Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-time Video Detection Based on Local Accumulative Histogram in Non-equational Similar Hue Region of Partition

A new real-time video detecting algorithm is presented based on local accumulative histogram in non-equational similar hue region of partition. Then an advertisement real-time detecting and statistic system is designed and realized by application of the algorithm. The algorithm is experimentally proved real-time well, detecting efficient high, and has higher utility.
VideoClipQuests as an E-Learning Pattern

VideoClipQuests (VCQs) are a teaching-learning approach focused on the learner’s self-activity while information is collected by searching the Internet, similar (but far from identical) to the well-established concept of WebQuests. They also share some of the key ideas of Anchored Instruction while being much easier to handle and adapt. Basically, a VCQ consists of a video clip embedded into a web page and one or more tasks that are related to the video. The central idea is to avoid the fundamental terms of the subject dealt with. In other words, the task must be verbalized in such a way that it cannot be completely understood without watching the video–an approach called “Mask the Task” in this chapter. In order to perform the task, the learner has to watch the video and look for a first cue as a starting point. Only with this cue is it possible to completely understand the task and to go after the solution. From a psychological point of view, a VCQ confronts the learners with an insolvable task that they want to transfer into a solvable one. In such a situation, motivation can evolve easily, which is one of the main driving forces of learning.
Biotooth – A Dream or Reality

Loss of a tooth has a huge psychological effects as it adversely affects esthetics of one's face along with the mouth functions. Replacement of missing or damaged teeth usually involves fixed or removable prostheses or dental implants. The use of dental implants is the most rapidly growing area of dentistry. But these current treatment methods can, sometimes, reduce the quality of life because of their limited physiological function, or elicit an immunological rejection. Implants are more difficult and less successful when tooth loss is accompanied by bone loss. Here, this article outlines the current approaches toward the tooth regeneration, and focuses on several key challenges that must be met in the making of a bio-tooth. Key Words: Implants, Stem cells, Biotooth, Tissue engineering
Emergency resources scheduling on continuous consumption system based on particle swarm optimization

Taking the continuous consumption emergency system as background,a multi-objective emergency-resource scheduling model is established,which satisfies the emergency needs as many as possible.Considering the actual application situation and the original transport volume of emergency resources from every rescue spot,the objective function of the model covering dual sides,such as rescue cost from emergency system and the losses caused by not be rescued in time is established.In the light of the characteristic of the model,the solving procedure and its steps based on particle swarm algorithm are designed.Therefore one step solution is realized.A data example verifies the model's rationality,and the feasibility and the validity of using the particle swarm algorithm here.
An Introduction To Mathematical Physics

Thank you very much for reading an introduction to mathematical physics. Maybe you have knowledge that, people have search numerous times for their chosen readings like this an introduction to mathematical physics, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some malicious virus inside their desktop computer. an introduction to mathematical physics is available in our book collection an online access to it is set as public so you can get it instantly. Our digital library saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the an introduction to mathematical physics is universally compatible with any devices to read.
On-demand Service Discovery Method of Networked Software

It is very important how to find the best service resources which meet to users' requirement and has high quality of service to construct networked software and improve users' quality of experience,according to diverse,individual and vague users' requirements of networked software.This paper proposed an on-demand service discovery method of networked software.First of all,according to specific domain,specific requirement instance and service resources were be marked by domain ontology.Then,a semantic matching model which consists of basic,function and QoS matching phase was built.This three phases gradually increase with predetermined-threshold judgment.Finally the best service resources which meet to users' requirement were found to construct networked software.Based on logistics field,the experiment was done for performance comparison testing,and the results indicated that this method can improve the matching precision of the requirement and service of networked software,and select the best service resources to construct networked software.
Gibbon: A Wearable Device for Pointing Gesture Recognition.

