nils-herrmann/clean_scirepeval huggingface dataset:
Preliminary study on determining stereotypical motor movements

Stereotypical motor movements are one of the most common and least understood behaviors occurring in individuals with Autism Spectrum Disorder (ASD). To overcome problems with traditional methods for measuring stereotypical motor movements in persons with ASD, the Kinect sensor from Microsoft and gesture recognition algorithms were used to automatically detect hand flapping. This study provides a valuable tool to monitor stereotypes in order to understand and to cope with this problem. At the end it facilitates to identify behavioral patterns especially relevant when studying interaction skills in children with ASD.
Augmented reality on robot navigation using non-central catadioptric cameras

In this paper we present a framework for the application of augmented reality to a mobile robot, using non-central camera systems. Considering a virtual object in the world with known local 3D coordinates, the goal is to project this object into the image of a non-central catadioptric imaging device. We propose a solution to this problem which allows us to project textured objects to the image in real-time (up to 20 fps): projection of 3D segments to the image; occlusions; and illumination. In addition, since we are considering that the imaging device is on a mobile robot, one needs to take into account the real-time localization of the robot. To the best of our knowledge this is the first time that this problem is addressed (all state-of-the-art methods are derived for central camera systems). To evaluate the proposed framework we test the solution using a mobile robot and a non-central catadioptric camera (using a spherical mirror).
Detection of stereotyped hand flapping movements in Autistic children using the Kinect sensor: A case study

This paper presents a case study on the use of the Microsoft Kinect sensor and the gesture recognition algorithm, Dynamic Time Warping (DTW to automatically detect stereotyped motor behaviours in children with Autism Spectrum Disorder (ASD). The proposed system was initially tested in a laboratory environment, and after the encouraging results obtained, the system was tested during the sessions with children with ASD in two schools with Special Needs Units. Video analysis was used to validate the results obtained using the Kinect application. This study provides a valuable tool to monitor stereotypes in order to understand and to cope with this problematic. In the end, it facilitates the identification of relevant behavioural patterns when studying interaction skills in children with ASD.
Magnetovolume Effects in Heusler Compounds via First-Principles Calculations

Heusler alloys are promising for several applications, including magnetic refrigeration, due to high magnetocaloric and magnetovolume effects. One way to optimize this potential is by increasing the magnetovolume effect. Using density functional theory with the Korringa–Kohn–Rostoker method, we calculate the effective exchange interaction energies and corresponding mean field Curie temperature as a function of the volume (hydrostatic pressure) in several L21-type Co2YZ Heusler alloys. Different qualitative trends and signs of the pressure derivatives of the Curie temperature and moments are found among these compounds, discussed and compared with previous calculations and experiments.
A Framework for Augmented Reality Using Non-Central Catadioptric Cameras

In this article we propose a framework for the application of augmented reality to non-central catadioptric imaging devices. Considering a virtual object in the world with known 3D coordinates, the goal is to project this object into the image of a non-central catadioptric camera. We propose a solution to this problem which allows us to project texturized objects to the image in realtime, up to 20 fps: projection of 3D segments to the image, occlusions, illumination and shading. To the best of our knowledge this is the first time that this problem is addressed (all state-of-the-art methods are derived for central camera systems). In our experiments, we used a non-central catadioptric camera formed with a perspective camera and a spherical mirror. To test the proposed approach, we define a cube with texturized faces where each of the main steps of the framework is evaluated. To conclude, we used the proposed framework to project to the image the Stanford "bunny" object.
Accurate and fast micro lenses depth maps from a 3D point cloud in light field cameras

Light field cameras capture a scene's multi-directional light field with one image, allowing the estimation of depth. In this paper, we introduce a fully automatic method for depth estimation from a single plenoptic image running a RANSAC-like algorithm for feature matching. The novelty about our method is the global method to back project correspondences found using photometric similarity to obtain a 3D virtual point cloud and different methods to build a depth map from the 3D point cloud generated. We use lenses with different focal-lengths in a multiple depth map refining phase, generating a dense depth map. Tests with simulations and real images are presented and compared with the state of the art, showing comparable accuracy for substantial less computational time.
Thermodynamics of the 2-D Ising Model From a Random Path Sampling Method

