Miracle-dz/UniFAR-FTUs huggingface dataset:
2009 2nd International Conference on Power Electronics and Intelligent Transportation System an Evolution Strategy with Stochastic Ranking for Solving Reactive Power Optimization

This paper presents an algorithm for solving reactive power optimization problem through the application of Evolution Strategy (ES) with stochastic ranking. In order to better improve the optimization performance and practicality, the coding method for integer data of transformer tap position is designed deliberately and the self-adaptive optimization termination condition based on variance is also presented. Under sim ulated conditions, the proposed method has been tested on IEEE-t4 and IEEE-tt8 bus systems. The optimal reactive power results obtained using improved ES are compared with initial power loss. It is shown that our strategy can decrease respectively nearly 4.43% and 4.30/0 of initial loss.
Comment spam detection by sequence mining

Comments are supported by several web sites to increase user participation. Users can usually comment on a variety of media types - photos, videos, news articles, blogs, etc. Comment spam is one of the biggest challenges facing this feature. The traditional approach to combat spam is to train classifiers using various machine learning techniques. Since the commonly used classifiers work on the entire comment text, it is easy to mislead them by embedding spam content in good content. In this paper, we make several contributions towards comment spam detection. (1) We propose a new framework for spam detection that is immune to embed attacks. We characterize spam by a set of frequently occurring sequential patterns. (2) We introduce a variant (called min-closed) of the frequent closed sequence mining problem that succinctly captures all the frequently occurring patterns. We prove as well as experimentally show that the set of min-closed sequences is an order of magnitude smaller than the set of closed sequences and yet has exactly the same coverage. (3) We describe MCPRISM, extension of the recently published PRISM algorithm that effectively mines min-closed sequences, using prime encoding. In the process, we solve the open problem of using the prime-encoding technique to speed up traditional closed sequence mining. (4) We finally need to whittle down the set of frequent subsequences to a small set without sacrificing coverage. This problem is NP-Hard but we show that the coverage function is submodular and hence the greedy heuristic gives a fast algorithm that is close to optimal. We then describe the experiments that were carried out on a large real world comment data and the publicly available Gazelle dataset. (1) We show that nearly 80% of spam on real world data can be effectively captured by the mined sequences at very low false positive rates. (2) The sequences mined are highly discriminative. (3) On Gazelle data, the proposed algorithmic enhancements are faster by at least by a factor and by an order of magnitude on the larger comment dataset.
2.5D interior/exterior sound field reproduction and its extension to narrowband speech signals

Using 3-dimensional (3D) sound sources as secondary sources in 2-dimensional (2D) sound field reproduction is termed as 2.5-dimensional (2.5D) reproduction. In this paper, a method of 2.5D sound field reproduction by using a circular array of 3D higher order (HO) loudspeakers is proposed. Based on the spherical addition theorem, interior sound field is accurately reproduced by the proposed method, which is completed with a significantly attenuated exterior sound field. Then, the proposed method is extended to speech signal reproduction. For speech signals, the approach provides a potential solution for real world speech applications as well. The test results indicate that the proposed method restrains the exterior sound field energy effectively compared to the referenced method. Furthermore, the quality of the reproduced speech signal within interest region is close to the origin signal.
Von der hochschuldidaktischen Aus- und Weiterbildung zum ganzheitlichen Faculty Development

Der Beitrag zeigt den Prozess der Entwicklung eines ganzheitlichen Faculty Development Konzepts an der Universitat St. Gallen auf. Das theoriebasierte Konzept wurde im interativen und kooperativen Prozess entwickelt. Die Orchestration der Instrumente des Faculty Develpment soll in einen langfristigen Wandel der Lernkultur munden.
Proposal on Battery-aware Counter-based Flooding over Ad Hoc Networks

Large-scale disasters often disable existing communications infrastructures or render stable power supply to communications terminals or base stations difficult. It is therefore important to study networks that can operate with low power consumption. Ad hoc networks are being studied as being resilient in a disaster situation. This paper considers cases where a specific number of nodes in an ad hoc network broadcast video and audio streams over the entire network, and proposes Battery-aware Counter-based Flooding (BCF), which reduces degradation in delivery quality, and energy consumption, and prevents nodes from being interrupted due to the complete discharge of their batteries. It also describes an evaluation of this flooding scheme using network simulation, and confirms its effectiveness.
Information inaccuracy in inventory systems: stock loss and stockout

