Miracle-dz/UniFAR-FTUs huggingface dataset:
Interpretability and accuracy issues in evolutionary multi-objective fuzzy classifiers

Fuzzy systems have remarkable capability to deal with imprecise and uncertain information existing in the real world complex problems. Evolutionary approaches, i.e., genetic algorithms are utilised to improvise the designing of fuzzy systems. During the design of fuzzy systems, interpretability and accuracy features are considered as an effort toward the improvement of performance and usability. One can only be improved at the cost of the other, leading to a new trade-off called interpretability-accuracy trade-off. On the other hand, the use of interval type-2 fuzzy sets in the development of fuzzy classifier is another dimension of improving it. In this paper, a fuzzy classifier named Engineering Student-Fuzzy Classification System (ES-FCS) is proposed and implemented using type-1 and type-2 fuzzy logic. The accuracy improvement has been studied by the application of linguistic hedges. The interpretability and accuracy assessment and their trade-off are experimentally studied in evolutionary multi-objective framework with both type-1 and type-2 fuzzy sets.
Iterative processing: from applications to parallel implementations

Over the last ten years, there has been a considerable interest in the area of iterative processing from the application perspective, and more recently from the theoretical perspective as well. Iterative processing indirectly exploits the global structure of a system by decomposing it into simpler local structures, and iteratively exchanging extrinsic soft information between them. This decomposition leads to a linear instead of an exponential increase in complexity. This thesis presents a new low-complexity iterative algorithm for joint channel estimation and decoding in coded orthogonal frequency-division multiplexing (OFDM) systems. The proposed iterative algorithm exploits all the information available to the receiver. It can be used to blindly estimate the channel within a single OFDM symbol or to significantly improve the performance of semi-blind systems that use a minimum amount of training to estimate and track the channel. We also propose the use of an optional outer low-density parity-check (LDPC) code in serial concatenation to offer a trade-off between latency and performance without affecting the complexity of the core iterative algorithm. The decomposition associated with iterative processing also facilitates the parallel and distributed implementation of iterative processing algorithms. This thesis investigates the implementation of iterative LDPC decoding on programmable parallel architectures, which is found to be communication-limited. We present general methodologies for optimizing the parallel decoding of LDPC codes on programmable shared-memory and message-passing architectures.
Discovering Design Explorations In Design Studies

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Web Usability A User Centered Design Approach

Thank you very much for reading web usability a user centered design approach. As you may know, people have look numerous times for their favorite readings like this web usability a user centered design approach, but end up in harmful downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they are facing with some harmful bugs inside their computer. web usability a user centered design approach is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers 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 web usability a user centered design approach is universally compatible with any devices to read.
Cache Digests for HTTP/2

This specification defines a HTTP/2 frame type to allow clients to inform the server of their cache's contents. Servers can then use this to inform their choices of what to push to clients. Note to Readers Discussion of this draft takes place on the HTTP working group mailing list (ietf-http-wg@w3.org), which is archived at https://lists.w3.org/Archives/Public/ietf-http-wg/ . Working Group information can be found at http://httpwg.github. io/ ; source code and issues list for this draft can be found at https://github.com/httpwg /http-extensions/labels/cache-digest .
Object Classification Method Using Dynamic Random Forests and Genetic Optimization

In this paper, we proposed the object classification method using genetic and dynamic random forest consisting of optimal combination of unit tree. The random forest can ensure good generalization performance in combination of large amount of trees by assigning the randomization to the training samples and feature selection, etc. allocated to the decision tree as an ensemble classification model which combines with the unit decision tree based on the bagging. However, the random forest is composed of unit trees randomly, so it can show the excellent classification performance only when the sufficient amounts of trees are combined. There is no quantitative measurement method for the number of trees, and there is no choice but to repeat random tree structure continuously. The proposed algorithm is composed of random forest with a combination of optimal tree while maintaining the generalization performance of random forest. To achieve this, the problem of improving the classification performance was assigned to the optimization problem which found the optimal tree combination. For this end, the genetic algorithm methodology was applied. As a result of experiment, we had found out that the proposed algorithm could improve about 3~5% of classification performance in specific cases like common database and self infrared database compare with the existing random forest. In addition, we had shown that the optimal tree combination was decided at 55~60% level from the maximum trees.
Use of synthetic data to test biometric algorithms