We explore the thermodynamics of the 2-D Ising model from a random path sampling method. We show how convergence of free energy and magnetization is obtained in a number of sweeps orders of magnitude below the number of total configurations. The effects of external parameters, such as magnetic field (H) and temperature (T) are accounted in a computationally simple way, allowing very detailed (H, T)-dependent calculations. The effects of more complex interactions can also be considered, particularly magnetovolume coupling, which has proven to be difficult to tackle using traditional approaches. We show its effect on magnetic entropy change (magnetocaloric effect) in this microscopic scenario. As magnetic refrigeration technology matures, the microscopic optimization of magnetovolume effects to enhance the magnetocaloric properties may become a valuable tool in the search of new magnetic refrigerants.
Projection through quadric mirrors made faster

This paper presents a novel framework to project 3D points through curved mirrors to an image device. The problem solved is the search for the reflection point for an arbitrary vision system with a quadric shaped mirror. The main advantage claimed for the framework presented is its computer efficiency while providing better accuracy since the search for the reflection point is made in a parameterized curve that is function of a single unknown. The alternative solvers are the classical Snell Law and the Fermat Principle that, as proved in experiments, present a much slower convergence than the new method since they have a multidimensional search space rather than a unidimensional one. This new method can be used to speed up calibration of noncentral catadioptric systems based on reprojection error. It can also be used for rendering purposes since it enhances the performance of the projection of points through mirrors while enhancing its accuracy, whether the mirror is part of the vision system (catadioptric camera) or if it is only a specular surface in the scene that reflects light in arbitrary directions. Another application of this framework is for illumination purposes, providing a faster way to compute reflected light direction or for the computation of the direction of the light source. Experiments in performance evaluation show the usefulness of the method presented.
Studies on the yarn mass parameters determination using Image Processing techniques

This paper presents a study on the development of a methodology to automatically determine yarn mass parameters using Image Processing (IP) techniques. The sample images were analyzed and processed through a custom made application developed in LabVIEW from National Instruments using IMAQ Vision Toolkit. The results show that a reliable diameter, mass and yarn faults determination can be obtained using IP techniques. Step-by-step algorithms used to determine yarn mass parameters are described. The presented approach allows improving products quality as well as the possibility of increasing the efficiency of the textile industry.
Data Quality in HL7 Messages -- A Real Case Analysis

The development of eHealth technologies over the last few years has been pushing healthcare institutions to evolve their own infrastructures. Along with this evolution, critical systems now need to use communication standards such as HL7 or DICOM in order to exchange information in a more meaningful and efficient way. However, healthcare institutions often experience complications when different systems communicate directly even when using communication standards. We aim to assess the quality of the data present in HL7 messages exchanged between different critical systems in a large healthcare facility and therefore propose an integration infrastructure that allows a real time and centralized way to manage, route and monitor the integration flows between various systems.
Propagation model for urban microcellular systems at the UHF band

This paper presents a new propagation model for urban environments, which takes into account propagation over buildings and inside streets. The formulation for multiple diffraction loss over rooftops results from the combination of Vogler's (1982) and Xia and Bertoni's (1992) models, which enables its application to profiles of buildings with non uniform heights and spacings keeping the calculation time low. A ray-tracing tool, based on the image method and UTD, has been developed to estimate the attenuation inside streets; attenuation introduced by vegetation is also accounted for by a new method. The results obtained with the application of the model to two areas of Lisbon show the importance of rays conducted by transversal streets and diffracted by vertical edges when predicting the signal near crossroads. Average values of 3.5 dB, -0.07 dB and 2.6 dB were obtained for the mean absolute and relative errors and for the standard deviation error, respectively.
Automatic detection of stereotyped hand flapping movements: Two different approaches

Stereotypical motor movements are one of the most common and least understood behaviors occurring in individuals with Autism Spectrum Disorder (ASD). The traditional methods for recording the number of occurrences and duration of stereotypies are insufficient and time consuming. Thus the objective of this study is to automatically detect stereotypical motor movements in real time considering two different approaches. The first approach uses the Microsoft sensor Kinect and gesture recognition algorithms. The second approach uses a trademark device of Texas Instruments with built-in accelerometers and statistical methods to recognize stereotyped movements. The two proposed systems were tested in children with Autism Spectrum Disorders (ASD) and the results are compared. This study provides a valuable tool to monitor stereotypes in order to understand and to cope with this problematic. In the end, it facilitates the identification of relevant behavioral patterns when studying interaction skills in children with ASD.
A Policy-based storage model for sensor networks

