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2015

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Region Based Data Mining On Agriculture Data, Babitha Battu Jan 2015

Region Based Data Mining On Agriculture Data, Babitha Battu

Computer Science

Spatial Data Mining is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial databases. Most relationships in spatial datasets are regional and there is a great need for regional regression methods that derive regional reflects different spatial characteristics of different regions. A central challenge in spatial data mining is the efficiency of spatial data mining algorithms, due to the often huge amount of spatial data and the complexity of spatial data types and spatial accessing methods. This paper proposes a regional regression technique for regions that are defined by a categorical attribute, in particular …

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Implementation Of A Gis With Analytics For Pollution Data, Aakanksha Rastogi Jan 2015

Implementation Of A Gis With Analytics For Pollution Data, Aakanksha Rastogi

Computer Science

Particulate matter called pm2.5 refers to harmful microscopic liquid or solid matter of diameter 2.5 microns suspended in the air. To effectively analyze and visualize data for pollution category pm2.5, a Geographic Information System (GIS) was created. This application, named the Pollution Analysis System (PAS), was designed and implemented to help the user visualize the data in terms of graphs, charts and maps. The interactive visualizations are aimed to enhance data readability and give meaning to the raw data. Correlation techniques were implemented, including calculations of the Pearson correlation coefficient, the use of the t-distribution to test the validity of …

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Implementation And Evaluation Of Cma-Es Algorithm, Srikanth Reddy Gagganapalli Jan 2015

Implementation And Evaluation Of Cma-Es Algorithm, Srikanth Reddy Gagganapalli

Computer Science

Over recent years, Evolutionary Algorithms have emerged as a practical approach to solve hard optimization problems in the fields of Science and Technology. The inherent advantage of EA over other types of numerical optimization methods lies in the fact that they require very little or no prior knowledge regarding differentiability or continuity of the objective function. The inspiration to learn evolutionary processes and emulate them on computer comes from varied directions, the most pertinent of which is the field of optimization. In most applications of EAs, computational complexity is a prohibiting factor. This computational complexity is due to number of …

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Increasing Usability And Accessibility Of Gis Technology Through Extension Of Existing Software Tools, Elizabeth Joan Noel Jan 2015

Increasing Usability And Accessibility Of Gis Technology Through Extension Of Existing Software Tools, Elizabeth Joan Noel

Computer Science

As the popularity of Geographic Information System (GIS) technology increases and its use extends from specialized users to the general public, tools available to users must adapt to take these changes into account. Virtual globes, such as Google Earth, are simplified GIS tools which do not include any of the data analysis and visualization capabilities of traditional GIS. However, the use of these applications can be extended by shifting the GIS functionality out of the application and into KML, through the dynamic manipulation of KML objects, allowing for some of the functionality of GIS to be reintroduced. Because KML objects …

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Review Mining: Hierarchy Generation For Online Reviews, Prateek Rajan Jan 2015

Review Mining: Hierarchy Generation For Online Reviews, Prateek Rajan

Computer Science

In the present world of ecommerce more and more products are purchased and sold online then via any other medium. With such massive drive in online shopping more and more information is being added every day on web regarding the products and how good or bad are they. From the perspective of seller (such as Amazon) this information is very vital as this insight could be very helpful in making various decisions regarding inventory management, product pricing and so on. But the problem that arises in this context is the sheer volume of the reviews being added. In this paper …

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Usability Construct For Mobile Applications: A Clustering Based Approach, Pratap Kotala Jan 2015

Usability Construct For Mobile Applications: A Clustering Based Approach, Pratap Kotala

Computer Science

The growth of mobile applications that run on cell phones and other handheld devices has introduced a broad range of usability challenges that were not faced by the web and standalone PC environments. The current usability models for mobile applications are mostly based on the experience of the usability experts and users that were collected through surveys and field studies. Many usability researchers and practitioners have developed conceptual usability frameworks that utilize either different or overlapping usability attributes. Moreover, the usability frameworks in existence they are limited in scope and do not consider all the usability dimensions. There is no …

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Multi-Variate Attribute Selection For Agricultural Data, Xing John Xu Jan 2015

Multi-Variate Attribute Selection For Agricultural Data, Xing John Xu

Computer Science

Farmers always have been concerned about the quantity of crops (yield) as well as the quality of crops (sugar content of the sugar beets). The quality and quantity of crops are affected by various attributes, some are natural elements (rain, sunshine etc) and some are not (the amount of fertilizer, seed type etc). Some techniques have been developed to discover attributes that are important to different crops’ yield. But within those selected attributes, how can we tell one attribute is more important than the other? The proposed algorithm is aimed to utilize the advantages of multiple response attributes to select …

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Emergency Search Using Android App, Anisha Ginjala Jan 2015

Emergency Search Using Android App, Anisha Ginjala

Computer Science

Emergency can occur anywhere anytime. The nature of emergency is unpredictable and it can unveil itself in any form. Whenever disasters occur, people in the location need to have adequate information to minimize the human and financial losses. With the recent evolution of smart phones, such information can be made available to the people much sooner and more reachable. The ESA App strives to distribute information to diverse public around the world. The main goal of ESA App is to provide firsthand information from the people who have experienced or seen the disaster, provide emergency news links which are provided …

