Miracle-dz/UniFAR-FTUs huggingface dataset:
Applying Ontology Modularization to Argumentation over Ontology Correspondences in MAS

Efficient agent communication in open and dynamic environments relies on the agents ability to reach a mutual understanding over message exchanges. Such environments are characterized by the existence of different agents, which may commit to different ontologies, with no prior assumptions regarding the use of shared vocabularies. Various approaches have therefore considered how mutually acceptable mappings may be determined dynamically between agents through negotiation. However, this process can be highly complex, reaching ? (p)2 -complete. Whilst it is non-trivial to reduce this complexity, we have explored the use of ontology modularization as a means of reducing the space of possible concepts over which the agents have to negotiate. In this paper, we propose an approach that combines modularization with argumentation to generate focused domains of discourse to facilitate communication. We empirically demonstrate that we can not only reduce the number of alignments required to reach consensus by an average of 75%, but that in 41% of cases, we can identify those agents that would not be able to fully satisfy the request, without the need for negotiation.
MEASUREMENT OF SLOSHING FLOW USING PARTICLE IMAGE VELOCIMETRY

In this study, a particle image velocimetry (PIV) technique is used for measuring the velocity vectors of sloshing flow, and the measured velocity fields are compared with those of an analytic solution. For this PIV experiment, a two-dimensional rectangular tank and two high speed cameras are installed on motion platform. Various image capturing methods and filtering schcmcs arc used for velocity vector analysis. The velocity vectors of fluid flow are compared between experimental data and analytic solutions.
Multivariate Analysis of Sensory Data

In this thesis a sensory profiling data set describing the quality of fish on 17 different sensory attributes as evaluated by ten assessors is analyzed with main focus on the differences between products (fish given different feed and stored on ice a different amount of days. Especially the difference resulting from different feed is of interest. The analysis will be done by a number of multivariate methods. Comparison of the performance of the methods on the given data set is also an objective of the thesis, but only secondary. The data analytical strategy involves a descriptive statistical analysis to obtain an overview of the distribution and standard deviations of the scores for each sensory attribute along with the correlations between pairs of attributes. Especially the presence of multicollinearity is of interest as the performance of the multivariate methods depends on this. A Principal Component Analysis (PCA) is employed in order to visualize the main tendencies of variation. 3-way and 4-way univariate mixed models are analysed in order to model multivariate test statistics. 3-way and 4-way mixed model MANOVA are done together with Canonical Variate Analysis (CVA) in order to visualize the main tendencies in the same way as done with the PCA, but taking the error structure into account and with p-values for difference in products. A 50-50 MANOVA is done using the principles of both PCA and MANOVA, hereby obtaining test statistics on dimension reduced data. The statistical reliability and predictive validity of the product differences are obtained by (M)ANOVA and cross validation. Similar data structures are observed in the various multivariate (and univariate) methods with slight differences. Odor, flavor and texture attributes differentiated the fish samples and the different type of feed had an effect on the sensory evaluation of the fish.
Multi-person tracking using dynamic programming

The tracking algorithm presented in this work makes assignments of people to foreground blobs in each frame by choosing the assignments that are most strongly supported over a window of time. Real-world constraints such as color constancy and motion continuity are encoded using inter-frame histogram intersection and intraframe distance measurements. These measurements are then used to connect a graph of hypotheses at each frame. The graph is searched using dynamic programming for the best decision based on the least cost path from the frame about to be committed till the newest frame taken. Contextual information about how close people are to each other and how long they have been apart is used to decide which features to update when an assignment is made. The algorithm was implemented using a static overhead Intel color camera in an indoor space on a 300MHz dual-Pentium II PC using 160x120 resolution images. Reliable results were obtained with 30 minutes of video of two to four people interacting in the space. People walked around, met and talked, lay down on the bed, or sat down on the chairs or floor. Thesis Supervisor: Trevor Darrell Title: Assistant Professor of EECS
On entrainment in sheared convective boundary layers

