Miracle-dz/UniFAR-FTUs huggingface dataset:
Image classification with dense sift sampling: An exploration of optimal parameters

In this paper we evaluate a general form of image classification algorithm based on dense SIFT sampling. This algorithm is present in some form in most state-of-the-art classification systems. However, in this algorithm, numerous parameters must be tuned, and current research provides little insight into effective parameter tuning. We explore the relationship between various parameters and classification performance. Many of our results suggest that there are basic modifications which would improve state-of-the-art algorithms. Additionally, we develop two novel concepts, sampling redundancy and semantic capacity, to explain our data. These concepts provide additional insight into the limitations and potential improvements of state-ofthe-art algorithms. IMAGE CLASSIFICATION WITH DENSE SIFT SAMPLING: AN EXPLORATION OF OPTIMAL PARAMETERS
The MIMO ARQ Channel

In this paper, the fundamental performance tradeoff of the delay-limited multiple-input multiple-output (MIMO) auto- matic retransmission request (ARQ) channel is explored. In par- ticular, we extend the diversity-multiplexing tradeoff investigated by Zheng and Tse in standard delay-limited MIMO channels with coherent detection to the ARQ scenario. We establish the three-di- mensional tradeoff between reliability (i.e., diversity), throughput (i.e., multiplexing gain), and delay (i.e., maximum number of re- transmissions). This tradeoff quantifies the ARQ diversity gain ob- tained by leveraging the retransmission delay to enhance the reli- ability for a given multiplexing gain. Interestingly, ARQ diversity appears even in long-term static channels where all the retrans- missions take place in the same channel state. Furthermore, by re- laxing the input power constraint allowing variable power levels in different retransmissions, we show that power control can be used to dramatically increase the diversity advantage. Our anal- ysis reveals some important insights on the benefits of ARQ in slow- fading MIMO channels. In particular, we show that 1) allowing for a sufficiently large retransmission delay results in an almost flat diversity-multiplexing tradeoff, and hence, renders operating at high multiplexing gain more advantageous; 2) MIMO ARQ chan- nels quickly approach the ergodic limit when power control is em- ployed. Finally, we complement our information-theoretic anal- ysis with an incremental redundancy lattice space-time (IR-LAST) coding scheme which is shown, through a random coding argu- ment, to achieve the optimal tradeoff(s). An integral component of the optimal IR-LAST coding scheme is a list decoder, based on the minimum mean-square error (MMSE) lattice decoding principle, for joint error detection and correction. Throughout the paper, our theoretical claims are validated by numerical results.
CarrierBased PWM of Multilevel Inverters

This chapter contains sections titled: PWM of Cascaded Single-Phase H-Bridges Overmodulation of Cascaded H-Bridges PWM Alternatives for Diode-Clamped Multilevel Inverters Three-Level Naturally Sampled PD PWM Three-Level Naturally Sampled APOD or POD PWM Overmodulation of Three-Level Inverters Five-Level PWM for Diode-Clamped Inverters PWM of Higher Level Inverters Equivalent PD PWM for Cascaded Inverters Hybrid Multilevel Inverter Equivalent PD PWM for a Hybrid Inverter Third-Harmonic Injection for Multilevel Inverters Operation of a Multilevel Inverter with a Variable Modulation Index Summary This chapter contains sections titled: References ]]>
Transponder tunability and waveband switching in reconfigurable optical networks

