Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving Accuracy for Intrusion Detection through Layered Approach Using Support Vector Machine with Feature Reduction

Digital information security is the field of information technology which deal with all about identification and protection of information. Whereas, identification of the threat of any Intrusion Detection System (IDS) in the most challenging phase. Threat detection become most promising because rest of the IDS system phase depends on the solely on "what is identified". In this view, a multilayered framework has been discussed which handles the underlying features for the identification of various attack (DoS, R2L, U2R, Probe). The experiments validates the use SVM with genetic approach is efficient.
A management framework for residential broadband environments

The widespread availability of broadband access technologies deeply impacted the residential LAN, reshaping its ecosystems of services and devices and changing the prevalent service delivery and usage paradigms. In this scenario, operators and service providers constantly face the challenge of delivering the best possible value for end-users without compromising revenue, reliability or performance. This balance can only be achieved through a comprehensive management approach, ideally capable of providing an end-to-end coverage of the critical aspects involved in the delivery process and covering the infrastructure, services and devices. In this paper we present the main results of a PhD Dissertation that addressed the challenge of providing service providers with adequate service and device management mechanisms. First, we extended the industry de facto standard for remote management of devices and services on the customer's premises (the CWMP/TR069 framework), in order to increase its scope and flexibility. Afterwards, on top of those extensions, we proposed and investigated an array of innovative approaches for device, service, desktop and security management. Overall, those approaches allow operators to simplify their operations, enabling the improvement of current services as well as the introduction of novel services.
Cepstrum vs. LPC: A Comparative Study for Speech Formant Frequencies Estimation

This paper discusses the accurate measurement of formant frequencies using Cesptral and LPC method. Each algorithm was implemented with Matlab and was applied in the aim to evaluate the precision of both designed techniques. The conceived Cepstral algorithm is a frequency method based on picking peaks from the Cepstrally-smoothed frequency spectrum of the speech signal. Cepstral smoothing is a nonparametric method that attempts to remove the effect of glottal pulsing to obtain the spectral envelope corresponding to the vocal tract response. The obtained result, i.e. the Cepstrum, was then used to estimate the smoothed spectrum. Formant frequencies are estimated from the smoothed speech spectrum by adding constraints on the formant frequency ranges. The four highest peaks are typically classified as the first four formants. However, the LPC algorithm estimate formant frequencies from the all pole model of the vocal tract transfer function. The approach relies on the source - filter model supposing that the speech signal can be considered to be the output of a linear system. The frequency response of the filter has different spectral characteristics depending on the shape of the vocal tract. The spectral peaks in the spectrum are the resonances of the vocal tract and are commonly referred to as formants. The linear prediction analysis is the traditional method used to compute the model of the vocal tract. The obtained result, i.e. prediction coefficients, was then used to estimate formant frequencies. The obtained results show that there is a wide range in the estimated values of formant frequencies for male and female speakers. The presented work supply a comparison between the two techniques based on the coefficient of deviation, standard deviation and physiological results, in the aim to evaluate every method.
Language model adaptation for conversational speech recognition using automatically tagged pseudo-morphological classes

Statistical language models provide a powerful tool for modelling natural spoken language. Nevertheless a large set of training sentences is required to estimate reliably the model parameters. The authors present a method for estimating n-gram probabilities from sparse data. The proposed language modeling strategy allows one to adapt a generic language model (LM) to a new semantic domain with just a few hundred sentences. This reduced set of sentences is automatically tagged with eighty different pseudo-morphological labels, and then a word-bigram LM is derived from them. Finally, this target domain word-bigram LM is interpolated with a generic back-off word-bigram LM, which was estimated using a large text database. This strategy reduces by 27% the word error rate of the SPATIS (SPanish ATIS) task.
A two-step approach to analyze European geodetic Very Long Baseline Interferometry (VLBI) data.

