Miracle-dz/UniFAR-FTUs huggingface dataset:
Registering Multiview Range Data to Create 3D Computer Objects

Concerns the problem of range image registration for the purpose of building surface models of 3D objects. The registration task involves finding the translation and rotation parameters which properly align overlapping views of the object so as to reconstruct from these partial surfaces, an integrated surface representation of the object. The registration task is expressed as an optimization problem. We define a function which measures the quality of the alignment between the partial surfaces contained in two range images as produced by a set of motion parameters. This function computes a sum of Euclidean distances from control points on one surfaces to corresponding points on the other. The strength of this approach is in the method used to determine point correspondences. It reverses the rangefinder calibration process, resulting in equations which can be used to directly compute the location of a point in a range image corresponding to an arbitrary point in 3D space. A stochastic optimization technique, very fast simulated reannealing (VFSR), is used to minimize the cost function. Dual-view registration experiments yielded excellent results in very reasonable time. A multiview registration experiment took a long time. A complete surface model was then constructed from the integration of multiple partial views. The effectiveness with which registration of range images can be accomplished makes this method attractive for many practical applications where surface models of 3D objects must be constructed. >
A Collaborative Filtering Recommendation System Combining Semantics and Bayesian Reasoning

Tag-based recommendation systems aim to improve the search experience of the end users. However, due to different backgrounds of the end users, descriptions of the same resources may be totally different in particle size and degree of specialization, which raises the question of how to tackle the growing discrepancy of public taxonomies (Folksonomy) in the social networks. In line with this, WordNet-based similarity is used to obtain semantic distance between tags and topic categories in order to reduce the divergence of tags. This in turn improves the search accuracy. The Bayesian reasoning is introduced to infer users' preferences through mining users' comments towards particular categories. Users' interaction behavior, which may facilitate preference estimation, is considered as well to enhance search efficiency. A series of experiments are conducted based on Flickr and Delicious datasets. The results show that the proposed recommendation algorithm can effectively improve search precision and provide a greater level of user satisfaction.
A semantic set theory for word semantic similarity assessment

A core issue for the vector space model based semantic similarity assessing algorithms is how to weight dimensional values for a headword. In this paper, a semantic set is supposed to be existed. Weight functions are in fact converting functions used to project the sematic set to practical vector spaces. For the converting property, a proper weight function should be non-linear and unrelated dimensions insensitive. Following this idea, a mutual information based weight function is proposed. With this function, most of unrelated dimensions for a headword could be filtered out and the values of remaining dimensions could be well weighted to minimize the effects caused by non-semantic factors such as grammatical relations and pragmatic habits. Experiments show that the new weight function performs better compared with the other metrics. These results also state the reasonability of the semantic set theory.
A Virtual Patchbay for robust Distributed Interactive Music Systems

Multiple computers and/or processors offer interactive music systems more processing power, more inputs and outputs, and more tolerance to failure. Systems based on multiple computers require careful design paying particular attention to communication and configuration. The virtual patchbay is a new structure in Aura that simplifies the configuration and interconnection of objects in a distributed computer music application. The virtual patchbay also optimizes configurations to reduce the number of duplicate messages sent over the network and helps the system tolerate crashes and rebooting while other components continue to function.
A new interaction force decomposition maximizing compensating forces under physical work constraints

In manipulation tasks interaction forces are often decomposed to be able to control robustness-reflective and accelerating forces separately. While this decomposition is typically performed for the synthesis of interaction forces to be applied for example in the context of robotic grasping, less attention has been paid to the analysis of measured, human interaction forces. Here, we introduce a physically-motivated bounding constraint, based on the law of energy conservation, and present a new decomposition approach for interaction force analysis with rigid objects. The decomposition extends the intuitive solution known in literature for the two finger grasp by maximizing robustness-reflective forces while respecting the bounding constraint. Advantages of our approach are illustrated in numerical examples and experiments and by comparing it to existing decomposition approaches. In contrast to existing approaches, our new approach is not limited in the number of interaction points and incorporates only individual interaction forces which are physically plausible.
Reactive Variability Realization with Test Driven Development and Refactoring