The purpose of this dissertation is to advance our knowledge of wind-shear effects on entrainment in a convective boundary layer (CBL) and to synthesize this new knowledge in the form of closure equations for bulk models. It is well-known that wind shear generally enhances entrainment, which thickens the entrainment zone and increases the growth rate of the CBL. Although previous work has identified major sensitivities of entrainment, and accordingly of sheared CBL properties, to changes in environmental conditions, the characterization of the shear enhancement of entrainment and of its dependence on environmental conditions remains elusive. In particular, scaling laws for different properties of sheared CBLs as functions of the surface and free-atmosphere conditions are lacking. Given that local scales within the entrainment zone become more relevant in sheared CBLs than in shear-free CBLs, one potential reason for the lack of a characterization of wind-shear effects on CBLs is the limitation of previous single-case studies in resolving the required small scales, which are of the order of tens of meters. We use direct numerical simulation and dimensional analysis, for the first time in the context of sheared CBLs, to reduce the uncertainty associated with small scales and to perform a systematic study. We scrutinize the vertical structure of the sheared CBL and show that wind-shear effects on the CBL structure remain constrained within the entrainment zone. We further show that the entrainment zone in sheared CBLs, consistent with shear-free CBLs, is better described as a composition of two sublayers. However, contrary to shear-free CBLs in which only the upper entrainment-zone sublayer is characterized by a local length scale, we demonstrate that both lower and upper entrainment-zone sublayers in sheared CBLs are characterized by local length scales. We perform an integral analysis of the turbulence kinetic energy budget and find an independent variable that fully embeds the dependence of sheared CBL properties on environmental conditions. The reduction in the number of independent variables to one enables us to provide the scaling laws for different CBL properties, such as different definitions of the CBL height and the entrainment-flux ratio, as functions of environmental conditions. These scaling laws allow us to tackle a major long-standing limitation of previous bulk models, which is the singularity at a finite wind strength, and to propose non-singular bulk models of sheared CBLs. We argue that zero-order bulk models, despite their simplicity compared to higher-order models, can accurately predict bulk properties of sheared CBLs when the relevant features of the actual entrainment zone are considered in the entrainment closures.
Effect of Brand Image, the Quality and Price on Customer Satisfaction and Implications for Customer Loyalty PT Strait Liner Express in Jakarta

The purpose of this study was to determine the effect of brand image, service quality and price both partially and simultaneously to the customer satisfaction and the impact of customer satisfaction on customer loyalty. Using quantitative research methods, with a sample of 171 respondents. Data were analyzed using Structural Equation Modeling (SEM). The results of the analysis showed that the partial towards customer satisfaction, the brand image variable has a positive and significant impact with a coefficient of 0.773. Variable quality of service has a positive and significant impact with a coefficient of 0.720, the price variable price has a positive and significant impact with a coefficient of 0.683. In partial variable customer satisfaction with loyalty has a positive and significant impact with a coefficient of 0.602. The results of the analysis showed that simultaneous independent variables to customer satisfaction positively and significantly with a coefficient of 0.720. The results of the analysis showed that the partial loyalty, brand image variable has a positive and significant impact with a coefficient of 0.672. Variable quality of service has a positive and significant impact with a coefficient of 0.739, the price variable price has a positive and significant impact with a coefficient of 0.739. The results of the analysis showed that simultaneous independent variables loyalty, positive and significant impact with a coefficient of 0.734.
Machinery vibration signal denoising based on learned dictionary and sparse representation

Mechanical vibration signal denoising has been an import problem for machine damage assessment and health monitoring. Wavelet transfer and sparse reconstruction are the powerful and practical methods. However, those methods are based on the fixed basis functions or atoms. In this paper, a novel method is presented. The atoms used to represent signals are learned from the raw signal. And in order to satisfy the requirements of real-time signal processing, an online dictionary learning algorithm is adopted. Orthogonal matching pursuit is applied to extract the most pursuit column in the dictionary. At last, denoised signal is calculated with the sparse vector and learned dictionary. A simulation signal and real bearing fault signal are utilized to evaluate the improved performance of the proposed method through the comparison with kinds of denoising algorithms. Then Its computing efficiency is demonstrated by an illustrative runtime example. The results show that the proposed method outperforms current algorithms with efficiency calculation.
Column generation with a resource constrained shortest path algorithm applied to train crew scheduling

This thesis deals with a large real world application of the crew scheduling problem. We formulate this problem as a set covering problem with additional constraints. The columns of the formulation correspond to shifts that are in accordance with the labour rules. The crew scheduling problem is proven to be NP-complete, and complete enumeration of all shifts is computationally intractable for most real-life applications. Column generation techniques are often used in literature to solve (integer) linear programs that are too large to consider all variables explicitly. In this thesis, we investigate the applicability of column generation to crew scheduling. The restricted master problem is the LP relaxation of the original program. Promising columns are generated inside the pricing problem. The pricing problem is formulated as a resource constrained shortest path algorithm. Performance improvements are obtained if we solve the pricing problem over different parts of the network. The independent pricing subproblems can be solved in parallel. The column generation technique provides good quality solutions within reasonable computation time for problem instances with up to 1500 tasks.
Urban Teacher-Student Relationship Quality, Teacher Burnout, and Cultural Competence

