Miracle-dz/UniFAR-FTUs huggingface dataset:
Survey of Methods and Algorithms of Robot Swarm Aggregation

The paper considers the problem of swarm aggregation of autonomous robots with the use of three methods based on the analogy of the behavior of biological objects. The algorithms substantiating the requirements for hardware realization of sensor, computer and network resources and propulsion devices are presented. Techniques for efficiency estimation of swarm aggregation via space-time characteristics are described. The developed model of the robot swarm reconfiguration into a predetermined three-dimensional shape is presented.
Scalar Anonymous System Model Based on DC-Nets

This paper proposed scalar anonymous system model, which partitions an anonymous system based on DC-Nets into groups of different size and provides anonymity degrees at different cost. The protocol, which is used for intra-group and inter-group communication, was described and analyzed in detail. The analysis results, including theoretical analysis and simulation experiments, show that this system offers good scalability, strong security, better efficiency, and provides tradeoff between anonymity and cost for users.
The Antioxidant Activity Analysis of the Ethanolic Extract of Banana Peel (Musa paradisiaca forma typica) with DPPH Method

: Oxidative stress is one of the triggers of various degenerative diseases and metabolic syndrome. Antioxidants are compounds that exhibit the activities of neutralizing and scavenging radical molecules, which induce the process of oxidative reactions in the body. One of the many antioxidant compounds found in plants is flavonoids. Banana peels are known to contain flavonoid compounds. This study aimed to determine the antioxidant activity of the ethanolic extract of banana peel ( Musa paradisiaca forma typica ). The ethanolic extract of banana peel ( Musa paradisiaca forma typica ) was prepared using maceration with 96% ethanol as the solvent. The product was concentrated in a vacuum rotary evaporator and water bath. The antioxidant activity test was performed with the DPPH method using various concentrations of extract, namely 1, 2, 3, and 4 ppm. This research found that the ethanolic extract of banana peel ( Musa paradisiaca forma typica ) had an IC 50 value of 4.4 ppm. The ethanolic extract of banana peel ( Musa paradisiaca forma typica ) has a very strong antioxidant activity.
Routing Caches in Software Packet Forwarding Devices

to the rise of internet capable devices and the need to route their traffic, it is a challenge for every routing device to process the massive load in an acceptable period of time. Therefore to speed up the process of routing and to avoid the expenses for frequently upgrading Router hardware, the route cache has been invented. The route cache stores recently used routes and prevents time expensive lookups in the full Forwarding Information Base. This paper describes the packet forwarding process implemented in the Linux kernel. While the focus lies on the implemented routing cache in the Linux kernel, which was removed in version 3.7. Within the explanations of the routing cache behaviors, the Garbage Collector is also taken into account in regards of optimization and efficiency. It is a challenge to make the routing cache perform efficiently in every best- and worst-case traffic scenario. Also denial of service attacks specifically directed at the routing cache and the Garbage Collector are addressed as well as the cache hiding problem. Additionally, the open source software Open vSwitch in regards of the routing cache is discussed.
The Evaporation and Survival of Cluster Galaxy Coronae. I. The Effectiveness of Isotropic Thermal Conduction Including Saturation

We simulate the evolution of cluster galaxy hot interstellar medium (ISM) gas that is a result of the effects of ram pressure and thermal conduction in the intracluster medium (ICM). At the density and temperature of the ICM, the mean free paths of ICM electrons are comparable to the sizes of galaxies, therefore electrons can efficiently transport heat that is due to thermal conduction from the hot ICM to the cooler ISM. Galaxies consisting of dark matter halos and hot gas coronae are embedded in an ICM-like “wind tunnel” in our simulations. In this paper, we assume that thermal conduction is isotropic and include the effects of saturation. We find that as heat is transferred from the ICM to the ISM, the cooler denser ISM expands and evaporates. This process is significantly faster than gas loss due to ram pressure stripping; for our standard model galaxy, the evaporation time is 160 Myr, while the ram pressure stripping timescale is 2.5 Gyr. Thermal conduction also suppresses the formation of shear instabilities, and there are no stripped ISM tails since the ISM evaporates before tails can form. Observations of long-lived X-ray emitting coronae and ram pressure stripped X-ray tails in galaxies in group and cluster environments therefore require that thermal conduction is suppressed or offset by some additional physical process. The most likely process is anisotropic thermal conduction that is due to magnetic fields in the ISM and ICM, which we simulate and study in the next paper in this series.
Data Driven Prognostics for Rotating Machinery

