Multi-user resource-sharing problem for the Internet

In this thesis we study a series of multi-user resource-sharing problems for the Internet, which involve distribution of a common resource among participants of multi-user systems (servers or networks). We study concurrently accessible resources, which for end-users may be exclusively accessible or non-exclusively. For all kinds we suggest a separate algorithm or a modification of common reputation scheme. Every algorithm or method is studied from different perspectives: optimality of protocols, selfishness of end users, fairness of the protocol for end users. On the one hand the multifaceted analysis allows us to select the most suited protocols among a set of various available ones based on trade-offs of optima criteria. On the other hand, the future Internet predictions dictate new rules for the optimality we should take into account and new properties of the networks that cannot be neglected anymore. In this thesis we have studied new protocols for such resource-sharing problems as the backoff protocol, defense mechanisms against Denial-of-Service, fairness and confidentiality for users in overlay networks. For backoff protocol we present analysis of a general backoff scheme, where an optimization is applied to a general-view backoff function. It leads to an optimality condition for backoff protocols in both slot times and continuous time models. Additionally we present an extension for the backoff scheme in order to achieve fairness for the participants in an unfair environment, such as wireless signal strengths. Finally, for the backoff algorithm we suggest a reputation scheme that deals with misbehaving nodes. For the next problem -- denial-of-service attacks, we suggest two schemes that deal with the malicious behavior for two conditions: forged identities and unspoofed identities. For the first one we suggest a novel most-knocked-first-served algorithm, while for the latter we apply a reputation mechanism in order to restrict resource access for misbehaving nodes. Finally, we study the reputation scheme for the overlays and peer-to-peer networks, where resource is not placed on a common station, but spread across the network. The theoretical analysis suggests what behavior will be selected by the end station under such a reputation mechanism.

Insights into the Fold Organization of TIM Barrel from Interaction Energy Based Structure Networks

There are many well-known examples of proteins with low sequence similarity, adopting the same structural fold. This aspect of sequence-structure relationship has been extensively studied both experimentally and theoretically, however with limited success. Most of the studies consider remote homology or ``sequence conservation'' as the basis for their understanding. Recently ``interaction energy'' based network formalism (Protein Energy Networks (PENs)) was developed to understand the determinants of protein structures. In this paper we have used these PENs to investigate the common non-covalent interactions and their collective features which stabilize the TIM barrel fold. We have also developed a method of aligning PENs in order to understand the spatial conservation of interactions in the fold. We have identified key common interactions responsible for the conservation of the TIM fold, despite high sequence dissimilarity. For instance, the central beta barrel of the TIM fold is stabilized by long-range high energy electrostatic interactions and low-energy contiguous vdW interactions in certain families. The other interfaces like the helix-sheet or the helix-helix seem to be devoid of any high energy conserved interactions. Conserved interactions in the loop regions around the catalytic site of the TIM fold have also been identified, pointing out their significance in both structural and functional evolution. Based on these investigations, we have developed a novel network based phylogenetic analysis for remote homologues, which can perform better than sequence based phylogeny. Such an analysis is more meaningful from both structural and functional evolutionary perspective. We believe that the information obtained through the ``interaction conservation'' viewpoint and the subsequently developed method of structure network alignment, can shed new light in the fields of fold organization and de novo computational protein design.

Comparison of performance of OCDMA networks with correlation and chiplevel receivers

In this paper optical code-division multiple-access (O-CDMA) packet network is considered, which offers inherent security in the access networks. Two types of random access protocols are proposed for packet transmission. In protocol 1, all distinct codes and in protocol 2, distinct codes as well as shifted versions of all these codes are used. O-CDMA network performance using optical orthogonal codes (OOCs) 1-D and two-dimensional (2-D) wavelength/time single-pulse-per-row (W/T SPR) codes are analyzed. The main advantage of using 2-D codes instead of one-dimensional (1-D) codes is to reduce the errors due to multiple access interference among different users. In this paper, correlation receiver and chip-level receiver are considered in the analysis. Using analytical model, we compute packet-success probability, throughput and compare for OOC and SPR codes in an O-CDMA network and the analysis shows improved performance with SPR codes as compared to OOC codes.

