Miracle-dz/UniFAR-FTUs huggingface dataset:
The Design and Implementation of Campus Navigation System: EasyNav

In this paper we present the design and the implementation of a Chinese spoken language dialogue system named EasyNav which is for Tsinghua University Campus Navigation. By analyzing the features and requirements of spoken language dialogue system, we design a rule based language understanding procedure that is suitable to it. The syntactic parser applies the GLR algorithm to process the Context Free Grammar(CFG), whose purpose is to extract features of syntactic structure for use by the semantic parser. The syntactic grammar is designed for the trade off between the coverage and the accuracy. The semantic parser matches sentence templates with syntactic constraints, so as to find speaker′s intention. The semantic parser resolves the ambiguity induced by the syntactic parser. The advantage of the design is that the system can be easy to construct and extend.
A Domain-independent Dictionary-free Lexical Acquisition Model For Chinese Document

A domain independent dictionary free lexical acquisition model is presented in this paper,which introduces a self increasing algorithm to acquire the co occurrence patterns of Chinese characters,and introduces some criteria such as support and confidence to filter these co occurrence patterns to get lexical items.Experiments show that it can acquire lexical items with high frequency effectively and efficiently without the support of the dictionary and the supervised learning in term of corpus.The model proposed in this paper particularly suits for lexical frequency sensitive but time critical Chinese information processing applications,such as real time automatic Chinese text classification systems.
Elimination Algorithm for Unwanted Web Pages on the Web to Obtain Optimized Search & Query Results

In this paper we discuss the issue of unwanted web pages which are returned as a result of a query on the web at length. This problem is addressed by providing three methodologies. The three methods use the concept of adjacency matrix and perform different computations on it because of which they get different time and space complexities. The results of these methods show that the time needed to obtain the query results is reduced significantly. Hence they provide a better search result for a search query.
Chinese Semantic Relation Extraction Based on Unified Syntactic and Entity Semantic Tree

This paper proposes a convolution tree kernel-based approach to Chinese semantic relation extraction.It constructs a unified syntactic and entity semantic tree by incorporating entity semantic information,such as entity type,entity subtype and mention type etc.,into the structural information of a relation instance.The motivation behind this approach is to effectively capture both the structural and entity semantic information in a unified way in order to boost the predictive performance of relation extraction.Evaluation on the ACE RDC 2005 Chinese benchmark corpus shows that our method significantly improves the performance of Chinese semantic relation extraction,specifically achieving the highest F-measure of 67.0 on the top-level relation extraction,and exhibits the complementation of the structure of syntactic information and semantic information in Chinese Semantic Relation Extraction.
Applications of Cyclic Sulfates of vic-Diols: Synthesis of Episulfides, Olefins, and Thio Sugars

A new efficient and expeditious one-pot synthesis of thiiranes and olefins from cyclic sulfates of vic-diols is described. Opening of cyclic sulfates with potassium thioacetate or potassium thiocyanate followed by treatment with sodium methoxide led to episulfides. Olefins were obtained when potassium selenocyanate was used as nucleophile, and the obtained monoesters were treated with sodium borohydride. This method was applied to acyclic polyols derived from chiral glycerine, 1,2-isopropylidenehexofuranoses with different subtituents at C-3, and dimethyl acetals derived from pentoses and hexoses. The methodology is highly versatile, and its applicability has been demonstrated by the synthesis of different 4- and 5-thiosugars by opening of the thiirane ring with sodium acetate or lithium aluminum hydride. Reduction with lithium aluminum hydride of the thiocyanate sulfate potassium salt obtained by the opening of cyclic sulfate with KSCN allowed the direct synthesis of 5-deoxy-4-thio- and 6-deoxy-5-thiosug.
Study on Problem Decomposition of Problem Solving Process in Hall for Workshop of Metasynthetic Engineering