A prognostic is an estimate of the remaining useful life of a monitored part. While diagnostics alone can support condition based maintenance practices, prognostics facilitates changes to logistics which can greatly reduce cost or increase readiness and availability. A successful prognostic requires four processes: 1) feature extraction of measured data to estimate damage; 2) a threshold for the feature, which, when exceeded, indicates that it is appropriate to perform maintenance; 3) given a future load profile, a model that can estimate the remaining useful life of the component based on the current damage state; and 4) an estimate of the confidence in the prognostic. This chapter outlines a process for data-driven prognostics by: describing appropriate condition indicators (CIs) for gear fault detection; threshold setting for those CIs through fusion into a component health indicator (HI); using a state space process to estimate the remaining useful life given the current component health; and a state estimate to quantify the confidence in the estimate of the remaining useful life. DOI: 10.4018/978-1-4666-2095-7.ch006
Annihilation of vortex dipoles in an oblate Bose–Einstein condensate

We theoretically explore the annihilation of vortex dipoles, generated when an obstacle moves through an oblate Bose–Einstein condensate, and examine the energetics of the annihilation event. We show that the grey soliton, which results from the vortex dipole annihilation, is lower in energy than the vortex dipole. We also investigate the annihilation events numerically and observe that annihilation occurs only when the vortex dipole overtakes the obstacle and comes closer than the coherence length. Furthermore, we find that noise reduces the probability of annihilation events. This may explain the lack of annihilation events in experimental realizations.
Researching and Building of the Education Resources Ontology Based on Metadata

Web is increasingly becoming the main platform of exchanging information and accessing knowledge in the field of education.The meaning of semantic Web is to use metadata language for the semantic description of the network information resources,to make the computer achieve a higher-level,knowledge-based intelligent application. Combining with the status of college education resources construction,this paper imports the prototype of the spiral model as the construction method of ontology in the area of education resource,and has built the education resources' ontology.This paper has made the exploration for realizing education resources' application in the semantic level.
THE NATURE OF TRANSITION CIRCUMSTELLAR DISKS. III. PERSEUS, TAURUS, AND AURIGA

As part of an ongoing program aiming to characterize a large number of Spitzer-selected transition disks (disks with reduced levels of near-IR and/or mid-IR excess emission), we have obtained (sub)millimeter wavelength photometry, high-resolution optical spectroscopy, and adaptive optics near-infrared imaging for a sample of 31 transition objects located in the Perseus, Taurus, and Auriga molecular clouds. We use these ground-based data to estimate disk masses, multiplicity, and accretion rates in order to investigate the mechanisms potentially responsible for their inner holes. Following our previous studies in other regions, we combine disk masses, accretion rates, and multiplicity data with other information, such as spectral energy distribution morphology and fractional disk luminosity, to classify the disks as strong candidates for the following categories: grain-growth-dominated disks (seven objects), giant planet-forming disks (six objects), photoevaporating disks (seven objects), debris disks (11 objects), and cicumbinary disks (one object, which was also classified as a photoevaporating disk). Combining our sample of 31 transition disks with those from our previous studies results in a sample of 74 transition objects that have been selected, characterized, and classified in a homogenous way. We discuss this combined high-quality sample in the context of the current paradigm of the evolution and dissipation of protoplanetary disks and use its properties to constrain different aspects of the key processes driving their evolution. We find that the age distribution of disks that are likely to harbor recently formed giant planets favors core accretion as the main planet formation mechanism and a ∼2–3 Myr formation timescale.
NiCT at TREC 2010: Related Entity Finding.

This paper describes experiments carried out at NiCT for the TREC 2010 Entity track. Our studies mainly focus on improving the NE Extraction and Ranking Entity modules, both of them play vital roles in Related Entity Finding system. In our last year’s system, only a Named Entity Recognition tool is used to extract entities that match coarse-grained types of target entities such as organization, person, etc. In this year, dependency tree-based patterns learnt automatically are employed to filter out entities that do not match fine-grained types of target entities such as university, airline, author, etc. In the Entity Ranking part, we propose a dependency tree-based similarity method and incorporate homepage information to improve ranking.
Measuring Similarity between Microblog Users and Its Application

Analyzing user interest and building user profile is very important for microblog's user relationship analysis,which is the fundamental work for social network formation and analysis. This paper mainly discusses approaches of microblog's user relationship analysis.We view microblog's social network as a weighted undirected graph,where users are treated as nodes linked by edges,and the weights of edges mean the relationship strengths between users.This paper defines user relationship strength as user similarity,and proposes several user similarity estimation approaches by the use of various attribute information of users such as background information,tweets and social information respectively and systematically investigated them by experiments,the experimental results showed that social information-based user similarity achieved the best performance.In addition,we tested them in user recommending experiments, and social information-based user similarity also got the best recommending results.Finally we applied social information-based user similarity to generate microblog's social network,called as user similarity network,on which we conducted community mining experiments,the experimental results showed our approach is of remarkable performance.
Sensory integration in single neurons of the cerebellar cortex

