Face detection in video sequence is becoming popular in surveillance applications. The trade-off between obtaining discriminative features to achieve accurate detection versus computational overhead of extracting these features, which affects the classification speed, is a persistent problem. Two ideas are introduced to increase the features’ discriminative power. These ideas are used to implement two frontal face detectors examined on a 2D low-resolution surveillance sequence. First contribution is the parallel classifier. High discriminative power features are achieved by fusing the decision from two different features trained classifiers where each type of the features targets different image structure. Accurate and fast to train classifier is achieved. Co-occurrence of Local Binary Patterns (CoLBP) features is proposed, the pixels of the image are targeted. CoLBP features find the joint probability of multiple LBP features. These features have computationally efficient feature extraction and provide high discriminative features; hence, accurate detection is achieved.

Wireless Sensor Networks (WSNs) have enticed a strong attention in the research community due to the broad range of applications and services they support. WSNs are composed of intelligent sensor nodes that have the capabilities to monitor different types of environmental phenomena or critical activities. Sensor nodes operate under stringent requirements of scarce power resources, limited storage capacities, limited processing capabilities, and hostile environmental surroundings. However, conserving sensor nodes’ power resources is the top priority requirement in the design of a WSN as it has a direct impact on its lifetime. The IEEE 802.15.4 standard defines a set of specifications for both the PHY layer and the MAC sub-layer that abide by the distinguished requirements of WSNs. The standard’s MAC protocol employs an intelligent backoff algorithm, called the Binary Exponent Backoff (BEB), that minimizes the drainage of power in these networks. In this thesis we present an in-depth study of the IEEE 802.15.4 MAC protocol to highlight both its strong and weak aspects. We show that we have enticing opportunities to improve the performance of this protocol in the context of WSNs. We propose three new backoff algorithms, namely, the Standby-BEB (SB-BEB), the Adaptive Backoff Algorithm (ABA), and the Priority-Based BEB (PB-BEB), to replace the standard BEB. The main contribution of the thesis is that it develops a new design concept that drives the design of efficient backoff algorithms for the IEEE 802.15.4-based WSNs. The concept dictates that controlling the algorithms parameters probabilistically has a direct impact on enhancing the backoff algorithm’s performance. We provide detailed discrete-time Markov-based models (for AB-BEB and ABA) and extensive simulation studies (for the three algorithms) to prove the superiority of our new algorithms over the standard BEB.

本文利用1999年，行政院衛生署家庭計畫研究所之「臺灣地區老人保健與生活問題長期追蹤調查系列研究調查資料」探討台灣地區老年人健康與住宅所有權之關係。實證方法採用binary logistic regression來探討模型一與模型二。模型一以三個健康指標來衡量老人健康狀態，第一個指標為主觀健康，即老年人認為本身是否健康，第二個指標為日常生活活動之限制 (ADLs)，第三個指標為日常生活工具性活動 (IADLs)。得出結果若健康指標為IADLs和 ADLs則住宅所有權屬於自己和配偶的會比較健康。但是若以主觀健康衡量之，則住宅所有權對健康沒有顯著影響。模型二將住宅所有權分為二類，第一類為廣義自有屋，第二類為狹義自有屋。若是住宅所有權為廣義自有屋，則健康狀況對住宅所有權並沒有顯著影響。住宅所有權為狹義自有屋時，ADLs和IADLs方面越健康者，則越可能持有狹義自有屋。

In this dissertation, I consider linear, binary response correlated random coefficient (CRC) panel data models and a truncated CRC panel data model which are frequently used in economic analysis. I focus on the nonparametric identification and estimation of panel data models under unobserved heterogeneity which is captured by random coefficients and when these random coefficients are correlated with regressors. For the analysis of linear CRC models, I give the identification conditions for the average slopes of a linear CRC model with a general nonparametric correlation between regressors and random coefficients. I construct a sqrt(n) consistent estimator for the average slopes via varying coefficient regression. The identification of binary response panel data models with unobserved heterogeneity is difficult. I base identification conditions and estimation on the framework of the model with a special regressor, which is a major approach proposed by Lewbel (1998, 2000) to solve the heterogeneity and endogeneity problem in the binary response models. With the help of the additional information on the special regressor, I can transfer a binary response CRC model to a linear moment relation. I also construct a semiparametric estimator for the average slopes and derive the sqrt(n)-normality result. For the truncated CRC panel data model, I obtain the identification and estimation results based on the special regressor method which is used in Khan and Lewbel (2007). I construct a sqrt(n) consistent estimator for the population mean of the random coefficient. I also derive the asymptotic distribution of my estimator. Simulations are given to show the finite sample advantage of my estimators. Further, I use a linear CRC panel data model to reexamine the return from job training. The results show that my estimation method really makes a difference, and the estimated return of training by my method is 7 times as much as the one estimated without considering the correlation between the covariates and random coefficients. It shows that on average the rate of return of job training is 3.16% per 60 hours training.

