A Hybrid Instantaneous Recovery Route Design Scheme Using Different Coding-Aware Scenarios

ネットワーク上のサービスの進化と通信量の増加に従い、経済的で高信頼な経路の設計が求められている。本研究では、ネットワーク上の単一のリンク故障に対して、瞬時に復旧可能で、かつ，リソースを効率的に利用する経路設計法を扱う。１＋１プロテクションは単一のリンク故障に対する瞬間復旧の代表的な手法である。このプロテクションでは同じデータが同時に独立の二つの経路へ送信されている。一つの経路上にシングルリンク故障が発生した時に着ノードで、もう一方の経路にスイッチすることによりデータが瞬時に復旧することが可能となる。この技術では必要な資源が少なくとも二倍以上必要となる。一方、ネットワーク符号化は中継ノードに到着データを符号化する技術がある。以前の研究で、この符号化の技術を用いて１＋１プロテクションの瞬間復旧機能を保ちながら必要な資源を削減する方式として，TS (traffic splitting)と2SD (2 sources common destination)というシナリオが報告されている。本研究ではネットワーク上のすべて発着ノードのペアに対する１＋１プロテクションを提供するハイブリッド経路設計法を提案する。この設計法は２段階のフェーズから構成される。第１フェーズでは、TSと2SDの選択肢の中から、それぞれの発着ノードペアに対して適切なプロテクションシナリオを選択する。第２フェーズでは、第１フェーズで得られた結果からシナリオの組み合わせが符号化可能な共通経路を抽出し、ネットワークコストが低減されるように最適な組み合わせを探索する。提案したハイブリッド経路設計法と、従来方法のＴＳと２ＳＤとの性能を比較した結果、提案方法は，従来方法と比較して５％の資源を削減ができることを示す。電気通信大学201

A Co-optimization PSO for Fuzzy Rule-Based Classifier Design Problem Based on Enlarged Hedge Algebras

Fuzzy Rule-Based Classifier (FRBC) design problem has been widely studied due to many practical applications. Hedge Algebras based Classifier Design Methods (HACDMs) are the outstanding and effective approaches because these approaches based on a mathematical formal formalism allowing the fuzzy sets based computational semantics generated from their inherent qualitative semantics of linguistic terms. HACDMs include two phase optimization process. The first phase is to optimize the semantic parameter values by applying an optimization algorithm. Then, in the second phase, the optimal fuzzy rule based system for FRBC is extracted based on the optimal semantic parameter values provided by the first phase. The performance of FRBC design methods depends on the quality of the applied optimization algorithms. This paper presents our proposed co-optimization Particle Swarm Optimization (PSO) algorithm for designing FRBC with trapezoidal fuzzy sets based computational semantics generated by Enlarged Hedge Algebras (EHAs). The results of experiments executed over 23 real world datasets have shown that Enlarged Hedge Algebras based classifier with our proposed co-optimization PSO algorithm outperforms the existing classifiers which are designed based on Enlarged Hedge Algebras methodology with two phase optimization process and the existing fuzzy set theory based classifiers

ESTIMATING THERMAL STABILITY OF PHOSPHATED AND PHOSPHATED SULFATED MESOPOROUS ZIRCONIA

Mesoporous phosphated zirconia (m-PZ) and mesoporous phosphated sulfated zirconia (m-PSZ) were synthesized through condensation methods using Zr3(PO4)4 and Zr(SO4)2 as precursors respectively. The precursors, solvents with suitable molar or mass ratios were mixed at 100oC for 48 hours to obtain the mesoporous channels. An oxophosphate process was used to synthesize the m-PSZ material for improving its thermal stability. Some techniques was used to characterize the materials such as SAXRD, TG-DTA and TEM

Comparison of several robust observers for automotive damper force estimation

International audienceThis paper aims at comparing three robust observers used to estimate the damping force of of elec-trorheological (ER) damper in a vehicle suspension system. Firstly, a nonlinear quarter-car model, augmented with a first-order dynamical nonlinear damper model, is developed. The first two methods are designed considering the nonlinearity as an unknown input and minimizing the effect of the unknown input disturbances (including nonlinearity term, measurment noise, unknown road profile) on the estimation errors, by using an H 2 and H ∞ criterion, respectively. The latter method is to only minimize the effects of measurement noises and road profiles on the state variable estimation errors by using a H ∞ criterion while the nonlinearity is bounded through a Lipschitz condition. Two low-cost sensors signals (two accelerometers data from the sprung mass and the unsprung mass) are considered as inputs for the observer designs. Finally, the observers are implemented on the INOVE testbench from GIPSA-lab (1/5-scaled real vehicle) to assess and compare experimentally the performances of the approaches. Both simulations and experimental results demonstrate a better effectiveness of the latter observer in terms of the ability of estimating the damper force in real-time despite the nonlinearity, the measurement noises and the road disturbances