Many companies have automated their inventory management processes and now rely on information systems when making critical decisions. However, if the information is inaccurate, the ability of the system to provide a high availability of products at the minimal operating cost can be compromised. In this paper, analytical and simulation modelling demonstrate that even a small rate of stock loss undetected by the information system can lead to inventory inaccuracy that disrupts the replenishment process and creates severe out-of-stock situations. In fact, revenue losses due to out-of-stock situations can far outweigh the stock losses themselves. This sensitivity of the performance to the inventory inaccuracy becomes even greater in systems operating in lean environments. Motivated by an automatic product identification technology under development at the Auto-ID Center at MIT, various methods of compensating for the inventory inaccuracy are presented and evaluated. Comparisons of the methods reveal that the inventory inaccuracy problem can be effectively treated even without automatic product identification technologies in some situations.
Immersive visualization for materials science data analysis using the Oculus Rift

In this paper, we propose strategies and objectives for immersive data visualization with applications in materials science using the Oculus Rift virtual reality headset. We provide background on currently available analysis tools for neutron scattering data and other large-scale materials science projects. In the context of the current challenges facing scientists, we discuss immersive virtual reality visualization as a potentially powerful solution. We introduce a prototype immersive visualization system, developed in conjunction with materials scientists at the Spallation Neutron Source, which we have used to explore large crystal structures and neutron scattering data. Finally, we offer our perspective on the greatest challenges that must be addressed to build effective and intuitive virtual reality analysis tools that will be useful for scientists in a wide range of fields.
User interfaces for human robot interactions with a swarm of robots in support to firefighters

There are many different forms of human-robot interactions, allowing a team of humans and robots to take advantage of skills of each team member. A developing area of research is focused upon the potential of robot swarms working in emergency settings. In particular we consider a swarm of robots that are capable of supporting and enhancing fire fighting operations co-operatively. This paper outlines some of the key characteristics of this emergency setting, robot swarms within it and the work conducted to develop effective human-robot interaction.
Arctic Ocean Circulation Patterns Revealed by GRACE

AbstractMeasurements of ocean bottom pressure (OBP) anomalies from the satellite mission Gravity Recovery and Climate Experiment (GRACE), complemented by information from two ocean models, are used to investigate the variations and distribution of the Arctic Ocean mass from 2002 through 2011. The forcing and dynamics associated with the observed OBP changes are explored. Major findings are the identification of three primary temporal–spatial modes of OBP variability at monthly-to-interannual time scales with the following characteristics. Mode 1 (50% of the variance) is a wintertime basin-coherent Arctic mass change forced by southerly winds through Fram Strait, and to a lesser extent through Bering Strait. These winds generate northward geostrophic current anomalies that increase the mass in the Arctic Ocean. Mode 2 (20%) reveals a mass change along the Siberian shelves, driven by surface Ekman transport and associated with the Arctic Oscillation. Mode 3 (10%) reveals a mass dipole, with mass decreasing .
Genetic Variation in the Lymphotoxin-Alpha Pathway and the Risk of Ischemic Stroke in European Populations

Background and Purpose— Several genes involved in the lymphotoxin-α cascade (LTA, LGALS2, and PSMA6) have been linked with the risk of myocardial infarction. Here, we present a comprehensive analysis of these genes in patients with ischemic stroke (IS). Methods— Twenty-three single nucleotide polymorphisms (SNPs) from LTA, LGALS2, and PSMA6 were genotyped in 601 German IS patients and 736 matched controls. SNPs and haplotypes were tested for association with overall IS, large vessel stroke, and cardioembolic stroke. Significant associations were replicated in an independent sample of 843 IS cases and 933 controls from the UK. Results— Only one SNP (rs1048990 in PSMA6) showed association with overall IS, but this was not replicated in the UK sample. Three SNPs showed significant associations with stroke subtypes (P<0.05), but none of these associations could be replicated in the UK population. Conclusions— Genetic variation in the lymphotoxin-α cascade (LTA, LGALS2, and PSMA6) is not a major risk factor for IS.
A Multilevel Force-directed Graph Drawing Algorithm Using Multilevel Global Force Approximation

In this paper we discuss an efficiency saving for multilevel force directed placement algorithms. Typically such algorithms use a Barnes Hut octree (or sometimes a grid) in order to approximate global repulsive forces. Here we instead exploit the graph coarsening structure, already in place to facilitate the multilevel scheme, in order to provide a hierarchical approximation to the global forces. Not only is this more efficient, but also it takes better account of the graph structure than an octree or a grid.
HPV Infection in Men