Policies are used for developing adaptable and flexible systems in a variety of areas. They are especially suitable for reducing the complexity of managing tasks, by providing a mechanism for automatically tuning the system without human intervention. Policy-based systems have been applied for wireless sensor networks (WSNs) for controlling several functionalities. However, none of them has been proposed as a storage model, by making a clear distinction between storage functions and their behaviour. In this paper we propose SeSP, a Sensor Storage model based on Policies. SeSP explores concepts that are common in storage models proposed for WSNs in order to reduce the number of message transmissions and thus minimize the sensors' energy consumption. We have conducted a case study applying our policy-based system on two existing storage models: Scoop and DYSTO. Our experimental study, based on simulations, shows that SeSP can effectively reduce the number of transmissions, compared to the fixed values considered by both systems.
Near-LSPA performance at MSA complexity

The tradeoff between error-correcting performance and numerical complexity of LDPC decoding algorithms is a well-known problem. In this paper we depict the unseen error-floor performance of the Self-Corrected Min-Sum algorithm for long length DVB-S2 codes. We developed a massively parallel simulation using GPUs which allowed a comprehensive BER characterization either in the waterfall or in the error-floor region. We show that the self-correction technique increases the BER performance by 0.5 and 0.2 dB, in the waterfall and error-floor region, when compared to the Min-Sum algorithm. Furthermore, it reaches within 0.2 dB to the Logarithmic Sum-Product BER performance and it also outperforms the Normalized Min-Sum at high SNR, a low complexity decoding algorithm which yields good BER performance.
Fusing appearance and geometric constraints for estimating the epipolar geometry

Recovering the epipolar geometry of a stereo image pair is important for many computer and robotic vision systems, for performing motion recovering, 3D reconstruction and, more recently, image retrieval from large databases. Most state-of-the-art methods for estimating the fundamental matrix rely solely in putative image correspondences, and, therefore, heavily depend on the capability of the low-level image features to provide enough distinctiveness capabilities for establishing correct matches. In this paper we present a robust method for estimating the fundamental matrix based on all image features, and not only matching points. This is done by selecting the best correspondent keypoints between views through a proper weighting function that fuses local appearance of keypoints and distance to the epipolar lines. Several distance weighting functions are compared, with an intuitive theoretical analysis of the role of each function parametrization being analyzed. Experimental evidence shows that our approach outperforms the current state-of-the-art methods in terms of error magnitude, number of correct matches provided and computational time.
Yarn hairiness determination using image processing techniques

This paper presents a method to automatically determine yarn hairiness using Image Processing (IP) techniques. After image acquisition, the samples are analyzed and processed by a custom-made application developed in Lab VIEW from National Instruments with the IMAQ Vision toolkit. The results show that a reliable quantification of the yarn hairiness index can be obtained. This methodology can be used as an efficient alternative to the traditional commercial hairiness testers suppressing their constraints. Step-by-step algorithms used to isolate the yarn core, to highlight the fibres and to measure the hairiness index are described.
Robótica-Autismo project: Technology for autistic children

This article presents the Robótica-Autismo research project which started in 2009 from a partnership with APPACDM (Portuguese Association of Parents and Friends of Mentally Retarded Citizens). The main objective of the study is to promote the interaction and communication with children with Autism Spectrum Disorder (ASD) by using robots. Different approaches have been followed by the researchers enrolled in this project. Some studies are focused on using Lego robots to teach social and academic skills to children with ASD; other studies are dedicated to the detection of stereotyped movements in children with ASD using two different methods: the Kinect sensor and accelerometers. Recent work is related to the use of a humanoid robot that allows facial expressions to facilitate the emotion recognition and teaching facial expressions.
A propagation model for urban microcellular systems at the UHF band

This paper presents a new propagation model for urban environments, which takes into account propagation over buildings and inside streets. The formulation for multiple diffraction loss over rooftops results from a combination of the Vogler (1982) and Xia and Bertoni (1992) models, which enables its application to profiles of buildings with nonuniform heights and spacings, keeping the calculation time low. A ray-tracing tool based on the image method and on the uniform theory of diffraction (UTD) has been developed to estimate the attenuation inside streets; loss introduced by vegetation is also accounted for. The results obtained with the application of the model to two areas of Lisbon show the importance of rays conducted by transversal streets and diffracted by vertical edges when predicting the signal near crossroads. Average values of 3.5 dB, -0.07 dB, and 2.6 dB were obtained for the mean absolute and relative errors and for the standard deviation error, respectively.
Analysis and comparison of HL7 messages in a hospital services

