this paper we are introducing the cyber Forensics using Sequence Mining algorithm, by comparing it with association rule mining algorithm parameters.
Epilepsy as a dynamic complex system

One of the most important properties in the systems is complexity. When a great level of complexity exists in a system, it is considered as a complex system. The complex systems can be soft systems and hard systems. In hard systems when their elements are interrelated in a non-linear way, they are considered as complex systems, that is to say, complex systems are those that contain a great number of elements interacting in a non-linear way. To try to understand the behavior of this type of systems diverse mathematical tools have been developed. A new scientific discipline with great impact in the analysis of the complex systems has been developed in recent years; we refer to the fractal analysis. This article discusses epilepsy as a complex dynamic system. In this work, epilepsy is defined and its causes are mentioned. The problems epilepsy causes are set too. Some works in fractal framework have been written before, and they are mentioned as examples. This work has been written in order to put the basis for analyzing, characterizing and modeling epilepsy under a fractal theory framework.
Optimizing remote accesses for offloaded kernels: application to high-level synthesis for FPGA

In the context of the high-level synthesis (HLS) of regular kernels offloaded to FPGA and communicating with an external DDR memory, we show how to automatically generate adequate communicating processes for optimizing the transfer of remote data. This requires a generalized form of communication coalescing where data can be transferred from the external memory even when this memory is not fully up-to-date. Experiments with Altera HLS tools demonstrate that this automatization, based on advanced polyhedral code analysis and code generation techniques, can be used to efficiently map C kernels to FPGA, by generating, entirely at C level, all the necessary glue (the communication processes), which is compiled with the same HLS tool as for the computation kernel.
Syntactic effects of morphological change

1. Introduction PART I: MORPHOLOGICALLY DRIVEN CHANGES 2. The History of the Future 3. Case and Middle English Genitive Noun Phrases 4. Split Constituents Within NP in the History of English: Commentary on Allen 5. Inflectional Morphology and the Loss of Verb-Second in English 6. The Rise of the to Dative in Middle English 7. Double Objects and Morphological Triggers for Syntactic Case 8. Cue-Based Change: Inflection and Subjects in the History of Portuguese Infinitives 9. Loss of Verbal Morphology and the Status of Referential Null Subjects in Brazilian Portuguese 10. Loss of Overt Wh-Movement in Old Japanese 11. Changes in Subject Case Marking in Icelandic PART II: INDIRECT LINKS BETWEEN MORPHOLOGY AND SYNTAX 12. A Reinterpretation of the loss of verb-second in Welsh 13. The Loss of IP-Scrambling in Portuguese: Clause Structure, Word Order Variation and Change PART III: INDEPENDENT CHANGES IN MOVEMENT OPERATIONS 14. Residual V-to-I 15. Syntax and Morphology are Different: Commentary on Jonas 16. Verb-Object Order in Old English: Variation as Grammatical Competition 17. VO or OV? That's the Underlying Question: Commentary on Pintzuk 18. Movement, Morphology, and Learnability 19. Object Shift and Holmberg's Generalization in the History of Norwegian PART IV: COMPUTER SIMULATIONS 20. The Computational Study of Diachronic Linguistics 21. Grammar Competition and Language Change
A program for the conversion of productions in an extended Backus-Naur-Form to an equivalent Backus-Naur-Form

Abstract : This report describes the use of computer program that converts a grammar's production rules from extended Backus-Naur-Form (EBNF) to another equivalent set of production rules in ordinary Backus-Naur-Form suitable for use with the Yet Another Compiler-Compiler (YACC) system. This permits the language designer to use the far less bulky EBNF formats, and then to automatically convert to BNF for use with YACC. A PDP-11 computer system running the UNIX operating system is assumed.
Transmission of compressed video over radio links

A system for transmitting a compressed video signal over a radio link has been developed. The scheme involves altering the output bitstream of an H.261 videocodec to allow data transmission over a Digital European Cordless Telecommunications (DECT) demonstrator system. The system was used to demonstrate acceptable picture quality at bit rates between 32 kbit/s and 284 kbit/s. The high error rate possible for a radio link requires that techniques for improving the error resilience of the coding scheme be investigated. The resilience may be improved by forward error correction, interleaving of the data stream and by repeating blocks which have been corrupted by transmission. The viability of the system has been proven by hardware trials but further study is required before the system is usable on a real network.
Collaborative language engineering : a case study in efficient grammar-based processing

During the 1990s, work in language engineering saw a dramatic increase in the power and sophistication of statistical approaches to natural languge processing (NLP), along with a growth in the recognition that these methods alone cannot meet the full range of demands for applications of NLP. While statistical methods can bring real advatages in robustness and efficiency, they do not provide the precise, reliable representations of meaning which more conventional symbolic grammars can supply for natural language. A consistent, fine-grained mapping between form and meaning is of critical importance in some NLP applications. This volume provides an update on the development and application of broad-coverage declarative grammars built on sound linguistic foundations and presents several aspects of international research efforts to produce comprehensive, re-usable grammars and efficient technology for parsing and generating with such grammars.
Differential Impact of Web Technology on Various Dimensions of Students' Academic and Non-academic Activities (a Case Study)