Abstract. For digital imagery, face detection and identification are functions of great importance in wide-ranging applications, including full facial recognition systems. The development and evaluation of unique and existing face detection and face identification applications require a significant amount of data. Increased availability of such data volumes could benefit the formulation and advancement of many biometric algorithms. Here, the utility of using synthetically generated face data to evaluate facial biometry methodologies to a precision that would be unrealistic for a parametrically uncontrolled dataset, is demonstrated. Particular attention is given to similarity metrics, symmetry within and between recognition algorithms, discriminatory power and optimality of pan and/or tilt in reference images or libraries, susceptibilities to variations, identification confidence, meaningful identification mislabelings, sensitivity, specificity, and threshold values. The face identification results, in particular, could be generalized to address shortcomings in various applications and help to inform the design of future strategies.
3D modeling for environmental informatics parametric manifold of an object under different viewing directions

3D modeling plays an important role in the field of computer vision and image processing. It provides a convenient tool set for many environmental informatics tasks, such as taxonomy and species identification. This chapter discusses a novel way of building the 3D models of objects from their varying 2D views. The appearance of a 3D object depends on both the viewing directions and illumination conditions. What is the set of images of an object under all viewing directions? In this chapter, a novel image representation is proposed, which transforms any n-pixel image of a 3D object to a vector in a 2n-dimensional pose space. In such a pose space, it is proven that the transformed images of a 3D object under all viewing directions form a parametric manifold in a 6-dimensional linear subspace. With in-depth rotations along a single axis in particular, this manifold is an ellipse. Furthermore, it is shown that this parametric pose manifold of a convex object can be estimated from a few images in different poses and used to predict object's appearances under unseen viewing directions. These results immediately suggest a number of approaches to object recognition, scene detection, and 3D modeling, applicable to environmental informatics. Experiments on both synthetic data and real images were reported, which demonstrates the validity of the proposed representation.
High-Resolution Imaging Method Based on MIMO Radar

For the purpose of obtaining high-resolution image of airborne moving target,this paper proposes a technical approach based on MIMO radar.Firstly,the basic principle and scheme of MIMO radar are analyzed.Then MIMO radar imaging model is founded.The relationship between MIMO radar multi-channel data and the spatial spectrum of target is derived.The high azimuth resolution of MIMO radar array is proved through analysis of spatial spectral region of support.Finally,simulations are performed and the results show that MIMO radar array can improve the azimuth resolution by several times compared with real aperture array that has the same receiving array as MIMO radar.
Optical dosimetry tools and Monte Carlo based methods for applications in image guided optical therapy in the brain

Prabhu Verleker, Akshay N. Ph.D., Purdue University, August 2016. A Therapeutic Protocol for Treatment of Brain Metastasis through Optically Stimulated Drug Release. Major Professor: Keith Stantz. Purpose: The long-term goal of this research is to determine the feasibility of using near infra-red light to stimulate drug release in metastatic lesions within the brain. In this work, we focused on developing the tools needed to quantify and verify photon fluence distribution in biological tissue. To accomplish this task, an optical dosimetry probe and Monte Carlo based simulation code were fabricated, calibrated and developed to predict light transport in heterogeneous tissue phantoms of the skull and brain. Empirical model (EM) of photon transport using CT images as input were devised to provide real-time calculations capable of being translated to preclinical and clinical applications. Methods and Materials: A GPU based 3D Monte Carlo code was customized to simulate the photon transport within head phantoms consisting of skull bone, white and gray matter with differing laser beam properties, including flat, Gaussian, and superGaussian profiles that are converging, parallel, or diverging. From these simulations, the local photon fluence and tissue dosimetric distribution was simulated and validated
TCP-in-UDP: Enabling gradually deployable TCP coupled congestion control using an efficient UDP encapsulation

This thesis recalls the desirability of being able to apply congestion control coupling to concurrent TCP connections between the same end hosts. We identify challenges that must be overcome to provide practically deployable solutions to this end, chiefly the presence of multi-path routing mechanisms, such as Equal Cost Multi-Path Routing (ECMP) in the network. Additionally, we identify some inherent weaknesses in previous proposals for TCP congestion control coupling. We contribute a novel design for a TCP-in-UDP encapsulation scheme which is able to work around the problems created by multi-path routing, as well as delivering other advantages, which we implement in the FreeBSD kernel. In order to be able to test and evaluate this mechanism, we also present and implement a design for TCP congestion control coupling based on the Flow State Exchange architecture. Finally, we carry out an evaluation of the combinations of these two solutions, and find that they yield tangible performance benefits in terms of delay and packet loss reductions.
Recent Developments in Higher-Order Calculations: Hard Functions at NLO with GoSam

