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2014

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A Data Mining Approach To Radiation Hybrid Mapping, Raed Seetan Jan 2014

A Data Mining Approach To Radiation Hybrid Mapping, Raed Seetan

Computer Science

The task of mapping markers from Radiation Hybrid (RH) mapping experiments is typically viewed as equivalent to the traveling-salesman problem, which has combinatorial complexity. As an additional problem, experiments commonly result in some unreliable markers that reduce the overall map quality. Due to the large numbers of markers in current radiation hybrid populations, the use of the data mining techniques becomes increasingly important for reducing both the computational complexity and the impact of noise of the original data. In this dissertation, a clustering-based approach is proposed for addressing both the problem of filtering unreliable markers (framework maps) and the problem …

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A Restful Architecture For Multiuser Virtual Environments And Simulations, Matti Kariluoma Jan 2014

A Restful Architecture For Multiuser Virtual Environments And Simulations, Matti Kariluoma

Computer Science

JavaMOO is an architecture for creating multiuser virtual environments using the MUD (Multi-User Dungeon) and MOO (MUD Object Oriented) design patterns (rooms and objects in the rooms, including \exit" objects that lead to other rooms). The MOO design pattern traces it roots back to the rst multiuser virtual environments in the early 1980s. The focus of this thesis is joining the MOO design pattern with a distributed architecture. A distributed architecture is pursued to reduce the per-server computational load, compared to a traditional single-server approach. The e ect of transferring computational load to the client software is also investigated, with …

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Implementation Of A Clonal Selection Algorithm, Srikanth Valluru Jan 2014

Implementation Of A Clonal Selection Algorithm, Srikanth Valluru

Computer Science

Some of the best optimization solutions were inspired by nature. Clonal selection algorithm is a technique that was inspired from genetic behavior of the immune system, and is widely implemented in the scientific and engineering fields. The clonal selection algorithm is a population-based search algorithm describing the immune response to antibodies by generating more cells that identify these antibodies, increasing its affinity when subjected to some internal process. In this paper, we have implemented the artificial immune network using the clonal selection principle within the optimal lab system. The basic working of the algorithm is to consider the individuals of …

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Improved Genetic Programming Techniques For Data Classification, Naila Shikri Al-Madi Jan 2014

Improved Genetic Programming Techniques For Data Classification, Naila Shikri Al-Madi

Computer Science

Evolutionary algorithms are one category of optimization techniques that are inspired by processes of biological evolution. Evolutionary computation is applied to many domains and one of the most important is data mining. Data mining is a relatively broad field that deals with the automatic knowledge discovery from databases and it is one of the most developed fields in the area of artificial intelligence. Classification is a data mining method that assigns items in a collection to target classes with the goal to accurately predict the target class for each item in the data. Genetic programming (GP) is one of the …

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Metrics And Tools To Guide Design Of Graphical User Interfaces, Khalid Ali Alemerien Jan 2014

Metrics And Tools To Guide Design Of Graphical User Interfaces, Khalid Ali Alemerien

Computer Science

User interface design metrics assist developers evaluate interface designs in early phase before delivering the software to end users. This dissertation presents a metric-based tool called GUIEvaluator for evaluating the complexity of the user interface based on its structure. The metrics-model consists of five modified structural measures of interface complexity: Alignment, grouping, size, density, and balance. The results of GUIEvaluator are discussed in comparison with the subjective evaluations of interface layouts and the existing complexity metrics-models. To extend this metrics-model, the Screen-Layout Cohesion (SLC) metric has been proposed. This metric is used to evaluate the usability of user interfaces. The …

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A New Coupling Metric: Combining Structural And Semantic Relationships, Mamdouh Khalaf Alenezi Jan 2014

A New Coupling Metric: Combining Structural And Semantic Relationships, Mamdouh Khalaf Alenezi

