Miracle-dz/UniFAR-FTUs huggingface dataset:
An intuitive teaching system using sensor fusion and 3D matching

In this paper, a fast intuitive system for robot teaching based on sensor fusion and 3D shapes matching technology is presented. The off-line robot programming technique has been developed for a few years. However, many intuitive ways are set up complex system which always need relatively high initial investment in software and workers' training. In this paper, we also present a system to program an UR robot in an intuitive way, which allow users, even non-expert workers, to program robot more simple and faster, what's more, this system which is much easier to implement is simply and inexpensive, making it more vulnerable to be widely used, especially in small and medium enterprises. In this system, a human-robot interaction system has been designed, a 3D registration algorithm is proposed for the matching between virtual 3D model and real work piece. Once the registration is completed, the system can convert any cloud point data from the virtual 3D model into the corresponding points on the real work piece. In addition, the great deal of information included in the 3D model makes the tool orientation teaching more easily. We aim to create an easy-to-use robot programming system which could be accessible to anyone without professional skills, and this system is required to be high efficiency and precision. Additionally, it's safe because of users do not need to be physically closed to the machine working environment.
Robust velocity computation from a biologically motivated model of motion perception

Current computational models of motion processing in the primate motion pathway do not cope well with image sequences in which a moving pattern is superimposed upon a static texture. The use of non–linear operations and the need for contrast normalization in motion models mean that the separation of the influences of moving and static patterns on the motion computation is not trivial. Therefore, the response to the superposition of static and moving patterns provides an important means of testing various computational strategies. Here we describe a computational model of motion processing in the visual cortex, one of the advantages of which is that it is highly resistant to interference from static patterns.
Combining bootstrap and genetic programming for feature discovery in diesel engine diagnosis

Liangsheng Qu School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, China China This paper considers feature discovery in fault diagnosis using bootstrap processing and genetic programming. Bootstrap is one of the powerful computer-simulated statistical techniques. It integrates classical statistics with the numerical calculations of a computer. This paper uses bootstrap to preprocess the operational data acquired from a running machine. Then, genetic programming evolves with the preprocessed data samples. The main aim is to discover an efficient tree-like structure on the basis of a group of simple initial candidate features. The best compound feature found by genetic programming can discriminate among the four kinds of commonly operating statuses of the machine. This novel approach is demonstrated by fault diagnosis of the fuel system in a diesel engine.
A Survey on Personalized Multimedia Content Search

Millions of users share opinions on different aspects of life every day. User can give opinions through their comments related to multimedia contents. For analyzing user’s demands we can evaluate user comments as a common online resource. Comments given by user provide clues about them & also their interest area. In this paper, we done survey on different techniques used for personalized search in relevant information retrieval. Recommender systems or recommendation systems are a subclass of information filtering system that seek to predict ‘rating’ or ‘preference’ that are given by users. We propose a personalized search system, called MovieMine, enhance this proposed system to provide more relevant data summarized according to past & present comments left by user. Large movie data center provide movie review which can be utilized for more specific output. Experimental evaluations show that our proposed techniques are efficient and perform better than previously proposed methods. As in research work we can study more types of sentiment analysis with different recommender systems approach. KeywordsPersonalized search contents, user comments, Logistic regression, recommender system. __________________________________________________*****_________________________________________________
Space‐fractional advection‐dispersion equations with variable parameters: Diverse formulas, numerical solutions, and application to the Macrodispersion Experiment site data

