Miracle-dz/UniFAR-FTUs huggingface dataset:
Schema inference and data extraction from templatized Web pages

The World Wide Web is a vast and rapidly growing source of information. A web data extraction system is a system that extracts data from web pages automatically. However, there are various web sites having most of the pages that contains structured data. Thus, for Web Information integration, an important step is to extract information from Web documents for the websites. This paper presents an unsupervised approach to providing page-level data extraction task. It automatically detects schema of web pages. Web pages are compared based on visual clues to find fixed/variant template pages. Then data region from web pages are extracted and if they belong to fixed template then, schema recognized by applying tree merging, tree alignment and mining techniques. For heterogeneous template pages, variant tree matching algorithm is used.
Using Matching to Detect Infeasibility of Some Integer Programs

A novel matching based heuristic algorithm designed to detect specially formulated infeasible zero-one IPs is presented. The algorithm input is a set of nested doubly stochastic subsystems and a set E of instance defining variables set at zero level. The algorithm deduces additional variables at zero level until either a constraint is violated (the IP is infeasible), or no more variables can be deduced zero (the IP is undecided). All feasible IPs, and all infeasible IPs not detected infeasible are undecided. We successfully apply the algorithm to a small set of specially formulated infeasible zero-one IP instances of the Hamilton cycle decision problem. We show how to model both the graph and subgraph isomorphism decision problems for input to the algorithm. Increased levels of nested doubly stochastic subsystems can be implemented dynamically. The algorithm is designed for parallel processing, and for inclusion of techniques in addition to matching.
Image Sharpening for Efficient Source Camera Identification Based on Sensor Pattern Noise Estimation

Sensor pattern noise (SPN) has been widely used for image authentication and camera source identification. Its abundance in terms of the information that it carries along a wide frequency range allows for reliable identification in the presence of many imaging sensors. SPN estimation relies on the difference between a set of images and their smoothened versions to capture the characteristics of the sensor. Therefore, this process uses a part of the sensor noise content which is concentrated in the high frequency range and present in edges, contours and textured areas of the images. In this report, we propose to use a sharpening method to amplify the PRNU components for better estimation, thus enhancing the performance of camera source identification (CSI). Significant improvements have been achieved by the proposed method as demonstrated with two recent source camera identification techniques.
A novel broadband circularly polarized microstrip helical antenna

A novel circularly polarized microstrip helical antenna with broad impedance bandwidth and 3 dB axial ratio bandwidth is proposed based on traditional helical antenna. The helix is realized by connecting stacked multilayer microstrip circular arcs with vertical via holes. Details of the antenna analysis and design are described. Simulation results show that good radiation performance can be achieved.
Per-antenna constant envelope precoding for secure transmission in large-scale MISO systems

Secure transmission in large-scale MISO systems employing artificial noise (AN) is studied under the per-antenna constant envelope (CE) constraint. Achievable secrecy rate of the per-antenna CE precoding scheme for large-scale MISO is analyzed and compared with that of the matched filter linear precoding. A two-stage per-antenna CE precoding scheme for joint signal-plus-AN transmission is proposed. The first stage determines the per-antenna CE precoding for the information-bearing signal. A properly generated AN using an iteration algorithm is incorporated into the transmit signal in the second stage such that the combined signal-plus-AN satisfies the per-antenna CE constraint and the AN is orthogonal to the user channel. It is shown that compared to conventional per-antenna CE transmission, this joint signal-plus-AN secure transmission scheme does not require additional transmit power. An alternative low-complexity AN generation scheme which uses a separate antenna to cancel the AN leakage to the intended user introduced by randomly generated AN is also proposed.
An Intelligent Forensic Framework towards Cloud: Its Ontological Aspects

Cloud Computing, a relatively new concept and all its associated methodologies offer uncountable advantages nowa-days. These advantages range from integrating different systems, offering guarantee over searching mean distribution and to software tools integration, used by various cloud service providers and consumers. So all these provisions are not only making our lives easier but attract lots of intruders and malicious actors to perform various cloud crimes. This paper aims to contribute towards the design of an ontology based cloud forensic framework with a view to identify the malicious actors. The proposed framework consists of mainly two components Ontology-Enabled Forensic Blackboard (OFB) and Ontology-Enabled Forensic Controller and Processor (OFCP). The main function of OFB is to communicate with the investigators after receiving the classified crime incident scene collected from VM snapshots where ontology base is used spontaneously to distribute the investigators‟ request for proper information relevant to the investigation. Whereas, the function of the OFCP is to interact with different Cloud Malicious Actor Identifier (CMAI) so that accurate information can be gathered based on the distributed request with the help of a meta-ontology framework that acquire and restructure data using different AI reasoning tools and finally the mapping with its corresponding requests is done.
Effects of a 12-week exercise training programme on aerobic fitness, body composition, blood lipids and C-reactive protein in adolescents with obesity.