While much is known about the natural history of cervical human papillomavirus (HPV) infection and its consequences, including cervical intraepithelial neoplasia and cervical cancer, relatively little is known about the natural history of anogenital HPV infection and diseases in men. In part this reflects difficulties in penile sampling and visual assessment of penile lesions. Anal HPV infection and disease also remain poorly understood. Although HPV is transmitted sexually and infects the genitals of both sexes, the cervix remains biologically more vulnerable to malignant transformation than does the penis or anus in men. An understanding of male HPV infection is therefore important in terms of reducing transmission of HPV to women and improving women's health. However, it is also important due to the burden of disease in men, who may develop both penile and anal cancer, particularly among HIV-positive men who have sex with men. Improved sampling techniques of the male genitalia and cohort studies in progress should provide important information on the natural history of anogenital HPV infection and disease in men, including risk factors for HPV acquisition and transmission. The impact of HPV vaccination in women on male anogenital HPV infection will also need to be assessed.
Combination of duty and historical constraints in role-based access control

Constraints are an important topic in any access control mechanism. Always, there are demands for defining new constraints or generalizing the existing ones in order to better managing and controlling organizations and specifying new policies. Among access control models, role-based access control (RBAC) is very useful and is continuously under development. In this paper, we propose a new constraint in the RBAC model based on dependent roles that we call combination of duty (CD). Furthermore, static and dynamic types of this constraint are also defined. In addition, these constraints and the two existing constraints in RBAC model (i.e. static and dynamic separation of duty (SD)) are generalized in the base of history as static historical SD, dynamic historical SD, static historical CD and dynamic historical CD.
RPack: Routability-driven Packing Algorithm for Cluster-based FPGAs

Routing tools consume a signiicant portion of the total design time. Considering routability at earlier steps of the CAD ow would both yield better quality and faster design process. In this paper we are presenting a routability-driven clustering method for cluster-based FPGAs. Our method packs LUTs into logic clusters while incorporating routability metrics into a cost function. The objective is to minimize this routability cost function. Our cost function is consistently able to indicate improved routability. Our method yields up to 50 % improvement over existing clustering methods in terms of the number of routing tracks required. The average improvement obtained is 16.5 %.
Hereditary inclusion‐body myopathy: Clues on pathogenesis and possible therapy

Hereditary inclusion‐body myopathy (h‐IBM), or distal myopathy with rimmed vacuoles (DMRV), is an autosomal recessive disorder with onset in early adult life and a progressive course leading to severe disability. h‐IBM/DMRV is due to mutations of a gene (GNE) that codes for a rate‐limiting enzyme in the sialic acid biosynthetic pathway. Despite the identification of the causative gene defect, it has not been unambiguously clarified how GNE gene mutations impair muscle metabolism. Although numerous studies have indicated a key role of hyposialylation of glycoproteins in h‐IBM/DMRV pathogenesis, others have demonstrated new and unpredicted functions of the GNE gene, outside the sialic acid biosynthetic pathway, that may also be relevant. This review illustrates the clinical and pathologic characteristics of h‐IBM/DMRV and the main clues available to date concerning the possible pathogenic mechanisms and therapeutic perspectives of this disorder. Muscle Nerve, 2009
Feedback Based Real-Time Fault Tolerance – Issues and Possible Solutions

Fault tolerance is an important aspect in realtime computing. In real-time systems, tasks could be faulty due to various causes. Faulty tasks may compromise the safety and performance of the whole system and even cause disastrous consequences. In this paper, we study the possibilities of applying feedback control of software execution to real-time systems for fault tolerance purposes. A new fault tolerance architecture called ORTGA (On-demand Real-Time GuArd) is proposed. We argue the advantages and benefits of using ORTGA for fault tolerance in real-time systems. We also list research problems faced by ORTGA and point out directions for possible solutions.
High-frequency X-ray variability as a mass estimator of stellar and supermassive black holes

There is increasing evidence that supermassive black holes in active galactic nuclei (AGN) are scaled-up versions of Galactic black holes. We show that the amplitude of high-frequency X-ray variability in the hard spectral state is inversely proportional to the black hole mass over eight orders of magnitude. We have analysed all available hard-state data from RXTE of seven Galactic black holes. Their power density spectra change dramatically from observation to observation, except for the high-frequency (≥ 10 Hz) tail, which seems to have a universal shape, roughly represented by a power law of index -2. The amplitude of the tail, C M (extrapolated to 1 Hz), remains approximately constant for a given source, regardless of the luminosity, unlike the break or quasi-periodic oscillation frequencies, which are usually strongly correlated with luminosity. Comparison with a moderate-luminosity sample of AGN shows that the amplitude of the tail is a simple function of black hole mass, C M = C/M, where C ≈ 1.25 M ⊙ Hz -1 . This makes C M a robust estimator of the black hole mass which is easy to apply to low-to moderate-luminosity supermassive black holes. The high-frequency tail with its universal shape is an invariant feature of a black hole and, possibly, an imprint of the last stable orbit.
Control of mobility assistive robot for human fall prevention

Mobility assistance robots can provide physical and balance support in order to prevent falls of elderly or patients. In this paper we propose a fall prevention approach for a mobility assistance robot equipped with a pair of actuated arms. The algorithm evaluates the user's Extrapolated Center of Mass (XCOM) and determines required supportive forces to be provided to the user in order to prevent user falls. We further present how the required forces are realized by the robot. Performance of the proposed approach is tested in experiments by a mobility assistance robot supporting subjects provoking falls in different directions.
Evaluation of three different dental implants in ligature-induced peri-implantitis in the beagle dog. Part II. Histology and microbiology.

