Miracle-dz/UniFAR-FTUs huggingface dataset:
An Efficient Video Management Technique using Forward Timeline on Multimedia Local Server

In this paper, we present a new video management technique using forward timeline to efficiently store and delete the videos on a local server. The proposed method is based on capturing the changing preference of the videos according to recentness, frequency, and playback length of the requested videos. For this purpose, we utilize the forward timeline which represents the time area within a number of predefined intervals. The local server periodically measures time popularity and request segment of all videos. Based on the measured data, time popularity and request segment, the local server calculates the mean time popularity and mean request segment of a video using forward timeline. Using mean time popularity and mean request segment of video, we estimate the ranking and allocated storage space of a video. The ranking represents the priority of deletion when the storage area of local server is running out of space and the allocated storage space means the maximum size of storage space to be allocated to a video. In addition, we propose an efficient storage space partitioning technique in order to stably store videos and present a time based free-up storage space technique using the expected variation of video data in order for avoiding the overflow on a local server in advance. The simulation results show that the proposed method performs better than other methods in terms of hit rate and number of deletion. Therefore, our video management technique for local server provides the lowest user start-up latency and the highest bandwidth saving significantly.
A logic gate for reversible pipelining

This paper describes a logic gate for reversible pipelining that needs about 2/spl times/(number of input signals) of transistors and 4-phase clock, which is approximately half of those of other circuits either in transistor count or in clock phase. Simulation results of a 2-stage shift register based on this gate show that this implementation with a clock generator dissipates 59% less power than the theoretical power dissipation lower limit of conventional CMOS implementations.
P2 codes: pragmatic trellis codes utilizing punctured convolutional codes

A single convolutional code of fixed rate can be punctured to form a class of higher rate convolutional codes. The authors extend this pragmatic approach to the case where the core of the trellis decoder is a Viterbi decoder for a punctured version of the de facto standard, rate 1/2 convolutional code. >
Multi-objective totally distributed power and rate control for wireless communications

In this paper, we introduce a new totally distributed algorithm for combining power and rate control in wireless communication systems. The main feature of this algorithm over the multi-objective distributed power and rate control (MODPRC) algorithm presented in M. Elmusrati and H. Koivo (2003), is that the actual CIR is not needed to update the power and the rate. It works with the on-off commands of the power control in existing cellular communication systems. The algorithm is based on minimizing a multi-objective cost function. In this paper we defined three objectives. The objectives are minimizing the transmitted power, achieving at least the minimum carrier to interference ratio (CIR), which is defined at the minimum data rate, and achieving the maximum CIR, which is defined at maximum data rate. An optimized solution can be obtained by using a multi-objective optimization technique. The suggested algorithm is simple to implement and efficient. The simulations carried out on the UMTS specifications indicate that our algorithm gives a very good performance in terms of data rate, outage probability, and transmission power consumption.
Incremental Improvement of the Evaluation Algorithm in the Concept Map Based Knowledge Assessment System

The paper is devoted to the knowledge assessment system that has been developed at the Department of Systems Theory and Design of Riga Technical Uni- versity for the last four years. The system is based on concept maps that allow displaying the knowledge structure of a particular learner in the form of a graph. Teacher's created concept maps serve as a standard against which learner's concept maps are compared. However, it is not correct to compare teacher's and learners' con- cept maps by examining the exact equivalence of relationships in both maps, because people construct knowledge in different ways. Thus, an appropriate mechanism is needed for the flexible evaluation of learners' concept maps. The paper describes the algorithm implemented in the concept map based knowledge assessment system and its evolution through four prototypes of the system.
Error resilient video coding with priority data classification using H.264 flexible macroblock ordering

Flexible macroblock ordering (FMO) is a new error resilience feature in the H.264 (MPEG-4 part 10) video coding standard. The paper exploits FMO to offer a new classification algorithm for prioritised video transmission. Instead of using the default mapping structures of FMO, an optimisation algorithm in which the more important macroblocks (MBs) are categorised in a separate slice group (SG), which corresponds to high-priority packets for transmission, is proposed. The importance of each MB is determined based on its eventual influence on picture quality. This is assessed by considering the fact that the successful transmission of an MB not only enhances the quality of the associated pixels, but also improves the quality of its adjacent lost MBs by improving the efficiency of error concealment. It is assumed that the network can offer a prioritised service for successful transmission of the high-priority SG. Based on this, a vulnerability factor for each MB is determined, and a certain proportion of high-vulnerability MBs at each frame to limit the impact of temporal error propagation is intra-updated. It is shown, where the proposed mapping algorithm outperforms the default mappings of the H.264 codec, that this prioritised transmission will improve the subjective and objective video quality in situations with a high probability of transmission errors.
A New Method for Location Entity Recognition