Since 1990 the European xed station geodetic Very Long Baseline Interferometry (VLBI) network has been observing on a regular basis in order to determine crustal motion in Europe. Usually the analyses of geodetic VLBI data are set up in two diierent ways: a) to produce station coordinates for each observation epoch from independent parameter adjustments and b) to compute station coordinates at a reference epoch together with drift rate components simultaneously from solutions where station drifts are modeled directly using vector representation. In this paper we present an alternative analysis strategy which uses a two step approach. In a rst step all station coordinates are estimated as independent parameters for each session. Then in a second step topocentric drift rate vectors are computed from the individual series of station coordinates and their covariance matrices.
Sound damping constant for generalized theories of gravity

The near-horizon metric for a black brane in anti-de Sitter space and the metric near the AdS boundary both exhibit hydrodynamic behavior. We demonstrate the equivalence of this pair of hydrodynamic systems for the sound mode of a conformal theory. This is first established for Einstein's gravity, but we then show how the sound damping constant will be modified from its Einstein form for a generalized theory. The modified damping constant is expressible as the ratio of a pair of gravitational couplings that are indicative of the sound-channel class of gravitons. This ratio of couplings differs from both that of the shear diffusion coefficient and the shear viscosity to entropy ratio. Our analysis is mostly limited to conformal theories, but suggestions are made as to how this restriction might eventually be lifted.
Efficient key detection method in the correlation electromagnetic analysis using peak selection algorithm

A side channel analysis is a very efficient attack against small devices such as smart cards and wireless sensor nodes. In this paper, we propose an efficient key detection method using a peak selection algorithm in order to find the advanced encryption standard secret key from electromagnetic signals. The proposed method is applied to a correlation electromagnetic analysis (CEMA) attack against a wireless sensor node. Our approach results in increase in the correlation coefficient in comparison with the general CEMA. The experimental results show that the proposed method can efficiently and reliably uncover the entire 128-bit key with a small number of traces, whereas some extant methods can reveal only partial subkeys by using a large number of traces in the same conditions.
Changes in expression and honesty of sexual signalling over the reproductive lifetime of sticklebacks

Fitness costs of signalling are essential in order for reliable sexual signalling to prevail when the interests of the sexes conflict. This means that signalling can be subjected to a life history trade–off between present and future signalling effort. Here, I show that three–spined stickleback males (Gasterosteus aculeatus), who have a single breeding season during which they breed repeatedly, change their red nuptial coloration over the season depending on their body size at the start of breeding. Large males that completed several breeding cycles increased their red coloration over the season, whereas small males, who completed only a few cycles, did not. The increase in coloration was accompanied by an increase in parental success when males were energy constrained, but not when they had access to an unlimited food supply. Red coloration was thus an honest signal of male parental ability despite changes in signal expression when both signalling and parental care were costly and the investments in them changed simultaneously over the reproductive lifetime. However, the honesty of the signal varied over a lifetime. At the penultimate cycle, bright males cannibalized some of their eggs, probably to increase survival to the last cycle, whereas males cared for their offspring independent of coloration at the ultimate cycle.
Familiar: Automating Repetition in Common Applications

Computers reputedly excel at repetitive problems, yet many users find thems elves performing the same actions over and over again. Non-programmers have little choice but t o perform iterative tasks by hand. Programming by demonstration is an end-user programming techni que that lets the user teachthe computer a program by showing it examples of what they want done, mu ch as they might teach another human. This paper describes Familiar, an agent that helps users to aut omate iterative tasks by demonstration using common applications and existing technol ogy. An evaluation shows that users are able to automate iterative tasks with Familiar, but found t hat they prefer other techniques in many situations if they have the choice.
Efficient Micropropagation of Highly Economic, Medicinal and Ornamental Plant Lallemantia iberica (Bieb.) Fisch. and C. A. Mey

Lallemantia iberica (Bieb.) Fisch. and C. A. Mey is high valued annual ornamental and medicinal plant from Lamiaceae family that prefers dry sunny hillsides, roadsides, slopes, and fallow fields over an altitude of 500–2150 m. It bears beautiful white flowers and bloom from April to June each year. This study reports L. iberica micropropagation using cotyledon node explants isolated from 15-day-old in vitro regenerated plantlets. The cotyledon node explants were cultured on MS medium containing 0.50, 1.00 plus 2.00 mg/L BAP, 0.00, 0.01, and 0.02 mg/L NAA. Maximum shoot regeneration was noted on MS medium containing 0.50 mg/L BAP. Well-developed micropropagated shoots were rooted on MS medium containing 1.00 mg/L IBA. The rooted plants were easily hardened in the growth chamber and acclimatised in greenhouse.
Real-time dynamic display of registered 4D cardiac MR and ultrasound images using a GPU