Software product line is a practice that has proven its advantages since it can offer to a company the reduction of time to market, the decrease of development costs, the increase of productivity and the improvement of the final product quality. However, this practice requires a high initial investment and offers long-term risks to dynamic markets where changes are difficult to predict. One of these markets is the mobile application development, which presents a growing demand, with smartphone and tablets having already surpassed sales of PCs and notebooks. Currently, proposals bring the advantages of software product line for dynamic markets through the use of agile software development practices, which is called Agile Product Line Engineering (APLE). This paper investigates the use of test-driven development (TDD) and refactoring techniques for performing reactive variability in APLE. The variability mechanism chosen is the configuration file that allows achieving more than one platform, an important problem in mobile application development. In that manner, new products can be built as needed, without the high upfront investment, but with a code easier to maintain. KeywordsSoftware product line, test-driven development, refactoring, variability realization
Parametric in vivo imaging of benzodiazepine receptor distribution in human brain

Emission computed tomographic methods for the in vivo quantification of radioligand‐binding sites in human brain have previously been limited either by a lack of correction for possible effects of altered ligand transport or by highly complicated physiological models that preclude display of binding data in a detailed anatomical format. We investigated the application of a simplified compartmental model to the kinetic analysis of in vivo ligand binding to central benzodiazepine receptors. The human brain distribution of {11C}flumazenil, as determined by dynamic positron emission tomography, combined with metabolite‐corrected arterial blood samples, permitted estimations of local cerebral ligand transport and of receptor binding. This approach allows calculation of transport and binding “maps” on a pixel‐by‐pixel basis, resulting in the display of binding data in a familiar tomographic format while maintaining much of the physiological accuracy inherent in more complex methods. The results obtained in a study of 6 normal volunteers revealed good interindividual precision, with coefficients of variation between 10 and 15% of mean regional values, suggesting the utility of this approach in future clinical studies of benzodiazepine receptor binding.
Statistical controversies in clinical research: prognostic gene signatures are not (yet) useful in clinical practice

With the genomic revolution and the era of targeted therapy, prognostic and predictive gene signatures are becoming increasingly important in clinical research. They are expected to assist prognosis assessment and therapeutic decision making. Notwithstanding, an evidence-based approach is needed to bring gene signatures from the laboratory to clinical practice. In early breast cancer, multiple prognostic gene signatures are commercially available without having formally reached the highest levels of evidence-based criteria. We discuss specific concepts for developing and validating a prognostic signature and illustrate them with contemporary examples in breast cancer. When a prognostic signature has not been developed for predicting the magnitude of relative treatment benefit through an interaction effect, it may be wishful thinking to test its predictive value. We propose that new gene signatures be built specifically for predicting treatment effects for future patients and outline an approach for this using a cross-validation scheme in a standard phase III trial. Replication in an independent trial remains essential.
Journal of Theoretical and Applied Information Technology Hybrid Seven Level H-bridge Inverter Based Dstatcom Control Using Sub-harmonic Pulse Width Modulation Technique

This paper presents an investigation of Hybrid Seven-Level (HSL) H – bridge Inverter is used in a Distribution Static Compensator (DSTATCOM) in Power System (PS), making use of HSLI benefits of low harmonics distortion, reduced number of switches to achieve the seven-level inverter output over the conventional cascaded seven level inverter and reduced switching losses. In order to improve the power factor, compensate the reactive power and suppress the total harmonics distortion (THD) drawn from a Non-Liner Diode Rectifier Load (NLDRL) of DSTATCOM, we propose a Sub-Harmonics Pulse Width Modulation (SHPWM) technique is used as control for the switches of HSL H – bridge Inverter. The D-Q reference frame theory is used to generate the reference compensating currents for DSTATCOM and proportional and integral (PI) control is used for capacitors dc voltage regulation for DSTATCOM. A HSL H – bridge Inverter is considered for shunt compensation of a 4.5 kV distribution system. The results are validated through MatLab/Simulink simulation software. 1. INTRODUCTION Shunt compensation for medium voltage distribution systems requires higher rating for voltage source converters (VSCs). Ratings of the semiconductor devices in a VSC are always limited; therefore for higher rated converters it is desirable to distribute the stress among the number of devices using multilevel topology [1]. Cascaded multilevel configuration of inverter has the advantage of its simplicity and modularity over the configurations of diode-clamped and flying capacitor multilevel inverters. Application of cascaded multilevel converters for shunt compensation of distribution systems has been described in [2]-[3]. The multilevel power conversion has been receiving increasing attention in the past few years for high power application [4]. Numerous topologies have been introduced and studied extensively for utility and drive applications in the recent literature. These converters are suitable in high voltage and high power applications due to their ability to synthesize waveforms with better harmonic spectrum and attain higher voltage with a
Sampled Data Model Predictive Idle Speed Control of Ultra-Lean Burn Hydrogen Engines

