Miracle-dz/UniFAR-FTUs huggingface dataset:
Spectrum detection of cognitive radio based on blind signal separation

Cognitive radio (CR) is viewed as a novel approach for improving the utilization of radio electromagnetic spectrum resource, and spectrum detection is an important step of CR. As the traditional methods are detecting every channel orderly, and it does not satisfy the real-time needs of CR, a detection algorithm based on blind signal separation is proposed in this paper. Through the sensors, the mixed observation signals are obtained, and they are decorrelated and denoised by signal whitening and wavelet denoising. All the primary signals in the detection channels with uncertain sequence are obtained at one time based on blind signal separation, and by making FFT of them, the signals' frequencies and channels' states could be easily estimated. Simulation shows our algorithm which is based on a real-time, could restructure the primary signals, and the estimation of channels' states is accurate.
Process-driven data and information quality management in the financial service sector

Highly regulated sectors face challenges on data and information quality management (DIQM) to conform to increasing regulations. With the financial service sector, as the most highly regulated industry, we are interested in current and future DIQM challenges. For a sustaining improvement, data quality should be managed process-driven. Process-driven data quality management (PDDQM) provides continuous improvement of data quality by redesigning processes that create or modify data. Therefore, business process management (BPM) is a basis for PDDQM. In an information systems’ context, enterprise resource planning (ERP) systems offer a platform for integrating processes and data. We examine market developments and IT trends by conducting semi-structured expert interviews with participants in IT-strategic decision making. We present current trends in the insurance sector and identify three main DIQM challenges: The IT-independent management of data, an increasing need to engage in PDDQM, and guiding existing and future measures by a data governance framework.
High frequency class switching of an lgM + B lymphoma clone CH 12 F 3 to lgA + cells

We have developed an efficient in vitro class switching system using a subclone (CH12F3) of the lgM CH12.LX lymphoma cell line. CH12F3 cells switched from surface lgM cells to surface lgA cells at a high frequency (-50%) after 72 h stimulation with IL-4, transforming growth factor (TGF)-(3 and CD40L. No other class isotype-producing cells were detected, indicating that the CH12F3 clone is exclusively committed to IgA isotype switching. To understand the molecular basis of the isotype commitment, we studied the methylation profiles of I region promoters and I region transcription of CH12F3 cells. No germline transcripts other than those from the la region were detected and only the la promoter was demethylated in uninduced CH12F3 cells. TGF-f3, CD40L and IL-4 synergistically induced efficient switch recombination in CH12F3 cells, suggesting that the three stimulations up-regulate different steps of switch recombination in isotype-committed B cells such as CH12F3 cells. Stimulation of CH12F3 cells by IL-4 or TGF-p, but not by CD40L, induced transient but complete methylation of the la region. TGF-p 1 and CD40L, but not IL-4, increased the amounts of germline a transcripts. We found that the extents of methylation and the amounts of germline transcripts do not necessarily correlate with the efficiency of recombination in induced CH12F3 cells. These results led to the proposal that switch recombination can be separated into at least two phases, i.e. commitment and recombination. The roles of IL-4, TGF-p* and CD40L in the two phases are discussed.
An Incremental Text Segmentation by Clustering Cohesion

This paper describes a new method, called IClustSeg, for linear text segmentation by topic using an incremental overlapped clustering algorithm. Incremental algorithms are able to process new objects as they are added to the collection and, according to the changes, to update the results using previous information. In our approach, we maintain a structure to get an incremental overlapped clustering. The results of the clustering algorithm, when processing a stream, are used any time text segmentation is required, using the clustering cohesion as the criteria for segmenting by topic. We compare our proposal against the best known methods, outperforming significantly these algorithms.
Design of Intelligent Mobile Human Recognition and Location Identification System Based On Arm7 and OpenCV