It is believed that quantum computers would be able to solve complex problems more quickly than any other deterministic or probabilistic computer. Quantum computers basically exploit the rules of quantum mechanics for speeding up computations. However, building a quantum computer remains a daunting task. A quantum computer, as in any quantum mechanical system, is susceptible to decohorence of quantum bits resulting from interaction of the stored information with the environment. Error correction is then required to restore a quantum bit, which has changed due to interaction with external state, to a previous non-erroneous state in the coding subspace. Until now the methods for quantum error correction were mostly based on stabilizer codes over finite fields. The aim of this thesis is to construct quantum error correcting codes over finite Frobenius rings. We introduce stabilizer codes over quadratic algebra, which allows one to use the hamming distance rather than some less known notion of distance. We also develop propagation rules to build new codes from existing codes. Non binary codes have been realized as a gray image of linear Z4 code, hence the most natural class of ring that is suitable for coding theory is given by finite Frobenius rings as it allow to formulate the dual code similar to finite fields. At the end we show some examples of code construction along with various results of quantum codes over finite Frobenius rings, especially codes over Zm.

There is a strong link between solubility, and thus crystallisation, and the molecular interactions of proteins in dilute salt solutions. Such molecular interactions are governed by the weak interaction forces (electrostatic, hydration and hydrophobic). Such forces can be quantitatively estimated in terms of a second virial self-coefficient (B22) and a second virial cross-coefficient (B23) for a single and a binary protein system, respectively. Previous studies confirmed the relation between a value of the second virial coefficient and a type of interaction (attractive or repulsive). The aim of this thesis is to correlate the second virial coefficient with the solubility and nucleation for single and binary protein systems. Model proteins used in this work are lysozyme and ovalbumin from egg-white, and α-amylase from Bacillus Licheniformis (BLA). The measurements are performed for sodium chloride and ammonium sulphate solutions in an acidic pH at 20 oC. Interaction chromatography is used in this work to estimate the B22 and B23 values for the model proteins in salt solutions. From the measured values of B22 and B23, the type of interaction is generalised as a function of the salt type, salt concentration, pH and protein type. For the single protein systems, in ammonium sulphate solutions (0.1 - 2.4 M) at pH 4.0 and 7.0, repulsion or no interactions are observed below 0.8 M and, as the salt concentrations are increased attractive self-interactions are observed for the model proteins. However, for the sodium chloride solutions (0.1 - 2.0 M) at pH 4.0 and 7.0, the interaction patterns vary with the salt concentration, the pH and the type of protein studied. A common feature of the self-interaction for all the model proteins is the attractive interactions close to the isoelectric point. For the binary protein systems, three distinct regions are observed in the ammonium sulphate solutions (0.1 - 1.6 M) at pH in the range 4.0 - 7.0. Attractive or no cross-interactions are observed at low salt concentrations (< 0.5 M). At the intermediate salt concentrations (0.5 - 1.0 M), the cross-interactions are constant and near zero. This is followed by a sharp increase in the attractive interactions above 1.0 M ammonium sulphate concentrations. However, for sodium chloride solutions (0.1 - 1.6 M) at pH 4.0 - 7.0, two distinct regions are observed. Attraction or no interactions are observed at low salt concentrations (< 0.5 M) and above 0.5 M concentrations of sodium chloride, negligible cross-interactions are observed between model proteins. For the single protein system, an overall increase in the solubility of three model proteins is observed with an increase in the concentrations of ammonium sulphate and also for sodium chloride solutions except for BLA, where a salting-in behaviour is observed. Linear regression is used on the solubility data to determine the parameters of the Cohn equation (β and Ks) where the values of β vary with solution pH, protein type and salt type. The values of Ks vary with protein type and salt type. However, it is insensitive to the solution pH for lysozyme in ammonium sulphate, ovalbumin in