of Dissertation Transponder Tunability and Waveband Switching in Reconfigurable Optical Networks We investigate the blocking performance of all-optical reconfigurable networks with constraints on reconfiguration brought by Reconfigurable Optical Add/Drop Multiplexers (ROADMs) and tunable transponders. Considering a fully reconfigurable ROADM and limited tunable transponders at each ROADM port, we develop an analytical model to calculate call blocking probability in a network of arbitrary topology for two different models for transponder sharing within a node: Share-Per-Link and Share-Per-Node. In such a configuration, limited tunable transponders determine the set of wavelengths that can be added/dropped at a reconfigurable node. A lightpath can only be established if a transponder on both ends can tune to the same available wavelength along the route. We call this as wavelength termination constraint. The number of transponders (as many as ports) and the waveband size (the range of wavelengths over which a transponder is tunable) are the key parameters of the model assuming that wavebands are randomly assigned to transponders. We also present a heuristic algorithm for assigning wavebands to transponders at each node and modify the analytical model to approximate the performance of the algorithm. We present simulation results to validate our model and also show results for Share-Per-Link and Share-Per-Node models with various sets of parameters. We show that limited tunable transponders give the same performance with widely tunable transponders in terms of blocking. We also show that transponder wavelength/waveband assignment to limited tunable transponders is an important factor determining the blocking. We then show several algorithms for transponder wavelength/waveband assignment considering different kinds of traffic models (e.g., non-uniform traffic). With simulation results, we show that these algorithms improve the blocking performance of the network significantly. We then consider O-E-O conversions enabled in the network by the use of limited tunable transponders. Using two limited tunable transponders, first to drop a wavelength and then to add another wavelength at a node, a lightpath can be established on different wavelengths along its route. We call this technique multihopping. We develop several routing and wavelength assignment algorithms for fixed and alternate routing in order to find the nodes to do the
Dynamic Time Slice Round Robin Scheduling Algorithm with Unknown Burst Time

Background: If the processer knows in advance how much time each process takes then the best approach is shortest job first scheduling (SJFS). But knowing the burst time before hand is usual unrealistic. Round Robin scheduling algorithm (RR) is the most commonly used scheduling algorithm in an environment with time sharing among more than one process. RR algorithm is free from starvation, since all processes always get equal time quantum. But the selection of time quantum can influence the performance of the algorithm. If too short, an inordinate fraction of the time is spent in context switches. If too large, it behaves like first come first served (FCFS). We try to improve this aspect of the algorithm. Methods: We propose a variant of RR algorithm -Dynamic Time Slice Round Robin Scheduling Algorithm with Unknown Burst Time which could be used if the burst times of the processes are unknown at the beginning. This involves tuning the time quantum at run time.
The improvement of soil thermodynamics and its effects on land surface meteorology in the IPSL climate model

Abstract. This paper describes the implementation of an improved soil thermodynamics in the hydrological module of Earth system model (ESM) developed at the Institut Pierre Simon Laplace (IPSL) and its effects on land surface meteorology in the IPSL climate model. A common vertical discretization scheme for the soil moisture and for the soil temperature is adopted. In addition to the heat conduction process, the heat transported by liquid water into the soil is modeled. The thermal conductivity and the heat capacity are parameterized as a function of the soil moisture and the texture. Preliminary tests are performed in an idealized 1-D (one-dimensional) framework and the full model is then evaluated in the coupled land–atmospheric module of the IPSL ESM. A nudging approach is used in order to avoid the time-consuming long-term simulations required to account for the natural variability of the climate. Thanks to this nudging approach, the effects of the modified parameterizations can be modeled. The dependence of the soil thermal properties on moisture and texture lead to the most significant changes in the surface energy budget and in the surface temperature, with the strongest effects on the surface energy budget taking place over dry areas and during the night. This has important consequences on the mean surface temperature over dry areas and during the night and on its short-term variability. The parameterization of the soil thermal properties could therefore explain some of the temperature biases and part of the dispersion over dry areas in simulations of extreme events such as heat waves in state-of-the-art climate models.
Unified ILP formulation of protection in mesh networks

An unified formulation for planning of protection resources in mesh-networks as an integer linear program (ILP) is developed. Various protection schemes have been considered and the similarities among them are worked out. The objective is to minimize the required total capacity. The ILP formulation turns out to be especially useful for shared protection, whereas for dedicated protection simple exact algorithms do exist. Case studies for Pan-European networks of the COST action 266 have been performed and the results are presented.
Discrete-time hybrid modeling and verification

