In this thesis, we propose a high level design for connectivity visualization of OLSRbased MANET topology based on local topology databases available in an OLSR node. Two different scenarios are considered: a central (full view) topology from a command and control location, or a nodal (partial) view from an ad-hoc node. A simulation-based analysis is conducted to calculate total number of active links at a particular time in full and nodal topology views. Also the error rate of network topology discovery based on total undiscovered link both mobile and static scenario is considered and reported. We also come up with an analytical model to analyse the network bandwidth and overhead of using TC, HELLO and custom NIM message to evaluate the performance of centralized visualization to build full map of the network with respect to situational awareness system. This thesis also presents a multi-node, 2-dimensional, distributed technique for coarse (approximate) localization of the nodes in a tactical mobile ad hoc network. The objective of this work is to provide coarse localization information based on layer-3 connectivity information and a few anchor nodes or landmarks, and without using traditional methods such as signal strength, Time of Arrival (ToA) or distance information. We propose a localization algorithm based on a Force-directed method that will allow us to estimate the approximate location of each node based on network topology information from a local OLSR database. We assume the majority of nodes are not equipped with GPS and thus do not have their exact location information. In our proposed approach we make use of the possible existence of known landmarks as reference points to enhance the accuracy of localization. / UOIT

If companies want to stand out in the competitive market environment to raise customer awareness, they must understand customers¡¦ requirements, interests, and behaviors. In the past, a company gets customers¡¦ information to support decision making by doing market survey or analyzing historical transaction data. Some researches have showed that if a company can integrate market survey and transaction data analysis, the company can get a more comprehensive and complete information about customers. Although previous researches have indicated that it is very useful for a company to make good decisions by integrating market survey and transaction data analysis, there is still little research addressing this issue in education. The study aimed to explore the relationship between information analyzed from historical transaction data and from market survey for higher education. Our research scope focuses on the PhD programs of management schools. The result shows that student performance is strongly related to department reputation. Some suggestions for departments that want to improve their reputation as follows: improving the number of research grants gained from the National Science Council, increasing the number of graduate PhD students as supervisors and increasing the number of published papers and thesis under their supervision, expanding the number of graduate PhD students applying for National Science Council grants, and promoting the percentage of graduate PhD students teaching in public universities. It is evident that education stakeholders can combine market survey and historical data analysis to get more complete information for decision making Finally, this research would also bring up some practical suggestions and promote future research.

It¡¦s the age of network now. More and more people use the network and network management becomes important. The ISO sets the network management model: accounting management, configuration management, performance management, fault management and security management. Network topology plays an important role of them. Network topology can help network manager to manage network devices efficiently and to handle some problems. So, topology discovery is an important technology that can help us to find out the network topology. Although there are many network management tools having topology discovery function, they are commercial secret and usually need pay. Because of network topology is important of network management and commercial network management software isn¡¦t free, we want to study topology discovery to find the suitable algorithm of topology discovery which can find out network layer topology and data link layer topology. Then we will modify the algorithm to help us to implement the system of topology discovery. This system needs minor factors and less influence on network. It can discover topology efficiently.

This study contributes a methodology and associated toolkit developed to allow users to experiment with the use of combined features in classification problems. Methods are provided for efficiently generating combined features from an original feature set, for efficiently selecting the most discriminating of these generated combined features, and for efficiently performing a preliminary comparison of the classification results when using the original features exclusively against the results when using the selected combined features. The potential benefit of considering combined features in classification problems is demonstrated by applying the developed methodology and toolkit to three sample data sets where the discovery of combined features containing new discriminating information led to improved classification results.

Thesis (Ed. D.)--West Virginia University, 2005. / Title from document title page. Document formatted into pages; contains xiii, 111 p. : ill. Includes abstract. Includes bibliographical references (p. 103-107).

Thesis (M. Ed.)--University of Hong Kong, 1994. / Includes bibliographical references.

Thesis (M.Ed.)--University of Hong Kong, 1994. / Includes bibliographical references. Also available in print.