A 16-Gene Signature Distinguishes Anaplastic Astrocytoma from Glioblastoma

Anaplastic astrocytoma (AA; Grade III) and glioblastoma (GBM; Grade IV) are diffusely infiltrating tumors and are called malignant astrocytomas. The treatment regimen and prognosis are distinctly different between anaplastic astrocytoma and glioblastoma patients. Although histopathology based current grading system is well accepted and largely reproducible, intratumoral histologic variations often lead to difficulties in classification of malignant astrocytoma samples. In order to obtain a more robust molecular classifier, we analysed RT-qPCR expression data of 175 differentially regulated genes across astrocytoma using Prediction Analysis of Microarrays (PAM) and found the most discriminatory 16-gene expression signature for the classification of anaplastic astrocytoma and glioblastoma. The 16-gene signature obtained in the training set was validated in the test set with diagnostic accuracy of 89%. Additionally, validation of the 16-gene signature in multiple independent cohorts revealed that the signature predicted anaplastic astrocytoma and glioblastoma samples with accuracy rates of 99%, 88%, and 92% in TCGA, GSE1993 and GSE4422 datasets, respectively. The protein-protein interaction network and pathway analysis suggested that the 16-genes of the signature identified epithelial-mesenchymal transition (EMT) pathway as the most differentially regulated pathway in glioblastoma compared to anaplastic astrocytoma. In addition to identifying 16 gene classification signature, we also demonstrated that genes involved in epithelial-mesenchymal transition may play an important role in distinguishing glioblastoma from anaplastic astrocytoma.

A critical review of the definition of FRA resonance frequency of transformers as per IEEE Std C57.149-2012

The explanation of resonance given in IEEE Std C57.149-2012 to define resonance during frequency response analysis (FRA) measurements on transformers implicitly uses the conditions prevalent during resonance in a series R-L-C circuit. This dependence is evident from the two assertions made in the definition, viz., resulting in zero net reactive impedance, and, accompanied by a zero value appearing in the phase angle of the frequency response function. These two conditions are satisfied (at resonance) only in a series R-L-C circuit and certainly not in a transformer, as has been assumed in the Standard. This can be proved by considering a ladder-network model. Circuit analysis of this ladder network reveals the origin of this fallacy and proves that, at resonance, neither is the ladder network purely resistive and nor is the phase angle (between input voltage and input current) always zero. Also, during FRA measurements, it is often seen that phase angle does not traverse the conventional cyclic path from +90 degrees to -90 degrees (or vice versa) at all resonant frequencies. This peculiar feature can also be explained using pole-zero maps. Simple derivations, simulations and experimental results on an actual winding are presented. In summary, authors believe that this study dispels existing misconceptions about definition of FRA resonance and provides material for its correction in IEEE Std C57.149-2012. (C) 2014 Elsevier B.V. All rights reserved.

A detailed chemistry multi-cycle simulation of a gasoline fueled HCCI engine operated with NVO

A previously developed Stochastic Reactor Model (SRM) is used to simulate combustion in a four cylinder in-line four-stroke naturally aspirated direct injection Spark Ignition (SI) engine modified to run in Homogeneous Charge Compression Ignition (HCCI) mode with a Negative Valve Overlap (NVO). A portion of the fuel is injected during NVO to increase the cylinder temperature and enable HCCI combustion at a compression ratio of 12:1. The model is coupled with GT-Power, a one-dimensional engine simulation tool used for the open valve portion of the engine cycle. The SRM is used to model in-cylinder mixing, heat transfer and chemistry during the NVO and main combustion. Direct injection is simulated during NVO in order to predict heat release and internal Exhaust Gas Recycle (EGR) composition and mass. The NOx emissions and simulated pressure profiles match experimental data well, including the cyclic fluctuations. The model predicts combustion characteristics at different fuel split ratios and injection timings. The effect of fuel reforming on ignition timing is investigated along with the causes of cycle to cycle variations and unstable operation. A detailed flux analysis during NVO unearths interesting results regarding the effect of NOx on ignition timing compared with its effect during the main combustion. © 2009 SAE International.