ZHAO, YANGLEI. Gibbon: A Wearable Device for Pointing Gesture Recognition. (Under the direction of Robert St. Amant.) Gestures can be observed frequently in daily interactions of human beings. Because of their naturalness and intuitiveness, gestures as have gained attention as an input method in human-computer interaction and related fields of research during the last few decades. Pointing gestures can naturally and effortlessly convey directional information. They can be be carried out for pointing and selection tasks in virtual reality and similar environments. Extraction of information revealed in pointing gestures should in principle allow more effective interactive systems to be built. Several vision-based gesture recognition systems have been developed for pointing in three-dimensional space; others employ non-vision motion sensors for pointing in twodimensional space. The work presented in this thesis focuses on the use of wearable devices for the extraction of pointing directions in three-dimensional space using nonvision sensors. The device is worn on the hand, with the orientation of the hand being used for the detection and estimation of the direction of pointing gestures. The device employs inertial and magnetic sensors: a three-axis accelerometer, a three-axis gyroscope, and a three-axis magnetometer. An extended Kalman filter is used to estimate the optimal quaternion describing the device orientation based on the sensor output. To control the system, which lacks a clutch, a gesture recognition system based on dynamic time warping is employed. A gesture tapping can be used, for example, to processing for a pointing gesture to be detected. An evaluation of the device for pointing tasks shows accuracy comparable with visionbased systems. Fourteen volunteers participated in the evaluation, each pointing 26 times across 8 targets in a defined sequence. The average angle of error is 13.87°, compared with measurements made by professional surveyors. An adjustment for horizontal and vertical angle can reduce the overall mean error to 8.20°. The evaluation also shows that participants have different mean offsets. This indicates that different adjustments may be applicable on a per participant basis. Results are expected to generalize to pointing with mobile phones. © Copyright 2011 by Yanglei Zhao
Visual Saliency Based Natural Landmarks Detection under Unknown Environments

Natural landmark detection is a basis of mobile robots navigation to represent and recognize unknown environments.A saliency based adaptive natural landmarks detecting system is presented in this paper.Firstly the detail preserving sampling scheme is designed to create multi-scale image spaces where opponencies of color and texture are computed.And the Gabor filter,which can adjust parameters adaptively,is designed to analyze texture of all kinds of environments.At last the saliency map that points out where can be treated as natural landmark is created.Experiments show that this algorithm has better precision on detecting salient points and better repeatability including scale,rotation and viewpoint invariance.
Analytical solution of joint phase and timing synchronizer in tracking mode

In this contribution is outlined a method for an effective solution of the joint phase and timing estimator (JPT) in a tracking mode. Small errors of the phase offset and the delay offset are primary conditions for operation of the JPT synchronizer in the tracking mode. On the other hand these small deviations make it possible to transform this non-linear synchronizer into a general linear system. This paper presents the potential ways to solve this problem and to obtain reasonable results. Theoretical explanations are supported by a plain example.
Robust skin color-based moving object detection for video surveillance

Abstract. Robust skin color-based moving object detection for video surveillance is proposed. The objective of the proposed algorithm is to detect and track the target under complex situations. The proposed framework comprises four stages, which include preprocessing, skin color-based feature detection, feature classification, and target localization and tracking. In the preprocessing stage, the input image frame is smoothed using averaging filter and transformed into YCrCb color space. In skin color detection, skin color regions are detected using Otsu’s method of global thresholding. In the feature classification, histograms of both skin and nonskin regions are constructed and the features are classified into foregrounds and backgrounds based on Bayesian skin color classifier. The foreground skin regions are localized by a connected component labeling process. Finally, the localized foreground skin regions are confirmed as a target by verifying the region properties, and nontarget regions are rejected using the Euler method. At last, the target is tracked by enclosing the bounding box around the target region in all video frames. The experiment was conducted on various publicly available data sets and the performance was evaluated with baseline methods. It evidently shows that the proposed algorithm works well against slowly varying illumination, target rotations, scaling, fast, and abrupt motion changes.
DOA estimation method based on CS-MUSIC algorithm

Direction of arrival(DOA)cannot be estimated accurately by multiple signal classification(MUSIC)algorithm under the condition of less snapshot numbers or the presence of coherent sources,while with the increase of snapshot numbers or the decrease of signal-to-noise ratio,the resolution performance of the compressive sensing(CS)method is not stable enough and the rate of accuracy is limited.A method based on CS and MUSIC is proposed and the abbreviation is called CS-MUSIC.The link between CS and MUSIC for different snapshot numbers is established in the proposed method which constructs a new orthogonal space and achieves sharp peaks.Theoretical analysis and simulation results show that the proposed method has estimation accuracy to overcome the defects of the traditional methods under the condition of different snapshots and it is robust to noise.
Modular design of virtual experiment system based on MVC design model

Based on the investigation of experimentation and aerodynamics theory, live interactive web aerodynamics virtual experiment platform is built up. Using MVC (Model-View-Controller) design pattern, the system has better scalability and ease of maintenance. The platform chooses ActionScript3 as a development tool, focusing on the accumulation of reusable control modules with class binding technology. It's important for the system function expansion and development of other project. The system has all-around functions, strong sense of immersion, hence satisfying the demands of experiment operation trainning and the experiment courses online study.
An Approach for Measuring Semantic Relatedness between Words via Related Terms

