Miracle-dz/UniFAR-FTUs huggingface dataset:
Indoor localization using a magnetic flux density map of a building

The need for indoor localization has become increasingly important in recent years for a number of applications. Magnetic flux density fluctuations, caused by reinforced concrete or metal objects, are common in indoor environments. Originally, these fluctuations were considered to be harmful for localization because they can cause electromagnetic interference in sensitive sensors like a compass. However, in many papers it is suggested that these interference patterns can be mapped and used to achieve indoor localization. During this research, tests were performed to determine how feasible geomagnetic indoor localization is for a handheld smartphone device. Pattern matching, a technique often used by radio-frequency based localization technologies, will be used to determine the position of such a device. Advantages of this technology are discussed and possible obstacles are exposed.
Toward Assessing Data Quality of Ontology Matching on the Web

Nowadays the semantic Web is a leading Web technology, which enables semantic interoperability between structurally and semantically heterogeneous web sources and web users. Ontologies are a key of semantic interoperability and the main vehicle of the development of the semantic Web. One of the most challenging and important tasks of ontology engineering is integration of ontologies because with the purpose to built a common ontology for all Web sources and consumers in a domain. The present paper describes an approach of assessing data quality of ontology matching that allows evaluating correctness of mapping concepts and relationships from one ontological fragment to another. The purpose of correct mapping is to find identical and synonymous concepts and relationships in ontologies facilitating their integration to a common ontology, which serves as a base for attaining interoperability.
Excess anterior mitral leaflet in a patient with hypertrophic obstructive cardiomyopathy and systolic anterior motion.

A 61-year-old male patient was referred to us for a heart murmur and worsening exercise tolerance. He had a history of diabetes mellitus, which was controlled with oral medication. On admission, an ECG showed a sinus nodal rhythm with a complete right bundle-branch block. Transthoracic echocardiography revealed that the peak pressure gradient across the left ventricular outflow tract was 80 mm Hg. The ventricular septum was asymmetrically hypertrophied, and its thickness was ≈26 mm. Furthermore, moderate-to-severe mitral valve regurgitation with systolic anterior movement of anterior leaflet was observed. Transesophageal echocardiography showed systolic anterior motion of the anterior leaflet with moderate-to-severe mitral valve regurgitation. There was a discrepancy between the anterior leaflet and posterior leaflet owing to the elongation of the anterior leaflet (Figure 1A and 1B, Movie I in the online-only Data Supplement). In a short-axis view, there was excess tissue at the edge of the anterior mitral leaflet (Figure 1C and 1D, Movies II and III online-only Data Supplement). There was no finding of an anterior displacement of the papillary muscles. Coronary angiography showed significant stenosis at the right coronary artery and left circumflex …
A Novel Use of Biomarkers in the Modeling of Cancer Activity Based on the Theory of Endobiogeny

Introduction: Cancer is a complex disorder whose detection and monitoring remains challenging. A biological modeling system, the biology of functions (BoF), claims to be able to evaluate physiologic elements related to carcinogenic activity. A pilot study was undertaken to evaluate the accuracy of the BoF in detecting differences between cancer cases and matched controls. Materials and Methods: A retrospective case control study was performed using the BoF analyses of 46 patients with all types of solid and hematgenous cancers, active and inactive (total cases), and 46 controls from a private practice. The standard BoF panel of 17 biomarkers was evaluated. Sixty-two of 150 BoF indices derived from these biomarkers were pre-selected for analysis based on their relationship to cancer physiology. The data was analyzed with the Wilcoxon Signed Ranks Test using SPSS software. Results: Of the 62 indices, 7 were found to be statistically significant in comparing total cancer cases to controls: βMSH/αMSH, Estrogen Fraction #5, Comparative Genital Androgeny, Thyroid, Genito-thyroid, Catabolism/Anabolism and Pro-inflammatory. Conclusions: In a small retrospective case control study, statistically significant differences were found between cancer cases and controls in 7 BoF indices. These indices are indicators of physiological conditions consistent with cancer growth. These results warrant further study of this biological modeling system in cancer patients.
Parameter dependences of convection-driven dynamos in rotating spherical fluid shells

For the understanding of planetary and stellar dynamos, an overview of the major parameter dependences of convection driven dynamos in rotating spherical fluid shells is desirable. Although the computationally accessible parameter space is limited, earlier work is extended with emphasis on higher Prandtl numbers and uniform heat flux condition at the outer boundary. The transition from dynamos dominated by non-axisymmetric components of the magnetic field to those dominated by the axisymmetric components depends on the magnetic Prandtl number as well as on the ordinary Prandtl number for higher values of the rotation parameter τ. The dependence of the transition on the latter parameter is also discussed. A variety of oscillating dynamos is presented and interpreted in terms of dynamo waves, standing oscillation or modified relaxation oscillations.
Sensor Network for the Monitoring of Ecosystem: Bird Species Recognition