Location Entity Recognition (LER) is an important part in Named Entity Recognition (NER), and it is a significant research topic in this domain to use the abundant unlabeled corpus to improve recognition performance. A new method combined Active Learning with Self-Training is proposed, which selects samples based on confidence and 2-Gram frequency, and expands the training set by annotating the unlabeled corpus manually and automatically. The experiments reveal that the F-measure of this method is 8% higher than randomized Active Learning while the annotation is only 1/3 of the latter. And using this method, only 5% of characters in the extended training set need to be labeled to acquire a similar performance with complete manual annotation.
Acidity Control and Catalysis of Pentasil Zeolites

Abstract Acidities of pentasil zeolites were measured and correlated with aluminum content using the following methods: (1) Acid-base indicator method, (2) NH3-TPD spectra, (3) GC pulse adsorption of pyridine and 4-methylquinoline, and (4) FTIR spectroscopy of adsorbed pyridine. By controlling the acidity of pentasil zeolites, we have succeeded in obtaining high catalytic performance both in paraselective dealkylation of cymenes and in vapor-phase Beckmann rearrangement of cyclohexanone oxime to ∊-caprolactam. In the dealkylation, moderate acidity of Li-ZSM-5 was the key to avoid side reactions while keeping a high conversion of cymenes. In the Beckmann rearrangement, neutrality and crystallinity of the pentasil zeolite were keys to obtain a high lactam selectivity, and a high lactam selectivity of 95% was attained by the surface treatment with chlorotrimethylsilane. The active sites were elucidated to be neutral silanols on the external surface of zeolite.
Application and Research of Content Management System based on Trusted Computing

Trusted computing is a hot topic of information security technology research nowadays. It was developed based on computed system. The paper analyzed the present situation about trusted computing. In order to satisfy the requirements of little enterprise and government, we designed and implemented the content management system (CMS) based on trusted computing. It improves the security of the enterprise information. Its implementation takes a good reference for improving the application of CMS. Keywords—trusted computing, content management system, information security, access control
Five Past Midnight in Bhopal

Dominique Lapierre, Javier Moro Scribner, £17.99, pp 352 ! [][1] ISBN 0 743 22034 X Rating: ! [Graphic][2] ! [Graphic][3] ! [Graphic][4] ! [Graphic][5] This account of one of the worst public health disasters of the past 20 years makes for uncomfortable, even scary, reading, but it is simultaneously unputdownable. Journalist Dominique Lapierre and scriptwriter Javier Moro spent three years in Bhopal in the Indian state of Madhya Pradesh in the late 1990s, where in 1984 a cloud of toxic gas had escaped from a pesticide plant owned by US firm Union Carbide, killing and injuring thousands. In an investigative tour de force, Lapierre and Moro interviewed witnesses and participants from India and the United States and spliced together the causes and aftereffects of the catastrophic poison cloud. The result reads like a thriller, albeit one whose terrifying outcome is known from the outset. Sometimes the story is incredible enough to seem entirely fictional—it seems impossible that negligence and … [1]: /embed/graphic-1.gif [2]: /embed/inline-graphic-1.gif [3]: /embed/inline-graphic-2.gif [4]: /embed/inline-graphic-3.gif [5]: /embed/inline-graphic-4.gif
Complex named entities in Spanish texts: Structures and properties

We present a linguistic analysis of Named Entities in Spanish texts. Our work is focused on the determination of the structure of complex proper names: names with coordinated constituents, names with prepositional phrases and names formed by several content words initialized by a capital letter. We present the analysis of circa 49,000 examples obtained from Mexican newspapers. We detailed their structure and give some notions about the context surrounding them. Since named entities belong to open class of words they are being created daily, so the challenge for a named entity recognizer is to precisely determine the boundaries of new entity names in any text and to analyze thoroughly their components for deep semantic analysis. Knowing their general classes of structure it should be possible to derive useful heuristics or a specific grammar for natural language processing applications.
Intraframe coding for picture transmission

A great variety of intraframe coding techniques have been proposed and demonstrated in recent years. Most of them exploit the properties of both the image and the human viewer. These properties are discussed briefly so as to provide a framework for describing the various coding techniques. The development of intraframe coders has been an evolutionary process. Techniques such as delta modulation (DM) and differential pulse code modulation (DPCM) which were proposed in the early 1950's are still being actively studied and improved today. A survey of this early work is given as a preliminary to more detailed discussion of the work from 1967 to the present. Three main approaches are evident in these studies. First, by making linearizing assumptions, frequency domain analysis can be applied to the problem of minimizing the visibility of granular coding noise. Second, in order to exploit the nonlinear properties of the human visual system, a time domain approach to the development of coding algorithms is found most useful. Third, by exploiting only the statistics of the source, efficient reversible encoding operations can be developed. These three approaches are dealt with in some detail. Possible avenues for further research are pointed out.
Supervisory control of timed discrete-event systems