Internet and computing have been advocated as one shot solution to many existing constraints and difficulties of education system. Our work aims to study exhaustively differential impact of Web technology on various dimensions of students' academic performance, co-curricular, extra-curricular and non-academic activities. We analyzed the Internet usage behavior of students in terms of average time spent in Internet per day and category of visited Websites by them along with the effects of these Internet usage behaviors on their academic performance (CPI) and other co-curricular and extra-curricular activities. For this analysis we used proxy server access log files of an engineering college in India which are collected during 30 months continually. We have classified student activities (with extending ODP classification scheme) under four categories: Curricular, Co-Curricular, Extra-Curricular and Non-Curricular. Only 59% of female students used Internet continually as against 81% of male students. This analysis led us to conclude that a significant gender gap exists in terms of Internet usage.
Informing Information Science: The Case for Activity Theory

A promising new approach to information science is activity theory. Activity theory not only emphasizes the centrality of practice as doing and activity, but also foregrounds setting and context as essential orienting concepts. Most importantly, activity theory can provide information science with a rich, unifying, and heuristically valuable vocabulary and conceptual framework that will facilitate both the continual betterment of practice and the secure transferability and cumulation of knowledge.
Open-Domain Question Answering from Large Text Collections

Many books have indexes, but most textual media have none. Newspapers, legal transcripts, conference proceedings, correspondence, video subtitles, and web pages are increasingly accessible with computers, yet are still without indexes or other sophisticated means of finding the excerpts most relevant to a reader's question. Better than an index, and much better than a keyword search, are the high-precision computerized question-answering systems explored in this book. Marius Pasca presents novel and robust methods for capturing the semantics of natural language questions and for finding the most relevant portions of texts. This research has led to a fully implemented and rigorously evaluated architecture that has produced experimental results showing great promise for the future of Internet search technology.
Fast software encryption : 5th International Workshop, FSE '98, Paris, France, March 23-25, 1998 : proceedings

Cryptanalysis I. - New Results in Linear Cryptanalysis of RC5. - Higher Order Differential Attack of a CAST Cipher. - Cryptanalysis of TWOPRIME. - New Stream Ciphers. - JEROBOAM. - Fast Hashing and Stream Encryption with Panama. - Joint Hardware / Software Design of a Fast Stream Cipher. - Design Construction Analysis. - On the Security of the Hashing Scheme Based on SL 2. - About Feistel Schemes with Six (or More) Rounds. - Monkey: Black-Box Symmetric Ciphers Designed for MONopolizing KEYs. - Hash Functions. - MRD Hashing. - New Constructions for Secure Hash Functions. - Pseudo-Random Generators. - Cryptanalytic Attacks on Pseudorandom Number Generators. - New Block Ciphers. - CS-Cipher. - On the Design and Security of RC2. - Serpent: A New Block Cipher Proposal. - Modes of Operations. - Attacking Triple Encryption. - Cryptanalysis of Some Recently-Proposed Multiple Modes of Operation. - Cryptanalysis II. - Differential Cryptanalysis of the ICE Encryption Algorithm. - The First Two Rounds of MD4 are Not One-Way. - Differential Cryptanalysis of KHF.
The terraSAR-X satellite project

The objective of TerraSAR-X is the setup of an operational space borne X-Band SAR system in order to produce remote sensing products for commercial and scientific use. The TerraSAR-X project is conducted under the aegis of the DLR Space Flight Management and comprises a space and a ground segment. The space segment is designed and built by ASTRIUM GmbH, the ground segment is set up by several institutions of DLR, namely the German Remote Sensing Data Center, the Remote Sensing Technology Institute, the German Space Operations Center and the Microwaves and Radar Institute.
Novel reluctance machine concepts for variable speed drives

Little effort has been expended on improving the torque capability of various types of synchronous reluctance machines for potential use in motor drives. Based on preliminary work, it appears that substantial improvements can be made in the design of such motor drives, resulting in performance characteristics which could match or exceed that of the induction of variable reluctance machines. Six innovative variable-speed reluctance machine drive configurations which show considerable promise are set forth to demonstrate the possibilities. <<ETX>>
Accurate low‐cost microwave component models using shape‐preserving response prediction

A technique for accurate modeling of microwave components is presented. Our methodology exploits a recently introduced shape‐preserving response prediction (SPRP) technology, which is adopted here to work directly with electromagnetic simulation data of the device under consideration. Unlike in original SPRP, no low‐fidelity model is used, which simplifies implementation and makes our method applicable for a variety of microwave structures. SPRP allows us to create models at a low computational cost of a few electromagnetic simulations, which is convenient when solving various design tasks such as parametric optimization. As demonstrated using several test structures including microstrip filters and a planar antenna, the modeling accuracy is competitive to standard approximation techniques. Application examples for design optimization and statistical analysis are also provided. Copyright © 2011 John Wiley & Sons, Ltd.