INTRODUCTION Developing effective exercise programmes for the paediatric population is a strategy for decreasing obesity and is expected to help in eventually limiting obesity-associated long-term health and societal impact. In this study, the effects of a 12-week twice weekly additional exercise training, which comprised a combination of circuit-based resistance training and aerobic exercises, in additional to typical physical education sessions, on aerobic fitness, body composition and serum C-reactive protein (CRP) and lipids were analysed in 13- to 14-year-old obese boys contrasted with a control group. MATERIALS AND METHODS Both the exercise group (EG, n = 12) and control group (CG, n = 12) participated in the typical 2 sessions of 40-minute physical education (PE) per week in schools, but only EG participated in additional 2 sessions per week of 45 to 60 minutes per session of exercise training, which comprised a combination of circuit-based resistance training and aerobic exercises maintained at 65% to 85% maximum heart rate (HRmax = 220 - age). Body composition was measured using dual energy X-ray absorptiometry (DEXA). Fasting serum CRP and blood lipids were analysed pre- and postexercise programme. Aerobic fitness was measured by an objective laboratory submaximal exercise test, PWC170 (Predicted Work Capacity at HR 170 bpm). RESULTS Exercise training significantly improved lean muscle mass, body mass index, fitness, resting HR, systolic blood pressure and triglycerides in EG. Serum CRP concentrations were elevated at baseline in both groups, but training did not result in a change in CRP levels. In the CG, body weight increased significantly at the end of the 12-week period. CONCLUSION This study supports the value of an additional exercise training programme, beyond the typical twice weekly physical education classes, to produce physiological benefits in the management of obesity in adolescents, including prevention of weight gain.
Gender-dependent phonetic refraction for speaker recognition

This paper describes improvements to an innovative high-performance speaker recognition system. Recent experiments showed that with sufficient training data phone strings from multiple languages are exceptional features for speaker recognition. The prototype phonetic speaker recognition system used phone sequences from six languages to produce an equal error rate of 11.5% on Switchboard-I audio files. The improved system described in this paper reduces the equal error rate to less then 4%. This is accomplished by incorporating gender-dependent phone models, pre-processing the speech files to remove cross-talk, and developing more sophisticated fusion techniques for the multi-language likelihood scores.
Temporal Models for Multimedia Synchronization 1

Multimedia synchronization has been studied by many researchers. Many approaches have been developed, some exist as proposals, others as established implementations. This fact, instead of being an advantage, is causing a great deal of confusion amongst researchers in communications, authoring, and user interface development. There is a lack of unified vision of the whole issue and it is difficult to evaluate and compare existing systems. In order to address this problem, we have developed a Temporal Reference Framework which unifies existing theories. It gives the necessary definitions for referencing and evaluating individual systems and enables the comparison of different synchronization schemes. In this paper, we focus on the foundation of our Temporal Reference Framework: models of time. We do this by first presenting a detailed survey of what time is and how it can be modeled. We describe models of time following a consistent terminology. We then introduce our framework. Finally, we illustrate this study with current implementations of multimedia synchronization techniques.
Identity Work, Humour and Disciplinary Power

How are people’s identities disciplined by their talk about humour? Based on an ethnographic study of a New York food co-operative, we show how members’ talk about appropriate and inappropriate uses of humour disciplined their identity work. The principal contribution we make is twofold. First, we show that in their talk about humour people engaged in three types of identity work: homogenizing, differentiating and personalizing. These were associated with five practices of talk which constructed co-op members as strong organizational identifiers, respectful towards others, flexible rule followers, not ‘too’ serious or self-righteous, and as autonomous individuals. Second, we analyse how this identity work (re)produced norms regulating the use of humour to fabricate conformist selves. Control, we argue, is not simply a matter of managers or other elites seeking to tighten the iron cage through corporate colonization to manufacture consent; rather, all organizational members are complicit in defining discourses, subject positions and appropriate conduct through discursive processes that are distributed and self-regulatory.
Online mass spectrometric aerosol measurements during the MINOS campaign (Crete, August 2001)

