Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1980. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Bibliography: leaves 116-120. / by Robert Cregar Berwick. / M.S.

Thesis. 1976. B.S.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. / Microfiche copy available in Archives and Engineering. / Bibliography: leaf 21. / B.S.

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1979. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING / Bibliography: leaves 49-50. / by Thomas F. Knight, Jr. / M.S.

Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1979. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Includes bibliographical references. / by Jeremy Howard Nussbaum. / B.S.

Leung Siu Kuen. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaves 67-68). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation --- p.1 / Chapter 1.1.1 --- A Story --- p.1 / Chapter 1.2 --- Overview --- p.2 / Chapter 1.2.1 --- Introduction of SQL Injection --- p.4 / Chapter 1.3 --- The importance of SQL Injection --- p.6 / Chapter 1.4 --- Thesis organization --- p.8 / Chapter 2 --- Background --- p.10 / Chapter 2.1 --- Flow of web applications using DBMS --- p.10 / Chapter 2.2 --- Structure of DBMS --- p.12 / Chapter 2.2.1 --- Tables --- p.12 / Chapter 2.2.2 --- Columns --- p.12 / Chapter 2.2.3 --- Rows --- p.12 / Chapter 2.3 --- SQL Syntax --- p.13 / Chapter 2.3.1 --- SELECT --- p.13 / Chapter 2.3.2 --- AND/OR --- p.14 / Chapter 2.3.3 --- INSERT --- p.15 / Chapter 2.3.4 --- UPDATE --- p.16 / Chapter 2.3.5 --- DELETE --- p.17 / Chapter 2.3.6 --- UNION --- p.18 / Chapter 3 --- Details of SQL Injection --- p.20 / Chapter 3.1 --- Basic SELECT Injection --- p.20 / Chapter 3.2 --- Advanced SELECT Injection --- p.23 / Chapter 3.2.1 --- Single Line Comment (--) --- p.23 / Chapter 3.2.2 --- Guessing the number of columns in a table --- p.23 / Chapter 3.2.3 --- Guessing the column name of a table (Easy one) --- p.26 / Chapter 3.2.4 --- Guessing the column name of a table (Difficult one) . --- p.27 / Chapter 3.3 --- UPDATE Injection --- p.29 / Chapter 3.4 --- Other Attacks --- p.30 / Chapter 4 --- Current Defenses --- p.32 / Chapter 4.1 --- Causes of SQL Injection attacks --- p.32 / Chapter 4.2 --- Defense Methods --- p.33 / Chapter 4.2.1 --- Defensive Programming --- p.34 / Chapter 4.2.2 --- hiding the error messages --- p.35 / Chapter 4.2.3 --- Filtering out the dangerous characters --- p.35 / Chapter 4.2.4 --- Using pre-complied SQL statements --- p.36 / Chapter 4.2.5 --- Checking for tautologies in SQL statements --- p.37 / Chapter 4.2.6 --- Instruction set randomization --- p.38 / Chapter 4.2.7 --- Building the query model --- p.40 / Chapter 5 --- Proposed Solution --- p.43 / Chapter 5.1 --- Introduction --- p.43 / Chapter 5.2 --- Natures of SQL Injection --- p.43 / Chapter 5.3 --- Our proposed system --- p.44 / Chapter 5.3.1 --- Features of the system --- p.44 / Chapter 5.3.2 --- Stage 1 - Checking with current signatures --- p.45 / Chapter 5.3.3 --- Stage 2 - SQL Server Query --- p.45 / Chapter 5.3.4 --- Stage 3 - Error Triggering --- p.46 / Chapter 5.3.5 --- Stage 4 - Alarm --- p.50 / Chapter 5.3.6 --- Stage 5 - Learning --- p.50 / Chapter 5.4 --- Examples --- p.51 / Chapter 5.4.1 --- Defensing BASIC SELECT Injection --- p.52 / Chapter 5.4.2 --- Defensing Advanced SELECT Injection --- p.52 / Chapter 5.4.3 --- Defensing UPDATE Injection --- p.57 / Chapter 5.5 --- Comparison --- p.59 / Chapter 6 --- Conclusion --- p.62 / Chapter A --- Commonly used table and column names --- p.64 / Chapter A.1 --- Commonly used table names for system management --- p.64 / Chapter A.2 --- Commonly used column names for password storage --- p.65 / Chapter A.3 --- Commonly used column names for username storage --- p.66 / Bibliography --- p.67