In minimally invasive image-guided surgical interventions, different imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT), and real-time three-dimensional (3D) ultrasound (US), can provide complementary, multi-spectral image information. Multimodality dynamic image registration is a well-established approach that permits real-time diagnostic information to be enhanced by placing lower-quality real-time images within a high quality anatomical context. For the guidance of cardiac procedures, it would be valuable to register dynamic MRI or CT with intraoperative US. However, in practice, either the high computational cost prohibits such real-time visualization of volumetric multimodal images in a real-world medical environment, or else the resulting image quality is not satisfactory for accurate guidance during the intervention. Modern graphics processing units (GPUs) provide the programmability, parallelism and increased computational precision to begin to address this problem. In this work, we first outline our research on dynamic 3D cardiac MR and US image acquisition, real-time dual-modality registration and US tracking. Then we describe image processing and optimization techniques for 4D (3D + time) cardiac image real-time rendering. We also present our multimodality 4D medical image visualization engine, which directly runs on a GPU in real-time by exploiting the advantages of the graphics hardware. In addition, techniques such as multiple transfer functions for different imaging modalities, dynamic texture binding, advanced texture sampling and multimodality image compositing are employed to facilitate the real-time display and manipulation of the registered dual-modality dynamic 3D MR and US cardiac datasets.
CCM1 regulates vascular-lumen organization by inducing endothelial polarity

Little is known about the molecular mechanisms that regulate the organization of vascular lumen. In this paper we show that lumen formation correlates with endothelial polarization. Adherens junctions (AJs) and VE-cadherin (VEC, encoded by CDH5) are required for endothelial apicobasal polarity in vitro and during embryonic development. Silencing of CDH5 gene expression leads to abrogation of endothelial polarity accompanied by strong alterations in lumenal structure. VEC co-distributes with members of the Par polarity complex (Par3 and PKCζ) and is needed for activation of PKCζ. CCM1 is encoded by the CCM1 gene, which is mutated in 60% of patients affected by cerebral cavernous malformation (CCM). The protein interacts with VEC and directs AJ organization and AJ association with the polarity complex, both in cell-culture models and in human CCM1 lesions. Both VEC and CCM1 control Rap1 concentration at cell-cell junctions. We propose that VEC, CCM1 and Rap1 form a signaling complex. In the absence of any of these proteins, AJs are dismantled, cell polarity is lost and vascular lumenal structure is severely altered.
Detection and analysis of network & application layer attacks using Maya Honeypot

This paper discusses the usage of Deception as a strategy in network security and development of Java based honeypot that is named as “Maya”. For network deception, intruders are deliberately provided with hosts having one or more vulnerabilities. Honeypot is such a network deception tool that provides illusion to the attackers. Basic purpose of Honeypot is to get compromised in order to gather information about intruders and their attack methods. It could also be used to lure attacker and divert him from the actual network. “Maya” honeypot is Java based deception tool having emulated services (FTP etc), a Rule & Anomaly based intrusion detection engine and a web based administration cum monitoring tool.
ViDI: The Visual Design Inspector

We present ViDI (Visual Design Inspector), a novel code review tool which focuses on quality concerns and design inspection as its cornerstones. It leverages visualization techniques to represent the reviewed software and augments the visualization with the results of quality analysis tools. To effectively understand the contribution of a reviewer in terms of the impact of her changes on the overall system quality, ViDI supports the recording and further inspection of reviewing sessions. ViDI is an advanced prototype which we will soon release to the Pharo open-source community.
Ambient affiliation: A linguistic perspective on Twitter

This article explores how language is used to build community with the microblogging service, Twitter (www.twitter.com). Systemic Functional Linguistic (SFL), a theory of language use in its social context, is employed to analyse the structure and meaning of ‘tweets’ (posts to Twitter) in a corpus of 45,000 tweets collected in the 24 hours after the announcement of Barak Obama’s victory in the 2008 US presidential elections. This analysis examines the evaluative language used to affiliate in tweets. The article shows how a typographic convention, the hashtag, has extended its meaning potential to operate as a linguistic marker referencing the target of evaluation in a tweet (e.g. #Obama). This both renders the language searchable and is used to upscale the call to affiliate with values expressed in the tweet. We are currently witnessing a cultural shift in electronic discourse from online conversation to such ‘searchable talk’.
On Heritage Ontologies: Rethinking the Material Worlds of Heritage

ABSTRACT:This piece aims to serve both as a commentary on papers in this special collection as well as a more general observation of recent developments within the emerging interdisciplinary field of critical heritage studies. It explores a series of key theoretical influences which come together, with various emphases, across the collection. This exemplifies a developing strand of research which focuses on material and ontological approaches to heritage. In doing so, this piece aims to consider the implications of these approaches for critical heritage studies more generally.
Two-stage phone recognition system using articulatory and spectral features