Due to the high number of IT systems present in health institutions, their specificity and their usefulness in improving the delivery of health services, creates a serious problem for institutions when there are problems in the integrations between the various IS's. In this article we detail an analysis made to the state of integrations among the IS of two Portuguese hospitals. In both hospitals, the SIs of the clinical analysis and radiology departments and their integrations with the hospital's central IS were analyzed. The integrations use the HL7 standard that is widely used for the communication of data between the various computer systems in health institutions in Portugal. From the HL7 messages exchanged by the analyzed SI, the segments MSH, PID, PV1, OBR, ORC and MSA were observed. Our results allow us to conclude that the quality of integrations in terms of completeness of required and conditional fields is similar in the two hospitals analyzed (90% in A and 91% in B). We conclude that there are significant differences between hospitals regarding the use of HL7 standard, percentage of syntactic and semantic errors.
Omnidirectional mirror design: multiple linear ring-windows viewing

In the following paper we present a methodology for designing catadioptric mirrors used as omnidirectional sensors taking info account linear projection properties. In order to get a constant resolution camera: such a linearity is stalled by pixel coordinates. This method also allows setting several areas to observe, and for each of them, the corresponding percentage of the mirror's radius. Then we illustrate our method with some simulation examples, and show matching real catadioptric mirrors. We include a software using this method. The former can be used to design and test the shape of a sensor, using the ray tracing software POV-Ray/sup trade;/.
Robotic assistance: an automatic wheelchair tracking and following functionality by omnidirectional vision

Robotic researches can contribute to the restoration of some functions lost by handicapped people. The over-cost generated by the additive potentialities must be affordable and related to the value of the usual product. In most cases, autonomous functions are direct transpositions of solutions applied in industrial robotics. If we consider that in addition with cost, security is a supplementary constraint of rehabilitation robotics, an important research effort is needed to propose technological components. The aim of this paper is to introduce a functionality within the context of the following plan: "technical achievement and psychological analysis of a master/slave robot assistance for the invalid person" (HTSC: human/technology complex system). This application allows a severely handicapped person to handle at the same time a movable platform and a Manus/spl reg/ arm. In this paper, we will present an "automatic tracking" functionality we developed in order to keep the Manus/spl reg/ arm automatically close to the patient.
Generic method for recognition of a wheelchair, even with a low resolution-effective sensor

In the following paper we present a method for recognition of special shapes. We aim at finding a wheelchair and its occupant in an omnidirectional image as fast as possible. We use two images to get a stereo vision and then compute the relative position of the object. Our method allows to detect it very quickly in a field of 360/spl deg/ in a single shot. Furthermore we can perform the detection without problem of orientation of the wheelchair towards the sensor.
No-reference video quality metric for HDTV based on H.264/AVC bitstream features

No-reference video quality metrics are becoming ever more popular, as they are more useful in real-life applications compared to full-reference metrics. Many proposed metrics extract features related to human perception from the individual video frames. Hence the video sequences have to be decoded first, before the metrics can be applied. In order to avoid decoding just for quality estimation, we therefore present in this contribution a no-reference metric for HDTV that uses features directly extracted from the H.264/AVC bitstream. We combine these features with the results from subjective tests using a data analysis approach with partial least squares regression to gain a prediction model for the visual quality. For verification, we performed a cross validation. Our results show that the proposed no-reference metric outperforms other metrics and delivers a correlation between the quality prediction and the actual quality of 0.93.
Evaluation of video quality fluctuations using pattern categorisation

Fluctuations of video quality over time can have a significant influence on the overall perceived quality as represented by the QoE. Existing methodologies for subjective video quality assessment, however, are often not suitable for the evaluation of these quality fluctuations, especially if they occur within very small time frames. In this contribution, we therefore propose a new method, VIQPAC, which addresses this shortcoming by using a pattern categorisation approach. Instead of requiring the subjects to provide a continuous quality evaluation, the subjects assess the overall quality impression and the strength of the quality fluctuation, combined with a categorisation of the encountered fluctuation pattern. This allows us to determine the fluctuation dependent temporal changes in the quality. The results show that VIQPAC is able to capture the pattern and strength of quality fluctuations, allowing for a proper description of the temporal quality changes within a video sequence.
Actions of noncompact groups and algorithm design: a case study

Numerical matrix computations involving actions of noncompact transformation groups are known to produce numerical problems since the elements of the pertaining matrix representations are inherently unbounded. In this case study we analyse numerical problems occurring in a class of algorithms that is based on actions of the pseudo-orthogonal group O/sub n,m/-a group that is noncompact (hyperbolic geometry) and well established in signal processing (Schur methods). As a major result, it is shown how to exploit the additional degrees of freedom in defining coordinate frames in a Grassmannian setting in order to impose an a priori bound on the norm of the transformation matrices. This way, numerically disastrous situations can be circumvented systematically. Hence, it becomes possible to develop modified algorithms which exhibit superior numerical performance for a large class of problems based on, for example, hyperbolic transformations.