This paper presents the development of an intelligent portable human recognition and location identification system using ARM7 based microcontroller, OpenCV based machine and advanced communication technologies like GPS and GSM. With the development of video surveillance gradually from the traditional security surveillance to intelligent surveillance, we present a method, to process the image and matching the detected image or face to one of many the faces known to the file system, now this system generates a command to perform location identification using GPS and forward the necessary information about the identified person using GSM. The hardware system is developed and tested successfully.
Coexistence of Excitatory and Inhibitory GABA Synapses in the Cerebellar Interneuron Network

Functional GABA synapses are usually assumed to be inhibitory. However, we show here that inhibitory and excitatory GABA connections coexist in the cerebellar interneuron network. The reversal potential of GABAergic currents (EGABA) measured in interneurons is relatively depolarized and contrasts with the hyperpolarized value found in Purkinje cells (−58 and −85 mV respectively). This finding is not correlated to a specific developmental stage and is maintained in the adult animal.EGABA in interneurons is close to the mean membrane potential (−56.5 mV, as measured with a novel “equal firing potential” method), and both parameters vary enough among cells so that the driving force for GABA currents can be either inward or outward. Indeed, using noninvasive cell-attached recordings, we demonstrate inhibitory, excitatory, and sequential inhibitory and excitatory responses to interneuron stimulation [results obtained both in juvenile (postnatal days 12–14) and subadult (postnatal days 20–25) animals]. In hyperpolarized cells, single synaptic GABA currents can trigger spikes or trains of spikes, and subthreshold stimulations enhance the responsiveness to subsequent excitatory stimulation over at least 30 msec. We suggest that the coexistence of excitatory and inhibitory GABA synapses could either buffer the mean firing rate of the interneuron network or introduce different types of correlation between neighboring interneurons, or both.
Swedish pre-schoolers The role of extra-linguistic factors in receptive bilingualism : Evidence from Danish

Danish and Swedish are closely related languages that are generally mutually intelligible. Previous research has shown, however, that Danes comprehend more spoken Swedish than vice versa. It has been suggested that this asymmetry is caused by extra-linguistic factors such as literacy, contact with, and attitudes held towards the test language. However, also linguistic factors, such as suprasegmental features or differences in speech rate, could cause or increase an asymmetry. The aim of the experiment reported in this article was to exclude three extra-linguistic factors (attitude, contact and literacy) in order to determine their role in mutual intelligibility. Participants were 19 Danishand 26 Swedish-speaking illiterate preschoolers. Their task was to match 50 cognate nouns to corresponding pictures in a multiple-choice task. Results revealed that word-recognition scores in Danish children (63 percent) did not differ significantly from the Swedish scores (65 percent). That means that, in contrast to adult Danes, Danish children did not perform better on the word-recognition task than their Swedish peers. This finding suggests that extra-linguistic factors play an important role in intelligibility of a closely related language, and, as extra-linguistic factors develop, the intelligibility asymmetry develops.
An Experimental and Theoretical Investigation of the Electronic Structures and Photoelectrical Properties of Ethyl Red and Carminic Acid for DSSC Application

The photoelectrical properties of two dyes—ethyl red and carminic acid—as sensitizers of dye-sensitized solar cells were investigated in experiments herein described. In order to reveal the reason for the difference between the photoelectrical properties of the two dyes, the ground state and excited state properties of the dyes before and after adsorbed on TiO2 were calculated via density functional theory (DFT) and time-dependent DFT (TDDFT). The key parameters including the light harvesting efficiency (LHE), the driving force of electron injection (ΔGinject) and dye regeneration (ΔGregen), the total dipole moment (μnormal), the conduction band of edge of the semiconductor (ΔECB), and the excited state lifetime (τ) were investigated, which are closely related to the short-circuit current density (Jsc) and open circuit voltage (Voc). It was found that the experimental carminic acid has a larger Jsc and Voc, which are interpreted by a larger amount of dye adsorbed on a TiO2 photoanode and a larger ΔGregen, excited state lifetime (τ), μnormal, and ΔECB. At the same time, chemical reactivity parameters illustrate that the lower chemical hardness (h) and higher electron accepting power (ω+) of carminic acid have an influence on the short-circuit current density. Therefore, carminic acid shows excellent photoelectric conversion efficiency in comparison with ethyl red.
Mapeo espacio-temporal de la conectividad postsináptica en neuronas jóvenes del hipocampo adulto