Contribuições da Educação a Distância para a Educação Ambiental: utilização da rede sociotécnica na análise das concepções de meio ambiente e saúde no Polo de Nova Friburgo.

Este trabalho descreve as contribuições da Educação a Distância para a elaboração e efetivação de projetos de educação ambiental, a partir da análise das concepções de meio ambiente e saúde de estudantes dos cursos semipresenciais de formação de professores do Consórcio CEDERJ, no Polo de Nova Friburgo, Rio de Janeiro. Foi realizada pesquisa qualitativa do tipo etnográfica utilizando-se observação participante, análise documental e entrevista semi-estruturada na coleta de dados. O conceito de rede sociotécnica, tal qual proposto por Bruno Latour, fertilizou a análise dos dados de campo e permitiu olhar a Educação Ambiental e a Educação a Distância sob um prisma que questiona a relação sujeito-objeto e o estatuto da ciência como saber hierarquicamente superior. A utilização do aporte teórico da antropologia das ciências e das técnicas evidenciou a indissociabilidade entre atividade cognitiva e fatores sociais e a reunião de elementos de todos os tempos na composição da rede de Educação a Distância brasileira, na qual atuantes humanos e não humanos estão entrelaçados nas ações de ensinar-aprender, constituindo-se num híbrido de naturezas-culturas.

Saúde Mental Materna e Retenção de Peso no Pós-parto

O objetivo do presente estudo foi investigar a associação entre a depressão pós-parto e a retenção de peso no pós-parto. Trata-se de um estudo longitudinal, com 563 mulheres no baseline acolhidas em unidades de saúde do município do Rio de Janeiro entre 2005 e 2009, acompanhadas até o 6 mês pós-parto, com dados sobre peso e estatura aos 15 dias pós-parto e peso pré-gestacional. O peso retido após o parto foi calculado a partir da diferença entre o peso aferido nas ondas de seguimento (15 dias, 1, 2, 4 e 6 mês) e o peso pré-gestacional. O estado nutricional pré-gestacional foi classificado de acordo com a OMS. A presença de depressão pós-parto foi avaliada a partir da versão em português da Escala de Depressão Pós-parto de Edimburgo (EPDS) aos 15 dias e no 2 mês após o parto, utilizando-se 11/12 da EPDS como ponto de corte. Considerou-se depressão recorrente quando houve presença de depressão nos dois momentos. Inicialmente analisaram-se características da população. Para as análises estatísticas do efeito do estado nutricional pré-gestacional e do efeito da depressão pós-parto sobre a retenção de peso pós-parto empregou-se o proc mixed do pacote estatístico SAS. Dentre os principais achados, destaca-se que 22,7% (IC 95% 19,3-26,4) das mulheres iniciaram a gravidez com sobrepeso e 10,9% (IC 95% 7,0-15,7) apresentaram depressão recorrente. A retenção média de peso foi de 5,6 kg (IC 95% 5,1-6,1) aos 15 dias pós-parto. Na análise das trajetórias no tempo do peso pós-parto por estado nutricional pré-gestacional ajustadas por idade, escolaridade, número de filhos, aleitamento materno e ganho de peso gestacional, observou-se diminuição da retenção de peso pós-parto para os grupos de baixo peso e sobrepeso pré-gestacional e aumento da retenção de peso pós-parto para o grupo de obesidade pré-gestacional. Na análise das trajetórias no tempo do peso pós-parto por depressão pós-parto verifica-se que o efeito entre o tempo e a retenção de peso pós-parto se modifica para mulheres com depressão pós-parto recorrente nas análises bruta e ajustadas por idade, escolaridade, estado nutricional pré-gestacional, número de filhos, ganho de peso gestacional, aleitamento materno e rede social, nas quais observa-se que as mulheres com depressão pós-parto recorrente perdem menos peso. Os resultados permitem identificar que há no pós-parto perda e ganho de peso, apesar de ser esperada perda de peso almejando o retorno ao peso pré-gestacional. Ressalta-se o impacto da depressão pós-parto observado nesta dinâmica de peso, uma vez que mulheres com depressão pós-parto recorrente apresentaram menor perda de peso. Destaca-se a relevância dos resultados deste estudo para o desenvolvimento da promoção da saúde e da segurança alimentar e nutricional, visando um monitoramento do estado nutricional pós-parto e avaliação da saúde mental materna de forma a contribuir para a prevenção da obesidade feminina e comorbidades