Computer Science

Maintaining object-oriented software is problematic and expensive. Earlier research has revealed that complex relationships among object-oriented software entities are key reasons that make maintenance costly. Therefore, measuring the strength of these relationships has become a requirement to develop proficient techniques for software maintenance. Coupling, a measure of the interdependence among software entities, is an important property for which many software metrics have been defined. It is widely agreed that the level of coupling in a software product has consequences for its maintenance. In order to understand which aspects of coupling affect quality or other external attributes of software, this dissertation …

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Petri Net Model For Smart Grid System, Anand Swaroop Pandey Jan 2014

Petri Net Model For Smart Grid System, Anand Swaroop Pandey

Computer Science

The concept of a smart grid is to provide self-healing, reliable, economic, and environment friendly energy-saving, sustainable electricity services to the users including the freedom to choose and set priorities according to the requirement and budget. This paper proposes a Petri Net model which can be used for such smart-grid systems. It provides the concept of an alternate power supply in the situation of a blackout due to any possible reasons, maintaining the reliability and healing nature of the smart grid. The model is developed with the help of the Renew 2.4 tool. Java functions are used to control the …

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Implementation Of A Medical Decision Making Tool, Sudheer Gadiparthi Jan 2014

Implementation Of A Medical Decision Making Tool, Sudheer Gadiparthi

Computer Science

Nowadays timely medical assistance is necessary for physicians/medical practitioners for decision making. Sometimes it is necessary for physicians to make decisions to diagnose the disease of a patient promptly. ‘Implementation of a Medical Decision Making Tool’, is a software tool was developed by implementing and incorporating efficient data mining techniques. In this project, with the help of WEKA software, which is a collection of classification algorithms for data analysis and feature selection, the decision making tool was implemented for the data preprocessing and classification on collected data sets of patients. Dataset for three kinds of diseases, heart disease, dermatology, and …

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Historical Analysis And Estimation Tool For Energy Trading, Sharath Chandra Sambaraju Jan 2014

Historical Analysis And Estimation Tool For Energy Trading, Sharath Chandra Sambaraju

Computer Science

Many forms of commodities are traded in today’s financial world, the most commonly used commodity, ‘Electricity’, is no exception. Electricity is mostly traded on a day to day basis, where the buyers and suppliers agree on a fixed price for electricity to be generated and dispatched. These allow the markets to adjust themselves to efficient pricing based on the simple supply and demand principle. The objective of this paper is to understand the day ahead market data and collecting historical market data and storing in to a RDBMS database, and design and program a windows-based application using C# programming language, …

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Power Consumption For Ios, Yannick Mingashanga Kwete Jan 2014

Power Consumption For Ios, Yannick Mingashanga Kwete

Computer Science

The shift from traditional software development for personal computers to mobile applications on iOS comes with new challenges and considerations. Software development teams similar to my work group built expertise in delivering quality products for the Mac OS platform. Although the core development and testing processes largely remain the same on iOS devices (iPhones and iPads), a major concern is around an application’s power consumption. The engineering challenge is to build innovative applications that do not drain the battery too quickly. Power consumption testing on iOS is an important area to validate and optimize to deliver quality applications to mobile …

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Naïve Bayes Classifier: A Mapreduce Approach, Songtao Zheng Jan 2014

Naïve Bayes Classifier: A Mapreduce Approach, Songtao Zheng

Computer Science

Machine learning algorithms have the advantage of making use of the powerful Hadoop distributed computing platform and the MapReduce programming model to process data in parallel. Many machine learning algorithms have been investigated to be transformed to the MapReduce paradigm in order to make use of the Hadoop Distributed File System (HDFS). Naïve Bayes classifier is one of the supervised learning classification algorithm that can be programmed in form of MapReduce. In our study, we build a Naïve Bayes MapReduce model and evaluate the classifier on five datasets based on the prediction accuracy. Also, a scalability analysis is conducted to …

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Evaluation Of A New Bio-Inspired Algorithm: Krill Herd, Devi Madamanchi Jan 2014

