http://hdl.handle.net/1721.1/7663 Tue, 18 Jun 2013 18:37:22 GMT 2013-06-18T18:37:22Z http://hdl.handle.net/1721.1/79345 The regulation of internet interconnection : assessing network market power Maida, Elisabeth M. (Elisabeth Marigo) Interconnection agreements in the telecommunications industry have always been constrained by regulation. Internet interconnection has not received the same level of scrutiny. Recent debates regarding proposed mergers, network neutrality, Internet peering, and last mile competition have generated much discussion about whether Internet interconnection regulation is warranted. In order to determine whether such regulation is necessary, policymakers need appropriate metrics to help gauge a network provider's market power. Since Internet interconnection agreements are typically not published publicly, policymakers must instead rely on proxy metrics and inferred interconnection relationships. Alessio D'Ignazio and Emanuele Giovannetti have attempted to address this challenge by proposing a standard set of metrics that are based on and assessed using network topology data. They suggest two metrics, referred to as customer cone and betweenness, as proxies for market size and market power. This thesis focuses on the efficacy of the proposed customer cone and betweenness metrics as proxies for network market size and market power. Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.; Cataloged from PDF version of thesis.; Includes bibliographical references (p. 59-64). Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/1721.1/79345 2013-01-01T00:00:00Z http://hdl.handle.net/1721.1/79327 Distributed mobile platforms and applications for intelligent transportation systems Gao, Jason Hao Smartphones are pervasive, and possess powerful processors, multi-faceted sensing, and multiple radios. However, networked mobile apps still typically use a client-server programming model, sending all shared data queries and uploads through the cellular network, incurring bandwidth consumption and unpredictable latencies. Leveraging the local compute power and device-to-device communications of modern smartphones can mitigate demand on cellular networks and improve response times. This thesis presents two systems towards this vision. First, we present DIPLOMA, which aids developers in achieving this vision by providing a programming layer to easily program a collection of smartphones connected over adhoc wireless. It presents a familiar shared data model to developers, while underneath, it implements a distributed shared memory system that provides coherent relaxed-consistency access to data across different smartphones and addresses the issues that device mobility and unreliable networking pose against consistency and coherence. We evaluated our prototype on 10 Android phones on both 3G (HSPA) and 4G (LTE) networks with a representative location-based photo-sharing service and a synthetic benchmark. We also simulated large scale scenarios up to 160 nodes on the ns-2 network simulator. Compared to a client-server baseline, our system shows response time improvements of 10x over 3G and 2x over 4G. We also observe cellular bandwidth reductions of 96%, comparable energy consumption, and a 95.3% request completion rate with coherent caching. With RoadRunner, we apply our vision to Intelligent Transportation Systems (ITS). RoadRunner implements vehicular congestion control as an in-vehicle smartphone app that judiciously harnesses onboard sensing, local computation, and short-range communications, enabling large-scale traffic congestion control without the need for physical infrastructure, at higher penetration across road networks, and at finer granularity. RoadRunner enforces a quota on the number of cars on a road by requiring vehicles to possess a token for entry. Tokens are circulated and reused among multiple vehicles as they move between regions. We implemented RoadRunner as an Android application, deployed it on 10 vehicles using 4G (LTE), 802.11p DSRC and 802.11n adhoc WiFi, and measured cellular access reductions up to 84%, response time improvements up to 80%, and effectiveness of the system in enforcing congestion control policies. We also simulated large-scale scenarios using actual traffic loop-detector counts from Singapore. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.; Cataloged from PDF version of thesis.; Includes bibliographical references (p. 70-75). Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/1721.1/79327 2013-01-01T00:00:00Z http://hdl.handle.net/1721.1/79326 Swept source optical coherence microscopy for pathological assessment of cancerous tissues Ahsen, Osman Oguz Optical coherence microscopy (OCM) combines optical coherence tomography (OCT) with confocal microscopy and enables depth resolved visualization of biological specimens with cellular resolution. OCM offers a suitable alternative to confocal imaging by providing enhanced contrast due to the additional coherence gate to the inherent confocal gate, increasing the field of view and imaging depth, and eliminating the need of external contrast agents. In the past, development of OCT systems have been focused on time domain and spectral/Fourier domain methods which offer high axial resolution and imaging speeds. However, recent advances in the OCT technology have pushed the development into the direction of swept source OCT technologies, and development of the OCM technology is likely to follow this path. This thesis describes construction, characterization and preliminary imaging results of a swept source OCM (SS-OCM) system utilizing a novel light source, Vertical Cavity Surface-Emission Laser (VCSEL). This swept source laser can reach sweep rates exceeding 1 MHz and provide wide tuning ranges, which will enable both imaging speeds approaching to time domain OCM (TD-OCM) systems, and axial resolution approaching to spectral/Fourier domain OCM (SD-OCM) systems. Several other advantages of SS-OCM compared to TD-OCM and SD-OCM that make this technology a promising alternative to the latter imaging methods are presented. Furthermore, practical concepts in the system development and signal processing, such as compensation for the scan curvatures, methods for calibration of the spectrums, selection of suitable color maps for display, and other related topics are also discussed in the text. In addition to technical description of the OCM system development, an in depth analysis of several clinical applications that will be likely to benefit from this imaging modality is also presented. Real time intraoperative feedback is required in order to reduce the morbidity and the rate of additional operations for the surgical management of several forms of cancer, where a benchtop OCM system residing in the pathology laboratory can be immensely beneficial. Furthermore, with the novel scanning mechanisms that have been developed in the recent years it is possible to translate this imaging modality to an in vivo setting where an OCM probe can be inserted through the working channel of an endoscope and generate cellular resolution images in real time without the need of external contrast agents. Endoscopic management and clinical challenges for a spectrum of lower gastrointestinal (GI) diseases is discussed where an in vivo OCM imaging probe can play an important role in the diagnosis and evaluation of the extend of the particular disease. A review of alternative imaging modalities, such as chromoendoscopy, narrow band imaging (NBI) and confocal laser endomicroscopy (CLE) is also included which outlines the relative strengths and limitations of these imaging modalities for the clinical management of lower GI diseases. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.; Cataloged from PDF version of thesis.; Includes bibliographical references. Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/1721.1/79326 2013-01-01T00:00:00Z http://hdl.handle.net/1721.1/79320 Capnographic analysis for disease classification Asher, Rebecca J. (Rebecca Jennie) Existing methods for extracting diagnostic information from carbon dioxide in the exhaled breath are qualitative, through visual inspection, and therefore imprecise. In this thesis, we quantify the CO₂ waveform, or capnogram, in order to discriminate among various lung disorders. Quantitative analyses of the capnogram are conducted by extracting several physiological waveform features and performing classification by discriminant analysis with voting. Our classification methods are tested in distinguishing between records from subjects with normal lung function and patients with cardiorespiratory disease. In a second step, we discriminate between capnograms from patients with obstructive lung disease (chronic obstructive pulmonary disease) and those with restrictive lung disease (congestive heart failure). Our results demonstrate the diagnostic potential of capnography. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.; Cataloged from PDF version of thesis.; Includes bibliographical references (p. 73-76). Sun, 01 Jan 2012 00:00:00 GMT http://hdl.handle.net/1721.1/79320 2012-01-01T00:00:00Z