To solve the complicated decision-making problem by hall for workshop of metasynthetic engineering (HWME) requires that the complex problem should be decomposed first. Most of recent studies have been focused on task decomposition in the sense of workflow. On the base of the particularity of problem decomposition in HWME, an adaptive model and algorithm for complicated decision-making problem solving in HWME was proposed, and a mathematical model for problem decomposition in expert group was discussed. Practices show that large-scale modification can be avoided and the structured process of complicated decision-making problem can be accelerated in this method.
Encryption Schemes with Hyper-Complex Number Systems and Their Hardware-Oriented Implementation

Quaternion Encryption Scheme (QES) is shown to be susceptible to the Known Plaintext-Ciphertext Attack (KPCA) due to improper choice of frame size and the procedure of secret quaternion updating. In this chapter, the authors propose a modification of the QES (M-QES) that is resistant to the KPCA. The M-QES is based on adjusting the frame size and the quaternion update procedure. An approach for effective hardware implementation of the proposed algorithm, HW-QES, is discussed. The HW-QES uses addition and shift operations. Extension of quaternion approach to another hyper-complex number systems, octonions, is used for designing a new hardware-oriented encryption algorithm, HW-OES. Experimental results show that the proposed M-QES and HW-QES are six-eight times more effective in the encryption quality of signals than the original QES. Additionally, M-QES and HW-OES are shown to be significantly more effective in the encryption quality of images than the original QES and well-known AES. The results show that the performance of the HW-QES is only 10% worse than that of QES.
DATA COMPRESSION AND PANORAMIC IMAGES FORMATION IN UAV MILITARY TV-MONITORING SYSTEM

UAVs are unmanned aerial vehicles. UAVs with qualities of robots are called "drones" and are used mostly for acquisition and transmission of TV image for observation missions in enemy territories or guarding of objects and large land areas. TV images acquired by these drones are converted into compressed data and then transmitted to the ground via radio - communications. If the monitored area is large or the observed object is big, then more drones buy pieces from the total image. The paper shows the results of the analysis of experimental data compression standard methods and Method of panoramic images formation in the conditions of initial frames with low detail is offered. Method saves perspective of base frame.
Verification of Network Simulators : The good, the bad and the ugly

The purpose of a simulation is to try to get an indication on how a given system will behave in a range of different scenarios. For this kind of research to have any value, it is important that the simulator models reality in a reliable way. In this thesis, we have chosen a common test suite through which we evaluate the TCP functionality of three major opensource simulators: ns-2, ns-3 and OMNeT++. As our set of test cases, we have used the TCP evaluation suite, which is meant to become a standardized test suite for evaluating TCP extensions. The suite already exists for ns-2, while we have implemented elements of the suite in both ns3, and in OMNeT++. As a consequence of this, we have had to implement the tmix traffic generator as well for OMNeT++, and we have also worked on improving tmix for ns-3. These implementations of the test suite lead to some interesting observations regarding the TCP functionality of each network simulator. Through working with the test suite however, we have revealed several weaknesses in it. We have identified a range of items that need improvement before the test suite may become a useful tool.
Privacy Enrichment In Personalized Web Search

Web search engines are widely used to find certain data among a huge amount of information in a minimal amount of time. Personalized web search is a process of presenting right information to a specific person at right time. In order to provide personalized search results for the users, Web search engines store all the queries which have been submitted by the users and the search results which they have selected in previous searches. Personalized web search have many advantages over normal search, in improving quality of search result. Web search engines profile their users by storing and analyzing their past searches. However, these useful tools also pose a privacy threat to the users. They have reluctance to share their private information, hence wide usage and benefits of personalized web searches not proliferated. The proposed system introduces a framework to generalize user profile based on their queries while respecting their requested privacy requirements.
Neurology In Clinical Practice

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Exercise Testing And Interpretation A Practical Approach

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Crystal structure, DFT and MEP study of (E)-2-[(2-hydroxy-5-methoxybenzylidene)amino]benzonitrile

