Miracle-dz/UniFAR-FTUs huggingface dataset:
Routing-as-a-Service (RaaS): A Framework for Tenant-Directed Route Control in Data Center

In a multi-tenant data center environment, the current paradigm for route control customization involves a labor-intensive ticketing process where tenants submit route control requests to the landlord. This results in tight coupling between tenants and the landlord, extensive human resource deployment, and long ticket resolution time. We propose Routing-as-a-Service (RaaS), a framework for tenant-directed route control in data centers. We show that RaaS-based implementation provides a route control platform where multiple tenants can perform route control independently with little administrative involvement, and the landlord can set the overall network policies. RaaS-based solutions can run on commercial off-the-shelf (COTS) hardware and leverage existing technologies, so it can be implemented in existing networks without major infrastructural overhaul. We present the design of RaaS, introduce its components, and evaluate a prototype based on RaaS.
User-Driven Programming Support for Rapid Visualization Authoring in D3

implement recommended interactions with a single click. We demonstrate these features in Minerva, an automated development environment for programming interactive D3 visualizations. In a user study with 20 D3 users, we find that Minerva enables participants to program interactive visualizations in D3 with significantly less time and effort. All our data and code is shared on OSF:https: //osf.io/97mru/? view_only=f259e07ca33441128d5fdc1fd862c369.
SmartCluster: Utilizando Dados Públicos para Agrupar Cidades Inteligentes por Domínios [SmartCluster: Using Public Data to Group Smart Cities by Domains]

There are currently several domains and indicators around the world that serve to categorize Smart Cities, however, there are not enough studies on the comparison of these cities in Brazil. The public databases have data on various indicators and domains, and these data need to be standardized and clustered to allow a comparison between the smart cities. Make an analysis based on clustering similarity smart cities indicators can bring to the municipal managers a better understanding of the strategic possibilities of resource optimization.
extensibility

iv 1 Goals of This Document 1 2 On Extensibility 3 2.1 Extensibility–Definitions 3 2.2 Extensibility as a Quality Attribute 4 3 Evaluating the Extensibility of an Architecture 5 3.1 Measuring Extensibility 5 3.1. 1 Management of Dependencies 8 3.1. 2 Management of System State 8 3.1. 3 Management of Deployments 9 3.2 Reasoning About Extensibility Characteristics 10 4 Extensibility Scenarios 12 4.1 General Scenario for Extensibility 13 4.2 Example Scenarios for Extensibility 14 4.2.1 Scenario 1: New Track Information 14 4.2.2 Scenario 2: New Phase Discriminator 15 4.2. 3 Scenario 3: New Input Validation Filter 15 4.2. 4 Scenario 4: New Location View 15 4.2. 5 Scenario 5: New Format for Importing Data 16 5 Mechanisms for Achieving Extensibility 17 5.1 Tactics 17 5.1. 1 Managing Dependencies 19 5.1. 2 Managing State 21 5.1. 3 Managing Deployments 22 5.2 Patterns 23 5.2.1 Microkernel/Plug-In 24 5.2.2 Layers 25 5.2. 3 Publish-Subscribe 26 5.2. 4 Intercepting Filter 27 6 Analyzing for Extensibility 28 6.1 Tactics-Based Questionnaire 29 6.2 Architecture Analysis Checklist for Extensibility 31 7 Playbook for an Architecture Analysis of Extensibility 34 7.1 Step 1–Collect Artifacts 34 7.2 Step 2–Identify the Mechanisms Used to Satisfy the Requirement 35 7.3 Step 3–Locate the Mechanisms in the Architecture 36 7.4 Step 4–Identify Derived Decisions and Special Cases 37 7.5 Step 5–Assess Requirement Satisfaction 39 7.6 Step 6–Assess Impact on Other Quality Attribute Requirements 40 7.7 Step 7–Assess the Costs/Benefits of the Architecture Approach 41
Statistical physics analysis of the computational complexity of solving random satisfiability problems using backtrack algorithms

