<p> Analytical expressions for the propagation impairments due to various noise sources in long-haul optical systems and fiber-to-the-home passive optical networks have been obtained. Extensive comparison has been made in this thesis for systems based on different modulation formats, and the advantage of one over the other is clearly stated.</p> <p> For long-haul fiber optical communication systems with inline amplifiers, we have studied the statistical properties of various noise sources in systems based on differential phase-shift keying (DPSK) such as the linear phase noise induced by the amplifier spontaneous emission (ASE) noise, the intra-channel four-wave mixing (IFWM) and the nonlinear phase noise induced by the interplay between ASE noise and fiber Kerr nonlinearity. The error probability of the system based on DPSK is evaluated semi-analytically. In addition, the error probability of the system based on on-off keying (OOK) is calculated taking into account the effects of ASE noise, and the intra-channel nonlinearities such as IFWM and intra-channel cross-phase modulation (IXPM). Comparison of the performance of systems based on DPSK and OOK is made thereafter.</p> <p> For fiber-to-the-home passive optical networks without inline active photonic devices, different modulation formats have been examined for the downstream and upstream data to enable full-duplex transmission. The statistical properties of Rayleigh backscattering in single-source bi-directional optical systems have been studied including the effects of the high speed external modulation signal and the laser phase noise for systems based on DPSK and OOK. The error probabilities for systems using OOK/OOK topology and DPSK/OOK topology for downstream/upstream transmission have been evaluated and compared.</p> <p> In addition, the interplay of the amplifier spontaneous emission noise, fiber nonlinearity and dispersion has been examined starting from the nonlinear Schrödinger equation on the receiver current fluctuation. The variance of the current noise has been evaluated analytically using the two dimensional perturbation theory.</p> / Thesis / Master of Applied Science (MASc)

This Education Resource Guide includes discussion questions, as well as activities regarding the following three topics related to Diary of a Wimpy Kid: The Long Haul.

京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第20740号 / 情博第654号 / 新制||情||113(附属図書館) / 京都大学大学院情報学研究科通信情報システム専攻 / (主査)教授 守倉 正博, 教授 大木 英司, 教授 梅野 健 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM

International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada / The cost of telemetry collection is significantly reduced by unmanned store and forward systems made possible using 622MHz OC-12 networks. Networks are readily available to telemetry system architects. The in-band control of remote unmanned collection platforms is handled through a Java browser interface. Data from many telemetry channels are collected and temporarily stored on a digital disk system designed around the OC-12 network. The I/O, storage, and network components are configured, set, and initialized remotely. Recordings are started and stopped on command and can be made round-the-clock. Files of stored, time stamped data are delivered at the rate of OC-12 to a distribution center.

O planejamento operacional de um sistema de transporte de longa distância implica resolver um problema de otimização de rede dinâmica, visando a efetuar, de forma eficaz e eficiente, o atendimento às demandas de cargas, utilizando a capacidade de transporte disponível. A metodologia de solução proposta utiliza a abordagem de Rede de Filas Logísticas, a qual substitui o processo de otimização global da rede (usualmente utilizando Programação Linear Inteira) por um modelo de Programação Dinâmica Estocástica, Aproximada e Adaptativa, que permite a resolução de uma série de subproblemas delimitados no tempo, reduzindo sensivelmente a quantidade de variáveis envolvidas. Este método permite a utilização de modelos matemáticos mais realistas em horizontes de planejamento mais amplos. O presente trabalho estende os modelos encontrados na Literatura, aplicando o método a problemas de maior complexidade, incluindo a consideração de frotas heterogêneas de veículos, janelas de início de atendimento, utilização de terceiros transportadores e penalidades pelo não atendimento das demandas. São apresentados exemplos de problemas experimentais submetidos com sucesso à técnica desenvolvida. O trabalho inclui ainda o delineamento de um Sistema de Apoio à Decisão incorporando a metodologia proposta. / Operational planning of a long haul transportation system implies to solve a dynamic network optimization problem, aiming to perform the freight movements in an efficient and effective way, while utilizing the available transportation capacity. The proposed solution methodology utilizes the Logistic Queueing Network approach, replacing the network global optimization process through Integer Linear Programming by a model of Stochastic, Approximate and Adaptive Dynamic Programming, which allows the resolution of a sequence of sub- problems delimited in time, strongly reducing the quantity of variables involved. This method allows the utilization of more realistic mathematical models in a broader planning horizon. The research extends models found in the literature to solve more complex problems, including the consideration of heterogeneous fleet of vehicles, time windows, third party vehicles and penalties for not attendance of demands. Experimental problems solved successfully with the developed technique are presented. The work also presents the delineation of a Decision Support System incorporating the proposed methodology.