Mass spectrometric analysis of volatile and semi- volatile (=non-refractory) aerosol particles have been per- formed during a field study in the summer Eastern Mediter- ranean. A size-resolved, quantitative mass spectrometric technique (the Aerodyne Aerosol Mass Spectrometer, AMS) has been used, and the results are compared to filter sam- pling methods and particle sizing techniques. The different techniques agree with the finding that the fine particle mode (D<1.2µm) consisted mostly of ammonium sulfate and of organic material. The aerosol sulfate ranged between 2 and 12µg/m 3 . On most days, ammonium was closely corre- lated with sulfate, suggesting ammonium sulfate as the major aerosol component, but on days with high sulfate mass con- centrations, the sulfate was not fully neutralized by ammo- nium. Trajectories indicate that the aerosol and/or its precur- sors originate from South-Eastern Europe. The source of the ammonium sulfate aerosol is most likely fossil fuel burning, whereas the organic aerosol may also originate from biomass burning. Ion series analysis of the organics fraction in the mass spectrometer indicated that the major component of the organics were oxygenated organics which are a marker for aged, photochemically processed aerosol or biomass burning aerosol. The non-refractory aerosol compounds, measured with the Aerosol Mass Spectrometer, contributed between 37 and 50% to the total aerosol mass in the fine mode. A second mass spectrometer for single particle analysis by laser abla- tion has been used for the first time in the field during this study and yielded results, which agree with filter samples of
Stochastic stability criterion for sampled-data control systems via average dwell-time approach

For a sampled-data control system with nonuniform sampling, the sampling interval sequence, which is continuously distributed in a given interval, is described as a multiple independent identically distributed process. The closed-loop system is transformed into an asynchronous dynamical impulse model with input delay. By average dwell-time approach, sufficient conditions for the closed-loop exponential stability are presented in terms of LMIs, and the relation between the uncertain sampling and the stability of the closed-loop system is explicitly established. Numerical examples and experiment results are given to show the effectiveness and advantages of our theoretic results.
Abatement and Allocation in the Pilot Phase of the EU ETS

We use historical industrial emissions data to assess the level of abatement and over-allocation that took place across European countries during the pilot phase (2005–2007) of the European Union Emission Trading Scheme. Using a dynamic panel data model, we estimate the counter factual (business-as-usual) emissions scenario for EU member states. Comparing this baseline to allocated and verified emissions, we find that both over-allocation and abatement occurred, along with under-allocation and emissions inflation. Over the three trading years of the pilot phase we find over-allocation of approximately 280 million EUAs and total abatement of 247 Mt CO2. However, we calculate that emissions inflation of approximately 73 Mt CO2 also occurred, possibly due to uncertainty about future policy design features.
Constructive Synthesis of Memory-Intensive Accelerators for FPGA From Nested Loop Kernels

Field-programmable gate arrays are ideal hosts to custom accelerators for signal, image, and data processing but demand manual register transfer level design if high performance and low cost are desired. High-level synthesis reduces this design burden but requires manual design of complex on-chip and off-chip memory architectures, a major limitation in applications such as video processing. This paper presents an approach to resolve this shortcoming. A constructive process is described that can derive such accelerators, including on- and off-chip memory storage from a C description such that a user-defined throughput constraint is met. By employing a novel statement-oriented approach, dataflow intermediate models are derived and used to support simple approaches for on-/off-chip buffer partitioning, derivation of custom on-chip memory hierarchies and architecture transformation to ensure user-defined throughput constraints are met with minimum cost. When applied to accelerators for full search motion estimation, matrix multiplication, Sobel edge detection, and fast Fourier transform, it is shown how real-time performance up to an order of magnitude in advance of existing commercial HLS tools is enabled whilst including all requisite memory infrastructure. Further, optimizations are presented that reduce the on-chip buffer capacity and physical resource cost by up to 96% and 75%, respectively, whilst maintaining real-time performance.
A Mathematical Model for Wound Contraction and Angiogenesis