In this presentation, we will focus on a recent applications of the GoSam 2.0 automated framework which goes beyond the official scope of this code, originally designed for one-loop fixed order calculations. In particular, we describe a customized version of GoSam that has been recently employed to study the production of a top-antitop pair in association with a vector boson or with the Higgs boson to next-to-next-to-leading logarithmic accuracy. In the context of these calculations, the modified version of GoSam was used to evaluate the NLO hard functions which are needed to carry out the resummation of soft gluon emission effects. We also briefly comment on the ongoing efforts to generalize integrand reduction and unitarity for higher order calculation, towards the goal of developing efficient alternative computational techniques for the evaluation of scattering amplitudes beyond one loop.
Invitations To Science Inquiry

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An Empirical Study: How Much Does Dynamic Slicing Improve the Accuracy of Statistical Fault Localization ?

This paper presents an empirical study on the extent of the eect of dynamic slicing on statistical fault localization. The belief was that dynamic slicing could improve the accuracy of fault localization by reducing the scope of faults. However, what extent can dynamic slicing improve the accuracy of statistical fault localization? Whether the extra time overhead of the computation of dynamic slicing is worthy of the accuracy of fault localization improved by dynamic slicing? In an attempt to address these problems, we conducted an empirical study of comparing the eectiveness of 6 statistical fault localization techniques based on dynamic slicing with that on coverage information across 11 Java subject programs varying in size from 165 to 22318. We found that the eectiveness of the 6 statistical fault localization techniques is improved by dynamic slicing from 35.04% to 47.62% on average. We also found that the time overhead of the statistical fault localization technique based on dynamic slicing is 1.02 to 1.75 times of that on coverage information. Therefore, these results have provided a greater understanding of choosing dynamic slicing or coverage information to further locate faults.
Single-scale image classification employing Bag-of-Words model

The general image classification methods relying on SIFT feature description need to construct multi-scale space,thus it is not only time-consuming but also irrelevant to visual sense.This paper proposed a new image classification method.It directly extracted single-scale SIFT features based grid,and described the features employing Bag-of-Words(BOW) model afterwards.Because single-scale SIFT need not build multi-scale space and retains more global information,the proposed method could reduce the computational complexity substantially and improved the classification accuracy significantly.Experimental results illustrate that compared with the standard SIFT based BOW model,the classification accuracy of BOW model formed from single-scale SIFT is significantly improved.
BOT SPAMMER DETECTION IN TWITTER USING TWEET SIMILARITY AND TIME INTERVAL ENTROPY

The popularity of Twitter has attracted spammers to disseminate large amount of spam messages. Preliminary studies had shown that most spam messages were produced automatically by bot. Therefore bot spammer detection can reduce the number of spam messages in Twitter significantly. However, to the best of our knowledge, few researches have focused in detecting Twitter bot spammer. Thus, this paper proposes a novel approach to differentiate between bot spammer and legitimate user accounts using time interval entropy and tweet similarity. Timestamp collections are utilized to calculate the time interval entropy of each user. Uni-gram matching-based similarity will be used to calculate tweet similarity. Datasets are crawled from Twitter containing both normal and spammer accounts. Experimental results showed that legitimate user may exhibit regular behavior in posting tweet as bot spammer. Several legitimate users are also detected to post similar tweets. Therefore it is less optimal to detect bot spammer using one of those features only. However, combination of both features gives better classification result. Precision, recall, and f-measure of the proposed method reached 85,71%, 94,74% and 90% respectively. It outperforms precision, recall, and f-measure of method which only uses either time interval entropy or tweet similarity.
A Comparative Analysis of Social Networking Analysis Tools

Informal communities have known a vital improvement since the presence of web 2.0 stages. This prompts a developing requirement for informal community mining and Social Network Analysis (SNA) systems and instruments with a specific end goal to give more profound examination of the system additionally to distinguish groups in perspective of different applications. Thus, a ton of works have concentrated on chart portrayal or bunching and a few new SNA apparatuses have been created over these last years. The motivation behind this paper is to think about some of these instruments which actualize calculations devoted to informal community examination.
The intriguing nature of the high-energy gamma ray source XSS J12270-4859

