Miracle-dz/UniFAR-FTUs huggingface dataset:
A comparison of techniques to find mirrored hosts on the WWW

We compare several algorithms for identifying mirrored hosts on the World Wide Web. The algorithms operate on the basis of URL strings and linkage data: the type of information about Web pages easily available from Web proxies and crawlers. Identification of mirrored hosts can improve Web-based information retrieval in several ways: first, by identifying mirrored hosts, search engines can avoid storing and returning duplicate documents. Second, several new information retrieval techniques for the Web make inferences based on the explicit links among hypertext documents—mirroring perturbs their graph model and degrades performance. Third, mirroring information can be used to redirect users to alternate mirror sites to compensate for various failures, and can thus improve the performance of Web browsers and proxies. We evaluated four classes of “top-down” algorithms for detecting mirrored host pairs (that is, algorithms that are based on page attributes such as URL, IP address, and hyperlinks between pages, and not on the page content) on a collection of 140 million URLs (on 230,000 hosts) and their associated connectivity information. Our best approach is one which combines five algorithms and achieved a precision of 0.57 for a recall of 0.86 considering 100,000 ranked host pairs.
Engaging students in an online situated language learning environment

Previous studies have emphasized the relationship between students' engagement and learning performance, and yet the context in which students and the teacher interact to engage each other has been ignored. In order to engage college students who are learning English as a foreign language (EFL) in the context of a big class, this study developed a system, which is an online situated language learning environment, to support the students, the teachers, and the teaching assistants (TAs) to communicate synchronously and asynchronously in and after class. A sample of 118 undergraduate students was recruited to participate in an E-meeting to express their thoughts and opinions toward the drama, and Post an Opinion to predict subsequent scenes in the enfolding plot. Students were also required to take an Assessment online, after reading each episode of the drama. In this study, the behavioral, emotional, and cognitive dimensions of students' intensive and reciprocal engagement were observed and recorded in the system for students to reflect on their language usage and further improve their language learning and for the teachers and the TAs to monitor and identify their students' difficulties and provide further scaffoldings. Students' language learning progress was also revealed through a questionnaire and the pre- and post-tests. Based on the interpretation of the result, suggestions for future studies are also discussed.
A Study of Buffer Management Policies for Data Management Systems.

Abstract : Using a simulation model, several buffer assignment algorithms were investigated experimentally. A simple least-recently-used (LRU) technique was compared with one which took into account the type of data and the number of current users (DS). Also investigated was the use of anticipatory fetching. Performance as a function of the number of available buffers was measured for each strategy. For the application and job mix in question it turns out that anticipatory fetching does not pay, and that DS in general behaves somewhat better than LRU.
Causal Models and Experimentation Strategies in Scientific Reasoning

This study explores how novices' conceptions about electric circuits affected their self-directed experimentation in a computer-based circuit laboratory. The participants, 22 undergraduates with no formal college instruction in physics, worked individually on an initial problem to assess their conceptual models of circuits and in subsequent sessions on open-ended experimentation with the computer laboratory, attempted to rediscover the laws of electric circuits. Analysis of the initial problem identified four conceptual models in students' solutions. Lower level models were local, piecemeal, and represented the surface features of the materials, whereas higher level models were progressively more cohesive, integrated, and principled. Relations were found between students' causal models and their learning gains in the computer laboratory. Good and poor learners with the laboratory were identified; these groups showed strategic differences in goal-directed planning, generating and interpreting evidence, and.
Vehicles for Innovation and Learning: The Case of a Neglected Concept Car Project

This article explores the product development process currently used in the competitive automotive industry. The author contends that the current process is so structured that there is no opportunity for learning and thus developing knowledge and skills to create innovative new products. The concept care is an important arena for learning and creating useful knowledge in the automotive industry. The author offers a detailed analysis of a concept car project (the YCC project) at Volvo Cars, focusing on how this project was also a learning environment. The author also discusses some of the barriers to learning that were demonstrated by the case study. The author argues that there is a need to manage more explicitly the learning opportunities provided by concept car projects in order to leverage on the knowledge created.
tt: Treelet Transform with Stata

The treelet transform is a recent data reduction technique from the field of machine learning. Sharing many similarities with principal component analysis, the treelet transform can reduce a multidimensional dataset to the projections on a small number of directions or components that account for much of the variation in the original data. However, in contrast to principal component analysis, the treelet transform produces sparse components. This can greatly simplify interpretation. I describe the tt Stata add-on for performing the treelet transform. The addon includes a Mata implementation of the treelet transform algorithm alongside other functionality to aid in the practical application of the treelet transform. I demonstrate an example of a basic exploratory data analysis using the tt add-on.
LCSH: Semantics, Syntax and Specificity

