Miracle-dz/UniFAR-FTUs huggingface dataset:
AN EFFICIENT INTRUSION DETECTION USING FAST HIERARCHICAL RELEVANCE VECTOR MACHINE

Internet is a useful source of information in everyone’s daily activity. Internet becomes a globally used public network. Significance of Intrusion detection system (IDS) in computer network security is well proven. In order to protect the organization data, Intrusion Detection System (IDS) offers protection from external users and internal attackers. Intrusion detection is the processes of examining the events which happens in a computer system or network and evaluate them for signs of possible events, which are imminent threats of violation of computer security policies, standard security practices and acceptable use policies. In this paper a new algorithm is introduced to find out the protocol and their attacks are Fast Hierarchical Relevance Vector Machine (FHRVM). These algorithms are formed by the combination of RVM with LM-AHP. The main goal of the paper, that successful identification of attacks in reduced false alarm rate. To demonstrate this by exploiting a probabilistic Bayesian learning framework, in this paper derive an accurate prediction models which typically utilize dramatically fewer basis functions than a comparable KSVM and FHELM. These include the benefits of probabilistic predictions, automatic
A fast and energy efficient branch and bound algorithm for NoC task mapping

This paper proposes an enhanced Branch and Bound (B&B) algorithm for Network-on-Chip (NoC) task mapping. The novelty of the algorithm can be summarized in two aspects. First, a more accurate method is proposed to estimate the lower bound cost. Second, an automatic method to generate the task binding rules is proposed based on the Task Binding Graph (TBG). Both of the two improvements contribute to designing a high speed B&B algorithm with global optimized mapping result, aiming to reduce the communication energy consumption. The experiment results show that the proposed algorithm is nearly 3.5 times faster and the communication energy consumption is 35% less than the state-of-art B&B algorithm in average. Comparing to the Genetic Algorithm, the proposed algorithm is similarly fast and reduce the communication energy consumption by 24% in average. Particularly, as the size of the NoC grows larger, the superiorities of our proposed algorithm become more significant.
Predictive Densities for Day-Ahead Electricity Prices Using Time-Adaptive Quantile Regression

A large part of the decision-making problems actors of the power system are facing on a daily basis requires scenarios for day-ahead electricity market prices. These scenarios are most likely to be generated based on marginal predictive densities for such prices, then enhanced with a temporal dependence structure. A semi-parametric methodology for generating such densities is presented: it includes: (i) a time-adaptive quantile regression model for the 5%–95% quantiles; and (ii) a description of the distribution tails with exponential distributions. The forecasting skill of the proposed model is compared to that of four benchmark approaches and the well-known the generalist autoregressive conditional heteroskedasticity (GARCH) model over a three-year evaluation period. While all benchmarks are outperformed in terms of forecasting skill overall, the superiority of the semi-parametric model over the GARCH model lies in the former’s ability to generate reliable quantile estimates.
Gate Resizing for Soft Error Rate Reduction in Nano-scale Digital Circuits Considering Process Variations

This paper presents a novel circuit optimization technique to reduce soft error rates (SER) of combinational logic circuits in the presence of process variations. We take advantage of gate sizing technique which has been shown to be one of the most effective methods for SER mitigation in digital circuits. A statistical SER (SSER) estimation approach is proposed to be used to prune the circuit graph into a smaller set of candidate gates. Then, we perform incremental statistical sensitivity computations to determine the resizing step that are the largest improvement to circuit SER. The proposed algorithm trades off SER reduction and area overhead. Experimental results on a variety of benchmarks show SER reductions of 67.3% with gate sizing approach, with 5.5% area overheads and delay improvement of 3.2%, on average. The runtimes for the optimization algorithms are on the order of 10 minutes.
Multimodal Document Alignment: towards a Fully- indexed Multimedia Archive*

paper presents a multimodal document alignment framework that aims to a cross-indexing of the various documents within multimodal applications (e.g. meetings and lectures). These documents might be either present during the event (e.g. static documents) or generated after the event (e.g. speech transcript). In the current study, three documents types have been considered, static documents, speech transcript and slideshows. This work is an extension of a previous bimodal alignment framework, between static documents and speech transcript of meetings (10). The obtained results in this paper prove that the slideshows are a considerable alternative for speech recordings to temporally index static documents. Moreover, it is shown that the integration of slideshows has improved and reinforced the bimodal alignment between static documents and speech transcript. Furthermore, several features have been considered and studied in our enhanced alignment framework, such as effect of the TF.IDF metric, the WordNet thesaurus and the noisy speech on our alignment process.
Efficient image interpolation by associating 2nd order local structure and data-adaptive kernel regression

