Miracle-dz/UniFAR-FTUs huggingface dataset:
Discrimination of different sources of signals in permanent scatterers technique by means of independent component analysis

The analysis of multi-temporal SAR data-sets encountered large interest in the remote sensing community during the past few years.The main effort goes toward the extraction of ground displacements signals by means of differential interferometric techniques.In this opera- tional framework an important processing step concerns the estimation and subtraction of signals due to atmospheric artifacts and processing errors.In the present work we apply the technique of Blind Source Separation (BSS) by using the algorithm of Independent Component Analysis (ICA) to Permanent Scatterer processing in order to perform the separation of different signal components.Preliminary investigations are carried out both on simulated and real ERS-1/2 data and results are reported and commented. I. INTRODUCTION The permanent scatterers (PS) technique (1) allows the analysis of the phase information over single objects and thus typically on man-made structures, characterized by a high temporal phase stability. Where such object are present, even when surrounded by low-coherence condi- tions, a non-conventional spatio-temporal phase analysis can be performed, together with an accurate atmospheric phase screen estimation and removal. This new technique, although very promising as an operational tool for the analysis of long series of SAR images, represents still a challenge in termsof computational burden and exhibits modelling aspects not yet fully understood. The main problemsencountered when dealing with data on moun- tainous, un-urbanised areas involve the steep topography causing considerable DEM errors (∆h(x, y)), increased atmospheric effects compared to flat areas, and increased geometric distortions; also, the scarcity of man-made structures lowers considerably the number of detectable stable points, further complicating the processing (5). Many as pectsof the complicationsintroduced in the
Towards event detection in an audio-based sensor network

In this paper, we describe an experiment where we gathered audio information from a series of conventional wired microphones installed in a typical university setting. We also obtained visual information from cameras located in the same area. We set out to see if audio analysis could be used to assist our existing visual event detection system, and to note any improvements. We were not concerned with identifying or classifying what was detected in the audio. Our aim was to keep audio processing to a minimum, as this would enable wireless sensor networks to be used in the future. We present the results of analysis of audio information based on the mean of the volume, the zero-crossing rate, and the frequency. We found that detecting events based on their volume returned satisfactory results.
Functionality in Analogical Transfer: A Hard Match is Good to Find

This article is concerned with the study of analogy and memory as viewed from the perspectives of both artificial intelligence (AI) and psychology. Its aim is to combine what seem to be two distinct and conflicting approaches to memory–the functional approach of AI and the empirical approach of psychology–and propose a unified view that does not compromise the nature of either field yet resolves the existing conflicts between them. To do this we propose a shift away from the narrow view of analogical reminding as an isolated memory behavior and toward a more general view of memory as a process that serves the needs of planning, problem solving, and understanding. This shift involves changes to both the functional arguments that have arisen in AI and a reexamination of the empirical evidence that has been presented in psychology.
3.3.2 Formalisation of an order processing soft systems model using Petri nets

Soft systems methodologies are known for investigating the problems occurring in the management of organisations using conceptual models. These models are informal and thus they are easily used and understood by a non‐specialist. However, such models cannot be subjected to formal analysis, and problems can occur in verifying their correctness. This paper addresses this issue by combining Petri net theory with the conceptual models of a methodology known as the Boardman Soft Systems Methodology (BSSM). Specifically, a systematic approach is presented that allows the systemigrams of the BSSM to be translated into Petri net models. This translation allows a systemigram to be checked for the integrity of its data, and Petri net theory can be used to analyse the resulting Petri net models. It is the intention that this type of analysis would be used by a target audience to verify and validate the systemigram models. Application of this approach is illustrated by an industrial case study that involves the Order Intake phase of a product's life cycle.
Effect of Soy Isoflavones on the Serum Lipid Profile and Vascular Function

Soybeans are unique among the legumes because they are a concentrated source of isoflavones. A number of components of soy have been studied to investigate their potential effect on CVD. Soy proteins have been shown to lower LDL-cholesterol and to have neutral or slightly positive effect on HDL-cholesterol. However, to what extend actually is the role of the isoflavone in this action remained contradictive. This review describes the characteristics and the nature of the soy isoflavones as well as covering the results from several studies to determine the effect of soy isoflavones on the serum lipid and vascular functions.
The Study of Improved FP-Growth Algorithm in MapReduce

As FP-Growth algorithm generates a great deal of conditional pattern bases and conditional pattern trees, leading to low efficiency, propose an improved FP-Growth(IFP) algorithm which firstly combine the same patterns based on the situation whether the support of the transaction is greater than the minimum support(min_sup) to mine the frequent patterns. Thus the IFP cuts down on the space and improves the efficiency. It also makes it easy to be paralleled. Further more, combine the IFP algorithm with the MapReduce computing model, named MR-IFP(MapReduce-Improved FP), to improve the capability to deal with the mass data.
SDL design of MPLS routing protocol in the private network