To model the observed local variation of transport speed, an extension of the homogeneous space‐fractional advection‐dispersion equation (fADE) to more general cases with space‐dependent coefficients (drift velocity V and dispersion coefficient D) has been suggested. To provide a rigorous evaluation of this extension, we explore the underlying physical meanings of two proposed, and one other possible form, of the fADE by using the generalized mass balance law proposed by Meerschaert et al. (2006). When the classical Fick's law is replaced by its generalized form in the first‐order mass conversation law, the original fADE with constant parameters extends to the advection‐dispersion equation (ADE) with fractional flux (denoted as FF‐ADE). When the net inflow of dispersive flux is from nonlocal concentration gradients following a fractional divergence, we get the ADE with fractional divergence (FD‐ADE). When the total net inflow from both nonlocal advection and nonlocal concentration gradients follows a fractional form, the fADE contains fully fractional divergence (FFD‐ADE). These three fADEs with constant parameters can also be obtained by proper choice of the two memory kernels in the nonlocal dispersive constitutive theory proposed by Cushman et al. (1994), while the space‐variable fADEs correspond to the conditional nonlocal theory proposed by Neuman (1993) after specifying the general (Lévy‐type) functional form of the random distribution. The corresponding Langevin Markov models can be found in many cases, where the Lagrangian stochastic processes can be conditioned directly on local aquifer properties at any practical, measurable level and resolution. The resulting Lagrangian random‐walk particle tracking methods, along with previous numerical solutions using implicit Euler finite differences, distinguish and elucidate the plume behavior described by these fADEs. The fractional models are applied to fit the tritium plumes measured at the Macrodispersion Experiment test site. When the local parameters gleaned from the hydraulic conductivity (K) distribution are varied even slightly (i.e., a two‐zone model), allowing the use of observed hydraulic conditions at the site, the model fits are well within the variability of the data. The extended fADEs describe the fast and space‐dependent leading edges of measured plumes in the regional‐scale alluvial system, which was underestimated and could not be fully captured by the original fADE with constant parameters. Applications also favor the FD‐ADE model because of the ease of implementation and consistency with previous analysis of the K statistics.
Calibration Method for an Augmented Reality System

— In geometrical camera calibration, the objective is to determine a set of camera parameters that describe the mapping between 3D references coordinates and 2D image coordinates. In this paper, a technique of calibration and tracking based on both a least squares method is presented and a correlation technique developed as part of an augmented reality system. This approach is fast and it can be used for a real time system
Revolution or evolution? An analysis of E-health innovation and impact using a hypercube model

This study utilises a hypercube innovation model to analyse the changes in both healthcare informatics and medical related delivery models based on the innovations from Tele-healthcare, electronic healthcare (E-healthcare), to mobile healthcare (M-healthcare). Further, the critical impacts of these E-health innovations on the stakeholders: healthcare customers, hospitals, healthcare complementary providers and healthcare regulators are identified. Thereafter, the critical capabilities for adopting each innovation are discussed.
Creating a large-scale searchable digital collection from printed music materials

In this paper we present our work towards developing a large-scale web application for digitizing, recognizing (via optical music recognition), correcting, displaying, and searching printed music texts. We present the results of a recently completed prototype implementation of our workflow process, from document capture to presentation on the web. We discuss a number of lessons learned from this prototype. Finally, we present some open-source Web 2.0 tools developed to provide essential infrastructure components for making searchable printed music collections available online. Our hope is that these experiences and tools will help in creating next-generation globally accessible digital music libraries.
Self maintenance of multiple views in data warehousing

Materialized views (<italic>MV</italic>) at the data warehouse (<italic>DW</italic>) can be kept up to date in response to changes in data sources without accessing data sources for additional information. This process is usually refered to as “self maintenance of views”. A number of algorithms have been proposed for self maintenance of views, which use <italic>auxiliary views (AV)</italic> to keep some additional information in <italic>DW</italic>. In this paper we propose an algorithm for self maintainability of multiple <italic>MVs</italic> using the above approach. Our algorithm generates a simple maintenance query to incrementally maintain an <italic>MV</italic> along with its <italic>AV</italic> at <italic>DW</italic>. The algorithm maintains these views by minimizing the number and the size of the <italic>AVs</italic>. Our approach provides better insight into view maintenance issues by exploiting the dependencies and constraints that might exist in the data sources and multiple <italic>MVs</italic> at <italic>DW</italic>.
Witnessing the 2014 Gaza War in Tumblr

During the summer of 2014, Israel launched Operation Protective Edge against Hamas positions in the Gaza Strip. The decades old conflict between Israel and Palestine flared up after three teenagers were kidnapped and killed in the West Bank by rogue Hamas members. The 2014 war left more than 2,000 Palestinians dead, with much of the death and suffering in Gaza witnessed in, through, and by media. This research examines the witnessing of this conflict by Muslim bloggers in microblogging platform Tumblr. It considers how bloggers in the space worked to make sense of what they witnessed, how they worked to advocate for Palestinians, and how the space made visible contestations over whose experiences, as victims and as witnesses, were most important for understanding the conflict.
Acupuncture treatment for hypertension: a case study