Las celulas granulares en desarrollo en el giro dentado adulto (nCGs) atraviesan un periodo critico de exacerbada excitabilidad y plasticidad sinaptica antes de alcanzar la madurez. Se desconoce el impacto que estas nuevas unidades de procesamiento tienen en el circuito preexistente del giro dentado. En este trabajo combinamos la utilizacion de optogenetica, electrofisiologia en rodajas y quemogenetica in vivo para activar nCGs de diferentes edades y analizar el reclutamiento de sus redes postsinapticas. Observamos que nCGs inmaduras (4 semanas de edad) reclutan eficientemente blancos distales en el area CA3 pero fallan en activar interneuronas proximales responsables de la inhibicion feedback. A medida que atraviesan el proceso de maduracion, las nCGs comienzan a activar circuitos de retroalimentacion GABAergica controlando el disparo de CGs vecinas, un mecanismo que podria promover la codificacion dispersa de inputs. Dicho control inhibitorio impacta solo debilmente en poblaciones de nCGs jovenes. Simulaciones computacionales revelan que este retraso en el acoplamiento de las nCGs a los circuitos de retroalimentacion negativa podria tener un rol crucial con el objetivo de lograr una representacion dispersa de inputs nuevos en el giro dentado.
Kurio: a museum guide for families

We discuss three design strategies for improving the quality of social interaction and learning with interactive museum guides: 1) embodied interaction; 2) game-learning; 3) a hybrid system. We used these strategies in our prototype Kurio, which is aimed at supporting families visiting museums. The results of our evaluation show positive implications of implementing the design strategies: closing the social gap, naturalizing technology, and supporting exploration and discovery in learning.
A CPD-based AOA estimation algorithm with vandermonde-constrained preprocessing approach

This paper investigates a tensor-decomposition-based algorithm for the arrival angle estimation. With the assistance of multiple invariance modeling and uniqueness property of Canonical Polyadic Decomposition (CPD), the proposed method is capable of performing well even in worse conditions. Furthermore, by exploiting the feature of Vandermonde structure, a modified preprocessing step has been incorporated into this algorithm which can achieve a better performance than the standard CPD and classic subspace methods. Numerical experiments have demonstrated the feasibility and effectiveness of the proposed method.
Extension Features-Driven Use Case Model for requirement traceability

Requirement traceability has been repeatedly proven to be the key factor of software project management and software quality, and its researches have become an important part of software engineering. Use case has been widely applied in software requirement engineering and use case driven approach is one of the most important features in many software development processes. This paper extends the Feather-Driven Use Case Model which is the requirement traceability strategy outlined and recommended by the Rational Unified Process. Proposes a model named e-FDUCM, which use case is the core of requirement traceability. The traceability relationships among need, product feature, software requirement, use case, use case section, and artifacts of use case realization, test or maintenance phase are given in e-FEUCM. Traceability type and relationship is interpreted. Traceability matrix is defined as a tool of tracing. Finally, implementation of traceability strategy is illustrated.
Text based approaches for content-based image retrieval on large image collections

As the growth of digital image collections continues so does the need for efficient content based searching of images capable of providing quality results within a search time that is acceptable to users who have grown used text search engine performance. Some existing techniques, whilst being capable of providing relevant results to a user's query will not scale up to very large image collections, the order of which will be in the millions. In this paper we propose a technique that uses text based IR methods for indexing MPEG7 visual features (from the MPEG-7 XM) to perform rapid subset selection within large image collections. Our test collection consists of 750,000 images crawled from the SPIRIT collection (discussed in section 3) and a separate set of 1000 query images also from the SPIRIT collection. An initial experiment is presented to measure the accuracy of the subset generated for each query image by taking the top 100 results of the subset, and comparing those to the top 100 results derived from a complete ranking of the collection for that query image. Ranking is performed via L2 Minkowsky distance measures for both sets.
Design and Validation of a Physiologically-Adapted Bioreactor for Tissue Engineering of the Nucleus Pulposus