Miscibility in two phase-separated binary self-assembled monolayers composed of hydrophilic components on Au(111)

The typical characteristic of two binary self-assembled monolayer (SAMs) composed of 11-aminoundecanethiol hydrochloride (AUT), and 10-carboxy-1-decanethiol (MUA) in each and the other was 2-hydroxylethanethiol (MeOH) was investigated. The dependence of charges (Q), estimated from the peak areas in cyclic voltammograms on the mixing ratios of components (csolMeOH) indicated that QMUA = QMeOH at csolMeOH = 0.8, meanwhile QAUT = QMeOH at csolMeOH = 0.5, suggesting that adsorbed MUA molecules prevented the adsorption of MeOH molecules. Fourier transform infrared spectrometry (FTIR) showed the increase of band at 2855 cm-1 and 2965 cm-1, assigned to symmetric and asymmetric of CH2, respectively, of SAM of AUT, indicating the more perpendicular orientation of AUT molecules compared with MUA molecules on the Au(111) surface. This result interpreted the degree of phase separation in binary SAMs of AUT-MeOH compared with binary SAMs of MUA-MeOH. Keywords. Binary self-assembled monolayers, miscibility, hydrophilic components

Direct electrocatalytic activity of chicken liver sulfite oxidase immobilized on binary self-assembled monolayer composed of separated domains having opposite charges

In this work, the final binary SAMs composed of 11-aminoundecanethiol (AUT) domains and 10-carboxy-1-decanethiol (MUA) domains on In this work, the final binary SAMs composed of 11-aminoundecanethiol (AUT) domains and 10-carboxy-1-decanethiol (MUA) domains on Au(111) substrate was used for immobilizing chicken liver sulfite oxidase (CSO) to study the direct electron transfer and detect sulfite anions. Scanning tunneling microscope images clearly showed the phase separation between AUT and MUA domains in the final binary SAMs prepared by the electrochemically selective replacement method. The electrochemical signals of CSO appeared on the voltammogram indicated that the direct electron transfer between the enzyme and the modified electrode could be obtained without electron mediator. The electrocatalytic currents of sulfite oxidation by CSO immobilized on the final binary SAMs were linearly dependent on their concentrations in solution with R2 = 0.988, revealing a possibility in detection this anion by employing the bioelectrochemical sensor.

Traffic classification with passive measurement

This is a master thesis from a collaboration between Oslo University College and Uninett Research. Uninett have a passive monitoring device on a 2.5 Gbps backbone link between Trondheim and Narvik. They uses measurement with optical splitters and specialized measuring interfaces to trace traffic with Gigabit speed. We would like to investigate the structure and patterns in these data. It is of special interest to classify the traffic belonging to different services and protocols. Traffic classification enables a variety of other applications and topics, including Quality of Service, security, monitoring, and intrusion-detection that are of use to research, accountants, network operators and end users. The ability to accurately identify the network traffic associated with different applications is therefore important. However, traditional traffic to higher-level application classification techniques such as port-based is highly inaccurate for some applications. In this thesis, we provide an efficient approach for identifying different applications through our classification methodology. Our results indicate that with our technique we achieves less than 6.5% unknown type in most cases compared to the port-based which is 46.6%. The project is divided into three phases. First we will have a look at the problems dealing with collecting data traces in high speed network system. Second we will explore how we can identify and classify the data into different categories. Finally we will try to analyse our results offline.Master i nettverks- og systemadministrasjo

Standard Neutrosophic Soft Theory: Some First Results

The traditional soft set is a mapping from a parameter set to family of all crisp subsets of a universe. Molodtsov introduced the soft set as a generalized tool for modelling complex systems involving uncertain or not clearly defined objects. In this paper, the notion of neutrosophic soft set is reanalysed. The novel theory is a combination of neutrosophic set theory and soft set theory. The complement, “and”, “or”, intersection and union operations are defined on the neutrosophic soft sets. The neutrosophic soft relations accompanied with their compositions are also defined. The basic properties of the neutrosophic soft sets, neutrosophic soft relations and neutrosophic soft compositions are also discussed