For hybrid systems described by interconnections of linear dynamical systems and logic devices, we recently (A. Bemporad et al., 2000, 2001) proposed mixed logical-dynamical (MLD) systems and the language HYSDEL (HYbrid System DEscription Language) as a modeling tool. For MLD models, we developed a reachability analysis algorithm which combines forward reach-set computation and feasibility analysis of trajectories by linear and mixed-integer linear programming. In this paper, the versatility of the overall analysis tool is illustrated in the verification of an automotive cruise control system for a car with a robotized manual gear shift.
A NEW APPROACH FOR RADIO RESOURCE MANAGEMENT IN MULTIMEDIA DYNAMIC SATELLITE NETWORKS

In this paper a new technique for radio resource management applicable to dynamic satellite networks for multimedia applications is presented. It uses a dynamic channel reservation policy to map the application specific requirements for accepting and maintaining a call. A new service classification scheme is proposed for the future wireless multimedia systems. According to this, the definition of each service class is based on a range of different performance criteria for the call blocking and call dropping rates. This approach can be used for future multi-beam dynamic satellite constellation networks. It is based on the assumption that the user terminal inter spot-beam handoff times can be accurately predicted by the network during the call set-up phase. The call admission controller takes into account the performance requirements of the established connections and the affect of accepting a new call on the same spot-beam as well as the handover attempts from the neighbouring spot-beams. A simulation model was developed in OPNET modeler and statistics for the call blocking and call dropping probabilities under various traffic conditions were recorded. Simulation results for a typical Medium Earth Orbit (MEO) and a Low Earth Orbit (LEO) constellation are presented and the performance of the new algorithm is discussed. It is shown that this new approach gives a great flexibility to dynamically map different service classes requirements into the network performance characteristics.
Application of Several Visual Analytic Approaches in Detecting Technology Front

It is of great significance for technology analysists, technology policy makers and RD the technology fields of Communications and Computing & Control, especially technology of Communications is the highlight of global aerospace field in 2009; the clusters are obvious in the three visual analytic maps drawn by applying three different visual analytic approaches; each of the visual analytic approach has its own advantages and disadvantages. It is still a macro-study of this paper, more concrete analysis on detecting technology front is expected to explore in the near future. Keywords-Technology Front; Visual Analytic Approaches; Social Network Analysis; Ucinet; CiteSpace; VOSviewer
Improving cross-document coreference

In this paper we present a cross document coreference system which resolves some of the more problematic cases by taking into account pieces of evidence coming from different sources. The corpus we work with is a seven-year news collection from a local newspaper. The approach does not assume any prior knowledge about persons (e.g. an ontology) mentioned in the collection and requires basic linguistic processing (named entity recognition) and resources (a dictionary of person names). The system parameters have been estimated on a 5K corpus of Italian news documents. The evaluation, over a sample of four days news documents, shows that the error rate of the system (1.4%) is above a baseline (5.4%) for the task.
Study on Mixing Property of Circulation/Shear Coupling Mechanism-Double Impeller Configuration

One of the approaches to achieve high-efficient size mixing is to set up a double impeller configuration using the axial flow impeller and the radial flow impeller as the functional elements. This paper studies power consumption property, mixing time property (θm), shearing performance and the property parameters of the axial impeller (AFI). In the paper, the result shows that: the power consumption rule of the double impeller mechanism of different impeller combinations follows the acting rule under the single impeller stirring mechanism. θm of “RFI+AFI” double impeller configuration is shortened along the increase of distance between the impellers; θm reflects different secondary flow circulation influence modes under the condition of different distances between the impellers along the change rule corresponding to the impeller’s discharge performance change. Under the “RFI+AFI” double impeller configuration, the distance change of impellers within the smaller range has small influence on θm; under the large impeller distance, θm has remarkable increase; the impeller’s discharge performance is enhanced; and the corresponding θm is shortened. “RFI+AFI” has relatively strong shearing effect under the smaller impeller distance; along the enlargement of distance between the impellers, its shearing performance is reduced. “RFI+AFI” suffers corresponding shearing qty in the groove under the condition of different impeller distances. The discharge performance of the radial flow impeller is a main factor influencing the shearing performance of the double impeller configuration. Through studying the mixing performance corresponding to the combination of impellers with different discharge performances, it lays foundation for designing a novel and high-efficient size mixing device.
Desenvolvimento de Software utilizando o Framework Scrum: um Estudo de Caso

