Miracle-dz/UniFAR-FTUs huggingface dataset:
Computer-aided maintenance and renewal of track

An approach is described for analyzing the deterioration of track components, and methods are suggested for helping the engineer decide when maintenance is necessary and when is the best time for renewal. The data needed for proper monitoring of various types of track deterioration are discussed. Where techniques for predicting deterioration and failure exist they are described. Suggestions are made as to how these predictive techniques could be used to help maintenance and renewal decisions. <<ETX>>
3D Environment Mapping Using the Kinect V2 and Path Planning Based on RRT Algorithms

This paper describes a 3D path planning system that is able to provide a solution trajectory for the automatic control of a robot. The proposed system uses a point cloud obtained from the robot workspace, with a Kinect V2 sensor to identify the interest regions and the obstacles of the environment. Our proposal includes a collision-free path planner based on the Rapidly-exploring Random Trees variant (RRT*), for a safe and optimal navigation of robots in 3D spaces. Results on RGB-D segmentation and recognition, point cloud processing, and comparisons between different RRT* algorithms, are presented.
Enhancing mpi with modern networking mechanisms in cluster interconnects

Advances in CPU and networking technologies make it appealing to aggregate commodity compute nodes into ultra-scale clusters. But the performance achievable is highly dependent on how tightly their components are integrated together. The ever-increasing size of clusters and applications running over them leads to dramatic changes in the requirements. These include at least scalable resource management, fault tolerance process control, scalable collective communication, as well as high performance and scalable parallel IO. Message Passing Interface (MPI) is the de facto standard for the development of parallel applications. There are many research efforts actively studying how to leverage the best performance of the underlying systems and present to the end applications. In this dissertation, we exploit various modern networking mechanisms from the contemporary interconnects and integrate them into MPI implementations to enhance their performance and scalability. In particular, we have leveraged the novel features available from InfiniBand, Quadrics and Myrinet to provide scalable startup, adaptive connection management, scalable collective operations, as well as high performance parallel IO. We have also designed a parallel Check-point/Restart framework to provide transparent fault tolerance to parallel applications. Through this dissertation, we have demonstrated that modern networking mechanisms can be integrated into communication and IO subsystems for enhancing the scalability, performance and reliability of MPI implementations. Some of the research results have been incorporated into production MPI software releases such as MVAPICH/MVAPICH2 and LA-MPI. This dissertation has showcased and shed light on where and how to enhance the design of parallel communication subsystems to meet the current and upcoming requirements of large-scale clusters, as well as high end computing environments in general.
JIT-Compilation for Interactive Scientific Visualization

Due to the proliferation of mobile devices and cloud computing, remote simulation and visualization have become increasingly important. In order to reduce bandwidth and (de)serialization costs, and to improve mobile battery life, we examine the performance and bandwidth beneﬁts of using an optimizing query compiler for remote post-processing of interactive and in-situ simulations. We conduct a detailed analysis of streaming performance for interactive simulations. By evaluating pre-compiled expressions and only sending one calculated ﬁeld instead of the raw simulation results, we reduce the amount of data transmitted over the network by up to 2 / 3 for our test cases. A CPU and a GPU version of the query compiler are implemented and evaluated. The latter is used to additionally reduce PCIe bus bandwidth costs and provides an improvement of over 70% relative to the CPU implementation when using a GPU-based simulation back-end.
Pragmatic meaning in contrast: semantic prosodies of Slovene and English

ABSTRACT The paper discusses semantic prosody in a cross-linguistics setting. Although the term semantic prosody itself has only been around for over two decades, it has managed to create quite a stir in the lexicological community. After a brief presentation of the central tenets of the field and their authors, the practical part of this paper features a Sinclairian analysis of several Slovene extended units of meaning and their English translation equivalents. The role of semantic prosody in the meaning-forming process will be evaluated, as well as its impact on translation equivalence. In the end the paper also addresses the influence of mistranslated semantic prosody on communication.
Design and Implementation of an IPv6 Plugin for the Snort Intrusion Detection System

This work describes the implementation and use of a preprocessor module for the popular open source Intrusion Detection System Snort that detects attacks against the IPv6 Neighbor Discovery Protocol. The implementation utilizes the existing preprocessor APIs for the extension of Snort and provides several new IPv6-specific rule options that can be used to define IPv6 related attack signatures. The developed module is aimed at the detection of suspicious activity in local IPv6 networks and can detect misconfigured network elements, as well as malicious activities from attackers on the network.
Motor Imagery EEG Recognition Based on Incremental Semi-supervised Biomimetic Pattern Recognition