The asymmetric unit contains two crystallographically independent molecules in which the dihedral angles between the benzene rings are 13.26 (5) and 7.87 (5)°. An intramolecular O—H⋯N hydrogen bonds results in the formation of an S(6) ring motif. In the crystal, molecules are linked by weak C—H⋯O and C—H⋯N hydrogen bonds, forming layers parallel to (011). π–π stacking interactions complete the three-dimensional network.
Classifying Educational Data Using Support Vector Machines: A Supervised Data Mining Technique

With increase in Educational Institutions there is increase in new trends which results in large data. The data is unstructured which need to be transformed into structured form and to find out meaningful information, effective Mining Tools are required. Educational Data Mining helps in facilitating utilization of resources related to student performance, predicting placement results and finding new educational trends. In this paper placement data of students has been taken and classification approach using SVM is followed on training data for predicting results which not only helps educational institutions to improve student placements from extracted knowledge as well enhances the competitive advantage and decision making by applying data mining techniques. SVM is a supervised learning and effective data mining technique to train the data for pattern recognition and predictions.
Medical Imaging Principles Detectors And Electronics

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Current Network Security Technology

Network security is defined as “a set of procedures, practices and technologies for protecting network servers, network users and their surrounding organizations” (Oppliger, 2000, Preface). The need for network security is caused by the introduction of distributed systems, networks, and facilities for data communication. Improved network security is required because of the rapid development of communication networks. Network security is achieved by using softwareand hardware-based solutions and tools. BACKGROUND
The Pitfalls of Benchmarking with Applications

Application benchmarking is a widely trusted method of performance evaluation. Compiler developers rely on them to assess the correctness and performance of their optimizations; computer vendors use them to compare their respective machines; processor architects run them to tune innovative features, and — to a lesser extent — to validate their correctness. Benchmarks must reflect actual workloads of interest, and return a synthetic measure of “performance”. Often, benchmarks are simply a collection of real-world applications run as black boxes. We identify a number of pitfalls that derive from using applications as benchmarks, and we illustrate them with a popular, freely available, benchmark suite. In particular, we advocate the fact that correctness should be defined by an expert of the application domain, and the test should be integrated in the benchmark.
Rf Microwave Circuit Design For Wireless Applications

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A dropout distribution model on deep networks

Dropout is proved to have a good ability of controlling overfitting and improving deep networks’ generalization. However, dropout adopts a constant rate to train the parameters of each layer, reducing the classification accuracy and efficiency. Aiming at this problem, the paper proposes a dropout rate distribution model by analyzing the relationship between the dropout rate and the layers of the deep network. First, we gave the formal description of the dropout rate to reveal the relationship between the dropout rate and the layers of the deep network. Second, we proposed a distribution model for determining the dropout rate in each layer training. Experiments are performed on MNIST and CIFAR-10 datasets to evaluate the performance of the proposed model by comparison with networks of constant dropout rates. Experimental results demonstrate that our proposed model performs better than the conventional dropout in classification accuracy and efficiency.
Wino dark matter under siege

A fermion triplet of SU(2)L — a wino — is a well-motivated dark matter candidate. This work shows that present-day wino annihilations are constrained by indirect detection experiments, with the strongest limits coming from H.E. S.S. and Fermi. The bounds on wino dark matter are presented as a function of mass for two scenarios: thermal (winos constitute a subdominant component of the dark matter for masses less than 3.1 TeV) and non-thermal (winos comprise all the dark matter). Assuming the NFW halo model, the H.E. S.S. search for gamma-ray lines excludes the 3.1 TeV thermal wino; the combined H.E. S.S. and Fermi results completely exclude the non-thermal scenario. Uncertainties in the exclusions are explored. Indirect detection may provide the only probe for models of anomaly plus gravity mediation where the wino is the lightest superpartner and scalars reside at the 100 TeV scale.
DEVELOPMENT OF A MATHEMATICAL PROCEDURE FOR MODELLING AND INSPECTING COMPLEX SURFACES FOR MEASUREMENT PROCESS