The Ramadge-Wonham framework for control of discrete event systems is augmented with timing features by use of Ostroff's semantics for timed transition models. It is shown that the RW concept of controllability and the existence of maximally permissive supervisory controls can be suitably generalized. The enhanced setting admits subsystem composition and the concept of forcible event as an event that preempts the tick of a global clock. An example of a simple manufacturing cell illustrates how the new framework can be used to solve synthesis problems which may include logic-based, temporal and quantitative optimality specifications. >
Generalized Predictive Control Of.dynamic Systems

Generalized Predictive Control (GPC) describes an algorithm for the stable, adaptive control of dynamic systems. In the algorithm, a control input is generated which minimizes a quadratic cost function consisting of a weighted sum of errors between desired and predicted future system outputs and,future predicted control increments. The predictions are obtained from an internal where model of the plant dynamics. The GPC approach is similar in concept to preview control, which has been discussed in the manual control literature. The GPC algorithm is appliced to a simplified rotorcraft terrain following/ terrain avoidance problem and its performance is compared to that of a conventional compensatory automatic system in terms of flight path performance, control activity and control law implementation. The potential of the GPC algorithm to serve as a paradigm for the human operator is briefly discussed.
Fast Real-Time Adaptive Audio Mixing Schemes in Multimedia Conferencing

In multimedia conferencing, multi-point controlling unit (MCU) provides the capabilities to process audio, video and data stream for multi-point conference. The capability of audio processing is basic and requires more for real-time criteria. This paper categorizes and analyzes the schemes, and a new multi-point speech audio mixing scheme using align-to-self weighted algorithm is provided to meet the demand of the practical need of multi-point speech processing. By applying the adaptive mixing algorithms, these high-performance processing schemes do not use the saturation operation which is widely used in multimedia processing. Therefore, no new noise will be added to the output, and they have low complexity and good hearing perceptibility. In the mean time, the schemes are designed for parallel processing, so they can be easily implemented with hardware, such as DSPs, and widely applied in multimedia conferencing systems.
Minimum jerk theory revisited

This paper discusses the minimum jerk model in detail. Target function based models of the human arm movements are described and compared. One top level approach, the minimum jerk model, is selected and presented: different variations of boundary conditions and via point constraints are solved in 3D. Analytic and iterative (dynamic programming based) solutions are discussed and compared. The mathematical background and algorithmic solutions are given for easier application of this model. The best method to describe free movement by this model is given.
A test for the existence of solutions in ill-conditioned power systems

A complete analytical study of the invariant manifolds for the Newton-Raphson solution of the power flow equations is presented. Based on these results, a new test is developed to reduce the computational effort of finding the solutions to ill-conditioned power systems. A detailed study of some well-known test systems clearly indicates that the new method is at least 50% more efficient than the conventional Newton-Raphson method in finding a pair of close solutions in ill-conditioned power systems. <<ETX>>
A computationally efficient technique for discriminating between hand-written and printed text

During the processing of documents from a range of sources, it is useful to be able to discriminate documents with hand-written text from those with printed text. This allows the two to be processed in different ways; for example the typed text using a high speed automated OCR reader and the hand-written text manually, so optimising the use of the expensive OCR reading machine. The paper describes a computationally efficient technique for discriminating between hand-written and printed text on mail. The method employs two stages of processing. The first involves the extraction of a number of low-level features from an image of the sample text, while the second stage is a parametric classification operation, which employs a relatively simple feedforward multilayer perception neural network. The processing involved in each of these stages is described in detail. In addition, results which were obtained when using the optimised techniques to discriminate between hand-written and printed addresses are presented.
Technology Adoption into Teaching and Learning by Mainstream University Faculty: A Mixed Methodology Study Revealing the “How, When, Why, and Why Not”

