Intelligent aerial store & foreword packet repeater

A communication framework capable of rapid deployment and adaptive wireless support was designed and implemented using an unmanned aerial vehicle equipped with a 900 MHz, frequency- hopping transceiver configured as a store and forward packet repeater. Users with or without line of sight propagation between one another can automatically connect through the packet repeater and employ the aerial platform for extended data transfer. The airborne vehicle accommodates dynamic re-positioning in response to varying radio link conditions, thus supporting communication between highly mobile and/or line of sight-obstructed users even as the network topology evolves. Using open source and custom written software applications, as well as specially modified radio firmware, a command and data-logging environment was designed to monitor, control and initialize radio network conditions and vehicle platforms in real time. Careful real world evaluation of the developed system has demonstrated a robust platform capable of improvement to a user\u27s communication performance

The design, construction and performance of the MICE target

The pion-production target that serves the MICE Muon Beam consists of a titanium cylinder that is dipped into the halo of the ISIS proton beam. The design and construction of the MICE target system are described along with the quality-assurance procedures, electromagnetic drive and control systems, the readout electronics, and the data-acquisition system. The performance of the target is presented together with the particle rates delivered to the MICE Muon Beam. Finally, the beam loss in ISIS generated by the operation of the target is evaluated as a function of the particle rate, and the operating parameters of the target are derived

A novel power management and control design framework for resilient operation of microgrids

This thesis concerns the investigation of the integration of the microgrid, a form of future electric grids, with renewable energy sources, and electric vehicles. It presents an innovative modular tri-level hierarchical management and control design framework for the future grid as a radical departure from the ‘centralised’ paradigm in conventional systems, by capturing and exploiting the unique characteristics of a host of new actors in the energy arena - renewable energy sources, storage systems and electric vehicles. The formulation of the tri-level hierarchical management and control design framework involves a new perspective on the problem description of the power management of EVs within a microgrid, with the consideration of, among others, the bi-directional energy flow between storage and renewable sources. The chronological structure of the tri-level hierarchical management operation facilitates a modular power management and control framework from three levels: Microgrid Operator (MGO), Charging Station Operator (CSO), and Electric Vehicle Operator (EVO). At the top level is the MGO that handles long-term decisions of balancing the power flow between the Distributed Generators (DGs) and the electrical demand for a restructure realistic microgrid model. Optimal scheduling operation of the DGs and EVs is used within the MGO to minimise the total combined operating and emission costs of a hybrid microgrid including the unit commitment strategy. The results have convincingly revealed that discharging EVs could reduce the total cost of the microgrid operation. At the middle level is the CSO that manages medium-term decisions of centralising the operation of aggregated EVs connected to the bus-bar of the microgrid. An energy management concept of charging or discharging the power of EVs in different situations includes the impacts of frequency and voltage deviation on the system, which is developed upon the MGO model above. Comprehensive case studies show that the EVs can act as a regulator of the microgrid, and can control their participating role by discharging active or reactive power in mitigating frequency and/or voltage deviations. Finally, at the low level is the EVO that handles the short-term decisions of decentralising the functioning of an EV and essential power interfacing circuitry, as well as the generation of low-level switching functions. EVO level is a novel Power and Energy Management System (PEMS), which is further structured into three modular, hierarchical processes: Energy Management Shell (EMS), Power Management Shell (PMS), and Power Electronic Shell (PES). The shells operate chronologically with a different object and a different period term. Controlling the power electronics interfacing circuitry is an essential part of the integration of EVs into the microgrid within the EMS. A modified, multi-level, H-bridge cascade inverter without the use of a main (bulky) inductor is proposed to achieve good performance, high power density, and high efficiency. The proposed inverter can operate with multiple energy resources connected in series to create a synergized energy system. In addition, the integration of EVs into a simulated microgrid environment via a modified multi-level architecture with a novel method of Space Vector Modulation (SVM) by the PES is implemented and validated experimentally. The results from the SVM implementation demonstrate a viable alternative switching scheme for high-performance inverters in EV applications. The comprehensive simulation results from the MGO and CSO models, together with the experimental results at the EVO level, not only validate the distinctive functionality of each layer within a novel synergy to harness multiple energy resources, but also serve to provide compelling evidence for the potential of the proposed energy management and control framework in the design of future electric grids. The design framework provides an essential design to for grid modernisation

Development of a continous scanning laminograph Final report, 20 Jun. 1966 - 30 Jun. 1968

Continuous scanning X ray laminograph for nondestructive testing of multilayer printed circuit