A model-based approach for the idle speed control of ultra-lean burn engines is presented. The results from model predictive control (MPC) are extended and collectively used with the existing sampled data control theory to obtain a rigorously developed idle speed control strategy. Controller is designed using MPC theory and facilitated by successive online linearizations of the nonlinear discrete-time model at each sampling instant. Simultaneously, the approximations due to the discretization of the nonlinear engine model are explicitly considered by designing the control within a previously proposed control design framework to obtain appropriate stability guarantees of an exact (unknown) discrete-time engine model. The proposed idle speed control method is experimentally validated on a prototype 6-cylinder hydrogen engine.
Constructing a Gazebo: Supporting Teamwork in a Tightly Coupled, Distributed Task in Virtual Reality

Many tasks require teamwork. Team members may work concurrently, but there must be some occasions of coming together. Collaborative virtual environments (CVEs) allow distributed teams to come together across distance to share a task. Studies of CVE systems have tended to focus on the sense of presence or copresence with other people. They have avoided studying close interaction between us-ers, such as the shared manipulation of objects, because CVEs suffer from inherent network delays and often have cumbersome user interfaces. Little is known about the ef-fectiveness of collaboration in tasks requiring various forms of object sharing and, in particular, the concurrent manipu-lation of objects. This paper investigates the effectiveness of supporting teamwork among a geographically distributed group in a task that requires the shared manipulation of objects. To complete the task, users must share objects through con-current manipulation of both the same and distinct at-tributes. The effectiveness of teamwork is measured in terms of time taken to achieve each step, as well as the impression of users. The effect of interface is examined by comparing various combinations of walk-in cubic immersive projection technology (IPT) displays and desktop devices.
User's Web Page Aesthetics Opinion

Analyzing a user's first impression of a Web site is essential for interface designers, as it is tightly related to their overall opinion of a site. In fact, this early evaluation affects user navigation behavior. Perceived usability and user interest (e.g., revisiting and recommending the site) are parameters influenced by first opinions. Thus, predicting the latter when creating a Web site is vital to ensure users’ acceptance. In this regard, Web aesthetics is one of the most influential factors in this early perception. We propose the use of low-level image parameters for modeling Web aesthetics in an objective manner, which is an innovative research field. Our model, obtained by applying a stepwise multiple regression algorithm, infers a user's first impression by analyzing three different visual characteristics of Web site screenshots—texture, luminance, and color—which are directly derived from MPEG-7 descriptors. The results obtained over three wide Web site datasets (composed by 415, 42, and 6 Web sites, respectively) reveal a high correlation between low-level parameters and the users’ evaluation, thus allowing a more precise and objective prediction of users’ opinion than previous models that are based on other image characteristics with fewer predictors. Therefore, our model is meant to support a rapid assessment of Web sites in early stages of the design process to maximize the likelihood of the users’ final approval.
Augmented reality paper clay making based on hand gesture recognition

We propose a gesture-based 3D modeling system, which allows the user to create and sculpt a 3D model with hand-gestures. The goal of our system is to provide a more intuitive 3D user interface than the traditional 2D ones such as mouse or touch pad. Inspired by how people make paper clay, a series of hand gestures are designed for interacting with the 3D object and their corresponding mesh processing functions are developed. Thus, the user can create a desired virtual 3D object just like paper clay making.
Visibility analysis of man-made objects in SAR images

The increasing resolution of SAR data offers the possibility to utilize this data for a detailed scene interpretation in urban areas. Different SAR specific phenomena like foreshortening, layover, shadow and multipath-propagation burden the interpretation. A high resolution LIDAR DEM of an urban scene is incorporated to investigate the impact of the phenomena on the visibility of man-made objects by a SAR measurement from a given sensor trajectory and orientation. LIDAR data as ground truth is well suited for this task, because it contains elevation information of man-made and natural objects. Incoherent sampling of the DEM simulates shadow and layover areas. By a variation of viewing and aspect angles a large number of such simulations are carried out. From this set of segmentations the n best are determined with respect to the visibility of roads and buildings. Furthermore, the locations of total reflection or double-bounce scattering in the vicinity of buildings are determined.
An XML-based Serialization of Information Exchanged by Software Agents

In this paper, we present an agent-based object-oriented solution to access the Web distributed resources. We describe Omega – an agent framework viewed as a hierarchical space of a set of distributed objects that models the Web resources. Also, we propose an XMLbased model that can be used as a universal manner for serialization of the objects processed by the agents. The serialization mechanism can use SOAP protocol, also.
Endothelial and steroidogenic cell migration are regulated by WNT4 in the developing mammalian gonad