This mixed methodology study was designed to examine the factors and the process by which mainstream university faculty members adopt and implement technology in teaching and learning. Data were collected through a survey administered to faculty from 3 academic colleges (N = 117) and interviews of selected survey respondents (N = 9). Path analysis of survey data resulted in path coefficients indicating relationships between variables and significant direct effects to variables. Interview data were analyzed through constant comparative analyses. Patterns of perceptions and usage among participants emerged, providing rich data that triangulates with survey and path analysis findings. The results suggest that peer interactions and collegiality are significant direct effects in helping faculty members learn new innovations and strategies. The findings have important implications for informing the design of professional development for faculty adoption of technology.
THE KINSEY REPORT

as was that of Freud in the days when their parents and grandparents were young. This kind of introduction prejudices the reader's approach to the book; and a detached appraisal is made even more difficult because sex is so strong and basic an instinct that it cannot be viewed without an emotional bias governed by personal experience and upbringing, and, in the case of the doctor, by the disclosures of his patients. This is well illustrated by the report itself. It sets out to be an impersonal scientific statement of facts, but the authors cannot resist commenting on moral implications. They suggest, for example, that if premarital coitus were not taboo then homosexual practices might be prevented in large measure. The fact that 2,094 of their unmarried women who admitted coitus had produced 476 pregnancies is dismissed by pointing out that this means only one pregnancy in 1,000 sexual acts, and that methods of contraception are improving and becoming more widely known. Forty-four cases of venereal disease amongst these women is counted of little consequence because the treatment of these conditions is becoming more efficient. Again, figures in the report show that those men and women who have sinned according to the moral or legal codes of the community are less likely to condemn similar transgressions by others and are more likely to transgress again. Those who are sexually promiscuous before marriage are more likely to be unfaithful after marriage. Nevertheless it should be emphasized that the approach is basically scientific and the authors have set out to supply facts to replace impressions. The report is a companion to one on Sexual Behaviour in the Human Male, which was also written by Dr. Kinsey and his associates of the Institute of Sex Research at Indiana University and published in 1948, and the authors have wisely included summaries of their previous findings for purposes of comparison. The book is divided into three main sections. The first provides
A surrogate-model-based method for constrained optimization

This paper describes an algorithm and provides test results for surrogate-model-based optimization. In this type of optimization, the objective and constraint functions are represented by global "surrogates", i.e. response models, of the "true" problem responses. In general, guarantees of global optimality are not possible. However, a robust surrogate-model-based optimization method is presented here that has good global search properties, and proven local convergence results. This paper describes methods for handling three key issues in surrogate-model-based optimization. These issues are maintaining a balance of effort between global design space exploration and local optimizer region refinement, maintaining good surrogate model conditioning as points "pile up" in local regions, and providing a provably convergent method for ensuring local optimality. Acknowledgments: Work of the first author was supported by NSERC (Natural Sciences and Engineering Research Council) fellowship PDF-2074321998, and the first three authors was supported by DOE DE-FG03-95ER25257, AFOSR F49620-98-10267, The Boeing Company, Sandia LG-4253, ExxonMobil and CRPC CCR-9120008. Copyright ©2000 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
Seleção de uma abordagem de gestão de investimentos em Sistemas e Tecnologias da Informação

We are living in a period of enormous technological transformations and the organizations face new opportunities that the IS/IT implementations provide, hoping that these investments will help to increase productivity and business prosperity. Meanwhile, several studies performed in public and private sectors have proven that the investments done in IS/IT have not brought the expected benefits. One of the crucial aspects of the IS/IT investments management is the identification of the potential benefits and the guarantee that these benefits will be achieved.
Web information retrieval based on ontology

The purpose of the Information Retrieval (IR) is to find a set of documents that are relevant for a specific information need of a user. Traditional Information Retrieval model commonly used in commercial search engine is based on keyword indexing system and Boolean logic queries. One big drawback of traditional information retrieval is that they typically retrieve information without an explicitly defined domain of interest to the users so that a lot of no relevance information returns to users, which burden the user to pick up useful answer from these no relevance results. In order to tackle this issue, many semantic web information retrieval models have been proposed recently. The main advantage of Semantic Web is to enhance search mechanisms with the use of Ontology’s mechanisms. In this paper, we present our approach to personalize web search engine based on ontology. In addition, key techniques are also discussed in our paper. Compared to previous research, our works concentrate on the semantic similarity and the whole process including query submission and information annotation.
Mining for fraud

As technological advances open new avenues for communications and commerce, they also open new markets for fraud. To combat fraud, vulnerable businesses subject their databases of customer transactions to several data mining techniques that search for patterns indicative of fraud. The difficulty is that real-life fraud takes many different forms and is constantly evolving. Thus, one big challenge in fraud detection is coming up with algorithms that can learn to recognize a great variety of fraud scenarios and adapt to identify and predict new scenarios. Another challenge is creating systems that work quickly enough to detect fraudulent activities as they occur.