A general XML index can itself be sizable leading to low efficiency. To alleviate this predicament, frequently asked queries can be indexed by a database system. They are referred to as views. Answering queries using materialized views is always cheaper than evaluating over the base data. Traditional techniques solve this problem by considering only a single view. We approach this problem by exploiting the potential relationships of multiple views, which can be used together to answer a given query. Experiments show that significant performance gain can be achieved from multiple views. / A XML query can be decomposed to a sequence of structural joins (e.g., parent/child and ancestor/descendant) and content joins. Thus, structural join optimization is a key to improving join-based evaluation. We optimize structural join with two orthogonal methods: partition-based method exploits the spatial specialities of XML encodings by projecting them on a plane; and location-based method improves structural join by accurately pruning all irrelevant nodes, which cannot produce results. / As XML (eXtensible Markup Language) becomes a universal medium for data exchange over the Internet, efficient XML query processing is now the focus of considerable research and development activities. This thesis describes works toward efficient XML query evaluation and optimization in native XML databases. / XML indexes are widely studied to evaluate XML queries and in particular to accelerate join-based approaches. Index-based approaches outperform join-based approaches (e.g., holistic twig join) if the queries match the index. Existing XML indexes can only support a small set of XML queries because of the varieties in XML query representations. A XML query may involve child-axis only, both child-axis and branches, or additional descendant-or-self-axis but only in the query root. We propose novel indexes to efficiently support a much wider range of XML queries (with /, //, [], *). / Tang, Nan. / "December 2007." / Advisers: Kam-Fei Wong; Jeffrey Xu Yu. / Source: Dissertation Abstracts International, Volume: 69-08, Section: B, page: 4861. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2007. / Includes bibliographical references (p. 152-163). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.

Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, June 2003. / Includes bibliographical references (leaves 20-21). / This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. / Linux has become a viable alternative to Windows in recent years. This investigation looks at the feasibility of porting the software for a PC-based medical device to Linux. Using an open-source operating system frees developers from the constraints imposed by relying on a single company for the development platform. Several porting methods are considered. The port method chosen allows development on the Windows version to continue while simultaneously testing on Linux, without creating separate versions of the software. Differences in the way the software interacts with the operating system and with the hardware have to be addressed. A Linux environment was created in which to run the software and determine how to reconcile these differences. No major hurdles to using Linux exist, so it appears to be a viable platform on which to conduct future development. / by Steven B. Lustbader. / M.Eng.and S.B.