In this paper we propose a new approach for measuring semantic relatedness between words. The semantic relatedness between words are not measured directly, but are computed via set of words highly related to them, which we call the set of determiner words. Our approach for evaluating relatedness belongs to web page counting based measurement methods. We take into account some information, which contains hierarchical and other type of relations between the words. The experimental results demonstrate the effectiveness of proposed method.
La literatura en la enseñanza del español como lengua segunda o extranjera

Using literature works in the teaching of second and foreign languages has had a big development in most countries around the world but in Colombia we face a different situation. From this circumstance arises the research question how to use literature works in the teaching of Spanish as a foreign language? In a similar way, from the previous question emerges the general objective “To design didactic material with a strong cultural component oriented to the teaching and learning of Spanish that takes as a core element literary texts by Colombian authors. The research methodology follows the standards of the interpretative or qualitative paradigm, specifically in the practical research approach, the, v LA LITERATURA EN LA ENSEÑANZA DEL ESPAÑOL COMO LENGUA SEGUNDA O EXTRANJERA in the languages learning field, has the purpose to design a product to solve an evidenced need. As a result the booklet Relatos históricos colombianos: guías de lectura para aprendices de español como lengua extranjera, is designed. The booklet contains two didactic guides with a communicative approach for the stories by the Colombian writer Eduardo Caballero Calderón; “La conquista del Dorado” and “Todo por un Florero”. The use of the material is recommended with students who have a level higher to A2 according to the Common European Framework of Reference.
Mining Related Articles for Automatic Journal Cataloging

Abstract Purpose This paper is an investigation of the effectiveness of the method of clustering biomedical journals through mining the content similarity of journal articles. Design/methodology/approach 3,265 journals in PubMed are analyzed based on article content similarity and Web usage, respectively. Comparisons of the two analysis approaches and a citation-based approach are given. Findings Our results suggest that article content similarity is useful for clustering biomedical journals, and the content-similarity-based journal clustering method is more robust and less subject to human factors compared with the usage-based approach and the citation-based approach. Research limitations Our paper currently focuses on clustering journals in the biomedical domain because there are a large volume of freely available resources such as PubMed and MeSH in this field. Further investigation is needed to improve this approach to fit journals in other domains. Practical implications Our results show that it is feasible to catalog biomedical journals by mining the article content similarity. This work is also significant in serving practical needs in research portfolio analysis. Originality/value To the best of our knowledge, we are among the first to report on clustering journals in the biomedical field through mining the article content similarity. This method can be integrated with existing approaches to create a new paradigm for future studies of journal clustering.
ANALYSIS, THEMATIC MAPS AND DATA MINING FROM POINT CLOUD TO ONTOLOGY FOR SOFTWARE DEVELOPMENT

Abstract. The primary purpose of the survey for the restoration of Cultural Heritage is the interpretation of the state of building preservation. For this, the advantages of the remote sensing systems that generate dense point cloud (range-based or image-based) are not limited only to the acquired data. The paper shows that it is possible to extrapolate very useful information in diagnostics using spatial annotation, with the use of algorithms already implemented in open-source software. Generally, the drawing of degradation maps is the result of manual work, so dependent on the subjectivity of the operator. This paper describes a method of extraction and visualization of information, obtained by mathematical procedures, quantitative, repeatable and verifiable. The case study is a part of the east facade of the Eglise collegiale Saint-Maurice also called Notre Dame des Grâces, in Caromb, in southern France. The work was conducted on the matrix of information contained in the point cloud asci format. The first result is the extrapolation of new geometric descriptors. First, we create the digital maps with the calculated quantities. Subsequently, we have moved to semi-quantitative analyses that transform new data into useful information. We have written the algorithms for accurate selection, for the segmentation of point cloud, for automatic calculation of the real surface and the volume. Furthermore, we have created the graph of spatial distribution of the descriptors. This work shows that if we work during the data processing we can transform the point cloud into an enriched database: the use, the management and the data mining is easy, fast and effective for everyone involved in the restoration process.
Three generations of mass selection for growth to 200 days of age in Landrace pigs.