Context. The nature of the hard X-ray source XSS J12270-4859 is still unclear. It was claimed to be a possible magnetic cataclysmic variable of the Intermediate Polar type from its optical spectrum and a possible 860 s X-ray periodicity in RXTE data. However, recent observations do not support the latter variability, leaving this X-ray source still unclassified. Aims. To investigate its nature we present a broad-band X-ray and gamma ray study of this source based on a recent XMM-Newton observation and archival INTEGRAL and RXTE data. Using the Fermi/LAT 1-year point source catalogue, we tentatively associate XSS J12270-4859 with 1FGLJ1227.9-4852, a source of high-energy gamma rays with emission up to 10GeV. We further complement the study with UV photometry from XMM-Newton and ground-based optical and near-IR photometry. Methods. We have analysed both timing and spectral properties in the gamma rays, X-rays, UV and optical/near-IR bands of XSS J12270-4859. Results. The X-ray emission is highly variable, showing flares and intensity dips. The flares consist of flare-dip pairs. Flares are detected in both X-rays and the UV range, while the subsequent dips are present only in the X-ray band. Further aperiodic dipping behaviour is observed during X-ray quiescence, but not in the UV. The broad-band 0.2-100 keV X-ray/soft gamma ray spectrum is featureless and well described by a power law model with Gamma = 1.7. The high-energy spectrum from 100 MeV to 10 GeV is represented by a power law index of 2.45. The luminosity ratio between 0.1-100 GeV and 0.2-100 keV is similar to 0.8, indicating that the GeV emission is a significant component of the total energy output. Furthermore, the X-ray spectrum does not greatly change during flares, quiescence and the dips seen in quiescence. The X-ray spectrum however hardens during the post-flare dips, where a partial covering absorber is also required to fit the spectrum. Optical photometry acquired at different epochs reveals a period of 4.32 hr that could be ascribed to the binary orbital period. Near-IR, possibly ellipsoidal, variations are detected. Large amplitude variability on shorter (tens mins) timescales is found to be non-periodic. Conclusions. The observed variability at all wavelengths together with the spectral characteristics strongly favour a low-mass atypical low-luminosity X-ray binary and are against a magnetic cataclysmic variable nature. The association with a Fermi/LAT high-energy gamma ray source further strengths this interpretation.
Capillary breakup of a liquid bridge: identifying regimes and transitions

Computations of the breakup of a liquid bridge are used to establish the limits of applicability of similarity solutions derived for different breakup regimes. These regimes are based on particular viscous–inertial balances, that is, different limits of the Ohnesorge number $Oh$ . To accurately establish the transitions between regimes, the minimum bridge radius is resolved through four orders of magnitude using a purpose-built multiscale finite element method. This allows us to construct a quantitative phase diagram for the breakup phenomenon which includes the appearance of a recently discovered low- $Oh$ viscous regime. The method used to quantify the accuracy of the similarity solutions allows us to identify a number of previously unobserved features of the breakup, most notably an oscillatory convergence towards the viscous–inertial similarity solution. Finally, we discuss how the new findings open up a number of challenges for both theoretical and experimental analysis.
Sub-arcsecond [Fe ii] spectro-imaging of the DG Tauri jet - Periodic bubbles and a dusty disk wind?

Context. The origin of protostellar jets as well as their impact on the regulation of angular momentum and the inner disk physics are still crucial open questions in star formation. Aims. We aim to test the different proposed ejection processes in T Tauri stars through high-angular resolution observations of forbidden-line emission from the inner DG Tauri microjet. Methods. We present spectro-imaging observations of the DG Tauri jet obtained with SINFONI/VLT in the lines of [Fe ii]λ1. 64 μm, 1.53 μm with 0. 15 angular resolution and R = 3000 spectral resolution. We analyze the morphology and kinematics, derive electronic densities and mass-flux rates and discuss the implications for proposed jet launching models. Results. (1) We observe an onion-like velocity structure in [Fe ii] in the blueshifted jet, similar to that observed in optical lines. Highvelocity (HV) gas at � –200 km s −1 is collimated inside a half-opening angle of 4 ◦ and medium-velocity (MV) gas at � –100 km s −1 in a cone with an half-opening angle 14. (2) Two new axial jet knots are detected in the blue jet, as well as a more distant bubble with corresponding counter-bubble. The periodic knot ejection timescale is revised downward to 2.5 yrs. (3) The redshifted jet is detected only beyond 0. 7 from the star, yielding revised constraints on the disk surface density. (4) From comparison to [O i ]d ata we infer iron depletion of a factor 3 at high velocities and a factor 10 at speeds below –100 km s −1 . (5) The mass-fluxes in each of the medium