This report describes the regular use of acupuncture treatments for a patient with hypertension who could not tolerate the side effects of the antihypertensive agents. The patient received 60 acupuncture treatments in the course of 12 weeks, during which time his overall wellbeing improved, his blood pressure reduced and the side effects of antihypertensive drugs were removed. Although acupuncture plus the drug appeared to have a substantial synergistic effect that was weakened when the drug was discontinued, acupuncture may still play a role in the management of hypertension, especially for patients who cannot tolerate the side effects of antihypertensive agents.
Convective Cooling and Fragmentation of Gravitationally Unstable Disks

Gravitationally unstable disks can fragment and form bound objects provided that their cooling time is short. In protoplanetary disks, radiative cooling is likely to be too slow to permit formation of planets by fragmentation within several tens of AU from the star. Recently, convection has been suggested as a faster means of heat loss from the disk, but here we demonstrate that it is only marginally more efficient than radiative cooling. The crucial factor is the rate at which energy can be radiated from the disk's photosphere, which is robustly limited from above in the convective case by the adiabatic temperature gradient (given a certain midplane temperature). Thus, although vigorous convection is definitely possible in disks, the inefficiency of radiative loss from the photosphere may create a bottleneck, limiting the ability of the disk to form self-gravitating objects. Based on this argument, we derive a set of analytical constraints that diagnose the susceptibility of an unstable disk to fragmentation and show that the formation of giant planets by fragmentation of protoplanetary disks is unlikely to occur at distances of tens of AU. At the same time, these constraints do not preclude the possibility of fragmentation and star formation in accretion disks around supermassive black holes.
Exploiting Concept Association to Boost Multimedia Semantic Concept Detection

In the paper we study the efficiency of semantic concept association in multimedia semantic concept detection. We present an approach to automatically learn from the corpus the association strength between pair-wise semantic concepts. We discuss two usages of association strength: 1) applying positive concepts with high association strength for selecting expressive component in the model-based fusion and 2) applying negative concepts with low association strength as filters. We evaluate its efficiency on the task of semantic concept detection on the large-scale news video dataset from TRECVID 2005 development set. Our experimental results demonstrate that exploiting positive association reduces the size of feature dimension in the model-based fusion and significantly improves the rank performance of system. The mean average precision is increased to 0.215 on the validation set and 0.206 on the evaluation set. Compared to the traditional model-based fusion, the improvement is about 9.1% and 3.5%, respectively. The average feature dimension is reduced to 43 from 312.
Design of a Solar Tracker System for PV Power Plants

This paper deals with the design and execution of a solar tracker system dedicated to the PV conversion panels. The proposed single axis solar tracker device ensures the optimization of the conversion of solar energy into electricity by properly orienting the PV panel in accordance with the real position of the sun. The operation of the experimental model of the device is based on a DC motor intelligently controlled by a dedicated drive unit that moves a mini PV panel according to the signals received from two simple but efficient light sensors. The performance and characteristics of the solar tracker are experimentally analyzed.
Glial Growth Factor 2, a Soluble Neuregulin, Directly Increases Schwann Cell Motility and Indirectly Promotes Neurite Outgrowth

Schwann cells proliferate, migrate, and act as sources of neurotrophic support during development and regeneration of peripheral nerves. Recent studies have demonstrated that neuregulins, a family of growth factors secreted by developing motor and peripheral neurons, influence Schwann cell development. In this study, we use three distinct assays to show that glial growth factor 2 (GGF2), a secreted neuregulin, exerts multiple effects on mature Schwann cells in vitro. At doses submaximal for proliferation, GGF2 increases the motility of Schwann cells cultured on peripheral nerve cryosections. Furthermore, in a novel bioassay, focal application of GGF2 causes directed migration in conventional monolayer cultures of Schwann cells. At higher doses, GGF2 causes proliferation, as described previously. In a new explant culture system designed to emulate entubulation repair of transected peripheral nerves, GGF2 concentrations greater than necessary to saturate the mitotic response induce the secretion by Schwann cells of activities that promote sympathetic neuron survival and outgrowth. These findings support a model in which neuregulins secreted by peripheral neurons are key components of reciprocal neuron–glia interactions that are important for peripheral nerve development and regeneration.
Strongly Contracting Geodesics in Outer Space

We study the Lipschitz metric on Outer Space and prove that fully irreducible elements of Out(F_n) act by hyperbolic isometries with axes which are strongly contracting. As a corollary, we prove that the axes of fully irreducible automorphisms in the Cayley graph of Out(F_n) are stable, meaning that a quasi-geodesic with endpoints on the axis stays within a bounded distance from the axis.
Use and misuse of ChPT in the heavy-light systems