National Agricultural Research Organisation. Fisheries Resources Research Institute Annual Report 1999/2000

Lake Victoria shoreline in Jinja Municipality has four urban wetlands of Kirinya West/Loco, Kirinya East/Walukuba, Masese and Budumbuli which have undergone major changes during the past fifty years due to increased human activities. Amongst these activities is the continuous inflow of agricultural run-off, industrial and municipal wastewater. A significant increase in nutrient loads of Nitrogen and Phosphorus from the catchment area continues to enhance eutrophication of Lake Victoria. Pollution from point sources (Industrial plants and NWSC Kirinya final maturation pond) into Jinja’s urban wetlands were therefore studied using a simplified material flux analysis methodology to identify the active elements and estimate the pollution loads due to Nitrogen, Phosphorus, Carbon (nutrients), Chromium, Copper, Lead, Nickel and Manganese metals.

Prediction and elucidation of the population dynamics of Microcystis spp. in Lake Dianchi (China) by means of artificial neural networks

Lake Dianchi is a shallow and turbid lake, located in Southwest China. Since 1985, Lake Dianchi has experienced severe cyanabacterial blooms (dominated by Microcystis spp.). In extreme cases, the algal cell densities have exceeded three billion cells per liter. To predict and elucidate the population dynamics ofMicrocystis spp. in Lake Dianchi, a neural network based model was developed. The correlation coefficient (R 2) between the predicted algal concentrations by the model and the observed values was 0.911. Sensitivity analysis was performed to clarify the algal dynamics to the changes of environmental factors. The results of a sensitivity analysis of the neural network model suggested that small increases in pH could cause significantly reduced algal abundance. Further investigations on raw data showed that the response of Microcystis spp. concentration to pH increase was dependent on algal biomass and pH level. When Microcystis spp. population and pH were moderate or low, the response of Microcystis spp. population would be more likely to be positive in Lake Dianchi; contrarily, Microcystis spp. population in Lake Dianchi would be more likely to show negative response to pH increase when Microcystis spp. population and pH were high. The paper concluded that the extremely high concentration of algal population and high pH could explain the distinctive response of Microcystis spp. population to +1 SD (standard deviation) pH increase in Lake Dianchi. And the paper also elucidated the algal dynamics to changes of other environmental factors. One SD increase of water temperature (WT) had strongest positive relationship with Microcystis spp. biomass. Chemical oxygen demand (COD) and total phosphorus (TP) had strong positive effect on Microcystis spp. abundance while total nitrogen (TN), biological oxygen demand in five days (BOD5), and dissolved oxygen had only weak relationship with Microcystis spp. concentration. And transparency (Tr) had moderate positive relationship with Microcystis spp. concentration.

