Thesis (Ph. D.)--University of California, Berkeley, 1993. / Includes bibliographical references (leaves 667-680).

International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada / With the development of microelectronics and computer technology, telemetry computer systems are demanded to provide larger storage capacity and higher storage data rate than ever before. This paper fully considers various factors of a high-speed PCM fiber-optic telemetry system such as data format, data rate, data storage, the width of data storage, storage data rate. All these considerations lead to a new scheme with a semiconductor RAM and a dedicated program as its basic idea. This scheme chooses 1Mbits or 4Mbits static-RAM chips to implement the telemetry data storage device with a total capacity of 4Mbytes, 16Mbytes, or 64Mbytes. The software running on COMPAQ 386/25M or its compatibles is written in Turbo C 2. 0 to fetch, decompose, display and process data stored in the large-capacity RAM. The main task of the system processing software is to identify the flag words of frame sync-code -pattern and then demultiplex the data into separate channel data to be stored in the disk. Besides the ability to recognize specific data format, the software can also rectify data confusion to some extent. The scheme has already been proved to be efficient to receive large capacity of data with features of high data rate, high data storage in a short time.

by Lau Man-fei and Leung Yip-shing. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1988. / Bibliography: leaves 58-59.

This thesis details a three dimensional model for simulating the operation of two particular configurations of a lithium iron phosphate (LiFePO¬4) battery. Large-scale lithium iron phosphate batteries are becoming increasingly important in a world that demands portable energy that is high in both power and energy density, particularly for hybrid and electric vehicles. Understanding how batteries of this type operate is important for the design, optimization, and control of their performance, safety and durability. While 1D approximations may be sufficient for small scale or single cell batteries, these approximations are limited when scaled up to larger batteries, where significant three dimensional gradients might develop including lithium ion concentration, temperature, current density and voltage gradients. This model is able to account for all of these gradients in three dimensions by coupling an electrochemical model with a thermal model. This coupling shows how electrochemical performance affects temperature distribution and to a lesser extent how temperature affects electrochemical performance. This model is applicable to two battery configurations — spirally wound and prismatically wound. Results generated include temperature influences on current distribution and vice versa, an exploration of various cooling environments’ effects on performance, design optimization of current collector thickness and current collector tab placement, and an analysis of lithium plating risk. / text

La technologie de base de données est un environnement adéquat pour l’interaction. Elle peutconcerner plusieurs composantes du SGBD : (a) les données, (b) les requêtes, (c) les techniques d’optimisationet (d) les supports de stockage. Au niveau des données, les corrélations entre les attributs sont très communesdans les données du monde réel, et ont été exploitées pour définir les vues matérialisées et les index. Au niveaurequêtes, l’interaction a été massivement étudiée sous le problème d’optimisation multi-requêtes. Les entrepôtsde données avec leurs jointures en étoile augmentent le taux d’interaction. L’interaction des requêtes a étéemployée pour la sélection des techniques d’optimisation comme les index. L’interaction contribue égalementdans la sélection multiple des techniques d’optimisation comme les vues matérialisées, les index, lepartitionnement et le clustering. Dans les études existantes, l’interaction concerne une seule composante. Danscette thèse, nous considérons l’interaction multi-composante, avec trois techniques d’optimisation, où chacuneconcerne une composante : l’ordonnancement des requêtes (niveau requêtes), la fragmentation horizontale(niveau données) et la gestion du buffer (niveau support de stockage). L’ordonnancement des requêtes (OR)consiste à définir un ordre d’exécution optimal pour les requêtes pour permettre à quelques requêtes debénéficier des données pré-calculées. La fragmentation horizontale (FH) divise les instances de chaque relationen sous-ensembles disjoints. La gestion du buffer (GB) consiste à allouer et remplacer les données dans l’espacebuffer disponible pour réduire le coût de la charge. Habituellement, ces problèmes sont traités soit de façonisolée ou par paire comme la GB et l’OR. Cependant, ces problèmes sont similaires et complémentaires. Uneformalisation profonde pour le scénario hors-ligne et en-ligne des problèmes est fournie et un ensembled’algorithmes avancés inspirés du comportement naturel des abeilles sont proposés. Nos propositions sontvalidées en utilisant un simulateur et un SGBD réel (Oracle) avec le banc d’essai star schema benchmark àgrande échelle. / The database technology is an adequate environment for the interaction. It may concern severalcomponents of the DBMS: (a) the data, (b) the queries, (c) the optimization techniques and (d) the devices. Atthe data level, correlations between attributes are extremely common in the real world relational data, and havebeen exploited to define materialized views and indexes. At the query level, interaction has been massivelystudied under the problem of multi-query optimization. The data warehouses with their star join queriesincrease the rate of the interaction. The query interaction has been used for selecting optimization techniquessuch as indexes. The interaction also contributes in selecting multiple optimization techniques such asmaterialized views, indexes, data partitioning and the clustering. In existing studies, the interaction concernsonly one component. In this thesis, we consider the multi-component interaction, with three optimizationtechniques, where each one concerns one component: the query scheduling (query level), the horizontal datapartitioning (data level) and the buffer management (device level). The query scheduling (QS) consists indefining an optimal order of executing queries to allow some queries to get benefit from already processed data.The horizontal data partitioning (HDP) divides the instances of each relation into disjoint subsets. The buffermanagement (BM) consists in allocating and replacing data in the buffer pool to lower the cost of queries.Usually, these problems are treated either in isolation or pairwise such as BM and QS. However, these problemsare similar and complementary. A deep formalization for off-line and online scenario of these problems is givenand advanced algorithms inspired from natural bees behavior are proposed. Our proposal has been validatedusing a simulator and real DBMS (Oracle) using a large scale of star schema benchmark.