To understand the computations performed by the neurons within cortical structures it is essential to determine the relationship between sensory-evoked synaptic input and the resulting pattern of output spikes. In the cerebellum, granule cells constitute the input layer, translating mossy fibre signals into parallel fibre input to Purkinje cells. Until now their small size and dense packing have precluded recordings from individual granule cells in vivo. Here I use whole-cell patch-clamp recordings to show the relationship between mossy fibre synaptic currents evoked by somatosensory stimulation and the resulting granule cell output patterns. Granule cells exhibited low ongoing firing rates, due in part to dampening of excitability by a tonic inhibitory conductance mediated by gamma-aminobutyric acid type A (GABAA) receptors. Sensory stimulation produced bursts of mossy fibre excitatory postsynaptic currents that summate and trigger bursts of spikes. Remarkably, burst responses were evoked by only a few quantal excitatory postsynaptic currents. Recordings from putative mossy fibre terminals suggest that sensory-evoked granule cell spiking may result from high frequency activation of single mossy fibres. These results reveal that the input layer of the cerebellum balances exquisite sensitivity with a high signal-to-noise ratio. Granule cell bursts are optimally suited to trigger glutamate receptor activation and plasticity at downstream synapses, providing a link between input representation and memory storage in the cerebellum. Purkinje cells integrate inputs from other neurons in the cerebellar cortex to provide the sole output of the cerebellar cortex. Using whole-cell and cell-attached recordings, I describe a profound and robust bistability of spike output and membrane potential in these cells. Membrane potential toggles between a hyperpolarised down state and an active up state, in a complex spike-dependent manner. Sensory-evoked complex spikes reliably induced state transitions in both directions, indicating that bistability may be relevant for sensory processing in the cerebellum.
Orthogonal graph visualization: the three-phase method with applications

In this dissertation, we study automated graph visualization in the orthogonal style. Our core idea is to break the problem of generating an orthogonal drawing into three phases: first placing the nodes as points, then approximately routing the edges, and finally converting nodes to boxes and assigning edges to ports at nodes. With different implementations of the phases, this scheme yields a wide range of results. We obtain drawings which improve on previously known results in terms of the area and the number of bends, and study drawings of planar graphs and of complete graphs. Breaking the drawing generation into three phases results in a highly flexible algorithm, which permits to add various additional requirements, such as constraints on the placement of nodes, the size of nodes, and the assignment of ports. This study of orthogonal visualization algorithms was initiated by the need to add an orthogonal library to a commercially available layout toolkit, and major parts of this thesis have been implemented as part of this toolkit.
Automatic Segmentation of Lung Carcinoma Using 3D Texture Features in Co-registered 18-FDG PET/CT Images

Automatic Segmentation of Lung Carcinoma Using 3D Texture Features in Co-Registered 18-FDG PET/CT Images Daniel Markel Master of Science Graduate Department of Medical Biophysics University of Toronto 2011 Variability between oncologists in defining the tumor during radiation therapy planning can be as high as 700% by volume. Robust, automated definition of tumor boundaries has the ability to significantly improve treatment accuracy and efficiency. However, the information provided in computed tomography (CT) is not sensitive enough to differences between tumor and healthy tissue and positron emission tomography (PET) is hampered by blurriness and low resolution. The textural characteristics of thoracic tissue was investigated and compared with those of tumors found within 21 patient PET and CT images in order to enhance the differences and the boundary between cancerous and healthy tissue. A pattern recognition approach was used from these samples to learn the textural characteristics of each and classify voxels as being either normal or abnormal. The approach was compared to a number of alternative methods and found to have the highest overlap with that of a oncologist’s tumor definition.
Data Warehouse From Architecture To Implementation

data warehouse from architecture to implementation is available in our digital library an online access to it is set as public so you can get it instantly. Our book servers saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the data warehouse from architecture to implementation is universally compatible with any devices to read.
Customer-Defined Quality and Quality-Based Product Portfolio A Theoretical Framework on Quality

Most of the studies on quality to date are viewpoints from management, while the economics on quality were often ignored. In this paper, we emphasize that the principle of utility is the key to understand customer-defined quality. Based on the reviews and discussions on fundamental, economic perspectives on quality, especially the references of Taguchi’s loss function and financial portfolio theory, we propose a preliminary theory and analytical framework on quality-based product portfolio.
Subaru Constraint on Circular Polarization in I-Band Emission from the Magnetar 4U 0142+61