SUMMARY This paper looks at changes affecting LCSH over its 100-year history. Adopting a linguistic conceptualization, it frames these changes as relating to the semantics, syntax and pragmatics of the LCSH language. While its category semantics has remained stable over time, the LCSH relational semantics underwent a significant upheaval when a thesaural structure was imposed upon its traditional See and See also structure. Over time the LCSH syntax has become increasingly complex as it has moved from being largely enumerative to in large part synthetic. Until fairly recently the LCSH pragmatics consisted of only one rule, viz, the injunction to assign specific headings. This rule, always controversial, has become even more debated and interpreted with the move to the online environment.
Performance analysis of CDMA-based wireless communication systems using the simplified improved Gaussian approximation method

The limitations initially prevalent in CDMA-based systems have been gradually solved thereby making CDMA a very promising access mode for future communication systems. Following the move towards higher data transmission rates, however, a number of other problems have emerged that need to be tackled. As a result, current world-wide research on CDMA-based systems is geared towards high speed, highly mobile multimedia communication applications. In this paper, the performance of a multi-user DS-CDMA communication system operating in a Rayleigh fading environment is investigated. Performance expressions are derived and the variation of the performance with various system parameters is presented. Tanzania Journal of Science Vol. 30 (2) 2004: pp. 41-52
Critical Analysis of the User Interfaces for the Disabled Community

Human Computer Interaction has always always been oriented towards providing ease of access to the users of the systems. Much work has been done on this area for nondisable person which formulates the largest segment of the commercial population. A lot of effort is required to be made to make technology accessible to the disabled community. The paper discuss several problems associated with individuals with disabilities. Software systems are designed all over the world for disabled, but they lack the luster through which the disable may be motivated to make optimal usage of the technology. Our research provides for the design of an abstract model which can be considered as the baseline foundation on which frameworks for developing Adaptive Intelligent User Interfaces for Disabled may be developed. Such interfaces will not only capture the interest of the disabled individuals but also provide a socio-economic reform, through which the participation of the disabled might be increased, and the use of their intellect may be given a positive direction for the betterment of the Society.
Dynamic near-term traffic flow prediction: system- oriented approach based on past experiences

Short-term prediction is one of the essential elements of intelligent transportation systems (ITS). Although fine prediction methodologies have been reported, most prediction methods with current time-series data lead to inefficient predictions when current or future time-series data either exhibit fluctuations or abruptly change. In order to deal with this problem, a dynamic multi-interval traffic volume prediction model, based on the k-nearest neighbour non-parametric regression (KNN-NPR), is introduced in this study. In an empirical study with real-world data, the input parameters of the proposed model including the k-values for the nearest neighbours in the neighbourhood and the dm-values for the number of lags were optimised according to the multi-interval prediction horizon in order to immediately capture the directionality of the future states and to minimise the prediction errors. The presented model performed effectively in terms of prediction accuracy, despite multi-interval schemes, to the same degree as applications of the real ITS, even if the time-series data abruptly varied or exhibited wide fluctuations. It can clearly be seen that the proposed methodology is one of the promising system-oriented approaches in the area of multi-interval traffic flow forecasting.
Study on Vehicle Stability Control by Using Model Predictive Controller and Tire-road Force Robust Optimal Allocation

The vehicle chassis integrated control system can improve the stability of vehicles under extreme conditions using tire force allocation algorithm, in which, the nonlinearity and uncertainty of tire-road contact condition need to be taken into consideration. Thus, An MPC (Model Predictive Control) controller is designed to obtain the additional steering angle and the additional yaw moment.
Introduction to Social Media in Social Informatics Minitrack

Our minitrack aims to 1) Explore the impacts of social media, such as BBS, Wiki, blog, SNS, twitter and so on, with respect to human behavior and choices in everyday life. 2) Develop the concepts and technologies, such as knowledge creation, data-mining, and so on, for effective sharing of information and knowledge among people by the social media.
Adaptive nonlinear control for end-effector position tracking of multi-link flexible manipulators with embedded active materials

It is well known that the dynamics of multi-link flexible arm from the join actuators to the tip position are non-minimum phase. Therefore, many available adaptive nonlinear control techniques are not applicable to flexible manipulators. In this paper, utilization of extra actuation along the flexible links is considered. Addition of piezoceramic sensors and actuators at proper locations of the arm will yield a minimum phase system. This will allow application of nonlinear feedback methodologies available in the literature. In this paper, experimental results on vibration suppression and end-effector position tracking for a flexible manipulator with embedded piezoceramics are presented. Experimental setups have been developed at Control/Robotics Research Laboratory (CRRL) to study modeling issues and control design approaches for flexible structures with embedded (or surface-mounted) piezoceramics. <<ETX>>
A Novel Secure Inter-Domain Routing for Identifier/Locator Split Network