In this paper, we propose a two-stage phone recognition system using articulatory and spectral features. In the first stage, articulatory features are predicted from spectral features using FeedForward Neural Networks (FFNNs). In the second stage, phone recognition is carried out using the predicted articulatory features and spectral features together. FFNNs and Hidden Markov Models are explored for developing the phone recognition models in stage-2. In this work, spectral features are represented by Mel-frequency cepstral coefficients. The performance of the proposed phone recognition systems are analyzed using an Indian language Bengali and TIMIT speech databases. The recognition accuracy of the proposed two-stage models are compared with baseline phone recognition systems developed using spectral features alone. From the results, it is observed that, the proposed two-stage recognition systems outperform their respective baseline systems. Two-stage recognition systems have shown an improvement of 5.87% and 7.55% for Bengali and TIMIT speech databases respectively.
Animation and Music: The Music and Movement of Synthetic Characters

is begins with the idea that reactive, behavior-based ‘synthetic s’ can become an appropriate platform for musical ntation. motivates the creation of a new behavior system for these s. This system, in addition to providing the basis of the work therein, appears to solve some outstanding problems in creation. Next, work on the creation of characters’ motor s described, culminating in a new framework for characters to understand their motor actions while remaining within an ased animation domain. Finally, several musical applications of ems and this character-based approach are discussed. These ns take the form of visual and audio interactive installations that , in part, musical creatures built from this framework. supervisor: Bruce M. Blumberg. assistant professor of media arts and es, Asahi broadcasting corporation career development professor of media arts and sciences behavior, animation, music: the music and movement of synthetic characters
Urban planning, transportation, and land-use planning : the effects on attitudes and political behaviors

Urban Planning, Transportation, and Land-use Planning: The Effects on Attitudes and Political Behaviors Abraham Goldberg Public policy decisions made across levels of government have an effect on the way in which cities and city neighborhoods are built and maintained. Places vary in several ways including by the level of diversity or uniformity of the types of available amenities, transportation options, cleanliness, safety, affordability, and the availability of basic services. A growing body of literature, through empirical research, demonstrates that these variations affect several domains of people’s lives. Personal health, the natural environment, and social capital have all been linked to characteristics of the built environment and attributes of the public realm. In line with this body of literature, the present dissertation examines how individual happiness, social connections, civic pride, and community satisfaction are associated with the way in which cities are designed and maintained. Further, overall voluntary political activity among residents is explored to determine how it may be affected by the types of places in which people live. Using two unique data sets, this dissertation empirically demonstrates that place matters. People who agree that their cities allow easy access to cultural and leisure facilities, libraries, and provide convenient public transportation are happier. The same is true for those who believe that there city is a beautiful, that it is a good place to raise children, and who agree that it is affordable. These findings are significant even when accounting for other factors associated with happiness. Social connections and connections to place are also significantly affected by the built environment and the conditions of the public realm. People feel more connected to each other and to their cities when they are provided with accessible amenities and when the public realm is safe, aesthetically agreeable, and affordable enough to allow them to engage society. These findings are consistent across 10 different cities in North America, Europe, and Asia. Finally, political participation is found to be associated with characteristics of the built environment. Accounting for past research and controlling for factors such as socioeconomic status and political engagement, political participation is significantly related to the walkability of a neighborhood. People are more active in politics when living in places that are pedestrian-oriented and mixed-use, all things being equal. This dissertation project presents a direct relationship between the built environment and political participation, and an indirect relationship as mediated by mobilization. The implications of this research are instructive to academics, policy makers, and urban community planners. Such implications, along with avenues for future research based upon these findings, are presented.
A Comparison of Three High-Precision Quadrature Schemes

The authors have implemented three numerical quadrature schemes, using the Arbitrary Precision (ARPREC) software package. The objective here is a quadrature facility that can efficiently evaluate to very high precision a large class of integrals typical of those encountered in experimental mathematics, relying on a minimum of a priori information regarding the function to be integrated. Such a facility is useful, for example, to permit the experimental identification of definite integrals based on their numerical values. The performance and accuracy of these three quadrature schemes are compared using a suite of 15 integrals, ranging from continuous, well-behaved functions on finite intervals to functions with infinite derivatives and blow-up singularities at endpoints, as well as several integrals on an infinite interval. In results using 412-digit arithmetic, we achieve at least 400-digit accuracy, using two of the programs, for all problems except one highly oscillatory function on an infinite interval. Similar results were obtained using 1,012-digit arithmetic.