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2016. / Submitted by Albânia Cézar de Melo (albania@bce.unb.br) on 2017-02-16T12:12:59Z No. of bitstreams: 1 2016_MichelGomesNogueira.pdf: 1841523 bytes, checksum: d939a2b21132fc8f2e97bc9139be10a1 (MD5) / Approved for entry into archive by Raquel Viana(raquelviana@bce.unb.br) on 2017-03-22T22:24:54Z (GMT) No. of bitstreams: 1 2016_MichelGomesNogueira.pdf: 1841523 bytes, checksum: d939a2b21132fc8f2e97bc9139be10a1 (MD5) / Made available in DSpace on 2017-03-22T22:24:54Z (GMT). No. of bitstreams: 1 2016_MichelGomesNogueira.pdf: 1841523 bytes, checksum: d939a2b21132fc8f2e97bc9139be10a1 (MD5) / O trabalho descrito nesta dissertação trata do uso do processo de e-Discovery para verificar as descobertas eletrônicas encontradas que podem evidenciar uma provável falha de segurança da informação, possivelmente gerando prejuízos financeiros, econômicos e à imagem da organização. A proposta deste trabalho é uma adaptação do processo de e-Discovery para a identificação, preservação, processamento, análise e produção de informações armazenadas eletronicamente, e que sirvam de proposta para aprimoramento de Sistema de Gestão de Segurança da Informação, bem como na sustentabilidade da Governança da Tecnologia da Informação – TI. A análise dos controles de Segurança da Informação, por meio da perspectiva do e-Discovery, pode contribuir com a identificação prévia de vulnerabilidades e com a capacidade da organização em coletar e preservar evidências relacionadas a um eventual processo de litígio de forma eficiente e com menores custos. / The work described in this thesis deals with the use of the electronic discovery process for early identification of information security failure that can possibly generate financial/economic losses and / or damage to the organization's image. The proposed model involves the identification, preservation, processing, analysis and production of electronically stored information as a tool for improvement of the organization´s Information and Communications Security System, as well as the sustainability of Governance of Information Technology – IT. The analysis of the security controls through the perspective of the e-discovery can help early identification of vulnerabilities, improving the organization’s ability to preserve and collect potentially relevant evidence in an efficient, cost-effective and defensible manner.

The failure of the pharmaceutical industry to increase the delivery of new drugs into the market is driving a re-assessment of practices and methods in drug discovery and development. In particular alternative strategies are being pursued to find therapeutics that are more selective, including small molecules that target protein-protein interactions. However, success depends on improving our understanding of the recognition of small molecules by interfaces in order to develop better methods for maximising their affinity and selectivity, whilst trying to confer an appropriate therapeutic profile. This thesis starts with the description of the creation of TIMBAL, a database that holds small molecules disrupting protein-protein interactions. The thesis then focuses on the analysis of these molecules and their interactions in a medicinal chemistry and structural biology context. TIMBAL molecules are profiled against other sets of molecules (drugs, drug-like and screening compounds) in terms of molecular properties. Using the structural databases in the Blundell group, the atomic detail of the interaction patterns of TIMBAL molecules with their protein targets are compared with other molecules interacting with proteins, comprising natural molecules, small peptides, synthetic small molecules (including drug-like and drugs) and other proteins. The structural features and composition of the binding sites of these complexes are also analysed. Keeping in mind that current drug candidates are somewhat too lipophilic to succeed, these interaction profiles are defined in terms of polar and apolar contacts, with the aim of migrating natural patterns into the design of new therapeutics.

Yes / There are hundreds of ligands which can interact with G-quadruplex DNA, yet very few which target i-motif. To appreciate an understanding between the dynamics between these structures and how they can be affected by intervention with small molecule ligands, more i-motif binding compounds are required. Herein we describe how the drug mitoxantrone can bind, induce folding of and stabilise i-motif forming DNA sequences, even at physiological pH. Additionally, mitoxantrone was found to bind i-motif forming sequences preferentially over double helical DNA. We also describe the stabilisation properties of analogues of mitoxantrone. This offers a new family of ligands with potential for use in experiments into the structure and function of i-motif forming DNA sequences.