The computational complexity of solving random 3-Satisfiability (3-SAT) problems is investigated using statistical physics concepts and techniques related to phase transitions, growth processes and (real–space) renormalization flows. 3-SAT is a representative example of hard computational tasks; it consists in knowing whether a set of αN randomly drawn logical constraints involving N Boolean variables can be satisfied altogether or not. Widely used solving procedures, as the Davis-Putnam-Loveland-Logemann (DPLL) algorithm, perform a systematic search for a solution, through a sequence of trials and errors represented by a search tree. The size of the search tree accounts for the computational complexity, i.e. the amount of computational efforts, required to achieve resolution. In the present study, we identify, using theory and numerical experiments, easy (size of the search tree scaling polynomially with N) and hard (exponential scaling) regimes as a function of the ratio α of constraints per variable. The typical complexity is explicitly calculated in the different regimes, in very good agreement with numerical simulations. Our theoretical approach is based on the analysis of the growth of the branches in the search tree under the operation of DPLL. On each branch, the initial 3-SAT problem is dynamically turned into a more generic 2+p-SAT problem, where p and 1 − p are the fractions of constraints involving three and two variables respectively. The growth of each branch is monitored by the dynamical evolution of α and p and is represented by a trajectory in the static phase diagram of the random 2+p-SAT problem. Depending on whether or not the trajectories cross the boundary between satisfiable and unsatisfiable phases, single branches or full trees are generated by DPLL, resulting in easy or hard resolutions. Our picture for the origin of complexity can be applied to other computational problems solved by branch and bound algorithms. PACS. 05.10. -a Computational methods in statistical physics and nonlinear dynamics – 05.70. -a Thermodynamics – 89.20. Ff Computer science and technology
MIT Open Access

Oocytes are stockpiled with proteins and mRNA that are required to drive the initial mitotic divisions of embryogenesis. But are there proteins specific to meiosis whose levels must be decreased to begin embryogenesis properly? The Drosophila protein Cortex (Cort) is a female, meiosis-specific activator of the Anaphase Promoting Complex/Cyclosome (APC/C), an E3 ubiquitin ligase. We performed immunoprecipitation of Cortex followed by mass spectrometry, and identified the Polo kinase inhibitor Matrimony (Mtrm) as a potential interactor with Cort. In vitro binding assays showed Mtrm and Cort can bind directly. We found Mtrm protein levels to be reduced dramatically during the oocyte-to-embryo transition, and this downregulation did not take place in cort mutant eggs, consistent with Mtrm being a substrate of APC Cort . We showed that Mtrm is subject to APC Cort -mediated proteasomal degradation and have identified a putative APC/C recognition motif in Mtrm that when mutated partially stabilized the protein in the embryo. Furthermore, overexpression of Mtrm in the early embryo caused aberrant nuclear divisions and developmental defects, and these were enhanced by decreasing levels of active Polo. These data indicate APC Cort ubiquitylates Mtrm at the oocyte-to-embryo transition, thus preventing excessive inhibition of Polo kinase activity due to Mtrm’s presence.
Learning-Based Approaches for Matching Web Data Entities

Entity matching is a key task for data integration and especially challenging for Web data. Effective entity matching typically requires combining several match techniques and finding suitable configuration parameters, such as similarity thresholds. The authors investigate to what degree machine learning helps semi-automatically determine suitable match strategies with a limited amount of manual training effort. They use a new framework, Fever, to evaluate several learning-based approaches for matching different sets of Web data entities. In particular, they study different approaches for training-data selection and how much training is needed to find effective combined match strategies and configurations.
Silicon Photonics Design From Devices To Systems

Physics of Photonic DevicesSilicon PhotonicsSilicon Photonics DesignOptoelectronicsSilicon PhotonicsSilicon Photonics DesignModeling of Photonic DevicesSilicon Photonics for HighPerformance Computing and BeyondMonolithic Nanoscale Photonics-Electronics Integration in Silicon and Other Group IV ElementsSilicon Photonics for High-Performance Computing and BeyondSilicon Photonics IISilicon PhotonicsRobust Design Algorithms for Silicon PhotonicsGuidelines for Facility Siting and LayoutSilicon Photonics BloomPhotonic Interconnects for Computing SystemsPhotonic Integration and Photonics-Electronics Convergence on Silicon PlatformHandbook of Silicon PhotonicsHigh-Speed Photonics InterconnectsSilicon PhotonicsFundamentals of Optical WaveguidesSilicon PhotonicsDiode Lasers and Photonic Integrated CircuitsProject Management, Planning and ControlNeuromorphic PhotonicsSilicon Photonics DesignSilicon-Based PhotonicsIntegrated PhotonicsPrinciples of Photonic Integrated CircuitsSilicon Photonics DesignTheoretical Foundations and Application of Photonic CrystalsElectromagnetic Simulation Using the FDTD MethodFundamentals of Electro-Optic Systems DesignPhotonic Network-on-Chip DesignPhotonic DevicesGraphene PhotonicsPhotonic MEMS DevicesIntegrated PhotonicsAdvances in Reactor Measurement and ControlProgrammable Integrated Photonics
Correspondences Rapid extraction of mean emotion and gender from sets of faces

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Temperature-aware NBTI modeling and the impact of input vector control on performance degradation