Researchers across multiple disciplines suggest that teacher-student relationship quality (TSRQ) has a strong association with positive student outcomes across all domains of student functioning (McGrath & Van Bergen, 2015) and serves as a moderating factor in outcome measures for students of color (Murray, Waas, & Murray, 2008) and for those considered economically disadvantaged (Olsson, 2009). Despite the clear benefits of positive TSRQ, the literature is scarce regarding teacher specific factors that may impact TSRQ. This study is the first to explore TSRQ in relation to implicit teacher factors utilizing a mixed-methods approach. Through canonical correlation analysis, utilizing a sample of 135 urban K-12 educators, one significant root (Wilks’ λ = .63, F(22, 244) = 2.85,p < . 001) and one trending root (Wilks ’ λ = .87, F (10, 123) = 1.73, p = . 081) were identified, suggesting a statistically significant amount of the variance in TSRQ could be traced to one or more burnout and culturally competent factors. Further analysis found cultural awareness, culturally responsive classroom management, and levels of personal accomplishment to be the most highly correlated with TSRQ. Grounded theory qualitative inquiry was then used to provide context to the findings from Phase I. Seven participants were interviewed, and their responses helped to lay the groundwork for a framework of Teacher-Student relating that is multi-leveled, multi-dimensional, and cross-disciplinary. This framework, arising from both the interview data and the canonical correlation analysis highlights two primary dimensions at play in teacher-student relationships: the environment, which includes, but it not limited to, home, school, and political environments, and the teacher’s inner working
Tunable Substrate Integrated Waveguide Diplexer With High Isolation and Wide Stopband

A tunable multilayer diplexer using substrate integrated waveguide (SIW) technology is proposed in this letter. A multilayer design is chosen to easily control the electric and magnetic coupling through circular slots in order to achieve a wide-stopband response. The proposed diplexer works at two unique frequencies (centered at 10.5 and 13.5 GHz) with high isolation (>42dB) and a wide stopband (up to 21 GHz). A varactor diode is used in the proposed diplexer for tuning. The varactor diode is placed in the structure in such a way that both channels can be tuned independently without affecting one another. The results show the flexibility of the diplexer in achieving desired responses and its suitability for integration with any tunable component. Simulated and measured results obtained are in good agreement.
Implementation of efficient Image Enhancement Factor using Modified Decision Based Unsymmetric Trimmed Median Filter

In this paper, we are proposing an approach to minimize very high density salt and pepper noise through modified decision based unsymmetrical trimmed median filter. The proposed filter replaces the noisy pixel by trimmed median value when some of the elements with values 0’s and 255’s are presented in the selected window. If all the pixel values in the selected window are o’s and 255’s then the noisy pixels area replaced by mean value of the all the elements presented in the selected window. The proposed algorithm exhibits better image quality than the median filter, adaptive median filter, decision based algorithm, modified decision based algorithm, and progressive switched median filter. The proposed algorithm tested against different grayscale and color images giving better peak Signal-toNoise Ratio (PSNR) and Image Enhancement Factor (IEF) at different noise densities.
Designing energy-efficient fetch engines

This dissertation evaluates factors that affect the energy-efficiency of the fetch engine in a programmable uniprocessor. The central thesis is that branch prediction is one of the key factors affecting overall processor energy-efficiency. Cooling costs, extending battery life in mobile devices, and reducing utility costs for wall-powered systems, especially data centers are growing concerns. Therefore, better understanding the factors that affect overall processor energy-efficiency has become important for virtually all new processor designs. For a processor to be energy-efficient, power consumption and performance must be balanced. The fetch unit is key to the processor's execution efficiency because it predicts and fetches all the instructions sent to the execution units. When fetching is stalled, or following an incorrectly predicted path, the rest of the processor is unable to perform useful work (and continues to consume energy). Many different fetch engine designs have been proposed in the research community and understanding how the fetch organization affects the processor's overall energy-efficiency is essential. For example, previous research has shown that trace caches can yield significant improvement in instruction throughput, but it is unclear whether trace caches are more energy-efficient than traditional instruction caches. Similarly, branch predictors improve fetch bandwidth by increasing instruction-level parallelism (ILP), but their energy-efficiency has not previously been systematically evaluated. This dissertation systematically evaluates a large portion of the fetch engine design space for energy-efficiency, determines that branch prediction is one of the key factors affecting overall processor energy-efficiency, shows the challenges in making trace cache organizations energy-efficient, and develops an analytical methodology for evaluating branch predictor energy-efficiency. This analytical framework can help designers cull the design space much more quickly than simulation-based analysis techniques.
Flexible Serpentinelike Frequency Selective Surface for Conformal Applications With Stable Frequency Response