In this paper, we investigated the performance of bird species recognition using neural networks with different preprocessing methods and different sets of features. Context neural network architecture was designed to embed the dynamic nature of bird songs into inputs. We devised a noise reduction algorithm and effectively applied it to enhance bird species recognition. The performance of the context neural network architecture was comparatively evaluated with linear/mel frequency cepstral coefficients and promising experimental results were achieved.
Image Corruption Detection in Diffusion Tensor Imaging for Post-Processing and Real-Time Monitoring

Due to the high sensitivity of diffusion tensor imaging (DTI) to physiological motion, clinical DTI scans often suffer a significant amount of artifacts. Tensor-fitting-based, post-processing outlier rejection is often used to reduce the influence of motion artifacts. Although it is an effective approach, when there are multiple corrupted data, this method may no longer correctly identify and reject the corrupted data. In this paper, we introduce a new criterion called “corrected Inter-Slice Intensity Discontinuity” (cISID) to detect motion-induced artifacts. We compared the performance of algorithms using cISID and other existing methods with regard to artifact detection. The experimental results show that the integration of cISID into fitting-based methods significantly improves the retrospective detection performance at post-processing analysis. The performance of the cISID criterion, if used alone, was inferior to the fitting-based methods, but cISID could effectively identify severely corrupted images with a rapid calculation time. In the second part of this paper, an outlier rejection scheme was implemented on a scanner for real-time monitoring of image quality and reacquisition of the corrupted data. The real-time monitoring, based on cISID and followed by post-processing, fitting-based outlier rejection, could provide a robust environment for routine DTI studies.
Resource and Bandwidth Allocation on a Computational Grid with Tree Topology

Grid computing systems (machines) pool together the resources of a heterogeneous collection of computing systems that are widely distributed, possibly around the globe, to create a virtual computing organization. Users can "draw" resources either from local or from remote computing resources to execute their jobs. We only consider such a system in tree networks, and study a basic allocation problem: given a set of jobs, each demanding bandwidth and a set of cumulative computing resources and yielding profits corresponding to different machines, determine which feasible subset of jobs yields the maximum total profit
POLARIMETRIC CHARACTERISTICS OF FULLY POLARIZATION SAR IMAGE OBSERVED BY GROUND-BASED SAR SYSTEM

Ground-Based SAR system that obtains a high resolution 2D image on the ground is a new type of SAR system such as air-borne and space-borne SAR. The measured fully polarimetric SAR images with HH, HV, VH, and VV were focused using the Deramp-FFT (DF) algorithm in terms of their image formation principles. SAR polarimetry technique is concerned with control of the polarimetric properties of radar waves and the extraction of target properties from the behaviour of scattered waves from a target. In this study, we processed the polarimetric SAR data obtained by the GB-SAR system to investigate the polarimetric characteristics of terrain targets such as trees, grass and several permanent scatterers located in the test site. The polarimetric classification images using H/A/Alpha polarimetric decomposition and Wishart algorithms were extracted and discussed for deriving a scattering property according to different target types.
SYMMETRY AND THE KARHUNEN–LOÈVE ANALYSIS

The Karhunen–Loève (K–L) analysis is widely used to generate low-dimensional dynamical systems, which have the same low-dimensional attractors as some large-scale simulations of PDEs. If the PDE is symmetric with respect to a symmetry group G, the dynamical system has to be equivariant under G to capture the full phase space. It is shown that symmetrizing the K–L eigenmodes instead of symmetrizing the data leads to considerable computational savings if the K-L analysis is done in the snapshot method. The feasibility of the approach is demonstrated with an analysis of Kolmogorov flow.
Automated Real-Time Detection of Potentially Suspicious Behavior in Public Transport Areas

Detection of suspicious activities in public transport areas using video surveillance has attracted an increasing level of attention. In general, automated offline video processing systems have been used for post-event analysis, such as forensics and riot investigations. However, very little has been achieved regarding real-time event recognition. In this paper, we introduce a framework that processes raw video data received from a fixed color camera installed at a particular location, which makes real-time inferences about the observed activities. First, the proposed framework obtains 3-D object-level information by detecting and tracking people and luggage in the scene using a real-time blob matching technique. Based on the temporal properties of these blobs, behaviors and events are semantically recognized by employing object and interobject motion features. A number of types of behavior that are relevant to security in public transport areas have been selected to demonstrate the capabilities of this approach. Examples of these are abandoned and stolen objects, fighting, fainting, and loitering. Using standard public data sets, the experimental results presented here demonstrate the outstanding performance and low computational complexity of this approach. We also discuss the advantages over other approaches in the literature.
Realizing Your Wishes: Alleviating Online Shopping Hesitation via Peer Consumer Review in Social Shopping Context