The design and the manufacture of free form surfaces are being a current practice in the industry. Thus the problem of the parts conformity of complex geometry is felt more and more. By this work, a mathematical procedure for modelling and inspecting complex surfaces in measurement process is presented including the correction of geometrical deviations within manufacturing process. The method is based on the Iterative Closest Point (I.C.P.) algorithm for alignment stage between nominal surface and measured points. The finite elements method for geometric compensation STL model generally obtained by a triangulation of nominal model using Computer Aided Design (CAD) software; is used in our proposal. An industrial application concerning a rapid prototyping technology process is presented. This last is used for manufacturing of real parts obtained from a STL file format.
The Bilingual Server System: A Queueing Model Featuring Fully And Partially Qualified Servers

AbstractNumerous organizations are required to provide service in two languages in the same local area. Within each such region, one language (the majority language) predominates, but adequate service in the second (the minority language) must be maintained. The servers hired by the organization either speak both languages (bilingual), or only speak the majority language (unilingual). This paper presents a server provisioning scenario for handling this mix of traffic. The queueing model for this problem is then presented. Performance measures that are derived include the average queueing delays, the queue length distribution, and the probability of a language mismatch for a minority language customer. From these, it is possible to find the minimal number of bilingual servers required to maintain “satisfactory” service for the minority-language customers. Numerical examples are given.
Automated L1 identification in English learner essays and its implications for language transfer

This article focuses on automatic text classification which aims at identifying the first language (L1) background of learners of English. A particular question arising in the context of automated L1 identification is whether any features that are informative for a machine learning algorithm relate to L1-specific transfer phenomena. In order to explore this issue further, we discuss the results of a study carried out in the wake of a Native Language Identification Task. The task is based on the TOEFL11 corpus (cf. Blanchard et al. 2013), which involves a sample of 12,100 essays written by participants in the TOEFL® test from 11 different language backgrounds (Arabic, Chinese, French, German, Hindi, Italian, Japanese, Korean, Spanish, Telugu, and Turkish). The article will show our results in automatic L1 detection in the TOEFL11 corpus. These results are discussed in light of relevant transfer features which turned out to be particularly informative for automatic detection of L1 German and L1 Italian.
Automatic Answer Selection Based on Probabilistic Latent Semantic Analysis Model

A novel answer selection method based on topic modeling techniques is proposed to mitigate the issue of question asker's burden of selecting the best answer stemming from too many candidate answers in question answering communities.Aiming at the problem,this paper presents an automatic answer selection based on Probabilistic Latent Semantic Analysis(PLSA) in question answering communities,and accordingly rank candidate answers based on similarity of interest between answers and questions.Experimental results show that the method can effectively excavation user interest and improve the accuracy of answer selection.
Magic wavelengths for the 6 s 2 1 S 0 – 6 s 6 p 3 P 1 o transition in ytterbium atom

The static and dynamic electric dipole polarizabilities of the 6 s 2 1 S 0 and 6 s 6 p 3 P 1 o states of Yb are calculated by using the relativistic ab initio method. Focusing on the red detuning region to the 6 s 2 1 S 0 – 6 s 6 p 3 P 1 o transition, we find two magic wavelengths at 1035.7(2) and 612.9(2) nm for the 6 s 2 1 S 0 – 6 s 6 p 3 P 1 o , M J = 0 transition and three magic wavelengths at 1517.68(6), 1036.0(3) and 858(12) nm for the 6 s 2 1 S 0 – 6 s 6 p 3 P 1 o , M J = ± 1 transitions. Such magic wavelengths are of particular interest for attaining the state-insensitive cooling, trapping, and quantum manipulation of neutral Yb atom.
Distributed Positioning Algorithm in Ad Hoc Network

Positioning technology in Ad Hoc networks has been greatly improved in recent years and that distributed positioning is made to be quite an important capability of the nodes in networks.The development and basic principles of the distributed positioning technology as well as some popular algorithms are presented in this paper.Particularly,the analysis and comparison for three DV(distance vector)-based algorithms:DV-Hop、DV-Distance and Euclidean algorithm is also presented with simulation of these three algorithms in OPNET,finding their advantages and disadvantages with the simulation results.
Handbook Of Computer Vision And Applications

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