As technology scales, Negative Bias Temperature Instability (NBTI), which causes temporal performance degradation in digital circuits by affecting PMOS threshold voltage, is emerging as one of the major circuit reliability concerns. In this paper, we first investigate the impact of NBTI on PMOS devices and propose a novel temporal performance degradation model for digital circuits considering the temperature difference between active and standby mode.For the first time, the impact of input vector control (to minimize standby leakage) on the NBTI is investigated. Minimum leakage vectors, which lead to minimum circuit performance degradation and remains maximum leakage reduction rate, are selected and used during the standby mode. Furthermore, the potential to save the circuit performance degradation by internal node control techniques during circuit standby mode is discussed. Our simulation results show that: 1) the active and standby time ratio and the standby mode temperature have considerable impact on the circuit performance degradation; 2) the NBTI-aware IVC technique leads to an average 3% savings of the total circuit degradation; while the potential of internal node control may lead to 10% savings of the total circuit degradation.
International Journal of Modern Trends in Engineering and Research

: Reverse dictionaries are widely used for a reference work that is organized by concepts, phrases, or the definitions of words. This paper describe the many challenges inherent in building a reverse lexicon, and map drawback to the well known abstract similarity problem The criterion web search engines are basic versions of system; they take benefit of huge scale which permits inferring general interest concerning documents from link information. This paper describe the basic study of database driven reverse dictionary using three large-scale dataset namely person names, general English words and biomedical concepts. This paper analyzes difficulties arising in the use of documents produced by Reverse dictionary.
Under Consideration for Publication in Theory and Practice of Logic Programming Logic Programs with Monotone Abstract Constraint Atoms *

We introduce and study logic programs whose clauses are built out of monotone constraint atoms. We show that the operational concept of the one-step provability operator generalizes to programs with monotone constraint atoms, but the generalization involves nondeterminism. Our main results demonstrate that our formalism is a common generalization of (1) normal logic programming with its semantics of models, supported models and stable models, (2) logic programming with weight atoms (lparse programs) with the semantics of stable models, as defined by Niemelä, Simons and Soininen, and (3) of dis-junctive logic programming with the possible-model semantics of Sakama and Inoue.
Implementation of Multi-Channel Energy Detection Spectrum Sensing Technique in Cognitive Radio Networks Using LabVIEW on USRP-2942R

As a result of the huge demand and enormous usage of radio frequency spectrum and its limited resources, the concept of cognitive radio plays a significant role in the efficient usage of spectrum specifically when the primary user (PU); who purchased/rented this frequency band, is not fully utilizing the frequency band. Hence, sensing the spectrum helps cognitive radio frameworks recognizing the free portions of the spectrum to use them without causing any interference to the PU. In this paper, we implement the energy detection spectrum sensing technique which senses the presence/absence of PUs, using Lab View platform and universal software radio peripheral (USRP). Two National Instruments USRP-2942R transceivers (400 MHz-4.4 GHz) are used to transmit/receive the signal; each one has two channels which support transmitting more than one signal and also detecting them accurately at the receiver. The industrial, scientific and medical (ISM) spectrum is used since it is a free spectrum. Several trials are implemented to decide if the PU signal is detected or not; detectors results are getting compared to a threshold value. If PU signal is not detected, the secondary user (SU) can utilize the channel at this time.
Analele ştiinţifice ale Universităţii “Al

The paper emphasizes the most important histo-anatomical aspects of Sedum telephium L. ssp. maximum (L.) Krock. from Crassulaceae family. Its root, of secondary structure, is protected by a quite thin peridermis. The central cylinder bears few vascular bundles. Generally, the vascular strands are irregularly distributed throughout the water-storage tissue. The rhizome presents cortical amiliferous parenchyma, formed by cells with thin and cellulosed walls. The fleshy aspect of the stem comes from a well developed parenchymatic tissue which occurs in the cortex and pith. The leaves are water storing and do not present a typical palisade tissue; their entire surface presents anyzocitic stomata; the foliar limb is amphistomatic and displays a bifacial-isofacial structure, with normal dorsiventrality.
Experiments in Constructing a Corpus of Discourse Trees : Problems , Annotation Choices , Issues

We present a tagging schema and a tagging tool for labeling the rhetorical structure of texts. We focus on presenting the difficulties that we faced in designing a discourse annotation manual and on discussing the choices that we made in order to address these difficulties. We report reliability results concerning our agreement on building the rhetorical structure of 90 texts of three genres: 30 news stories, 30 editorials, and 30 scientific articles.
A Semantic Knowledge Fusion Method Based on Topic Maps