Nowadays multi-protocol label switching (MPLS) technology has achieved great popularity in the world. Because MPLS adopts the scheme of “route once and switch many”, routing is the key element to ensure packets are transmitted to destinations. Though there are many designs of MPLS routing protocol for public networks, they can hardly fit the private network very well for its special characteristics. This paper presents the design of MPLS routing protocol in the private network using the specification and description language (SDL), which is an object-oriented formal language and mainly used in communications area. In our design the whole autonomous system (AS) is regarded as a single area to reduce the number of protocol packets. The SDL module of MPLS routing protocol consists of four kinds of processes, namely Management, Checking, NeigSession and LSADbase. Simulations of the SDL design are run in many scenarios, the results of which indicate that the SDL module is manageable and the overall performance is satisfying. From our design and simulation experience, we find that the software development cycle can be drastically reduced by the use of SDL, and the code is easy to maintain and reuse.
Column-aware Polarization Scheme for High-Speed Database Systems

Recently, column-oriented storage has become a progressive model for high-speed database systems because of its superior I/O performance. In this paper, we analysis traditional raw-oriented storage model and then propose a new column-aware storage management model using flash memory drive and assist drive to improve the effective performance of the high-speed column-oriented database system. Our storage management scheme called column-aware polarization improves the performance of update operation by dividing and compressing table columns into active-columns or inactive-columns, and balancing congested update operations using a assist drive in high workload periods. The results obtained from experimental tests show that our scheme improves the update throughput of column-oriented storage by 19 percent, and the response time by up to 49 percent. ☞ keyword : 컬럼-지향 저장(Column-oriented Storage), 컬럼-압축(Column-Compression), 고속플래시메모리(High-Speed Flash Memory), 대용량저장소(Large-Volume Storage)
Privacy Preserving using Slicing Technique

Privacy Preserving on microdata publishing different anonymization techniques named as generalization and bucketization have been proposed. In generalization amount of information loses on high-dimensional data. Bucketization does not prevent membership disclosure and does not provide a clear separation between quasi-identifying attributes and sensitive attributes. In this Paper, we present a new technique called slicing which partitions the data both horizontally and vertically. Slicing preserves better data utility than generalization and can be used for membership disclosure protection. Another important advantage of slicing is that it can handle high-dimensional data. Slicing can be used for attribute disclosure protection and develop an efficient algorithm for computing the sliced data that obey the l-diversity requirement. Not only providing privacy for micro data, mining the micro data also important. This system uses clusters identified in multiple time periods and identifies trends based on similarities between clusters over time. Our experiments shows that slicing gives a better and effective utility better than the existing one.
Deconvolution of fluorescence decays and estimation errors

The non-iterative Prony's method is discussed for the deconvolution of multi-exponential fluorescence decays. The performance of these algorithms in the case of a two- exponential decay process is evaluated, using a Monte-Carlo simulation, in terms of the estimation errors caused by the signal noise. The results which are presented show that the performance of Prony's method can be greatly improved with the selection of an optimized observation window width and a few algorithm-related parameters. Comparison between Prony's method and the Marquardt least-squared-error algorithm is also made, showing the performance of the former is close to that of the latter with a 98% reduction in calculation running time. The applications of Prony's algorithms in real-time, quasi-distributed temperature sensor systems are discussed and the experimental results are presented to justify the use of the algorithms in Prony's method in practical double exponential fluorescence decay analysis.
Analysis on Effective Walking Pattern for Multi-Legged Robots

A proper walking pattern is to be assigned for a walk of multi-legged robots. For the purpose of identifying a good walking pattern for multi-legged robots, this paper consider a simple model of quadruped robotic walking and analyze its walking balance based on the centroid of foot polygons formed in every step. A performance index to estimate the walking balance is also proposed. Simulation studies show that the centroid trajectory of foot polygons and the walking balance in a common quadruped walking are different according to the walking pattern employed. Based on the walking balance index and a bio-mimetic aspect, a useful walking pattern for quadruped robots is finally addressed.
Clustering for Semantic Purposes: Exploration of Semantic Similarity in a Technical Corpus

This paper presents an innovative approach, within the framework of distributional semantics, for the exploration of semantic similarity in a technical corpus. In complement to a previous quantitative semantic analysis conducted in the same domain of machining terminology, this paper sets out to discover fine-grained semantic distinctions in an attempt to explore the semantic heterogeneity of a number of technical items. Multidimensional scaling analysis (MDS) was carried out in order to cluster first-order co-occurrences of a technical node with respect to shared second-order and third-order co-occurrences. By taking into account the association values between relevant first and second-order co-occurrences, semantic similarities and dissimilarities between first-order co-occurrences could be determined, as well as proximities and distances on a graph. In our discussion of the methodology and results of statistical clustering techniques for semantic purposes, we pay special attention to the linguistic and terminological interpretation.
The hierarchical structure of time and meter