A large proportion of online consumers tend to abandon their virtual shopping carts instead of finalizing their purchases. In this research in progress paper, we investigate how online shopping hesitation can be alleviated to promote product sales in the context of social shopping. Particularly, we attempt to address the research gap by exploring how online review characteristics (i.e., review credibility, review volume, and review timeliness) mitigate online shopping hesitation and encourage consumers to purchase from their wish-lists. We also explore the potential moderating role of consumer engagement and consumer expertise. In order to validate our research model, we obtained panel data from an online social shopping community and conducted some preliminary analyses. We believe that the results of this study will provide notable insights for both academic researchers and practitioners.
The Power of Information: Evidence from a Newspaper Campaign to Reduce Capture

The authors exploit an unusual policy experiment to evaluate the effects of increased public access to information as a tool to reduce capture and corruption of public funds. In the late 1990s, the Ugandan government initiated a newspaper campaign to boost schools' and parents' ability to monitor local officials' handling of a large school-grant program. The results were striking: capture was reduced from 80 percent in 1995 to less than 20 percent in 2001. The authors use distance to the nearest newspaper outlet as an instrument for exposure to the campaign. Proximity to a newspaper outlet is positively correlated with the head teachers' knowledge about rules governing the grant program and the timing of releases of funds from the center, but uncorrelated with test scores of general ability. A strong (reduced-form) relationship exists between proximity to a newspaper outlet and reduction in capture of school funds since the newspaper campaign started. This pattern contrasts sharply with the outcomes in the five-year period prior to the campaign. Instrumenting for head teachers' knowledge about the grant program, the authors find that public access to information is a powerful deterrent to capture at the local level.
A Narrow-Line Seyfert 1-Blazar Composite Nucleus in 2MASX J0324+3410

We report the identification of 2MASX J032441.19+341045.9 (hereafter 2MASX J0324+3410) with an appealing object that shows the dual properties of both a narrow-line Seyfert 1 galaxy (NLS1) and a blazar. Its optical spectrum, which has a Hβ line width of about 1600 km s-1 (FWHM), an [O III]-to-Hβ line ratio of ≃0.12, and strong Fe II emission, clearly fulfills the conventional definition of NLS1s. On the other hand, 2MASX J0324+3410 also exhibits some behavior that is characteristic of blazars, including a flat radio spectrum above 1 GHz, a compact core plus a one-sided jet structure on milliarcsecond scale at 8.4 GHz, highly variable fluxes in the radio, optical, and X-ray bands, and a possible detection of TeV γ-ray emission. On its optical image, obtained with the HST WFPC2, the active nucleus is displaced from the center of the host galaxy, which exhibits an apparent one-armed spiral structure extended to 16 kpc. The remarkable hybrid behavior of this object presents a challenge to current models of NLS1s and γ-ray blazars.
Prevent Malicious Controller in a Physical , Human and Cyber Triad

Gone are those simple days when cyber-attacks are not introduced to our physical world, the malfunction of a control system is treated as pure device failures, and the control system rarely threats customers’ safety in an active way. Malaysia Airlines flight MH370, for example, disappeared carrying more than 200 persons on March 8, 2014. Explanations do not reach an agreement ranging from mishandling of a suicidal pilot to cyber-attacks [1]. As a matter of fact, current control systems are vulnerable to potential attacks: military robots may rebel their human masters [2], hackers can manipulate modern automobiles or unmanned military aerial drones from a variety of attack surfaces [3], [4], and India blackout 2012 is partially resulted from misoperations of the protection system of electric grid [5]. The recent evidences in misbehavior activities covers all possible aspects of Physical, Human and Cyber (Phc) [2], [3], [4], [5]. Objective and Contributions: The problem we endeavor to solve is that, when malicious controllers are trying to take it over, can we train electronic control systems to choose the right from wrong? The goal of this paper is the development of an innovative framework for protecting control systems against malicious operations. Our objective is not to completely eliminate the attack, but rather to mitigate the risk resulted from misbehaviors. Related works: In [6], a cyber-physical-social based security architecture (namely, IPM) is proposed but how to prevent the malicious activities in Phc triad over the control system and how to withdraw the access right from misbehavior controllers have not been studied.
Psychometric evaluation of need-based quality of work life scale in an Indian sample

Purpose The purpose of this paper is to examine the psychometric properties of the need-based measure of quality of work life (QWL) in the Indian context. Design/methodology/approach The need-based QWL instrument was validated using the 380 samples collected from public and private sector employees working in India. The data were obtained via self-administered structured questionnaires. The data were examined conducting exploratory and confirmatory factor analyses with the help of SPSS AMOS (version 21). Findings The two-factor model confirmed the superiority over the seven-factor model in the Indian context. The results are strongly supported by the extant literature in organizational behavior domain. Originality/value Despite being the second highest populated country and one of the largest skill labor facilitator to the work economy, India lags behind in well-being-related studies as compared to its Western and Asian counterparts. This study has validated and simplified the complex need-based QWL measure in the Indian context. This is easily understandable that QWL instrument is believed to encourage the well-being research in India.
Proceedings of the 22 Nd International Congress on Acoustics Hearing Research Relevant to Communication Acoustics Hearing Research Relevant to Communication Acoustics