With the rapid development of the Internet, the de facto inter-domain routing protocol, Border Gateway Protocol (BGP), has become very vulnerable to many attacks. For this, several secure inter-domain protocols have been proposed, most of which are focus on addressing the issue of faking AS path, but cannot address other issues, such as violating routing policies, reachability attacks and so on. Based on the concept of identifier/locator split and routing isolation, we have proposed a secure identifier-based inter-domain Routing, SIR [, which can provide control plane security without using the high overhead mechanism. Then, we here optimize SIR and propose another secure inter-domain routing, Optimized SIR (O-SIR), which introduces a checked path table and records the path which has been checked before in each AS. We present the simulations based on the real world datasets CAIDA and compare the performance between SIR and O-SIR by different deployments and different position of attacks. The results show that O-SIR can reduce 18%-45% communication cost of verifying paths with additional below 0.1% routing table size.
Refinement of the layered titanosilicate AM-1 from single-crystal X-ray diffraction data

The structure of the layered noncentrosymmetric titanosilicate AM-1 (also known as JDF-L1, disodium titanium tetra­silicate dihydrate), Na4Ti2Si8O22·4H2O, grown as small single crystals without the use of organics, has been refined from single-crystal X-ray diffraction data. The H atom has been located for the first time, and the hydrogen-bonding scheme is also characterized by IR and Raman spectroscopy. All atoms are in general positions except for the Na, the Ti, one Ti-bound O, one Si-bound O and the water O atoms (site symmetries 2, 4, 4, 2 and 2, respectively).
Use of a multimedia DVD for Physical Chemistry: analysis of its effectiveness for teaching content and applications to current research and its impact on student views of physical chemistry

In this study, a new multimedia learning tool for physical chemistry was implemented in a class setting, and students’ attitudes and learning gains examined. The Physical Chemistry in Practice (PCIP) DVD contains multimedia modules that provide an in-depth description of the research of eight different scientists. Each module contains a documentary style video program of the researcher and their laboratory, HTML-based background information about the topic, problems for students to work on, and links to related information. The DVD was implemented in a physical chemistry laboratory course where students worked through a module on surface- enhanced Raman spectroscopy (SERS). Data was collected in the form of pre- and post-tests of content knowledge and surveys about attitudes and academic career choices. Students showed statistically significant learning gains after using the DVD and showed an increase in their recognition of the applications of physical chemistry to real problems. Students also showed an increased interest in further study of physical chemistry. [Chem. Educ. Res. Pract. , 2007, 8 (3), 308- 326. ]
The Anti-Diversity Concept for Secure Communication on a Two-Link Compound Channel

We propose new coding schemes for secrecy over a two-link compound channel. Firstly, a non-stochastic scheme is developed based on diversity-deficient LDPC ensembles and a source splitter. Secondly, a stochastic scheme is built from the same splitter with the adjunction of a random sequence. These coding structures achieve perfect secrecy in the algebraic and the information-theoretic sense respectively.
PROCEEDINGS of the HUMAN FACTORS SOCIETY 35th ANNUAL MEETING-1991 DATA BRIDGING: STATISTICAL METHODS FOR INTEGRATING RESULTS ACROSS STUDIES

A procedure is described for integrating data sets from several studies based on a sequential research strategy. A data bridging technique is used so that the results of three previous studies can be combined to build integrated second-order empirical models. The previous studies investigated 10 independent variables, but 16 uninvestigated interactions from the complete set of items in a second-order model were not investigated in these studies. To select the best data points for examining these uninvestigated interactions, the maximization of IX'XI criterion was used. A computer program was developed to calculate the determinant value of X'X matrix for each candidate data point. Each selected data point was then analyzed to determine multicollinearity of the uninvestigated interactions. From these analyses, six additional data points were selected to examine the 16 uninvestigated interactions. Results from six additional data points along with the previous data sets were combined to build second-order empirical models using polynomial regression. The empirical models were then analyzed to choose the best models in terms of statistical properties such as variances of coefficients and prediction variances of the models. This procedure is discussed as a method for integrating data collected through sequential experimentation into an empirical model describing the functional relationships among independent variables. This approach increases the generalizability of data used in the design and evaluation of human factors interfaces which involve a large number of factors.
Visual Performance And Image Coding