In order to solve the problem that how to make full use of the unlabeled samples to promote recognition accuracy due to high cost acquisition of data in BCI research,biomimetic pattern recognition(BPR) was combined with semi-supervised learning algorithm on the basis of the Bagging algorithm framework,and a novel Incremental Semi-Supervised Biomimetic Pattern Recognition(BPR-ISSL) was proposed in this work.We conducted off-line analysis and simulative on-line experiments on the datasets from previous brain-computer interface competitions and real on-line experiments on actual on-line EEG data to test the accuracy and efficiency of the proposed algorithm.Comparing with those of improved BPR,SVM-ISSL and BP-ISSL,the BPR-ISSL showed that higher accuracy(3% higher in average) in reference to those of the other three algorithms,especially with the sufficient samples.Furthermore,it has a better anti-over-learning ability and stability according to standard deviation.
Interferometry And Synthesis In Radio Astronomy

Thank you for reading interferometry and synthesis in radio astronomy. As you may know, people have look numerous times for their favorite novels like this interferometry and synthesis in radio astronomy, but end up in malicious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they are facing with some malicious virus inside their computer. interferometry and synthesis in radio astronomy is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers spans in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the interferometry and synthesis in radio astronomy is universally compatible with any devices to read.
Research on interactive virtual presentation technology based on Virtools

Aims at the state and specialties of virtual presentation in present E-Commerce,and puts forward interactive virtual presentation technology based on Virtools platform.The research focuses on the manufacture flow of virtual presentation and the implementation methods,then sets gear pump for example.Finally realizes the interactive and dynamics 3D model of virtual presentation products on web page.The application proves that the research can improve the effect of information transfer.
Numerical Simulation Studies on the Process of Machining of Shafts with Low Rigidity

The paper presents a computer program developed for the determination of the basic dynamic characteristics of the process of machining, numerical simulations of the dynamic system of the process of machining, and graphic presentations of the numerical simulations performed. Results of simulations of the runs of time and frequency characteristics of the process of machining with variable machining parameters are presented. High goodness-of-fit of the model with the actual process of turning was achieved.
A Modified Playfair Cipher for Encrypting Digital Images

In this paper, a new extension of the Playfair cipher algorithm is proposed to encrypt image data more securely. The proposed method constructs a 16×16 secret key matrix to scramble image data byte by byte. In addition, the algorithm complexity is increased using masking and XOR procedure. That is, the key is used to generate a mask that is subsequently XORed with the scrambled image. Experimental results showed that using two slightly different secret keys, the resultant encrypted images are still completely different.
Dynamic Economic Dispatch for Power Generation Using Hybrid optimization Algorithm

Dynamic Economic Dispatch (DED) problem is one of the most important ones in power system operation and planning. The main objective of the DED problems is to determine the optimal combination of power outputs of all generating units so as to meet the required demand at minimum cost while satisfying the all constraints. Conventionally, the cost function for each unit in DED problems has been approximately represented by a quadratic function and is solved using mathematical programming techniques. Commonly, these mathematical methods require some marginal cost information to find the global optimal solution. This paper proposes the evolutionary optimization technique namely Hybrid Genetic Algorithm-particle swarm optimization (HGAPSO), which is generic population based probabilistic search optimization algorithm using 6 bus system and can be applied to real world problem are respectively applied to solve an DED problem. KEYWORDS—Dynamic economic dispatch (DED), Hybrid Genetic Algorithm and Particle Swarm Optimization
The BIUTTE Research Platform for Transformation-based Textual Entailment Recognition

Recent progress in research of the Recognizing Textual Entailment (RTE) task shows a constantly-increasing level of complexity in this research field. A way to avoid having this complexity becoming a barrier for researchers, especially for new-comers in the field, is to provide a freely available RTE system with a high level of flexibility and extensibility. In this paper, we introduce our RTE system, BiuTee2, and suggest it as an effective research framework for RTE. In particular, BiuTee follows the prominent transformation-based paradigm for RTE, and offers an accessible platform for research within this approach. We describe each of BiuTee’s components and point out the mechanisms and properties which directly support adaptations and integration of new components. In addition, we describe BiuTee’s visual tracing tool, which provides notable assistance for researchers in refining and “debugging” their knowledge resources and inference components.
Dont Count On It