We present the first imaging circular polarimetry of the anomalous X-ray pulsar (AXP) 4U 0142+61 at optical wavelengths. The AXP is the only magnetar that has been well studied at optical and infrared wavelengths, and is known to have a complicated broad-band spectrum over the wavelength range. The optical polarimetric observation was carried out with the 8.2-m Subaru telescope at the I-band. From the observation, the degree of circular polarization, V, was measured to be V = 1.1 +/- 2.0%, or vertical bar V vertical bar <= 4.3% (90% confidence). The relatively large uncertainty was due to the faintness of the source (I = 23.4-24.0). Considering the currently suggested models for optical emission from magnetars, our result is not sufficiently conclusive to discriminate the models. We suggest that because linear polarization is expected to be strong in the models, linear polarimetry of this magnetar should be conducted.
A Chinese Spoken Dialogue System about Real-time Stock Information

The paper describes a Chinese spoken dialogue system about real-time stock information, which integrates automatic speech recognition (ASR), natural language understanding (NLU), dialogue management and speech generator. This paper gives a model of situation semantic frame - key technology in our system, which can deal with the difficulty of spoken language understanding system.
Gravitational Wave from Phase Transition inside Neutron Stars

In this work, we propose a new source for gravitational wave (GW) radiation associated with the quantum chromodynamics (QCD) phase transition in the inner cores of neutron stars. The mechanism is based on the bubble dynamics during the first-order phase transition from nuclear matter to quark matter. We identify the characteristic frequency to be of order $\omega_c\sim 10^6~{\rm rad/s}$ for this kind of sources and the strain magnitude ($h\sim 10^{-24}$ for a neutron star at a distance of $0.1~{\rm Mpc}$) reachable by future GW detectors. The GW spectra are shown to be useful to check the transition nature at high baryon chemical potential as well as to constrain the radius and density of the inner cores, which are still indistinct up to now.
Cross-modal attribute recognition in fashion

In this paper we focus on cross-modal (visual and textual) attribute recognition within the fashion domain. Particularly, we investigate two tasks: 1) given a query image, we retrieve textual descriptions that correspond to the visual attributes in the query; and 2) given a textual query that may express visual characteristics, we retrieve relevant images that exhibit the required visual attributes. To this end, we collected a dataset that consists of 53,689 images coupled with textual descriptions in natural language. The images contain fashion garments that display a great variety of visual attributes. Examples of visual attributes in fashion include colors (e.g. green, purple), shapes (e.g., v-neck, a-line, one-shoulder, floor-length), patterns (e.g., floral, striped), textures (e.g., silk, chiffon, beading, sequin), and even occasions (e.g., wedding, evening, wear-to-work). Unlike previous work, the text provides a rough and noisy description of the item in the image. We extensively analyze this dataset in the context of cross-modal attribute recognition. We investigate two latent variable models to bridge between textual and visual data: bilingual latent Dirichlet allocation and canonical correlation analysis. We use visual and textual features and report promising results1.
Spectroscopy techniques and the measurement of molecular radical densities in atmospheric pressure plasmas

Cold atmospheric pressure plasmas (CAPs) are finding an increasing number of applications in diverse fields such as sterilization, medicine and dentistry, because they induce chemical reactivity at near-ambient temperature. These plasmas are usually generated in noble gas flows which propagate into air, resulting in the production of a wide variety of species which can cause primary and secondary chemistry in both the gas and liquid phases. Detailed understanding of this low temperature reactivity requires selective and sensitive measurements of radical species. In this review we focus upon several techniques from a methodological point of view that are suitable for the sensitive detection of reactive species, or show promise for this purpose. A range of traditional and contemporary spectroscopic methods for measuring across different phases is highlighted in an attempt to present a ‘detection landscape’ for CAP-borne radicals.
Pose-Robust Recognition of Low-Resolution Face Images

Face recognition is one of the most successful applications in the field of image processing. Most robust face methods are difficult to improve their performance under certain environments. The paper proposes a method for robust face recognition and implementing a tagging process in video surveillance. It provides an interface for communicating with camera or webcam capturing images storing and sending them along with relevant information. Video based face recognition is much efficient in many real world applications. Motion detection is the first step before the face detection. The face image is divided in to several regions and finding the weight for each region. Face is one of the most suitable biometrics for surveillance applications. It is client server architecture. A user interface is provided at the client and the user interacts with the Web cam view and captures the image. The user sends the relevant data to server for verification. The authentication is based on face matching. After motion detection the face is extracted from the image and calculates the corresponding eigen vectors of each face region. If the face matches with the image in the database the server provides a tagging mechanism. Face is calculated with PCA, LCA, LDA and local binary pattern. There is additional facility provided at the server side to views and generates reports which provide visitor"s information. The main advantage of this system is that the security in-charge need not be positioned at the secured area.