Image interpolation is still a widely studied issue for rescaling a low-resolution image to a high resolution image. This paper tends to modify the data-dependent steering kernel regression image interpolation in order to reduce the computational cost in point-wise determination of data-dependent or nonlinear filter coefficients. Instead solving a kernel-based weighting least mean squared minimization a novel example-based matching approach is introduced and the problem is turned into the nearest neighbor search problem. Through conducted experiments applied to several images the proposed method is verified to reduce the computational time about 50% compared with the steering kernel regression algorithm while almost maintaining image quality.
Dynamic Equilibrium in the Hospital Industry

We present a dynamic model of the hospital industry in which nonprofit and for-profit hospitals coexist and compete and are differentiated by their objective functions, investment technologies, and taxation rates. In our model, patients differ by income and type of insurance coverage, and choose admission to their preferred hospital, while hospitals choose investment, entry, exit, and pricing strategies. We estimate the parameters of the model with aggregate data and a GMM procedure. We then use the model to examine the effects of changes in the Medicare reimbursement system, universal health-care coverage, and taxation of nonprofits.
C D ] 1 1 Ju l 2 00 6 Lagrangian particle paths & orthonormal quaternion frames

New optical methods now allow experimentalists to track the trajectories of Lagrangian tracer particles in fluid flows at high Reynolds numbers. Independently, quaternions are used in the aerospace and computer graphics industries to track the paths of objects undergoing three-axis rotations. It is shown here that quaternions are a natural way of selecting an appropriate ortho-normal quaternion-frame (not the Frenet-frame) for a Lagrangian particle and of obtaining the equations for its dynamics. The method is applicable to a wide range of Lagrangian flows.
New Method to Measure End-to-End Delay of Virtual Reality

A virtual reality (VR) system tracks one or more objects to generate the depiction of a virtual environment from the user's vantage point. No system achieves this instantaneously: changes in the depicted virtual environment are delayed from changes in the position of the objects being tracked. In this paper, a method is proposed to quantify this time difference, the end-to-end delay of the VR system. Two light-sensing devices and two luminance gradients are used to simultaneously encode the position of one tracked object and its virtual counterpart. One light-sensing device is attached to the tracked object and it captures light from the gradient in the physical environment. The other device captures light from the gradient in the virtual environment. A measurement is obtained by moving the tracked object repetitively (by hand) across the gradient. The end-to-end delay is the asynchrony between the signals generated by the two light-sensing devices. The results collected with oscillatory movements performed at different frequencies indicate that for some VR systems, the end-to-end delay might not be constant but could vary as a function of the oscillation frequency.
Child work and other determinants of school attendance and school attainment in Bangladesh

[Abstract]: The paper examines the linkages between child work and both school attendance and school attainment of children aged 5–17 years using data from a survey based in rural Bangladesh. This paper first looks at school attendance as an indicator of a child’s time input in schooling; then it measures the “schooling-for-age” as a learning achievement or schooling outcome. The results from this paper show that school attendance and grade attainment are lower for children who are working. The gender-disaggregated estimates show that probability of grade attainment is lower for girls than that of boys. Our results reveal that child work has the highest impact on schooling of Bangladeshi children, followed by supply side correlates (presence of a school in the community), parental education and household income respectively.
YAP induces cisplatin resistance through activation of autophagy in human ovarian carcinoma cells

Objective To identify the role of YAP in cisplatin resistance in human ovarian cancer cells and in the regulation of autophagy in these cancer cells. Materials and methods The cisplatin-sensitive OV2008 parental cell line and its cisplatin-resistant variant C13K were cultured. RNA interference was used to knock down the YAP gene. Accumulation of GFP-LC3 puncta was performed by fluorescence microscopy. The formation of autophagosomes was observed by transmission electron microscopy. Drug sensitivity was examined using CCK-8 assay, while apoptosis, the level of intracellular rhodamine 123 and lysosomal acidification were analyzed by fluorescence-activated cell sorting. Acid phosphatase activity was measured using an acid phosphatase-assay kit. Real-time polymerase chain reaction, Western blotting, and immunofluorescence detection were used to detect the protein and messenger RNA expression of YAP, YAP target genes, CCND1, cleaved PARP, and caspase 3, Atg-3 and -5, and the LC3B protein. Results YAP signaling may regulate cisplatin resistance in ovarian cancer cells by augmenting cellular autophagic flux. After knockdown of YAP-sensitized C13K cells to cisplatin by inducing a decrease in autophagy, YAP led to an increase in autophagy via enhancement of autolysosome degradation. Conclusion YAP-mediated autophagy may play a protective role in cisplatin-resistant human ovarian cancer cells. Therefore, YAP-mediated autophagy should be explored as a new target for enhancing the efficacy of cisplatin against ovarian cancer and other types of malignancies.
Surgical removal of right-to-left cardiac shunt in the American alligator (Alligator mississippiensis) causes ventricular enlargement but does not alter apnoea or metabolism during diving