Thank you for reading dont count on it. As you may know, people have look hundreds times for their favorite books like this dont count on it, 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 infectious virus inside their desktop computer. dont count on it is available in our book collection an online access to it is set as public so you can get it instantly. Our books collection spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the dont count on it is universally compatible with any devices to read.
The Determinants of Total it Outsourcing: An Empirical Investigation of French and German Firms

An increasingly large number of firms outsource their Information Technology (IT) to outside vendors. Firms that contemplate IT outsourcing have two alternatives: (1) outsource part of their IT activity (i.e., “selective outsourcing”) or (2) outsource their entire IT activity (i.e., “total outsourcing”). It has been repeatedly reported that total IT outsourcing efforts have far lower success rates than selective ones. Using primary data collected both in France and Germany, we investigate the reasons why some firms engage in this apparently sub-optimal practice.
Design of the Calibrating Module on Video Quality Measurement

A calibrating module which can enhance the accuracy of full reference objective assessment arithmetic is designed,by analyzing the statistics of the result of the subjective measurement and using the worst sequence as the reference to separate the interval of the score of objective assessment.It can greatly improve the performance of the method,and obtain the objective result most closely to the subjective assessment result.In the experiment,the results of PSNR after using the calibrating module,and validate the feasibility of this method are analyzed.
Named Entities for Computational Linguistics: Nouvel/Named Entities for Computational Linguistics

One of the challenges brought on by the digital revolution of the recent decades is the mechanism by which information carried by texts can be extracted in order to access its contents. The processing of named entities remains a very active area of research, which plays a central role in natural language processing technologies and their applications. Named entity recognition, a tool used in information extraction tasks, focuses on recognizing small pieces of information in order to extract information on a larger scale. The authors use written text and examples in French and English to present the necessary elements for the readers to familiarize themselves with the main concepts related to named entities and to discover the problems associated with them, as well as the methods available in practice for solving these issues.
Cell equalization scheme with energy transferring capacitance for series connected battery strings

A new bidirectional nondissipative battery equalization scheme for the series battery strings is proposed in this paper. The proposed scheme comprises a converter circuit with an energy transferring capacitor, which can be used to design the bidirectional nondissipative current diverter for the battery balancing system. Simulation and experimental results show that the proposed battery equalization scheme can balance the voltage of the battery strings and increase the equalizing efficiency. Furthermore. the equalization scheme can be designed as a ripple-free converter for improving the input current distortion of the battery charging power system.
Mastering SQL Server 2008

As Microsoft’s bestselling database manager, SQL Server is highly flexible and customizable, and has excellent support—the 2008 version offers several significant new capabilities. This book offers accurate and expert coverage on the updates to SQL Server 2008 such as its enhanced security; the ability to encrypt an entire database, data files, and log files without the need for application changes; a scalable infrastructure that can manage reports and analysis of any size and complexity; and its extensive performance data collection.
Computational simulations of protein-ligand molecular recognition via enhanced samplings, free energy calculations and applications to structure-based drug design.

The objective of this dissertation is to understand the underlying intermolecular interactions between disease-causing proteins and anti-disease small-molecule drugs (also known as ligands) through computational methodologies. The insight gained into protein-ligand molecular recognition in terms of structural and energetic complementarities can be rationally utilized for ef cient drug discovery, i.e., structurebased drug design (SBDD), to treat diseases caused by speci c proteins, including cancers caused by dimerization of survivin (Chapter 2) and of STAT3 (Chapters 4 and 5), and a degenerative, cataract-inducing eye disease caused by misfolding of γS-crystallin (Chapter 3). Protein structures are not static in the body; thus, a single structure cannot fully represent a protein's characteristics. Proteins in aqueous environments have ensemble structures that range from small-scale variations, such as ligand-induced conformational changes (Chapter 2), to large-scale variations, such as protein unfolding and denaturation (Chapter 3). A non-Boltzmann ensemble distribution (`Generalized Boltzmann distribution') can be realized through enhanced sampling methods which help to overcome the pre-existing free energy barriers along the potential energy surface, allowing a wide range of protein structure conformations to be sampled. The extraction of an essential reaction coordinate that constitutes a protein reaction pathway, followed by the construction of a Potential of Mean Force (PMF: the free
An Investigation of the Eectiveness of Concept-based Approach in Medical Information Retrieval GRIUM @ CLEF2014eHealthTask 3