This article considers the interrelationships of hierarchy, time, and meter in music. Music is an art form that organizes time and reflects different attributes of time. A unique point in the flow of time is "the present. " In physical terms, the present is a point in time; in practical terms, however, the present is understood to have a certain span, the extent of which varies depending on the context in which the present is placed (Mach 1906; Husserl 1928; Fraisse 1963, 1982). Similarly, in music, the present has a time-span. For example, the present could mean the note A, the first subject, or the development, etc., depending on the context in which the music belongs. If a random point in time happens to be in the development section, the section began before that point and is likely to continue after it. Basically, the selection of a musical present is also attributable to the character of a piece of music (a musical style). However, the selection is not the sole choice for a piece. The interpretation of a piece of music varies, depending on the time-span that is adopted as the present. There are a number of possible time-spans for a musical present. This fact is inseparable from the hierarchy that is latent as a structural element in music. Specifically, that different time-spans can be adopted as the present indicates the existence of hierarchical levels in music, from higher strata (longer units) to lower strata (shorter units). In other words, the ability to select a musical present in a number of time-spans is a positive indication of the hierarchical structure of music.
Aids unlimited: the scope for machine aids in a large organization

This paper examines the types of machine aid which are suitable for use in a large translating operation such as those met in the European Community institutions. After reviewing the way in which these machine aids are already being used in large organizations, and examining the areas in which they can be of benefit to the running of the whole organization, the speaker warns of possible difficulties in introducing them. If these difficulties can be overcome, many advantages can be gained in a large organization by introducing a fully‐integrated word‐processing system in which all texts are stored in electronic archives and can be transmitted electronically from one work station to another, and from one country to another. The principles on which such a system could be developed can also be of immediate practical interest to the small user.
Microstrip Lowpass Filter with Very SharpTransition Band Using T‐Shaped, Patch, and Stepped Impedance Resonators

A compact microstrip lowpass filter (LPF) with an elliptic function response is proposed. A high equivalent capacitance and inductance between the structures of the resonator result in the sharp transition band of 0.04 GHz from 4 GHz to 4.04 GHz with an attenuation level of −3 dB and −20 dB, respectively. To improve the LPF rejection band, multiple open stubs are connected to the proposed resonator. A filter with a 3‐dB cut‐off frequency at 4 GHz is designed, fabricated, and measured, and agreement between the measured and simulated results is achieved. The results show that a stopband bandwidth of 131% with a suppression level better than −20 dB is obtained while achieving a compact size with a wide stopband.
AN EMPIRICAL ASSESSMENT OF COMPUTER‐ASSISTED DECISION ANALYSIS*

Decision analysis tools often are used in semistructured and ill-structured situations. While some researchers have argued that computerized decision analysis programs may improve decision quality in such situations, research support for this assertion is weak. In this laboratory study, business students used a computerized decision-analysis program with short strategic-management cases to prepare decision reports. Independent raters' perceptions of aided and unaided decision performance were contrasted, attitudes of students toward the program were assessed, individual differences were correlated with attitudes, and the program's impact on students' perceptions of their decision processes and performance was examined. Student attitudes toward the computerized aid were favorable, and individual differences in reactions generally were as predicted. However, the program did not improve the independent ratings of students' decision reports and recommendations. These findings suggest that computerized decision aids should be adopted cautiously. If such aids result in positive user affect and heightened decision confidence without corresponding improvements in decision quality, they may be dysfunctional. Rigorous research methodologies which incorporate independent evaluations of analyses and decisions are recommended for use in future research on computerized decision-analysis programs.
Compétition entre villes pour l’Olympe. L’absence de différenciation territoriale

Via des sites Internet, les villes francaises font la promotion de leur mobilisation pour la selection nationale a la candidature des JO d’hiver 2018. Presentation du territoire, description et construction d’arguments composent ces sites qui sont des outils aux objectifs flous. Organises pour convaincre les selectionneurs de la motivation de la capacite d’accueil, chaque ville essaie de montrer des elements differenciateurs qui sont finalement plutot banals. Dans une lecture marketing, outre les amenites naturelles des villes candidates, la difficulte de differenciation s’explique notamment par la prise en compte incontournable de la population locale, veritable cible de ce vecteur d’information. Au final, Nice semble montrer plus d’audace tandis que Grenoble temoigne du minimum d’implication locale. Annecy, de son cote, joue sur sa dimension naturelle et donc moins metropolitaine que ses concurrentes.
Study on Constants of Natural Language Texts