Hearing research has been a foundation for understanding communication acoustics. Historically, hearing researchers have viewed individual differences as a nuisance that makes it difficult to interpret how acoustic conditions affect auditory perception. This paper sketches out how we have begun to use individual differences to tease apart the processes that affect perception in young adults who have normal hearing thresholds, with a particular focus on how listeners understand speech when there are competing sound sources. We find that individual subjects show consistent differences in their ability to understand speech in noise, which are correlated with differences in the ability to extract fine temporal details of sounds, as well as with physiological differences in the fidelity with which the brainstem encodes temporal acoustic detail. Growing evidence suggests that cochlear synaptopathy, otherwise known as " hidden hearing loss, " may explain these differences in otherwise healthy listeners with normal hearing thresholds. After reviewing this evidence, this talk will consider the implications for developing new technologies that could assist listeners who have difficulty communicating in noisy, reverberant settings.
A Fluctuation Limit Theorem of Branching Processes with Immigration and Statistical Applications

We prove a general fluctuation limit theorem for Galton-Watson branching processes with immigration. The limit is a time-inhomogeneous OU type process driven by a spectrally positive Levy process. As applications of this result, we obtain some asymptotic estimates for the conditional least-squares estimator of the offspring means and variances of the offspring and immigration distributions.
MIXED CONVECTIVE HEAT TRANSFER IN RECTANGULAR ENCLOSURES FILLED WITH POROUS MEDIA

The mixed convective heat transfer in a fluid-saturated porous medium has been investigated numerically using the generalized non-Darcy model. The problem governing equations including the continuity, the generalized DarcyBrinkman-Forchheimer extended momentum and the energy transport equations were thereby solved using the finite difference method. The flow governing parameters including the Darcy, Richardson and Peclet numbers, and the length-toheight aspect ratio were varied in the range 10 -3 ≤ Da ≤ 10, 0.1 ≤ Ri ≤ 10, 1 ≤ Pe ≤ 10 3 and 0.5 ≤ AR ≤ 4 respectively while the Reynolds number was held constant at a value of Re = 100 for all computations. The results are presented in the form of the streamlines and isotherms contours, and the profiles for horizontal component of velocity, temperature and the local heat flux. The results show that all the flow governing parameters have strong influence on the flow pattern and heat distribution within the enclosure.
TREC 2005 Genomics Track at I2R

This paper describes the methods we used for the Ad Hoc task of TREC Genomics Track. Synonym dictionary for genes and pseudo relevance feedback are used to expand queries. BM25 model is implemented to retrieve relevant documents. We also tried to exploit name entities and their co-references in the retrieval. Results of submitted runs are listed and discussed.
A Computationally Universal Field Computer That is Purely Linear

As defined in MacLennan (1987), a {\it field computer} is a (spatial) continuum-limit neural net. This paper investigates field computers whose dynamics is also contiuum-limit, being governed by a purely linear integro-differential equation. Such systems are motivated both as as a means of studing neural nets and as a model for cognitive processing. As this paper proves, such systems are computationally universal. The ``trick'' used to get such universal nonlinear behavior from a purely linear system is quite similar to the way nonlinear macroscopic physics arises from the purely linear microsopic physics of Schr\"odinger's equation. More precisely, the ``trick'' involves two parts. First, the kind of field computer studied in this paper is a continuum-limit threshold neural net. That is, the meaning of the system's output is determined by which neurons have an activation exceeding a threshold (which in ths paper is taken to be 0), rather than by the actual activation values of the neurons. Second, the occurence of output is determined in the same thresholding fashion; output is available only when certain {\it output-flagging} neurons exceed the threshold, rather than after a certain fixed number of iterations of the system. In addition to proving and discussing their computational universality, this paper cursorily investigates the dynamics of these systems.
On the computation of a nonnegative matrix factorization and its application in telecommunications

1 — The Nonnegative Matrix Factorization (NMF) has become an increasingly popular approach in many areas of telecommunications. A number of properties and a nonlinear programming formulation for NMF are introduced, which allow approximations to the solution of diverse image processing problems, ranging from data analysis to video summarization, pattern recognition and image reconstruction. A spectral projected-gradient algorithm is investigated for the solution of the corresponding optimization problem. Techniques for finding an initial point of the decomposition are also discussed. Some computational experience is reported to highlight the efficacy of these techniques in practice.