The signalling molecule WNT4 has been associated with sex reversal phenotypes in mammals. Here we show that the role of WNT4 in gonad development is to pattern the sex-specific vasculature and to regulate steroidogenic cell recruitment. Vascular formation and steroid production in the mammalian gonad occur in a sex-specific manner. During testis development, endothelial cells migrate from the mesonephros into the gonad to form a coelomic blood vessel. Leydig cells differentiate and produce steroid hormones a day later. Neither of these events occurs in the XX gonad. We show that WNT4 represses mesonephric endothelial and steroidogenic cell migration in the XX gonad, preventing the formation of a male-specific coelomic blood vessel and the production of steroids. In the XY gonad, Wnt4 expression is downregulated after sex determination. Transgenic misexpression of Wnt4 in the embryonic testis did not inhibit coelomic vessel formation but vascular pattern was affected. Leydig cell differentiation was not affected in these transgenic animals and our data implies that Wnt4 does not regulate steroidogenic cell differentiation but represses the migration of steroidogenic adrenal precursors into the gonad. These studies provide a model for understanding how the same signalling molecule can act on two different cell types to coordinate sex development.
Digital Image Analysis Assisted Microradiography—Measurement of Mineral Content of Caries Lesions in Teeth

This study investigated the feasibility of using a digital image analysis system to process the information contained in microradiographs of tooth sections that included dental caries lesions. The results show that by using an aluminum step wedge to provide a range of thickness standards and a sound area of the sample as an internal reference, data on tooth mineral content as a function of the location can be obtained with an estimated error of less than 5% relative to the mineral content of sound area. This microradiographic technique allows the response of tooth samples to a remineralization treatment to be quantitatively measured and statistically analyzed.
A combined roadmapping-cluster approach for emerging technologies

This paper develops and applies a foresight methodology that accounts for both the systemic character and the inherent uncertainty of emerging technology. An effort has been made in this direction by combining the 'cluster approach', a relatively recent policy instrument that is built on a systemic perspective on innovation, with 'technology roadmapping', a business strategy instrument that is used in firms to cope with the turbulent character of technology selection and innovation. The combination of these two approaches is expected to enrich the cluster approach and make it fit for emerging technologies. The combined roadmapping-cluster approach is applied to a new nanocoating field in Germany.
Wireless sensor networks and video analysis for scalable people tracking

In this paper we present a system for indoor people tracking based on the combination of wearable sensors and a video analysis module. The sensor consists of an inertial platform, which provides attitude and acceleration data with a high rate. Data is fused by an Extended Kalman Filtering (EKF) to reconstruct the attitude and the accelerations experienced by the wearable sensors. The information is then integrated to reconstruct the position of the target. The presence of noise determines a gradual degradation of the localization accuracy. For this reason, a second EKF is used to reduce the uncertainty of the position by fusing the current estimation with measurements returned by the cameras.
UWThPh-2002-07 IR-Singularities in Noncommutative Perturbative Dynamics ?

We analyse the IR-singularities that appear in a noncommutative scalar quantum field theory on E4. We demonstrate with the help of the quadratic one-loop effective action and an appropriate field redefinition that no IR-singularities exist. No new degrees of freedom are needed to describe the UV/IR-mixing. Work supported by The Danish Research Agency. Work supported in part by “Fonds zur Förderung der Wissenschaftlichen Forschung” (FWF) under contract P13125-PHY. Work supported by “Fonds zur Förderung der Wissenschaftlichen Forschung” (FWF) under contract P15015-TPH. Marie-Curie Fellow.
PSO-RBFNN based optimized PNN classifier model

In this paper, a self-adaptive method of iris boundary detection is presented and the method can segment the iris area accurately regardless of the shapes of iris boundaries. On the same time, a new feature extraction technique based on combination using special Gabor filters and wavelet maxima components is proposed. Finally, The radial basis function neural network (RBFNN) with a particle swarm optimization (PSO) a novel iris iris recognition technique with intelligent classifier is proposed for high performance iris recognition. this paper combines radial basis function neural network (RBFNN) and particle swarm optimization (PSO) for an optimized PNN classifier model. The experimental results reveal the proposed algorithm provides superior performance in iris recognition.
Design of a Modified E-shaped Dual Band Patch Antenna for Ku Band Application

This paper presents the design of a dual band micro strip antenna for Ku band application. The antenna is designed as a patch with two slots. The result shows that the return loss of-42dB and -43dB is achieved at resonant frequencies of 11.95GHz and 14.248 GHz respectively. Satisfactory radiation patterns have also been obtained through simulation. The maximum gain in frequency band is 7.2dB. The antenna is design and simulated by CST Microwave Studio software.