SUMMARY Crocodilians have complete anatomical separation between the ventricles, similar to birds and mammals, but retain the dual aortic arch system found in all non-avian reptiles. This cardiac anatomy allows surgical modification that prevents right-to-left (R–L) cardiac shunt. A R–L shunt is a bypass of the pulmonary circulation and recirculation of oxygen-poor blood back to the systemic circulation and has often been observed during the frequent apnoeic periods of non-avian reptiles, particularly during diving in aquatic species. We eliminated R–L shunt in American alligators (Alligator mississippiensis) by surgically occluding the left aorta (LAo; arising from right ventricle) upstream and downstream of the foramen of Panizza (FoP), and we tested the hypotheses that this removal of R–L shunt would cause afterload-induced cardiac remodelling and adversely affect diving performance. Occlusion of the LAo both upstream and downstream of the FoP for ∼21 months caused a doubling of RV pressure and significant ventricular enlargement (average ∼65%) compared with age-matched, sham-operated animals. In a separate group of recovered, surgically altered alligators allowed to dive freely in a dive chamber at 23°C, occlusion of the LAo did not alter oxygen consumption or voluntary apnoeic periods relative to sham animals. While surgical removal of R–L shunt causes considerable changes in cardiac morphology similar to aortic banding in mammals, its removal does not affect the respiratory pattern or metabolism of alligators. It appears probable that the low metabolic rate of reptiles, rather than pulmonary circulatory bypass, allows for normal aerobic dives.
Localization of mobile robot using laser range finder and IR landmark

Localization and mapping is important in autonomous navigation of mobile robot. In this paper, we deal with localization using 2D laser range finder and IR positioning sensor. 2D grid map is built in local coordinate using data from laser range finder. And it is integrated into global coordinate using information from IR landmark. It can provide consistent global map that can be used in the autonomous navigation of mobile robot. Experimental result under indoor environment is provided to show the feasibility.
Power Control Based on Routing Protocol in Wireless Sensor Networks

Power control technology in wireless sensor network (WSN) is of great significance to ensure the network coverage, reduce the power consumption of the nodes, and optimize network performance. In this paper, a new power control based on routing protocol (PCBRP) in the MAC layer is proposed. It operates with the help of routing protocol and calculates optimal transmission power according to the distance between neighbor nodes. A mapping table including optimal transmission power and node’s address is established during the route building procedure. The transmission power can be gotten through searching the table with the address of next hop in latter data transmission. Finally, we implement the PCBRP scheme in a real system and set up a test-bed to illustrate its operations.
Implementation of good governance by regional governments in Indonesia : the challenges

Good governance refers to government agencies' conduct in implementing innovative policies and programmes to increase the quality of public service with the ultimate aim of increasing economic growth. This paper investigates good governance in Indonesia, with a focus on its implementation by regional / local government. Indonesia's good governance implementation has attracted further attention with it being the vocal point of its current president's, Susilo Bambang Yudhoyono, presidential vision and mission. Although much research has acknowledged good governance implementation at regional/local government level, the extent of implementation has varied, suggesting partial or incomplete implementation of good governance principles. This paper investigates impeding factors that do not support effective implementation of governance protocols. Analysis of findings found nine impediment variables to good governance and a large disparity gap in good governance understanding and implementation. Further investigation of findings allows a conclusion whereby the main challenge for good governance implementation is the existence of a double edged sword; lack of good governance legal instruments as well as a lack of bureaucratic reform.
Validation and Factor Structure of the French-Language Version of the Emotional Appetite Questionnaire (EMAQ)

The concept of Emotional Eating (EE) is increasingly considered to be implicated in overeating and obesity, and in different subtypes of eating disorders. Among the self-report questionnaires assessing EE, the Emotional Appetite Questionnaire (EMAQ) includes recent advances in this area: it evaluates a broad range of emotions and situations both positive and negative, and the way they modulate food intake (decrease, stability, or increase). The main objective of our study was to further investigate the psychometric properties of the French version of the EMAQ in a large sample of students. Participants completed the EMAQ (n = 679), the DEBQ (Dutch Eating Behavior Questionnaire) (n = 75) and the CIDI-eating disorders screening (Composite International Diagnostic Interview) (n = 604). Factorial structure, reliability, and validity of the EMAQ were tested. Factorial analyses supported a two-factor (Positive and Negative) structure. The internal consistency indices were satisfactory and results suggest good test–retest reliability for the scale. Convergent and discriminant validity were confirmed from the significant correlations observed between the EMAQ scores and the DEBQ-EE subscale scores. Regarding associations with weight, whereas EMAQ negative scores were positively correlated with BMI, EMAQ positive scores were negatively correlated with BMI. Finally, EMAQ scores differed significantly depending on gender and risk for bulimia nervosa. This study supports the validity and the reliability of the EMAQ, which appears to be a promising instrument to better understand individual differences that could modulate food intake.
Semantic Similarity of Distractors in Multiple-Choice Tests: Extrinsic Evaluation