本稿では，文書量に不変な定数を考える．このような定数には，言語や文書の複雑さや冗長性を定量化して捉える計算言語学上の意義がある．これらの指標は既存研究でさまざまなものが提案されてきたが，ほとんどの場合英語を中心とする小規模な文書を対象としてきた．本研究では英語以外のさまざまな言語や，大規模な文書も対象として扱い，主に先行研究において値が文長に依らないとされる 3 つの指標 K, Z, VM と本研究で新たに試みた指標である H と r の 5 つの指標に対し，値が一定となるかどうかの実験を行った．結果，値が言語の種類や文長に依らずに一定となる指標は K と VM の 2 つの指標であった．なおかつこの 2 つの指標の値には自然言語とプログラミング言語の間で有意な差が見られ，言語の複雑さや冗長性をある観点で表した指標となっていると考えることができる．
Ascertaining the Factors Influencing Students' Performance for Engineering Pedagogy

The education domain offers ground for many interesting and challenging data mining applications like astronomy, chemistry, engineering, climate studies, geology, oceanography, ecology, physics, biology, health sciences and computer science. We study the application of data mining to educational data collected from Guru Nanak Institutions, Hyderbad, India. We applied very distinctive techniques like association rule and classification algorithms. This work presents an approach for classifying students in order to predict their final grade based on features extracted from student's data in an educational system. This application can help both educators and students, and improve their quality of work. Finally, we analyze the distribution of information across students, and identify factors that predict the number of successful (pass) students.
Concurrent MRI and Diffuse Correlation & Near-Infrared Spectroscopic Measurement of Cerebral Hemodynamic Response to Hypercapnia and Hyperoxia

We study effects of hypercapnia and hyperoxia in cerebral hemodynamics of adults using concurrent ASL/BOLD-MRI, diffuse-correlation-(DCS) and near-infrared-spectroscopies (NIRS). We validate ASL vs DCS, compare BOLD to NIRS and compare-estimates of CMRO2by two methods.
Analysis of the Data Mining Application Based on Cloud Computing

Cloud computing as a new network technology has been widely used in various fields, a important role of cloud computing is the storage and management for massive information data, therefore the cloud computing provides a good platform for data mining. This paper first describes simply on cloud computing, and then expounds and analyzes data mining application which based on cloud computing, finally introduces the data mining application based on cloud computing platform.
New matching methods for dissimilar handwritten character images

New approaches to the problem of matching method for dissimilar handwritten character images are presented in this paper. One of them is for the offline recognition of dissimilar two-stroke digits which are difficult to discriminate. Several measures are taken to obtain proper division and description of the two strokes to further discrimination. In the recognition stage we combined syntactic analysis with statistical calculation. The other approach is for verifying offline handwritten Chinese signatures. Local connection properties are fully employed and the weighted distances are calculated on the whole signature image. Experiments results show that using the proposed matching methods increased the recognition rate and improved the reliability of our OCR system and is also helpful for verification of handwritten Chinese signatures.
GPU-based iterative reconstruction with total variation minimization for micro-CT

Dynamic imaging with micro-CT often produces poorly-distributed sets of projections, and reconstructions of this data with filtered backprojection algorithms (FBP) may be affected by artifacts. Iterative reconstruction algorithms and total variation (TV) denoising are promising alternatives to FBP, but may require running times that are frustratingly long. This obstacle can be overcome by implementing reconstruction algorithms on graphics processing units (GPU). This paper presents an implementation of a family of iterative reconstruction algorithms with TV denoising on a GPU, and a series of tests to optimize and compare the ability of different algorithms to reduce artifacts. The mathematical and computational details of the implementation are explored. The performance, measured by the accuracy of the reconstruction versus the running time, is assessed in simulations with a virtual phantom and in an in vivo scan of a mouse. We conclude that the simultaneous algebraic reconstruction technique with TV minimization (SART-TV) is a time-effective reconstruction algorithm for producing reconstructions with fewer artifacts than FBP.
SMS: EXPLOITING THE INTERACTIONAL CHARACTERISTICS OF NEAR-SYNCHRONY

This paper argues that near-synchrony creates interactional advantages for SMS and that these help to explain the popularity of the medium. The research included 32 interviews with adult mobile phone users, 24-hour communication diaries, and an analysis of respondents' text messages. Many of the text messages collected were short, phatic messages. These distinctive messages exploit the near-synchrony and brevity of SMS. Text messages combine low-contact threshold with immediate direct personal contact; consequently users can send ‘thinking of you’ messages, creating social connection with negligible effort and disruption. The near-synchrony of SMS also enables a distinctive form of conversation. In SMS conversation, the brevity of messages often creates ambiguity, but asynchrony limits scope for collaborative interpretation, making it harder to clarify meaning. However, instead of treating this as a problem for repair, users sometimes deliberately exploit this, using SMS as an equivocal, open-ended form of communication. The paper ends with a discussion of near-synchrony, contrasting SMS, email and instant messaging, and arguing that the temporal affordances of media are socially shaped and not technologically determined.