A novel multi-axial bioreactor was designed and developed to deliver combinations of the following dynamic mechanical stimulation conditions: hydrostatic pressure, pulsatile perfusion flow and uniaxial compression in order to mimic in vivo conditions. This mechanical arrangement simultaneously allows triaxial stimulation and characterization of mechanical properties of samples, in particular simulating the conditions experienced by the nucleus pulposus in vivo. A series of initial experiments were performed on this prototype system using consistent, commercially-available, three dimensional scaffolds in combination with human dermal fibroblasts. Our results show that while such bioreactors hold much promise in tissue engineering of desired organs, achieving the right combination of mechanical stimuli and other conditions required in order to enhance the final properties of the cell-scaffold systems is challenging.
ESPRIT method for multiple-target localization using MIMO array

A subspace-based method for multiple-target localization by multi-input multi-output (MIMO) array is presented in this paper. Because the covariance matrix of reflected signals from targets at different locations is always nonsingular as a result of mutual orthogonality among the signals transmitted by MIMO array, estimation of signal parameters via rotational invariance technique (ESPRIT) algorithm can be directly applied to the direction of arrival (DOA) estimation problem of the MIMO array without spatial smoothing (SS) techniques beforehand. Simulation results verify the effectiveness of the proposed method.
ENDMEMBER EXTRACTION FOR HYPERSPECTRAL IMAGES USING WATERSHED AND NORMALIZED CUTS

Abstract. Endmember extraction integrated with spatial information has been concerned on some research recently. In this paper we studies an improved endmember extraction method with spatial preprocessing module which use watershed with normalized cuts to avoid over- segmentation and produce accurate results from spectral mixture analysis. The spatial-spectral endmember extraction method which used the advantages of image segmentation generates the preliminary results and provides important knowledge for future research.
Comparative study of axopodial microtubule patterns and possible mechanisms of pattern control in the centrohelidian heliozoa Acanthocystis, Raphidiophrys and Heterophrys.

The axopodial microtubule pattern of 9 centrohelidians belonging to the genera Acanthocystis, Raphidiophrys and Heterophrys, as well as the fine structure of their microtubule organizing centre, the centroplast, was studied to determine the rules which govern their patterns. Microtubules capable of binding a xamimum of 4 linkers are arranged in regularly distorted hexagons and equilateral triangles. The number of microtubules present in each axoneme ranges from some 140 in Acanthocystis turfacea to as few as 6 in Heterophrys marina (Stock I). In the later species each axoneme contains a single hexagon of microtubules only. In other Heterophrys species, the central hexagon is surrounded by closely packed microtubules or by microtubules arranged in pentagons; only the central hexagon is anchored in the centroplast shell, whereas additional microtubules seem to originate from secondary nucleation sites somewhat distal to the centroplast. It is argued that the distortion of the basic unit hexagon (with alternate angles close to 134 degrees and 106 degrees) indicates that the microtubules are composed of 13 protofilaments. While in the larger Acanthocystis and Raphidiophrys species, the pattern may result from self-linkage, the arrays found in the Heterophrys species seem to favour a template-determined linkage. To explain the formation of the central hexagon in Heterophrys and balanced lateral growth in the larger microtubule arrays, a 'linker-nucleation hypothesis' is proposed. The assumption is made that graded conformational changes in the microtubule subunits not only specify the position where the next linker will bind, but that this linker, through linkage, becomes able to induce secondary microtubule nucleation, which will result in balanced lateral growth of the array. The application of this hypothesis to other microtubule systems, e.g. basal body formation, is discussed.
Kronos: a scalable group re-keying approach for secure multicast