The purpose of this study was to evaluate experimental peri-implant breakdown microbiologically, radiographically and histologically. Hydroxyapatite-coated, titanium plasma-sprayed, and titanium alloy surfaces were investigated. Eighty-four implants were placed in 14 beagle dogs. Standardized radiographs and microbiologic samples (DNA) were obtained. Dogs were sacrificed at 3 and 6 months. Undecalcified histologic sections were prepared. Thickness of hydroxyapatite coating, changes in crestal bone height, and marginal changes in osseointegration were measured. Vertical bone loss was computed. Radiographs were analyzed using computer-assisted densitometric image analysis (CADIA). Microbial analysis (DNA) did not clearly favor any of the examined surfaces. CADIA did not show differences among implant surfaces. No significant differences among the three implants were noted for histometry, except the experimental titanium plasma-sprayed surface showed an increase in vertical bone loss 6 months (P < .05). Thickness of hydroxyapatite was decreased in active peri-implantitis sites (P < .05). Clinical attachment level was shown to be the most sensitive clinical parameter for detecting histologic changes. All implants were equally susceptible to peri-implantitis.
Joint Optimization of Power and Data Transfer in Multiuser MIMO Systems

We present an approach to solve the nonconvex optimization problem that arises when designing the transmit covariance matrices in multiuser multiple-input multiple-output (MIMO) broadcast networks implementing simultaneous wireless information and power transfer (SWIPT). The MIMO SWIPT problem is formulated as a general multiobjective optimization problem, in which data rates and harvested powers are optimized simultaneously. Two different approaches are applied to reformulate the (nonconvex) multiobjective problem. In the first approach, the transmitter can control the specific amount of power to be harvested by power transfer whereas in the second approach the transmitter can only control the proportion of power to be harvested among the different harvesting users. We solve the resulting formulations using the majorization-minimization (MM) approach. The solution obtained from the MM approach is compared to the classical block-diagonalization (BD) strategy, typically used to solve the nonconvex multiuser MIMO network by forcing no interference among users. Simulation results show that the proposed approach improves over the BD approach both the system sum rate and the power harvested by users. Additionally, the computational times needed for convergence of the proposed methods are much lower than the ones required for classical gradient-based approaches.
Design and Analysis of 2:1 Multiplexer for High Performance Digital Systems

This paper is based on pre layout simulations of a proposed design of 2:1 multiplexer circuit that shows improved performance than the existing 2:1 multiplexer circuit. The proposed design demonstrates the superiority in terms of power–delay product, temperature sustainability and frequency when compared with existing 2:1 multiplexer and comparative analysis on 90nm and 45nm standard model on Tanner EDA tool version 13.0.
SO 2 emissions from Popocatépetl volcano: emission rates and plume imaging using optical remote sensing techniques

Sulfur dioxide emissions from the Popocatepetl volcano in central Mexico were measured during the MILAGRO field campaign in March 2006. A stationary scanning DOAS (Differential Optical Absorption Spectrometer) was used to monitor the SO2 emissions from the volcano and the results were compared with traverses done with a COSPEC from the ground and a DOAS instrument on board an ultra-light aircraft. Daytime evolutions as well as day-to-day variation of the SO2 emissions are reported. A value of 2.45±1.39 Gg/day of SO2 is reported from all the daily averages obtained during the month of March 2006, with large variation in maximum and minimum daily averages of 5.97 and 0.56 Gg/day, respectively. The large short-term fluctuations in the SO2 emissions obtained could be confirmed through 2-D visualizations of the SO2 plume measured with a scanning imaging infrared spectrometer. This instrument, based on the passive detection of thermal radiation from the volcanic gas and analysis with FTIR spectrometry, is used for the first time for plume visualization of a specific volcanic gas. A 48-h forward trajectory analysis indicates that the volcanic plume was predominantly directed towards the Puebla/Tlaxcala region (63%), followed by the Mexico City and Cuernavaca/Cuautla regions with 19 and 18% occurrences, respectively. 25% of the modeled trajectories going towards the Puebla region reached altitudes lower than 4000 m a.s. l. but all trajectories remained over this altitude for the other two regions.