Modelling algal blooms in Lake Dianchi, China using neural networks

Lake Dianchi is one of the most extensively impacted freshwater lakes by algal blooms. To investigate the response of dominant algal genera, neural networks were applied to model the relationship between water quality parameters and the biomass of four dominant genera (Microcystic spp., Anabaena sp., Quadricauda (Turp.) Breb, Pediastrum Mey) in Dianchi. Results showed that the timing and magnitude of algal blooms of Microcystic spp., nabaena sp., Quadricauda (Turp.) Breb, and Pediastrum Mey in Dianchi could be successfully predicted. The evaluation of environmental factors showed that pH had more significant impact on concentrations of all the four dominant algal genera than the nutrient factors, such as total phosphorus and total nitrogen.

澜沧江姬鼠（Apodemus ilex）种群遗传结构及其生物地理分析

澜沧江姬鼠（Apodemus ilex）为小型啮齿类动物，长期以来常被认为是中华姬鼠（A. draco）或长尾姬鼠（A. orestes）的同物异名，但近年基于线粒体Cyt b 的研究证明，该类群与中华姬鼠的遗传距离达到了种间水平，并被认为是一个独立种。本文提取、扩增并测定了来自云南14个地区42个产地156个澜沧江姬鼠的Cyt b 全序列，并将GenBank中的3条澜沧江姬鼠的Cyt b 全序列纳入分析，选取福建武夷山与四川峨眉山的2个中华姬鼠样品的Cyt b 全序列，以及台湾姬鼠、大耳姬鼠、高山姬鼠Cyt b 全序列作为外群，利用贝叶斯法和最大似然法构建系统发育树，并使用Network分析，分子变异分析（AMOVA）分析、错配分析（Mismatch analysis）与Fu`Fs检验等方法，探讨了这些地区澜沧江姬鼠的种群遗传结构，种群动态及生物地理格局。结果表明：云南地区过去被鉴定为中华姬鼠的样品均属于澜沧江姬鼠，澜沧江姬鼠与中华姬鼠间的遗传距离（K2P-ds+v）达到0.091，显著超过姬鼠属内种间差距（0.080），支持澜沧江姬鼠独立种的地位；该种不同地理种群可大致以澜沧江为界分为两大支系，且每个支系又各分为两个亚支系；进一步的AMOVA分析表明遗传变异主要来源于两大支系之间，而错配分析与Fu`Fs检验表明澜沧江姬鼠各地理种群及其两个支系都经历过多次扩张事件，这可能是和冰期与间冰期的轮回交替有关；分子系统树和中介网络图表明地理环境的隔离对于澜沧江姬鼠种群分化存在明显影响，其中澜沧江的阻隔作用最为显著。基于松散分子钟（Relax molecular clock）分析，中华姬鼠和澜沧江姬鼠的分歧时间大约在2.98 Ma（95％HPD: 4.32-1.88），而澜沧江姬鼠则在1.13 Ma（95％HPD: 1.95-0.65）分成两个支系。按照平均分歧时间来看，澜沧江姬鼠两个支系的的分歧事件发生在鄱阳冰期（1.2-0.9 Ma），两个支系内部进一步分化为两支的时间非常接近，分别为：Clade 1中为0.67 Ma （95％HPD: 1.17-0.34）和Clade 2 中为0.64 Ma (95％HPD: 1.17-0.36)，这种隔离种群各自产生分化的时间却非常接近，这提示其分化事件可能是受到古气候如冰期或间冰期的影响所产生。

基于逆向参数化的B样条曲面重建算法

目的解决B样条曲面重建问题中矩形拓扑网自动生成和参数化两大难点问题,提出一种基于逆向参数化的B样条曲面重建算法.方法首先构建基曲面,在基曲面上根据参数(u,v)进行采样,沿其法线方向进行数据的滤波和精简,求得参数(u,v)对应的精简点,然后对采样求取的精简点集进行B样条曲面拟合,该方法提供了B样条曲面重建的一个新思路.结果新算法突破了传统密集散乱点云数据的B样条曲面重建基本过程,采用与正向参数化相反的过程进行参数化,解决了B样条曲面重建问题中矩形拓扑网自动生成和参数化的难题;具体试验分析表明新算法不仅在参数化的同时完成了数据滤波和精简,而且在时间和迭代效率方面都具有优势.结论新算法避免了求取法线的迭代过程,并且可以较容易的实现矩形拓扑网的自动生成,新算法在自主开发的智能测量建模加工一体化装备中得到了应用验证.