sodium chloride and BLA in ammonium sulphate solutions. For the binary protein system, the presence of ovalbumin had a measurable effect on lysozyme solubility at pH < 5.0 in both salts. In low concentration sodium chloride solutions (< 0.3 M), a decrease in the solubility of lysozyme was observed with the presence of ovalbumin at acidic pH < 5.0. However, in ammonium sulphate solutions, the lysozyme solubility increases with the addition of ovalbumin in the salt concentration range 1.6 - 2.0 M and at pH < 4.0. The primary nucleation threshold values are also determined for lysozyme in sodium chloride and ammonium sulphate solutions. In sodium chloride solutions (0.2 - 1.0 M), the critical supersaturation values increase as the solution pH is raised from 4.0 to 7.0; however in ammonium sulphate solutions (1.0 - 2.0 M), the reverse effect is observed. The critical supersaturation required to nucleate lysozyme in ammonium sulphate solutions is approximately three times higher than in sodium chloride solutions. For the single protein systems, the measured values of solubility and B22 were correlated using published models (RSL and HDW). For each protein-salt combination, a reasonable single correlation between solubility and B22 is possible as the salt concentrations and pH are varied. There are separate correlations for sodium chloride and ammonium sulphate solutions. Based on the correlation curve of solubility and B22, it is proposed that the acidic pH range (4.0 - 5.0) is better for crystallising and precipitating globular proteins from these salt solutions. If the values of solubility and B22 are converted into a non-dimensional quantity, the data derived from the different protein-salt systems collapse onto a single curve for the same salt type. The B22 values are also correlated with the critical supersaturation (ln(c*/S)) for the primary nucleation of lysozyme in salt solutions. The values of the critical supersaturation increase as the values of the second virial coefficient become negative or reduce. The ideal critical supersaturation required to create nuclei of lysozyme in salt solutions is between 0.1 and 1.4. For the binary protein systems, B23 values were related to the slope of the lysozyme and ovalbumin plot at same salt concentration and solution pH. Further work is required for binary protein systems to generalise such correlations as a function of the salt concentration and pH. The correlations derived in this thesis are useful generally to predict the solubility and primary nucleation of globular protein in salt solutions. This work reinforces the importance of the second virial coefficient in predicting the crystallisation of protein in salt solutions.

It has become well known that an evolutionary tree is inadequate to represent fully the history of life. Two possible ways of dealing with this are the rooted subtree prune and regraft distance between a pair of trees, which measures how different they are, and the slightly more biologically sound hybridisation number of a set of trees that attempts to determine the minimum number of hybrid events that must have occurred for a given set of evolutionary trees. When characterised via agreement forests both problems are, although NP hard, fixed parameter tractable---meaning the problem can be converted to a similar problem with a smaller input size. This thesis investigates ways of improving existing algorithms for calculating the minimum rooted subtree prune and regraft distance and hybridisation number for a pair or, in the latter case, set of trees. In both cases a technique is used that allows the problem to be rekernelised during the run of the program. Another, less effective method, is also looked at which finds the rooted subtree prune and regraft distance or hybridisation number solely on what cannot be contained within any agreement forest. Additionally the characterisation of the minimum rooted subtree prune and regraft distance via maximum agreement forests is extended to non-binary trees and the hybridisation number of a set of phylogenetic trees is extended to unrooted trees.

No description available.

Thesis (Ph. D.)--State University of New York at Binghamton, Mechanical Engineering Department, 2005. / Includes bibliographical references (leaves 149-155).

Thesis (M.S.)--State University of New York at Binghamton, Department of Computer Science, Thomas J. Watson School of Engineering and Applied Science, 2005. / "This dissertation is a compound document (contains both a paper copy and a CD as part of the dissertation)"--ProQuest abstract document view. Includes bibliographical references.