Este artigo apresenta a aplicacao do Scrum no desenvolvimento de um sistema para informatizar os processos de gestao de estoque do Restaurante Universitario da UFSCar, que sao realizados manualmente, resultando na vulnerabilidade das informacoes. O framework Scrum possibilita a flexibilidade e execucao evolutiva do desenvolvimento do sistema de software, diminuindo o ciclo de producao e os impactos causados por alteracoes de requisitos. Sao relatadas as atividades e as adaptacoes empregadas para atender as implicacoes do ambiente de implementacao, bem como os desafios encontrados e os resultados obtidos, evidenciando a importância do conhecimento pratico sobre a abordagem utilizada.
An investigation of textural characteristics associated with spectral information for land use classification

The objective of this study was to investigate improvement of classification accuracy using synergism between textural features and spectral information. Satellite data used in this study are multispectral SPOT HRV, Landsat-TM, and JERS-1 SAR images. Spectral information applied for data compression, is standard principal component analysis, while speckle noise present at JERS-1 SAR image was reduced using wavelet transform. The first order statistic of variance and the second order texture statistic of entropy found in the literature were used. Several datasets were generated using spectral extraction, textural features, and their combination. Based on the maximum likelihood classifier, land use categories of the study area were discriminated. The result shows that combined use of spectral and texture information together significantly improved the accuracy of land use classification.
A 2-V 600-μA 1-GHz BiCMOS super-regenerative receiver for ISM applications

A 1-GHz receiver, integrated in a 0.8-/spl mu/m BiCMOS technology, consumes 1.2 mW at 2 V. Based on super-regeneration, it is dedicated to short-range data exchange up to 100 kbits/s. Sensitivity of -98 dBm is achieved for a selectivity of 100 kHz. The size of the chip is smaller than 1 mm/sup 2/.
Significance of Email Communication in Today's World

Email or Electronic mail is considered as one of the premier uses of Internet. It is a flexible and handy tool of communication via the electronic medium. Its most attractive features are: speed, portability and versatility. Email is a system of global communication in which the user can compose a message in his or her account and send it to person/s possessing email accounts. It is an exchange of information among online service provider users. The message sent can be regenerated at the receiver's email account within seconds. Over the years, a number of tools of electronic communication such as Facebook, Twitter, blogs etc. have emerged yet email has retained its charm and will continue to do so in the future. Due to its unique features and adaptability, it lends itself to a number of uses. The advancement of technology and the flooding of smart internet enabled phones, in present times, checking, sending and receiving emails is not only restricted to PC or laptops but it can be accessed on the cell-phones also making email communication accessible at all times. Email communication is used in almost all aspects of human interaction. It is used for formal as well as informal communication It is used for interaction in marketing, news, academics, broking etc. alongwith large number of other areas. The present paper focuses on the significance of email and its various uses.
IA-32 execution layer: a two-phase dynamic translator designed to support IA-32 applications on Itanium/spl reg/-based systems