Evaluation Of A New Bio-Inspired Algorithm: Krill Herd, Devi Madamanchi

Computer Science

Number of nature inspired algorithms is proposed to solve complex optimization problems. The Krill Herd algorithm is one such biologically-inspired algorithm, proposed to solve optimization problems in response to biological and environmental processes. It is mainly based on the simulation technique of the herding behavior of the krill swarms. The objective function is defined as the combination of minimum distance of the krill individual from food and from the highest density of the swarm. The position of the krill individual is mainly influenced by three important factors, (i) movement induced by other krill individuals, (ii) foraging activity, and (iii) random …

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An Artificial Immune System Heuristic In A Smart Electrical Grid, Md. Minhaz Chowdhury Jan 2014

An Artificial Immune System Heuristic In A Smart Electrical Grid, Md. Minhaz Chowdhury

Computer Science

The immune system of the human body follows a process that is adaptive and learns via experience. Some algorithms are designed to take advantage of this process to determine solutions for complex problem domains. The collection of these algorithms is known as Artificial Immune Systems. Among this collection, one important algorithm is "The Danger Theory." In this thesis, an application of the algorithm has been implemented to solve an electrical grid problem. This problem of interest is the automatic detection of faulty and failure conditions in the electrical grid. A novel application of the Artificial Immune System algorithm is presented …

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Protein-Function Prediction Using A Graph-Matching Algorithm, Sarjan Shrestha Jan 2014

Protein-Function Prediction Using A Graph-Matching Algorithm, Sarjan Shrestha

Computer Science

Proteins are the basic building blocks for biological life. Proteins interact with other proteins or molecules to carry out various functions. The active region in the protein molecule is the functional site. Today, most research work has been done to establish sequence-based, structure-based, and machine-learning approaches for prediction of protein’s functional site. This paper describes a tool for identifying the functional site of protein using a graph-based approach. Each protein structure is represented as a graph. Each protein residue represents a vertex, and the relationship between residues represents the edges of the graph. The tool compares proteins to identify the …

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Manual Choice Reaction Times In The Rate-Domain., Cm Harris, J Waddington, V Biscione, S Manzi Jan 2014

Manual Choice Reaction Times In The Rate-Domain., Cm Harris, J Waddington, V Biscione, S Manzi

School of Psychology

Over the last 150 years, human manual reaction times (RTs) have been recorded countless times. Yet, our understanding of them remains remarkably poor. RTs are highly variable with positively skewed frequency distributions, often modeled as an inverse Gaussian distribution reflecting a stochastic rise to threshold (diffusion process). However, latency distributions of saccades are very close to the reciprocal Normal, suggesting that "rate" (reciprocal RT) may be the more fundamental variable. We explored whether this phenomenon extends to choice manual RTs. We recorded two-alternative choice RTs from 24 subjects, each with 4 blocks of 200 trials with two task difficulties (easy …

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The Sluggs Survey: New Evidence For A Tidal Interaction Between The Early Type Galaxies Ngc 4365 And Ngc 4342, C. Blom, D. Forbes, C. Foster, Aaron Romanowsky, J. Brodie Jan 2014

The Sluggs Survey: New Evidence For A Tidal Interaction Between The Early Type Galaxies Ngc 4365 And Ngc 4342, C. Blom, D. Forbes, C. Foster, Aaron Romanowsky, J. Brodie

Faculty Research, Scholarly, and Creative Activity

We present new imaging and spectral data for globular clusters (GCs) around NGC 4365 and NGC 4342. NGC 4342 is a compact, X-ray luminous S0 galaxy with an unusually massive central black hole. NGC 4365 is another atypical galaxy that dominates the W' group of which NGC 4342 is a member. Using imaging from the MegaCam instrument on the Canada-France-Hawaii Telescope (CFHT) we identify a stream of GCs between the two galaxies and extending beyond NGC 4342. The stream of GCs is spatially coincident with a stream/plume of stars previously identified. We find that the photometric colours of the stream …

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Ultra Compact Dwarfs In The Core Of The Perseus Cluster: Ucd Formation Via Tidal Stripping, S. Penny, D. Forbes, J. Strader, C. Usher, J. Brodie, Aaron Romanowsky Jan 2014