Sample spacing and quantization levels are usually chosen for digitizing images such that the eye should not see degradations due to either process. Sample spacing is chosen based on the resolution (or high frequency) limit of the eye and quantization is based on perception of low contrast differences at lower frequencies. This process results in about 8 bit/pixel, 20 pixel/mm digitization, but, being based on two different visual limits, the total number of bits is an overestimate of the information perceived by the eye. The visual MTF can be interpreted in terms of perceptible levels as a function of spatial frequency. We show by this interpretation that the total information perceived by the eye is much less than 8 bits times the number of pixels. We consider the classic halftone as an image coding process, yielding 1 bit/ pixel. This approach indicates that halftones approximate the proper distribution of levels as a function of spatial frequency; therefore we have a possible explanation of why halftone images retain most of the visual quality of the original.
Fast motion estimation based on total least squares for video encoding

In this paper a new fast motion estimation method useful for video encoding in a noisy environment is presented. Motion estimation methods can broadly categorized as Block Matching (BM) methods, Pel Recursive (PR) methods, and Frequency Domain (FD) methods. Majority of the current fast motion estimation methods belong to block matching category. These methods typically achieve speedup by either reducing the number of search locations or by reducing the number of computations at each search location. Our proposed method is based on the pel recursive formulation. However, in order to achieve fast estimation, we operate on a block of pixels. To provide a robust behavior in a noisy environment we use a Total Least Squares (TLS) based estimation scheme which aims at estimating the true motion vectors. The simulation results indicate the speedup and robustness of the algorithm in noisy environment.
A General Framework of Professional Image Processing System Based on UML

The unified modeling language (UML) was introduced to describe the model of the general framework of the professional image processing system (PIPS). The required functions, basic components and working principle of the general framework were discussed and given in the UML. The traditional mode and the novel mode based on the general framework were compared to develop a representative image processing system. Results demonstrate that the amount of person-months of the human resource of various ability levels can be reduced by at least 50%. Compared with traditional mode, the novel mode can improve efficiency, reduce risk and benefit to teamwork by making researchers only focus on the development of kernel modules rather than the other inefficient and repetitive works. This mechanism is also applicable to other similar systems.
A Novel XML-Based Power Resource Modeling Framework for Power System Heterogeneous Data Integrating

This paper proposes a XML-based power heterogeneous data integrating framework. The tool uses XML to describe and model the objects of power system in a similar way with rational database. It helps transform the heterogeneous data belonging to different power organizations to the data with uniform format stored as XML files. The tool can enable the heterogeneous data integrating and exchanging of power system. Thus various distributed application can be developed base on this framework. The practical application proved the efficiency of proposed framework.
Introducing a MATLAB Toolbox for F-Lipschitz Optimization

The theory of mathematical optimization is useful within a wide range of disciplines such as science, engineering, economics and industry. Application areas have been growing steadily, driving forward the development of new effective methods. Inspired by the need for fast computational schemes in wireless sensor networks, a new optimization theory, called Fast Lipschitz, has emerged to provide effective algorithms both for distributed and centralized computations. An important property of these algorithms is that a globally optimal solution is always guranteed. In this master thesis project, a new MATLAB toolbox is developed to check wether an optimization problem is F-Lipschitz and to solve it efficiently. The difficulty is posed in verifying that a given problem is in fact F-Lipschitz. However, it is shown that under certain circumstances, this operation has a computational complexity of O(n^2) for a problem with n decision variables. The toolbox provides both a graphical interface as well as inline functions. A user guide is presented, explaining the functionalities by discussions and illustrations of example problems. Among others, a convex optimization problem of distributed detection is considered, as well as a non-convex radio power allocation problem. The novel toolbox presented in this thesis may be of considerable utility in solving optimization problems and studying their characteristics.
Feature extractor giving distortion invariant hierarchical feature space

A block structured neural feature extraction system is proposed whose distortion tolerance is built up gradually by successive blocks in a pipeline architecture. The system consists of only feedforward neural networks, allowing efficient parallel implementation. The feature extraction is based on distortion-tolerant Gabor transformation and minimum distortion clustering by hierarchical self-organizing feature maps (SOFM). Due to unsupervised learning strategy, there is no need for preclassified training samples or other explicit selection for training patterns during the training. A subspace classifier implementation on top of the feature extractor is demonstrated. The current experiments indicate that the feature space has sufficient resolution power for a small number of classes with rather strong distortions. The amount of supervised training required is very small, due to many unsupervised stages refining the data to be suitable for classification.