Knowledge fusion plays an important role in the integration of multiple, distributed, heterogeneous knowledge sources. This paper presents a semantic knowledge fusion framework based on topic maps. The fusion method is through measuring the semantic similarity between topic maps of knowledge object pairs. The similarity measure of topic maps consists of two steps: the syntax similarity of topic and the structural similarity of topic. The overall semantic similarity is computed by combining the two similarities with weight. The knowledge fusion flow and the algorithm that merge the topic maps are also proposed.
Aerosols and Their Impact on Radiation, Clouds, Precipitation, and Severe Weather Events

Aerosols (tiny solid or liquid particles suspended in the atmosphere) have been in the forefront of environmental and climate change sciences as the primary atmospheric pollutant and external force affecting Earth’s weather and climate. There are two dominant mechanisms by which aerosols affect weather and climate: aerosol-radiation interactions (ARIs) and aerosol-cloud interactions (ACIs). ARIs arise from aerosol scattering and absorption, which alter the radiation budgets of the atmosphere and surface, while ACIs are connected to the fact that aerosols serve as cloud condensation nuclei and ice nuclei. Both ARIs and ACIs are coupled with atmospheric dynamics to produce a chain of complex interactions with a large range of meteorological variables that influence both weather and climate. Elaborated here are the impacts of aerosols on the radiation budget, clouds (microphysics, structure, and lifetime), precipitation, and severe weather events (lightning, thunderstorms, hail, and tornadoes). Depending on environmental variables and aerosol properties, the effects can be both positive and negative, posing the largest uncertainties in the external forcing of the climate system. This has considerably hindered the ability to project future climate changes and make accurate numerical weather predictions.
System Architecture for a Dynamic-Spectrum Radio

: The increasing demand for wireless services necessitates a reassessment of how radio spectrum is allocated. This paper will propose the system architecture of a dynamic-spectrum radio. Such a radio system will seek out underutilized spectrum, and for a short period of time operate on these frequencies. With adequate available temporary spectrum, a moderate-cost, high-data rate radio network can be realized. Finding spectrum that is not being used either passively or actively in a propagation environment is the leading requirement for the system’s design. The preliminary results of a 500 MHz to 6 GHz spectrum search in urban Atlanta, Georgia demonstrates the existence of usable temporary spectrum. Intermodulation from receiver components, and non-linearities from transmitter components will limit performance of a dynamic spectrum radio system. Radio frequency filtering, amplifier predistortion, and intelligent control software can mitigate the impact of intermodulation. The resulting architecture will consider these effects, in addition to results from the spectrum studies.
A Planning Approach to Declarer Play in Contract Bridge*

Although game-tree search works well in perfect-information games, it is less suitable for imperfect-information games such as contract bridge. The lack of knowledge about the opponents' possible moves gives the game tree a very large branching factor, making it impossible to search a signiicant portion of this tree in a reasonable amount of time. This paper describes our approach for overcoming this problem. We represent information about bridge in a task network that is extended to represent multi-agency and uncertainty. Our game-playing procedure uses this task network to generate game trees in which the set of alternative choices is determined not by the set of possible actions, but by the set of available tactical and strategic schemes. We have tested this approach on declarer play in the game of bridge, in an implementation called Tignum 2. On 5000 randomly generated notrump deals, Tignum 2 beat the strongest commercially available program by 1394 to 1302, with 2304 ties. These results are statistically signiicant at the = 0:05 level. Tignum 2 searched an average of only 8745.6 moves per deal in an average time of only 27.5 seconds per deal on a Sun SPARCstation 10. Further enhancements to Tignum 2 are currently underway.
MRCC: A Multi-Resolution Cooperative Control Agent Architecture

The cooperation problem in a complex robotic environment requires the use of explicit mechanisms and control architectures specifically designed to manage the cooperation. Powerful ways of structuring cooperation complexity are required, including models, methodologies, software architectures, information systems and frameworks. In this paper the intentional cooperation control model MRCC, multi-resolution cooperation control is presented; in particular, the internal agent architecture is studied in detail. The model takes advantage of the multi agent systems (MAS) benefits in order to provide an integral and flexible architecture. The main idea of the MRCC model is based on a hierarchical decomposition of the MAS cooperative control, where each layer manages the decisions at different granularity and abstraction levels. Higher levels take into account general aspects of the system control and generate influences over lower ones. Lower levels manage negotiation mechanism to achieve cooperative actions and control of individual agents. The internal agent architecture is built using a concurrent approach, where several behaviors interact to integrate in a coherent way the operation and contribution of the different MRCC levels. The preliminary simulation results demonstrate that the model can be applied in different multi robot tasks.