The enabling technologies and the issues of next-generation millimeter-wave wireless access network and 100G long-haul optical transport network were developed and identified. To develop a simple and cost-effective millimeter-wave optical-wireless system, all-round research on the technical challenges of optical millimeter-wave generation, transmission impairments compensation, and simple base station design were discussed. Several radio-over-fiber systems were designed to simultaneously deliver multi-band wireless services on a single optical infrastructure, enabling converged system control and quality maintenance in central office. For the 100G optical transport network, the issues related to successful implementations of transmitter, fiber link, and receiver of a 112-Gb/s polarization-division multiplexing-quadrature phase shift keying (PDM-QPSK) system were comprehensively explored. The experimental results based on the constructed 112-Gb/s testbed indicated that careful dispersion management can effectively increase nonlinearity tolerance. Furthermore, the special emphasis on the two impairments of the 100G network with reconfigurable optical add-drop multiplexers: passband narrowing and in-band crosstalk, was studied. The results demonstrated that these impairments can be readily predicted with proper experimental and simulation efforts.

O planejamento operacional de um sistema de transporte de longa distância implica resolver um problema de otimização de rede dinâmica, visando a efetuar, de forma eficaz e eficiente, o atendimento às demandas de cargas, utilizando a capacidade de transporte disponível. A metodologia de solução proposta utiliza a abordagem de Rede de Filas Logísticas, a qual substitui o processo de otimização global da rede (usualmente utilizando Programação Linear Inteira) por um modelo de Programação Dinâmica Estocástica, Aproximada e Adaptativa, que permite a resolução de uma série de subproblemas delimitados no tempo, reduzindo sensivelmente a quantidade de variáveis envolvidas. Este método permite a utilização de modelos matemáticos mais realistas em horizontes de planejamento mais amplos. O presente trabalho estende os modelos encontrados na Literatura, aplicando o método a problemas de maior complexidade, incluindo a consideração de frotas heterogêneas de veículos, janelas de início de atendimento, utilização de terceiros transportadores e penalidades pelo não atendimento das demandas. São apresentados exemplos de problemas experimentais submetidos com sucesso à técnica desenvolvida. O trabalho inclui ainda o delineamento de um Sistema de Apoio à Decisão incorporando a metodologia proposta. / Operational planning of a long haul transportation system implies to solve a dynamic network optimization problem, aiming to perform the freight movements in an efficient and effective way, while utilizing the available transportation capacity. The proposed solution methodology utilizes the Logistic Queueing Network approach, replacing the network global optimization process through Integer Linear Programming by a model of Stochastic, Approximate and Adaptive Dynamic Programming, which allows the resolution of a sequence of sub- problems delimited in time, strongly reducing the quantity of variables involved. This method allows the utilization of more realistic mathematical models in a broader planning horizon. The research extends models found in the literature to solve more complex problems, including the consideration of heterogeneous fleet of vehicles, time windows, third party vehicles and penalties for not attendance of demands. Experimental problems solved successfully with the developed technique are presented. The work also presents the delineation of a Decision Support System incorporating the proposed methodology.

This thesis presents a predictive energy management controller for long-haul hybrid trucks. In a receding horizon control framework, the vehicle speed reference, battery energy reference, and engine on/off decision are optimized over a prediction horizon. A mixed-integer quadratic program (MIQP) is formulated by performing modelling approximations and by including the binary engine on/off decision in the optimal control problem. The branch-and-bound algorithm is applied to solve this problem. Simulation results show fuel consumption reductions between 10-15%, depending on driving cycle, compared to a conventional truck. The hybrid truck without the predictive control saves significantly less. Fuel consumption is reduced by 3-8% in this case. A sensitivity analysis studies the effects on branch-and-bound iterations and fuel consumption when varying parameters related to the binary engine on/off decision. In addition, it is shown that the control strategy can maintain a safe time gap to a leading vehicle. Also, the introduction of the battery temperature state makes it possible to approximately model the dynamic battery power limitations over the prediction horizon. The main contributions of the thesis are the MIQP control problem formulation, the strategy to solve this with the branch-and-bound method, and the sensitivity analysis.

In order to uncover the best kept secret in today's commercial aviation, this project deals with the calculation of fuel consumption of aircraft. With only the reference of the aircraft manufacturer's information, given within the airport planning documents, a method is established that allows computing values for the fuel consumption of every aircraft in question. The aircraft's fuel consumption per passenger and 100 flown kilometers decreases rapidly with range, until a near constant level is reached around the aircraft's average range. At longer range, where payload reduction becomes necessary, fuel consumption increases significantly. Numerical results are visualized, explained, and discussed. With regard to today's increasing number of long-haul flights, the results are investigated in terms of efficiency and viability. The environmental impact of burning fuel is not considered in this report. The presented method allows calculating aircraft type specific fuel consumption based on publicly available information. In this way, the fuel consumption of every aircraft can be investigated and can be discussed openly.