Ultra Compact Dwarfs In The Core Of The Perseus Cluster: Ucd Formation Via Tidal Stripping, S. Penny, D. Forbes, J. Strader, C. Usher, J. Brodie, Aaron Romanowsky

Faculty Research, Scholarly, and Creative Activity

We present the results of a Keck/DEIMOS survey of Ultra Compact Dwarfs (UCDs) in the Perseus Cluster core. We confirm cluster membership for 14 UCDs, with radial velocities ~5300 km s−1. Two of these confirmed Perseus UCDs have extremely blue colours (B−R<0.6 mag), reside in star forming filaments surrounding NGC 1275, and have likely formed as massive star clusters in the last ~100 Myr. We also measure a central velocity dispersion of a third, UCD13 (σ0=38±8 km s−1), the most extended UCD in our sample. We determine it to have radius Re=85±1.1 pc, a dynamical mass of (2.3±0.8)×108 M⊙, and a metallicity [Z/H]=−0.52+0.33−0.29 dex. UCD13 and the cluster's central galaxy, NGC 1275, have a projected separation of 30 kpc and a radial velocity difference of ~20 km s−1. Based on its size, red colour, internal velocity dispersion, dynamical mass, metallicity and proximity to NGC 1275, we argue that UCD13 is likely the remnant nucleus of a tidally stripped dE, with this progenitor dE having MB≈−16 mag and mass ∼109 M⊙.

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A Proto-Architecture For Innate Directionally Selective Visual Maps., Sv Adams, Cm Harris Jan 2014

A Proto-Architecture For Innate Directionally Selective Visual Maps., Sv Adams, Cm Harris

School of Psychology

Self-organizing artificial neural networks are a popular tool for studying visual system development, in particular the cortical feature maps present in real systems that represent properties such as ocular dominance (OD), orientation-selectivity (OR) and direction selectivity (DS). They are also potentially useful in artificial systems, for example robotics, where the ability to extract and learn features from the environment in an unsupervised way is important. In this computational study we explore a DS map that is already latent in a simple artificial network. This latent selectivity arises purely from the cortical architecture without any explicit coding for DS and prior …

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Utterance-Final Lengthening Is Predictive Of Infants' Discrimination Of English Accents, Laurence White, Caroline Floccia, Jeremy Goslin, Joseph Butler Jan 2014

Utterance-Final Lengthening Is Predictive Of Infants' Discrimination Of English Accents, Laurence White, Caroline Floccia, Jeremy Goslin, Joseph Butler

School of Psychology

No abstract provided.

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The Craving Experience Questionnaire: A Brief, Theory-Based Measure Of Consummatory Desire And Craving, Jon May, Jackie Andrade, David J. Kavanagh, Gerald F.X. Feeney, Mathew J. Gullo, Dixie J. Statham, Jessica Skorka-Brown, Jennifer M. Connolly, Mandy Cassimatis, Ross Mcd Young, Jason P. Connor Jan 2014

The Craving Experience Questionnaire: A Brief, Theory-Based Measure Of Consummatory Desire And Craving, Jon May, Jackie Andrade, David J. Kavanagh, Gerald F.X. Feeney, Mathew J. Gullo, Dixie J. Statham, Jessica Skorka-Brown, Jennifer M. Connolly, Mandy Cassimatis, Ross Mcd Young, Jason P. Connor

School of Psychology

Aims: Research into craving is hampered by lack of theoretical specification and a plethora of substance-specific measures. This study aimed to develop a generic measure of craving based on Elaborated Intrusion (EI) Theory. Confirmatory Factor Analysis (CFA) examined whether a generic measure replicated the 3-factor structure of the Alcohol Craving Experience (ACE) scale over different consummatory targets and timeframes. Design: Twelve studies were pooled for CFA. Targets included alcohol, cigarettes, chocolate and food. Focal periods varied from the present moment to the previous week. Separate analyses were conducted for Strength and Frequency forms. Setting: Nine studies included university students, with …

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