The authors describe a novel approach to scalable group re-keying for secure multicast. Our approach, which we call Kronos, is based upon the idea of periodic group re-keying. We first motivate our approach by showing that if a group is re-keyed on each membership change, as the size of the group increases and/or the rate at which members leave and join the group increases, the frequency of rekeying becomes the primary bottle neck for scalable group re-keying. In contrast, Kronos can scale to handle large and dynamic groups because the frequency of re-keying is independent of the size and membership dynamics of the group. Next, we describe how Kronos can be used in conjunction with distributed key management frameworks such as IGKMP (T. Hardjono et al., 1998) that use a single group-wide session key for encrypting communications between members of the group. Using a detailed simulation, we compare the performance tradeoffs between Kronos and other key management protocols.
FIRST RESULTS USING ROBUST CONTROLLERSYNTHESIS IN AUTOMATIC GUIDED

We have been interested in Automatic Guided Vehicles (AGV) for several years. In this paper, we synthesize controllers for AGV applications. Particularly, we are interested in road following and direction change tasks, and in analyzing the innuence of roll and pitch perturbations on vehicle behaviour. We use the bicycle as the kinematic vehicle model, and we choose the white band position of the road as the sensor signal. We deene an interaction between the camera, which is mounted inside the vehicle, and the white band detected in the image space. Using this kind of interaction, we present how to use a pole assignment technique to solve the servoing task. We show the simulation and experimental results (1/10 scale demonstrator) with and without perturbations. Then, we investigate in robust controller to slow down the eeect of perturbations on the vehicle behaviour.
Nonlinear classification of EEG data for seizure detection

We address the problem of classification of EEG recordings for the detection of epileptic seizures. We assume that the EEG measurements can be described by a low dimensional manifold. The geometry of the manifold is typically nonlinear and can be recovered with the Laplacian eigenmaps method. Our experiments demonstrate that the manifold can reveal the intrinsic structure of the data and that baseline and ictal states are well separated. We use a kernel ridge regression to identify the boundary between ictal and baseline states. We have performed a quantitative evaluation of our new approach using an acute rat model of epilepsy. Our experiments show that our approach outperforms PCA combined with a kernel ridge classifier
The influences of information literacy, internet addiction and parenting styles on internet risks

The purpose of this study is to examine how demographics, addiction symptoms, information literacy, parenting styles and internet activities can predict ‘internet risks’. Data were gathered from a probability sample of 718 adolescents and teenagers, aged 9–19 in Hong Kong, using face-to-face interviews. Results show that adolescents who are often targets of harassment tend to be older boys with a high family income. They are targets probably because they spend a lot of time on social networking sites (SNSs) and prefer the online setting. Adolescents who encounter a lot of unwelcome solicitation of personal or private information online tend to be older girls. In information literacy, they are generally very competent with publishing tools but are not structurally literate, especially in understanding how information is socially situated and produced. Implications and recommendations for future research are discussed.
Analysis and Design of Compact and Wide-Passband Planar Crossovers

Compact planar crossovers with a wide passband are proposed. By cascoding two quarter-wavelength branch-line couplers, a wide passband can be obtained. Moreover, the even-odd mode and the fourfold symmetry are adopted to derive the analytical equations. According to the derived formulas, the transmission lines' impedances Z<sub>1</sub>, Z<sub>2</sub>, and Z<sub>A</sub>, which may influence the performance of the operating fractional bandwidth (FBW), should be properly selected. In terms of experimental verification, the circuit size of the fabricated crossover is 0. 23λ<sub>g</sub> × 0. 23λ<sub>g</sub>. Moreover, the FBW of the developed crossover is the 59% 1-dB insertion-loss relative bandwidth corresponds to the S<sub>31</sub> parameter, whereas the 55% 15-dB one refers to the S<sub>21</sub> parameter. In addition, four bandstop filters can be added at four ports of the proposed crossover to achieve a wide stopband performance.