Mitkov and Ha (2003) and Mitkov et al. (2006) offered an alternative to the lengthy and demanding activity of developing multiple-choice test items by proposing an NLP-based methodology for construction of test items from instructive texts such as textbook chapters and encyclopaedia entries. One of the interesting research questions which emerged during these projects was how better quality distractors could automatically be chosen. This paper reports the results of a study seeking to establish which similarity measures generate better quality distractors of multiple-choice tests. Similarity measures employed in the procedure of selection of distractors are collocation patterns, four different methods of WordNet-based semantic similarity (extended gloss overlap measure, Leacock and Chodorow's, Jiang and Conrath's as well as Lin's measures), distributional similarity, phonetic similarity as well as a mixed strategy combining the aforementioned measures. The evaluation results show that the methods based on Lin's measure and on the mixed strategy outperform the rest, albeit not in a statistically significant fashion.
What Determines Family Structure?

We estimate the effects of policy and labor market variables on the fertility, union formation and dissolution, type of union (cohabiting versus married), and partner choices of the NLSY79 cohort of women. These demographic behaviors interact to determine the family structure experienced by the children of these women: living with the biological mother and the married or cohabiting biological father, a married or cohabiting step father, or no man. We find that the average wage rates available to men and women have substantial effects on family structure for children of black and Hispanic mothers, but not for whites. The tax treatment of children also affects family structure. Implementation of welfare reform and passage of unilateral divorce laws had much smaller effects on family structure for the children of this cohort of women, as did changes in welfare benefits. The estimates imply that observed changes from the 1970s to the 2000s in the policy and labor market variables considered here contributed to a reduction in the proportion of time spent living without a father by children of the NLSY79 cohort of women. This suggests that the observed increase in this non-traditional family structure in the U.S. in the last three decades was caused by other factors.
A hardware evaluation of memory address translation for mobile virtualization

The computing power of mobile devices has grown significantly in recent days. People begin bringing as many applications as possible to these devices. Virtualization is exactly one of these examples. However, we found most of the research on mobile virtualization lacks an appropriate evaluation at the hardware level. In this paper, we would like to study the performance of oPT, a newly proposed mechanism of memory management for mobile virtualization, at the hardware level with a comparison to the most common mechanism. However, it is complicated and costly to integrate oPT into existing hardware architectures. We instead present a simple yet efficient method based on FPGAs to verify the feasibility of oPT and evaluate its performance with several metrics. The results suggest that the hardware component adopted in oPT can operate at a frequency up to 2.3 times faster than the one in the original mechanism. When running at the same frequency, oPT can reduce the translation time by 64.7% with an increase of 2.5% in the resource usage of the FPGA. In addition to the measurement of the translation speed, the prototypes can further serve as the physical models for measuring power consumption.
Bright flares from the X-ray pulsar SWIFT J1626.6–5156

Aims. We have performed a timing and spectral analysis of the X-ray pulsar SWIFT J1626.6–5156 during a major X-ray outburst in order to unveil its nature and investigate its flaring activity. Methods. Epoch- and pulse-folding techniques were used to derive the spin period. Time-average and pulse-phase spectroscopy were employed to study the spectral variability in the flare and out-of-flare states and energy variations with pulse phase. Power spectra were obtained to investigate the periodic and aperiodic variability. Results. Two large flares, with a duration of ~450 s were observed on 24 and 25 December 2005. During the flares, the X-ray intensity increased by a factor of 3.5, while the peak-to-peak pulsed amplitude increased from 45% to 70%. A third, smaller flare of duration ~180 s was observed on 27 December 2005. The flares seen in SWIFT J1626.6–5156 constitute the shortest events of this kind ever reported in a high-mass X-ray binary. In addition to the flaring activity, strong X-ray pulsations with $P_{\rm spin}=15.3714\pm0.0003$ s characterise the X-ray emission in SWIFT J1626.6–5156. After the major outburst, the light curve exhibits strong long-term variations modulated with a 45-day period. We relate this modulation to the orbital period of the system or to a harmonic. Power density spectra show, in addition to the harmonic components of the pulsation, strong band-limited noise with an integrated 0.01-100 Hz fractional rms of around 40% that increased to 64% during the flares. A weak QPO (fractional rms 4.7%) with characteristic frequency of 1 Hz was detected in the non-flare emission. Conclusions. The timing (short X-ray pulsations, long orbital period) and spectral (power-law with cut off energy and neutral iron line) properties of SWIFT J1626.6–5156 are characteristic of Be/X-ray binaries.