In our participation in the CLEF 2014 eHealth task 3a, we in- vestigate the eectiveness of concept-based retrieval techniques on med- ical IR. Concepts are determined using the existing resources and tools: UMLS Metathesaurus and MetaMap. We tested several methods based on concepts. Although some of these methods lead to slight improve- ments in retrieval eectiveness over a traditional bag-of-words method, the impact of the rich domain ressource is lower than we expected. So the whole question on whether and how such a resource can help improve medical IR eectiveness remains open. In this report, we describe the methods tested as well as their results.
Based on the Improved Fusion Algorithm of Wavelet Image Contrast and Canny Operator

Aiming at the visual effect and the fusion quality is poor of the traditional image fusion algorithm, the new fusion algorithm is adopted that combining the Canny operator with taking big window contrast. The algorithm uses wavelet transform to the original images are decomposed firstly, the process will be based on the frequency characteristics of the image information to form two pieces of information, low frequency and high frequency information. Low frequency subband uses weighted average fusion algorithm, while high frequency subband uses the algorithm which combines Canny operator with taking big window contrast, the last fusion image is got from the wavelet reconstruction in contrast to the principle of wavelet decomposition . The corresponding simulation analysis was carried out on the fusion algorithm, and the visual effect is more clear. Also the object evaluation standard increased significantly.
Modified LZW Compression Algorithm Based on BWT and Its Appilication to Sensor Networks

Limited energy in sensor networks,it is not suit for direct transportation of data which is needed to compressed.Limited by the loss compression,an improved lossless compression algorithm B-LZW was put forward based on data block and BWT(Burrows-Wheeler-Transformation) concept,which keeps the network data intact.Compared with the traditional LZW(Lempel-Ziv-Welch) algorithm through empirical entropy analysis and test validation.It is concluded that the proposed algorithm can effectively release the burden,reduce loss rate of data,increase the compression rate by 2.75%～3%,save network energy and further prolong the life of the network.
Implementation of Decentralized Formation Control on Multi-Quadrotor Systems

We present real-time autonomous implementations of a practical distributed formation control scheme for a multi-quadrotor system for two different cases: parameters of linearized dynamics are exactly known, and uncertain system parameters. For first case, we design a hierarchical, decentralized controller based on the leader-follower formation approach to control a multi-quadrotor swarm in rigid formation motion. The proposed control approach has a two-level structure: high-level and low-level. At the high level, a distributed control scheme is designed with respect to the relative and global position information of the quadrotor vehicles. In the low-level, we analyze each single quadrotor control design in three parts. The first is a linear quadratic controller for the pitch and roll dynamics of quadrotors. The second is proportional controller for the yaw motion. The third is proportional-integral-derivative controller in altitude model. For the second case, where inertial uncertainties in the pitch and roll dynamics of quadrotors are considered, we design an on-line parameter estimation with the least squares approach, keeping the yaw, altitude and the high-level controllers the same as the first case. An adaptive linear quadratic controller is then designed to be used with lookup table based on the estimation of uncertain parameters. Additionally, we study on enhancement of self and inter-agent relative localization of the quadrotor agents using a single-view distance-estimation based localization methodology as a practical and inexpensive tool to be used in indoor environments for future works. Throughout the formation control implementations, the controllers successfully satisfy the objective of formation maintenance for non-adaptive and adaptive cases. Simulations and experimental results are presented considering various scenarios, and positive results obtained for the effectiveness of our algorithm.
Three-layered routing protocol for WSN based on LEACH algorithm

Due to the limitation of power and memory size for WSN (wireless sensor networks), the routing protocol of wireless sensor networks must maintain small routing information and reduce the power consumption as much as possible. LEACH (low-energy adaptive clustering hierarchy) protocol and PEGASIS (power-efficient gathering in sensor information systems) protocol are analyzed firstly in this paper. Use for reference of the ideas used in both of the two protocols of reducing power dissipation, a three-layered routing protocol for WSN based on LEACH (TL-LEACH) is given. Then, this improved LEACH protocol is simulated and the simulation results show that TL-LEACH protocol is with greatly improved WSN lifetime than LEACH protocol.