Supercapacitors, also known as electrochemical capacitors, have shown great potential as energy storage devices; and 3D printing likewise as a manufacturing technique. This research progressively investigates combining these two technologies to fabricate 3D-printed, electrochemical double-layer capacitors (EDLCs). Small EDLCs were designed in a sandwich structure with an FDM-printed plastic frame and carbon electrodes. Inkjet printing was initially combined with FDM printing to produce a pilot sample with a silver ink current collector, however this performed poorly (Cs = 6 mF/g). Henceforth a paste extrusion system was added to the FDM printer to deposit the current collectors and electrodes, fabricating the entire device in a single continuous process. This process was progressively developed and tested, ultimately attaining specific capacitances of 200 mF/g. The fully integrated 3D printing process used to manufacture the EDLCs was a novel approach. Combining the FDM printer with a paste extruder allowed for a high degree of dimensional accuracy, as well as simplifying the production process. This aspect of the design functioned successfully, without significant faults, and proved a reliable fabrication method. The later designs used in this study provided the EDLCs extendable by incorporating connection jacks. This was to create the possibility to increase capacitance simply by connecting multiple EDLCs together. Tests of this feature showed that it worked well, with the extendable EDLCs delivering outputs very close to the theoretical maximum efficiency of the unit. Carbon conductive paint was applied as a current collector and electrode for the 3D printed EDLCs in an exploration of metal-free 3D printed supercapacitors. These metal-free EDLCs were found to provide around 60% of the specific capacitance of the best performing EDLC variant produced (silver paint current collectors with activated carbon and carbon paint mixture electrodes). Although considerable improvement is required to produce EDLC samples with comparable capacitances to existing commercial manufacturing techniques, this study lays important groundwork in this area, and has introduces effective and innovative design ideas for supercapacitors and integrated 3D printing processes.

京都大学 / 0048 / 新制・論文博士 / 博士(情報学) / 乙第13046号 / 論情博第93号 / 新制||情||107(附属図書館) / 33038 / 京都大学大学院情報学研究科社会情報学専攻 / (主査)教授 田中 克己, 教授 吉川 正俊, 教授 髙橋 豊 / 学位規則第4条第2項該当 / Doctor of Informatics / Kyoto University / DFAM

Master of Science / Department of Electrical and Computer Engineering / Anil Pahwa / A time may soon come where prices of electricity vary by time of day or season. Time of Day (TOD) pricing is considered by many to be a key part of creating a more energy-efficient and renewable-energy friendly grid. TOD pricing is also an integral part of Smart Grid and is already available to some customers. With TOD pricing becoming a reality, intelligent dispatching systems that utilize Energy Storage Devices (ESDs) to maximize the use of renewable resources, such as energy produced by small, customer owned wind generators and roof-top solar generators, and grid energy while determining the most economical dispatch schedule could play an important role for both the customer and the utility. This purpose of this work is to create an algorithm upon which these dispatching systems can be based. The details of one proposed algorithm are presented. The full development of the algorithm from its most simplistic form into a much more complex system that takes into account all of the major nonidealities of a real system is given. Additionally, several case studies are presented to show the effectiveness of the algorithm from both a technical standpoint and an economic standpoint. The case studies simulated both wind and solar powered devices using data taken in the state of Kansas, but case studies to emulate electric rates and renewable resources in other areas of the country are presented as well. For each of these case studies, 20 year net present value calculations are presented to determine the economic viability of both the renewable energy production and the dispatching systems.

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