Three generations of selection for increased weight at 70 d of age was practiced in Landrace pigs. Performance records at 70 d were collected on 708 pigs from 47 sires and 105 dams. Each generation, nine boars and 27 gilts with heaviest 70 d weights were selected to produce the next generation of select line pigs. Random selection of one boar from each of the five foundation sire lines and a gilt from each litter was used to maintain the control line. Responses to selection were estimated by regression of generation means adjusted for environmental effects on generation number. Weight at 70 d increased 1.08 + . 47 kg/generation which represented 10.4$ improvement. The realized heritability of 70 d weight was . 27 ± . 12. Selection for heavy weight at 70 d resulted in decreased leanness in the select line carcasses as indicated by the negative regression coefficients for loin eye area (-.58±.23 cm2) anci lean cuts percentage (-.35±.14$) and the positive regression coefficient for lOth-rib backfat thickness (.09±.02 cm).
Software Requirements Specification

Version x.x Team Members: CS 471/472 Date Table of Contents Required – use word processing software to manage it. Introduction (1) This document represents the requirements for PROJECT_NAME. It will be used by the developers to design and implement they system and by the client to specify the system. This document may serve as the basis for a contract between these parties. Purpose (1.1) Describe the need for PROJECT_NAME in one paragraph. NOTE: all lengths given are guidelines – adjust if necessary or ask for advice. Definitions (1.2) Short list of important definitions, e.g. will, shall, item. Put a full list in the appendix (including these) if there are more than 5-­10. Document Conventions (1.3) Any use of fonts/color meaning, etc. References (1.4) This includes things like templates, industry standards, books, etc.
Analysis of Student Performance Using Mining Technique: A Review

Today’s higher education is one of the needs of any students for growing his life.One of the biggest challenges with higher education is thatinstitutions would like to know, which students will enroll in which course, and which students will need more assistance in particular subject and what efforts should be taken for weak students.Data mining is one of the powerful tools to extract knowledge from large educational database and it can be used for decision making in educational system. In this paper data mining techniques such as clustering,Association, Rule mining etc. based work is analyzed which will give direction to the educational institution for improving performances of their students. This review also helps to researchers for choosing appropriate data mining techniques to analyzed student data.
A Study on Overloaded MIMO Signal Detection Using Slab Decoding and Lattice Reduction

As a low complexity signal detection scheme for overloaded multiple-input multiple-output (MIMO) systems, Slab-LR (Lattice Reduction)-MMSE (Minimum Mean Square Error)SIC (Successive Interference Cancellation) has been proposed. In this paper, we propose new selection criteria of some parameters in Slab-LR-MMSE-SIC. In addition, we derive an upper bound of the error probability of Slab-LR-MMSE-SIC and show that it can achieve the same diversity order as the optimal maximum likelihood (ML) detection.
Quality of Services and Optimal Management of Cloud Centers with Different Arrival Modes

In Cloud Computing, the virtualization of IT infrastructure enables consolidation and pooling of IT resources so they are shared over diverse applications to offset the limitation of shrinking resources and growing business needs. Cloud Computing is a way to increase the capacity or add capabilities dynamically without investing in new infrastructure, training new personnel, or licensing new software. It extends Information Technology’s existing capabilities. In the last few years, cloud computing has grown from being a promising business concept to one of the fast growing segments of the IT industry. For the commercial success of this new computing paradigm, the ability to deliver guaranteed Quality of Services is crucial. Based on the Service Level Agreement, the requests are processed in the cloud centers in different modes. This chapter deals with Quality of Services and optimal management of cloud centers with different arrival modes. For this purpose, the authors consider a finite-buffer multi-server queuing system where client requests have different arrival modes. It is assumed that each arrival mode is serviced by one or more virtual machines, and different modes have equal probabilities of receiving services. Various performance measures are obtained and optimal cost policy is presented with numerical results. A genetic algorithm is employed to search optimal values of various parameters for the system. V. Goswami KIIT University, India S. S. Patra KIIT University, India G. B. Mund KIIT University, India
Occurrence of Polyomaviruses in Recreational Freshwaters from Southern Brazil

There is little information about the transmission pathways of polyomaviruses. Since many of them are regularly found in urine and feces, the possibility that the waterborne route could transmit these viruses has not been explored. The aim of this study was to evaluate the presence of human polyomaviruses JCPyV, BKPyV, MCPyV, STLPyV and TSPyV along the Belo River (Caxias do Sul-Rio Grande do Sul-RS, Brazil). Four points were investigated, with 13 monthly samplings (March/2015 - March/2016). A total of 52 samples were concentrated by ultracentrifugation, total genomic material was extracted using commercial extraction kit and human polyomaviruses were investigated through real time polymerase chain reaction. A total of 32/52 (61.5%) positive samples were found. Only JCPyV and BKPyV were identified, and they were present in all sampling points. The average viral load of JCPyV was 7E+05 copies/mL and of BKPyV was 5E+04 copies/mL after particle concentration process. Finding such polyomaviruses in this environment suggests contamination through human waste and reinforce the notion that fecal-oral route may represent an important transmission mode for these viruses.