IA-32 execution layer (IA-32 EL) is a new technology that executes IA-32 applications on Intel Itanium processor family systems. Currently, support for IA-32 applications on Itanium-based platforms is achieved using hardware circuitry on the Itanium processors. This capability will be enhanced with IA-32 EL - software that will ship with Itanium-based operating systems and will convert IA-32 instructions into Itanium instructions via dynamic translation. In this paper, we describe aspects of the IA-32 execution layer technology, including the general two-phase translation architecture and the usage of a single translator for multiple operating systems. The paper provides details of some of the technical challenges such as precise exception, emulation of FP, MMX, and Intel streaming SIMD extension instructions, and misalignment handling. Finally, the paper presents some performance results.
Hidden Markov models in biomedical signal processing

Hidden Markov Models (HMM) are statistical models used very successfully and effectively in speech processing. The model is however a general model for stochastic processes and may thus be applied to a large variety of biomedical signals. The paper provides an in depth tutorial on HMM and its applications to biomedical signal processing. Discrete Density (DD-HMM) and Continuous Density HMM (CD-HMM) are presented. The various algorithms required for training the model, for estimating the optimal state sequence and the observation probabilities are discussed. The HMMs have not been widely applied to biomedical signal processing. The paper reviews some of the applications, and discusses potential applications.
Comparison of post-filtering and filtering between iterations for SPECT reconstruction

Images obtained by iterative reconstruction of SPECT are known to become noisy and exhibit edge artifacts at high iteration numbers. In order to suppress these undesirable image distortions some method of regularization has to be applied. One of the frequently applied regularization methods is low-pass filtering of the reconstructed image. In this paper SPECT images which have been filtered after a complete iterative reconstruction (post-filtering) are compared to SPECT images which have been filtered between each iteration step of the reconstruction (in-between filtering). The comparison of post-filtering and in-between filtering is made for two different kind of filters, the Gaussian filter and an edge-preserving diffusion filter. In order to make a fair comparison, the specific filters are automatically selected by varying the filter parameters until the difference between a phantom and corresponding filtered SPECT image is minimized (optimal filtering). The resulting minimum of the difference is used as the standard to compare the performance of the filter processes. The difference between optimized post-filtering and optimized in-between Altering is found to be small. Smoothing between iterations with fixed kernels, commonly referred to as the EMS algorithm, gives less accurate results than optimized post-filtering or optimized in-between filtering.
OLAPing and Mining Big Data: Large-Scale, Long-Running, Serendipitous Computations within Next-Generation Clouds

OLAPing and Mining Big Data is among one of the most attracting research contexts of recent years. Essentially, this puts emphasis on how classical OLAPing and Mining algorithms can be extended in order to deal with novel features of Big Data, such as volume, variety and velocity. This novel challenge opens the door to a widespread number of challenging research problems that will generate both academic and industrial spin-offs in future years. Following this main trend, in this paper we provide a brief discussion on most relevant open problems and future directions on the fundamental issue of OLAPing and Mining Big Data.
An Overview of ELECTRE Methods and their Recent Extensions

We present main characteristics of ELECTRE (ELimination Et Choix Traduisant la REalite - ELimination and Choice Expressing the REality) family methods, designed for multiple criteria decision aiding. These methods use as a preference model an outranking relation on the set of actions—it is constructed in result of concordance and nondiscordance tests involving a specific input preference information. After a brief description of the constructivist conception in which the ELECTRE methods are inserted, we present the main features of these methods. We discuss such characteristic features as the possibility of taking into account positive and negative reasons in the modelling of preferences, without requiring commensurable performance scales; the use of discriminating thresholds for taking into account the imperfect knowledge of data; the absence of systematic compensation between ‘gains’ and ‘losses’. The main weaknesses are also presented. Then, some aspects related to new developments are outlined. These are related to some new methodological developments, new procedures, axiomatic analysis, software tools and several other aspects. This paper is an updated version of a chapter published by the authors under the title ‘ Electre Methods: Main Features and Recent Developments’ in C. Zopounidis and P. Pardalos (Editors): Handbook of Multicriteria Analysis, Springer, Berlin 2010, pp. 51–89. Copyright © 2012 John Wiley & Sons, Ltd.