Axonal membrane trafficking regulation and its failure in cargo delivery

Regulation of axonal trafficking of membrane-bound compartments is important for delivery of various neuronal cargoes towards the distal synapses and for quality control of damaged cellular components/toxic proteins. The contribution of Rab GTPase pathways in neurodegenerative pathologies and the regulatory mechanism to replenish various Rab proteins in the axonal periphery remain unclear. In the Encalada lab, we modeled familial prion disease axonopathies in primary murine hippocampal neurons, to determine (1) the biogenesis pathway that forms neurotoxic mutant prion protein (PrPmut) aggregates and (2) the consequences of PrPmut aggregate formation on cytoskeletal-organelle interactions within swollen axons that PrPmut aggregates reside. Firstly, I, and the research team, identified that the small GTPase ARL8 recruits kinesin-1 and HOPS for axonal transport and fusion, respectively, that generates neurotoxic PrPmut aggregates in non-degradative endolysosomes, called ‘endoggresomes.’ This axonal rapid endosomal sorting and transport-dependent aggregation (ARESTA) mechanism forms endoggresomes rapidly, and as a result impair calcium dynamics and neuronal viability. Inhibition of ARESTA reduces axonal endoggresome densities and rescues neuronal dysfunction, providing an anti-aggregation target to ameliorate prionopathies. Secondly, axonal micro-domain analysis of live organelle dynamics within endoggresome sites showed deficits to the MT-based active transport system, that result in enhanced mitochondrial-Rab7 endosomal contacts that induce mitochondrial fission via Rab7 activity and render retained mitochondria dysfunctional. In the Davis lab, I studied post-transcriptional fate of rab GTPase mRNA towards their axonal localization and function at the Drosophila larval neuromuscular junction (NMJ) pre-synapse. I found that a conserved RNA-binding protein Imp and kinesin-1 are required for rab11 mRNA delivery to axon termini and are required for synaptic plasticity and unimpaired locomotory behavior. Furthermore, I detected transcripts of multiple important rab GTPases for endosome recycling at the axonal and glial periphery at the NMJ, uncovering an unorthodox regulatory mechanism of axonal membrane trafficking

Low power data-dependent transform video and still image coding

Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.Includes bibliographical references (p. 139-144).This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.This work introduces the idea of data dependent video coding for low power. Algorithms for the Discrete Cosine Transform (DCT) and its inverse are introduced which exploit statistical properties of the input data in both the space and spatial frequency domains in order to minimize the total number of arithmetic operations. Two VLSI chips have been built as a proof-of-concept of data dependent processing implementing the DCT and its inverse (IDCT). The IDCT core processor exploits the presence of a large number of zerovalued spectral coefficients in the input stream when stimulated with MPEG-compressed video sequences. Adata-driven IDCT computation algorithm along with clock gating techniques are used to reduce the number of arithmetic operations for video inputs. The second chip is a DCT core processor that exhibits two innovative techniques for arithmetic operation reduction in the DCT computation context along with standard voltage scaling techniques such as pipelining and parallelism. The first method reduces the bitwidth of arithmetic operations in the presence of data spatial correlation. The second method trades off power dissipation and image compression quality (arithmetic precision.) Both chips are fully functional and exhibit the lowest switched capacitance per sample among past DCT/IDCT chips reported in the literature. Their power dissipation profile shows a strong dependence with certain statistical properties of the data that they operate on, according to the design goal.by Thucydides Xanthopoulos.Ph.D

Voltage-based droop control of converter-interfaced distributed generation units in microgrids

Sinds de laatste jaren is er in het elektrisch energienet een enorme toevloed aan kleine decentrale generatoren, vaak op basis van hernieuwbare energiebronnen. De distributienetten werden echter niet gebouwd om injectie van energie toe te laten. Hierdoor komen steeds meer problemen in de distributienetten voor, zoals bijvoorbeeld overspanningen tijdens zonnige periodes. Dit bemoeilijkt de verdere integratie van hernieuwbare energiebronnen. In deze context werd het microgrid concept voorgesteld om een gecoordineerde koppeling van decentrale generatoren in het net mogelijk te maken. Microgrids zijn kleine subnetten die lokaal hun elementen, zoals de generatoren en de lasten regelen om bepaalde doeleinden te bereiken. Ze kunnen bijvoorbeeld de spanningsregeling in hun net verzorgen of als een geheel meespelen in de energiemarkten. Een karakteristiek van microgrids is dat ze onafhankelijk van het net kunnen werken, in het zogenaamde eilandbedrijf. In eilandbedrijf moeten het verbruik en de opwekking op ieder tijdstip op elkaar afgesteld zijn. Aangezien microgrids erg verschillende eigenschappen hebben van het gewone elektrisch net, zijn hier specifieke regelstrategieen voor vereist. In deze doctoraatsverhandeling wordt een dergelijke regelstrategie uitgewerkt, de zogenaamde spanningsgebaseerde droop (proportionele) regeling. Het spanningsniveau wordt als de niet-conventionele parameter gebruikt om het microgrid te regelen