Cutaneous wounds, ulcers or burns, as a result of external damage, such as intensive solar exposure or accidents, occur in high numbers and may cause ever lasting traumas. In some cases, the wounds are very painful and impair an individual’s daily life in terms of health, and social interaction with his or her surroundings, but also in terms of mobility and ability to work or to perform leisure activities. Furthermore, the aesthetic feeling of patients is highly improved by the treatment of burns and other wounds since otherwise the wounds canmake a detrimental impact on the appearance of the patient’s skin. Besides aesthetic appearance, also the functioning of the damaged skin is different since infections are possibly more likely to occur near the (scar tissue of the) burn. Furthermore, the conception of temperature and pain by a patient is also altered by the burn, ulcer or cutaneous wound. Therefore, the treatment of these defects, which occurs in very high numbers, is important and hence it is crucial to improve treatments and to make treatments more efficient.
Compensation of image distortion on an arbitrary surface

When images are projected on an arbitrary surface, people expect to see distortion-free images. Therefore, we need to compensate for the geometric distortion on the camera image plane. To make a geometric compensated image, we can use feature matching between a projector image and a camera image and compare the position. We propose a feature matching method using sequential binary point patterns without the projector and synchronized camera. We verify the compensation method by experiments on the arbitrary surface.
A projection framework for biometrie scores fusion

This paper presents a projection framework for biométrie scores fusion. Essentially, the framework consists of a projection stage and a learning stage. Apart from investigating into several relatively new projection models for biométrie fusion, the projection stage attempts to unify these models into a single parametric structure. Three learning methods are investigated in conjunction with six projection models for their impacts on verification accuracy expressed in terms of equal error rate. An extensive experiment of these model and learning combinations on 32 fusion data sets are performed in the evaluation.
First steps in distributed tangible technologies: a virtual tug of war

The paper introduces an example of a 'distributed tangible technology' as a new type of technology that enables children in different physical locations to engage in physical interaction. A virtual tug of war game is an example of a distributed tangible technology that is played by groups of children pulling a rope from two separate locations. The game was launched when teams in Finland and South Africa competed during an international science festival. The paper describes the design and implementation of the tug of war game. It explores the challenges combining tangible user interfaces with distributed computing and distributed technologies to be overcome in future educational applications for children.
Extracting Facets from Textual Contents for Faceted Search over XML Data

Faceted search for XML data is one of the promising exploration methods with high usability to find desired subtrees from a given XML data. This paper proposes improved approach of faceted search over XML data by utilizing facets containing unique and longer textual values, like titles of papers in bibliographic database. Our approach is to extract suitable terms which categorize the current results into several groups. Also we propose a task designing method for evaluating exploratory search by defining specificity of tasks called specification level, and we introduce how to generate tasks with given specification level as well. With this task design, we evaluate our proposed approach and the results show our proposed approach improves search performance comparing with the previous approaches, especially when tasks have low specification levels.
Ancestral Inference and the Study of Codon Bias Evolution: Implications for Molecular Evolutionary Analyses of the Drosophila melanogaster Subgroup

Reliable inference of ancestral sequences can be critical to identifying both patterns and causes of molecular evolution. Robustness of ancestral inference is often assumed among closely related species, but tests of this assumption have been limited. Here, we examine the performance of inference methods for data simulated under scenarios of codon bias evolution within the Drosophila melanogaster subgroup. Genome sequence data for multiple, closely related species within this subgroup make it an important system for studying molecular evolutionary genetics. The effects of asymmetric and lineage-specific substitution rates (i.e., varying levels of codon usage bias and departures from equilibrium) on the reliability of ancestral codon usage was investigated. Maximum parsimony inference, which has been widely employed in analyses of Drosophila codon bias evolution, was compared to an approach that attempts to account for uncertainty in ancestral inference by weighting ancestral reconstructions by their posterior probabilities. The latter approach employs maximum likelihood estimation of rate and base composition parameters. For equilibrium and most non-equilibrium scenarios that were investigated, the probabilistic method appears to generate reliable ancestral codon bias inferences for molecular evolutionary studies within the D. melanogaster subgroup. These reconstructions are more reliable than parsimony inference, especially when codon usage is strongly skewed. However, inference biases are considerable for both methods under particular departures from stationarity (i.e., when adaptive evolution is prevalent). Reliability of inference can be sensitive to branch lengths, asymmetry in substitution rates, and the locations and nature of lineage-specific processes within a gene tree. Inference reliability, even among closely related species, can be strongly affected by (potentially unknown) patterns of molecular evolution in lineages ancestral to those of interest.