Reti complesse e analisi del segnale elettroencefalografico

The identification of subject-specific traits extracted from patterns of brain activity still represents an important challenge. The need to detect distinctive brain features, which is relevant for biometric and brain computer interface systems, has been also emphasized in monitoring the effect of clinical treatments and in evaluating the progression of brain disorders. Graph theory and network science tools have revealed fundamental mechanisms of functional brain organization in resting-state M/EEG analysis. Nevertheless, it is still not clearly understood how several methodological aspects may bias the topology of the reconstructed functional networks. In this context, the literature shows inconsistency in the chosen length of the selected epochs, impeding a meaningful comparison between results from different studies. In this study we propose an approach which aims to investigate the existence of a distinctive functional core (sub-network) using an unbiased reconstruction of network topology. Brain signals from a public and freely available EEG dataset were analyzed using a phase synchronization based measure, minimum spanning tree and k-core decomposition. The analysis was performed for each classical brain rhythm separately. Furthermore, we aim to provide a network approach insensitive to the effects that epoch length has on functional connectivity (FC) and network reconstruction. Two different measures, the phase lag index (PLI) and the Amplitude Envelope Correlation (AEC), were applied to EEG resting-state recordings for a group of eighteen healthy volunteers. Weighted clustering coefficient (CCw), weighted characteristic path length (Lw) and minimum spanning tree (MST) parameters were computed to evaluate the network topology. The analysis was performed on both scalp and source-space data. Results about distinctive functional core, show highest classification rates from k-core decomposition in gamma (EER=0.130, AUC=0.943) and high beta (EER=0.172, AUC=0.905) frequency bands. Results from scalp analysis concerning the influence of epoch length, show a decrease in both mean PLI and AEC values with an increase in epoch length, with a tendency to stabilize at a length of 12 seconds for PLI and 6 seconds for AEC. Moreover, CCw and Lw show very similar behaviour, with metrics based on AEC more reliable in terms of stability. In general, MST parameters stabilize at short epoch lengths, particularly for MSTs based on PLI (1-6 seconds versus 4-8 seconds for AEC). At the source-level the results were even more reliable, with stability already at 1 second duration for PLI-based MSTs. Our results confirm that EEG analysis may represent an effective tool to identify subject-specific characteristics that may be of great impact for several bioengineering applications. Regarding epoch length, the present work suggests that both PLI and AEC depend on epoch length and that this has an impact on the reconstructed network topology, particularly at the scalp-level. Source-level MST topology is less sensitive to differences in epoch length, therefore enabling the comparison of brain network topology between different studies.

Multi-zone TAP-reactors theory and application - IV. Ideal and non-ideal boundary conditions

We study the influence of non-ideal boundary and initial conditions (BIC) of a temporal analysis of products (TAP) reactor model on the data (observed exit flux) analysis. The general theory of multi-response state-defining experiments for a multi-zone TAP reactor is extended and applied to model several alternative boundary and initial conditions proposed in the literature. The method used is based on the Laplace transform and the transfer matrix formalism for multi-response experiments. Two non-idealities are studied: (1) the inlet pulse not being narrow enough (gas pulse not entering the reactor in Dirac delta function shape) and (2) the outlet non-ideality due to imperfect vacuum. The effect of these non-idealities is analyzed to the first and second order of approximation. The corresponding corrections were obtained and discussed in detail. It was found that they are negligible. Therefore, the model with ideal boundary conditions is proven to be completely adequate to the description and interpretation of transport-reaction data obtained with TAP-2 reactors.