In this letter, a flexible stopband frequency selective surface (FSS) with serpentine stripe unit cell is presented. Compared with the FSS with straight stripe and zigzag stripe unit cell, the proposed FSS on planar thin polyimide (PI) substrate shows very small offset of resonant frequency with electromagnetic waves having incident angles from 0<inline-formula><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula> to 60<inline-formula><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula>, according to the simulation results. The stable transmission performance of flexible FSS with serpentine stripe unit cell on PI substrate is further demonstrated by the computational and experimental results. When the FSS with serpentine stripe unit cell is bent with bending angles from <inline-formula><tex-math notation="LaTeX">$ \pi /3$</tex-math></inline-formula> to <inline-formula><tex-math notation="LaTeX">$ \pi$</tex-math></inline-formula>, the offset of resonant frequency is negligible, whereas the resonant frequency of FSS with straight stripe and zigzag stripe unit cell shifts about 15.4% and 5.8% when bending angle is <inline-formula><tex-math notation="LaTeX">$ \pi$</tex-math></inline-formula>, respectively.
Investigation of the presence and impact of environmentally-adapted Escherichia coli in private well water in southeastern Ontario

The fecal contamination of drinking water causing acute gastrointestinal illness remains a threat to public health in Canada, including Ontario, particularly in rural regions reliant on private well water. To determine potability, water is assessed for the presence of fecal indicator bacteria (FIB) to indicate contamination with harmful fecal pathogens. Escherichia coli remains the most frequently employed FIB, given it is a natural inhabitant of the gastrointestinal tract (GIT) of warm-blooded animals. However, the use of E. coli as a FIB has been questioned in recent years with the identification of populations of environmentally-adapted E. coli capable of survival and growth outside of the GIT, including in water and soil. Environmentally-adapted E. coli do not represent a recent fecal contamination event and thus challenge the current dogma that the presence of E. coli in water always reflects recent contamination from a fecal source and the potential presence of fecal pathogens. This study hypothesizes that environmentally-adapted E. coli populations are present in private well water in southeastern Ontario. Environmentally-adapted populations were characterized by comparing the genetic signature and phylogenetic origin of E. coli isolates obtained directly from feces of a variety of hosts to that obtained from domestic private well water samples, both collected from southeastern Ontario. Quantitative polymerase chain reaction and accessory gene fingerprinting were employed to facilitate identifying genetic fingerprints unique to well water and, in combination with phylogroup analysis, this revealed the presence of environmentally-adapted E. coli populations in 66% of the 76 E. coli positive wells analyzed. All isolates sampled from 37% of E. coli positive wells were exclusively of environmentally-adapted populations. These findings show that environmentally-adapted E. coli are widespread in domestic private well water in southeastern Ontario. This is the first study to investigate and
Some sufficient conditions for certain class of meromorphic multivalent functions involving Cho-Kwon-Srivastava operator

Abstract Making use of a meromorphic analogue of the Cho-Kwon-Srivastava operator for normalized analytic functions, we introduce below a new class of meromorphic multivalent function in the punctured unit disk and obtain certain sufficient conditions for functions to belong to this class. Some consequences of the main result are also mentioned.
Absorbed Dose Assessment from Short-Lived Radionuclides of Radon (222Rn) Decay Chain in Lung Tissue: A Monte Carlo Study

Introduction: Internal exposure to radon gas progeny can lead to serious biologic damages to the lung tissue. The aim of this study was to evaluate the absorbed dose by lung tissue due to the exposure from short-lived radioactive products of radon (222Rn) decay using Monte Carlo simulation. Material and Methods: A lung equivalent phantom including 64 air sacs was simulated by MCNPX code. Then, the absorbed dose from short-lived radioactive products of radon decay chain including 218Po, 214Po, 214Pb and 214Bi was calculated for both suspended and deposited states of daughter nuclides inside the lung. Results: The results showed that alpha decay has more contribution to the lung absorbed dose in comparison with the beta and gamma decay. Furthermore, the received dose by the lung was higher when the radon progenies were deposited inside the lung so that the maximum received dose to lung was 100 times higher than that of calculated in suspended state. Conclusion: Short-lived daughter radionuclides of radon decay chain, especially alpha emitter products, can be considered as dangerous internal radiation sources. The biological effects of these daughter radionuclides is more severe when are suspended inside the respiratory system.
“WHERE DO WE GO FROM HERE?” THE INFLUENCE OF PERSONALITY AND SOCIAL MOTIVATORS ON ATTITUDES TOWARD STRUCTURAL VIOLENCE AND INTERPERSONAL FORGIVENESS

This Dissertation is brought to you for free and open access by the School of Conflict Management, Peacebuilding and Development at DigitalCommons@Kennesaw State University. It has been accepted for inclusion in Doctor of International Conflict Management Dissertations by an authorized administrator of DigitalCommons@Kennesaw State University. For more information, please contact digitalcommons@kennesaw.edu. Recommended Citation