We discuss the range of validity of ChPT when applied to the systems of heavy-light mesons. Having in mind the recent experimental evidence according to which the heavy-light scalar and axial states are closer to the ground states than anticipated, we revisited the prediction for the chiral behavior of the B-Bbar mixing amplitude and examined the impact of nearness of the positive parity states. We conclude that the standard ChPT expressions with Nf=3 light flavours are not useful in guiding the extrapolation of hadronic quantities computed on the lattice. Instead those derived in HMChPT with Nf=2, i.e., including only the pion loops, are still adequate as long as they are applied to the pions lighter than 350 MeV, or the quarks lighter than a third of the physical strange quark mass.
A Memory Access Scheduling Method for Multi-core Processor

It is well known fact that multi-core processor architecture is the mainstream of the next-generation microprocessor architecture and actualizes by Chip Multi-core Processors (CMP). As the number of cores per processor and the number of threaded applications increase, the performance of more and more applications will be limited by the processor’s memory bandwidth. DRAM memory is a major resource shared among cores in a CMP system. However, shared hardware resources pose a significant resource management problem in designing CMP systems. DRAM bandwidth becomes a critical shared resource makes developers are faced with the challenges of memory wall. The on-chip and off-chip cache or memory resources are limited and in many situations, cannot hold the working set of the threads running on all these cores. Existing DRAM access management schemes provide support for enforcing bandwidth shares but have problems like starvation, complexity, and unpredictable DRAM access latency. In this paper, we analyze the structures of DRAM and the prevalent multi-core architectures, and then we propose a Fair Dynamic Pipelining (FDP) memory access scheduling to resolve the memory wall problem. The experiment result shown that FDP avoids unexpected long latencies or starvation of memory requests using the dynamic pipeline arrangement policy and it provides an alterable priority strategy to make the response of memory more fairly. So that the FDP scheduling makes the bandwidth shares to achieve desired average latencies for multi cores memory accesses.
Neutrino Oscillations and Lepton Flavor Mixing

In view of the recent announcement on nonzero neutrino mass from Super-Kamiokande experiment, it would be very timely to investigate all the possible scenarios on masses and mixings of light neutrinos. Recently suggested mass matrix texture for the quark CKM mixing, which can be originated from the family permutation symmetry and its suitable breakings, is assumed for the neutrino mass matrix and determined by the four combinations of solar, atmospheric and LSND neutrino data and cosmological hot dark matter bound as input constraints. The charged-lepton mass matrix is assumed to be diagonal so that the neutrino mixing matrix can be identified directly as the lepton flavor mixing matrix and no CP invariance violation originates from the leptonic sector. The results favor hierarchical patterns for the neutrino masses, which follow from the case when the solar-atmospheric data is used.
Cdx1 and Cdx2 Exhibit Transcriptional Specificity in the Intestine

The caudal-related homeodomain transcription factors Cdx1 and Cdx2 are expressed in the developing endoderm with expression persisting into adulthood. Cdx1−/− mutants are viable and fertile and display no overt intestinal phenotype. Cdx2 null mutants are peri-implantation lethal; however, conditional mutation approaches have revealed that Cdx2 is required for patterning the intestinal epithelium and specification of the colon. Cdx2 is also necessary for homeostasis of the intestinal tract in the adult, where Cdx1 and Cdx2 appear to functionally overlap in the distal colon, but not during intestinal development. Cdx1 and Cdx2 exhibit complete overlap of expression in the intestine, although they differ in their relative levels, with Cdx1 maximal in the distal colon and Cdx2 peaking in the proximal cecum. Moreover, Cdx1 protein is graded along the crypt-villus axis, being abundant in the crypts and diminishing towards the villi. Cdx2 is expressed uniformly along this axis, but is differentially phosphorylated; the functional relevance of these expression domains and phosphorylation is currently unknown. Cdx1 and Cdx2 have been suggested to exhibit functional specificity in the intestinal tract. In the present study, using cell-based models, we found that relative to Cdx1, Cdx2 was significantly less potent at effecting a transcriptional response from the Cdx1 promoter, a known Cdx target gene. We subsequently assessed this relationship in vivo using a “gene swap” approach and found that Cdx2 cannot substitute for Cdx1 in this autoregulatory loop. This is in marked contrast with the ability of Cdx2 to support Cdx1 expression and function in paraxial mesoderm and vertebral patterning, thus providing novel in vivo evidence of context-dependent transcriptional specificity between these transcription factors.