Typescript, etc. / Digitized by Kansas Correctional Industries

Typescript, etc. / Digitized by Kansas Correctional Industries

Em 2007 o complexo de soja foi responsável por 19 por cento do total das exportações do agronegócio brasileiro, gerando mais de U$11 bilhões em divisas. Projeções indicam que até 2020 o Brasil deverá produzir 105 milhões de toneladas de soja, ou 81 por cento a mais do que a atual produção. Apesar de incidir sobre a produtividade a maior expectativa de crescimento, espera-se que a expansão significativa em área ocorra nas regiões de baixa latitude dos Cerrados, e em especial, no estado do Mato Grosso. É fundamental a determinação de estratégias que considerem produção, dimensões econômicas e ambientais. O uso da modelagem agrícola é a única forma de explorar sistematicamente o potencial produtivo em escala global e predizer produtividades futuras em determinadas condições. A utilização de computadores e banco de dados torna-se uma ferramenta cada vez mais necessária, no sentido de disponibilizar rapidamente informações de qualidade a um custo relativamente inferior, quando em comparação a experimentos de campo. O modelo LINTUL, desenvolvido pela Universidade de Wageningen, foi extensamente utilizado para predizer a produtividade potencial de culturas baseado no uso eficiente da radiação solar, sob condições ótimas de desenvolvimento. A cultura de soja, porém, nunca foi testada por este modelo. Sendo assim, os objetivos deste trabalho foram: (i) adaptação, por intermédio da parametrização e da calibração do modelo LINTUL para estimação da produtividade potencial da cultura de soja; (ii) disponibilizar um algoritmo em Visual Basic (Microsoft), validando e replicando os procedimentos do LINTUL, tornando este modelo acessível a uma ampla gama de usuários. Para a parametrização do modelo, foram consideradas características específicas da cultura, como por exemplo, a sensibilidade ao fotoperíodo. Para calibração, foram usados dados de experimento de campo conduzido em Planaltina-DFe Sorriso- MT. Os parâmetros não avaliados no experimento foram extensivamente revisados com base na literatura. Os principais componentes do processo de crescimento e desenvolvimento da cultura foram analisados individualmente através de comparativos de respostas. Posteriormente, um estudo de adequação do modelo foi feito, com objetivo de viabilizar uma comparação de comportamentos, quando em diferentes situações. As variáveis climáticas usadas neste modelo foram temperatura máxima e mínima e radiação solar. A simulação dos estádios fenológicos é baseada na soma térmica. O modelo LINTUL-soja demonstrou excelente desempenho quanto à predição de tendências, com a variação dos valores dos parâmetros. Todavia, o modelo necessita de ajustes quanto a introdução de módulos, que contemplem o balanço de carboidratos. O uso de uma linguagem de programação aberta, como o Visual Basic, replicou a linguagem usada pelo modelo LINTUL com sucesso. / In 2007 the soybean complex was responsible for more than 19% of the total Brazilian agribusiness exports, which corresponded to US$ 11 billion generated in currencies. According to projections, soybean production in Brazil will increase significantly till 2020, reaching 105 million tons, or an addition of 81 percent to the current crop season. That huge difference is expected to come from a significant increase in yield, while the increase in acreage should come from the low-latitude regions of Cerrados, mainly in Mato Grosso state. Thus, it becomes extremely important to set out strategies that consider production, economic and environmental dimensions. The usage of agricultural modeling is the only mean of systematically exploring the production potential on global scale and predict future yield in certain conditions. Computers and database application becomes an implement even more efficient in respect of turn quickly and quality information available with lower costs, when compared to the field experiments. The LINTUL model was developed by the Wageningen University, and extensively used to predict crop potential production based on radiation use efficiency concept, under optimal conditions of growth. The soybean crop has never been tested by this model. The goals of this research are: (i) to adapt - through parameterizing and calibration - the LINTUL model to estimate the potential production of soybean; (ii) to provide an algorithm in Visual Basic language, in order to validate the calculations and replicate the procedures executed by LINTUL, making this model accessible to a wide range of users. In order to parameterize the model, crop-specific characteristics were taken into account, such as the sensibility of soybean to photoperiod. In respect to calibration, it was used field data collected in Planaltina-DF and Sorriso-MT. The mainly components of the growth and development process were analyzed based on response comparatives. Afterward, it was done a study of adequacy of the model, in order to enable a comparison of behaviors, when in different situations. The climatic variables used in this model were maximum and minimum temperature and solar radiation. The simulation of phenological stages was based on thermal unit concept. The LINTUL-soybean model has demonstrated an excellent performance to predict trends, with the change in the parameters values. However, the model needs to be adjusted in respect to an introduction module to calculate the carbohydrates balance into the canopy. The use of an open programming language, such as Visual Basic, replied the language used by LINTUL model successfully.