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Training Set Selection To Improve Crop Classification, Eric John Christeson Jan 2015

Training Set Selection To Improve Crop Classification, Eric John Christeson

Computer Science

In some classification problems, acquiring class label information is much more expensive than collecting attribute data. One such problem is crop classification from satellite imagery. While random sampling is one option, we demonstrate that a targeted training set selection can be beneficial, when the acquisition of class label information occurs in sets: In crop classification, the number of data points is given by the number of pixels in the imagery, while all data points within one field can be assumed to have the same class label. Each data point is constructed from multiple images throughout the growing season, and each …

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Fuzzy Reasoning Based Evolutionary Algorithms Applied To Data Mining, Min Chen Jan 2015

Fuzzy Reasoning Based Evolutionary Algorithms Applied To Data Mining, Min Chen

Computer Science

Data mining and information retrieval are two difficult tasks for various reasons. First, as the volume of data increases tremendously, most of the data are complex, large, imprecise, uncertain or incomplete. Furthermore, information retrieval may be imprecise or subjective. Therefore, comprehensible and understandable results are required by the users during the process of data mining or knowledge discovery. Fuzzy logic has become an active research area because its capability of handling perceptual uncertainties, such as ambiguity or vagueness, and its excellent ability on describing nonlinear system. The study of this dissertation is focused on two main paradigms. The first paradigm …

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Mining Significant Patterns By Integrating Biological Interaction Networks With Gene Profiles, Rami Mohammed Alroobi Jan 2015

Mining Significant Patterns By Integrating Biological Interaction Networks With Gene Profiles, Rami Mohammed Alroobi

Computer Science

Nowadays, large amounts of high-throughput data are available. Automatic with classical cell biology techniques which are employed in the analysis of cell functions, interactions, and how pathogens can exploit them in disease, are becoming available because of the huge advancements in both Genomics and Proteomics technologies. Analyzing and studying these vast amounts of data will enable researchers to uncover, clarify, and explain some aspects of gene products behavior and characteristics under a very diverse set of conditions. The biological data belong to different types. The integration of several types of data can help reduce the effect of problems each data …

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Optimization Of Deployments For Service Oriented Clouds, Chaitanya Dumpala Jan 2015

Optimization Of Deployments For Service Oriented Clouds, Chaitanya Dumpala

Computer Science

In cloud-computing environments, every service in an application is deployed as a different service instance. All service instances are deployed at a different level of end-to-end Quality of Service (QoS), which are described in the Service Level Agreement (SLA). To satisfy the given SLAs and end-to-end QoS requirements of an application, the application is required to optimize its deployment configuration of service instances. In this paper, a genetic algorithm is implemented, as proposed in literature, to solve this problem by searching for the optimal solution from a search space while satisfying the given SLA. The algorithm estimates the performance of …

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Enterprise Resource Planning Metamodel Test Pattern, Naveed Ahmed Syed Jan 2015

Enterprise Resource Planning Metamodel Test Pattern, Naveed Ahmed Syed

Computer Science

Enterprise Resource Planning (ERP) system is a complex distributed software solution that costs millions of dollars to implement. Upgrading an ERP metamodel subsystem introduces critical risks in the functionality of all the ERP applications that are part of an ERP system. It is therefore imperative to verify such critical updates to an ERP system thoroughly before they are released to manufacture. The situation is further exacerbated when the ERP system in context happens to be a legacy one without sufficient automated tests. In order to facilitate effective and efficient implementation of ERP metamodel tests, a verification pattern is presented here. …

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The Realization Of Visualization And Prediction Models, Yijun Wang Jan 2015

The Realization Of Visualization And Prediction Models, Yijun Wang

Computer Science

Visualization is a specific technique for building images, animations or diagrams to communicate a message [1]. Nowadays, it effective to communicate both abstract and concrete ideas for big data by visual imagery. Visualization examples from history include cave paintings, Egyptian hieroglyphs, Greek geometry, and Leonardo da Vinci's revolutionary methods of technical drawing for engineering and scientific purposes [2]. In the work of this paper, we are describe the development of a web-based online visualization system and introduce an existing prediction model called - Markov Chains, which may be applied to specific data sets. The development processes, design structure, and testing …

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Complex Experimental Federalism, Doni Gewirtzman Jan 2015

Complex Experimental Federalism, Doni Gewirtzman

Articles & Chapters

Federalism has long been celebrated as a structure for policy experimentation. Yet judges, scholars, and politicians have often treated experimentation as an automatic consequence of decentralization and policy devolution, instead of examining the down and dirty mechanics that drive systems to explore new solutions and generate a steady stream of useful policy innovations.

This Article addresses this gap in the literature by using complexity theory to better understand how experimental federalism works. It argues that federalism’s ability to produce meaningful policy experiments is heavily dependent on two dynamics — heterogeneity and interdependence — that are prominent in the research on …

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The Effectiveness Of Psychosocial Intervention For Individuals With Cleft Lip And/Or Palate., Alyson Norman, Martin Persson, Nicola Stock, Nichola Rumsey, Jonathan Sandy, Andrea Waylen, Zoe Edwards, Vanessa Hammond, Lucy Partridge, Andy Ness Jan 2015

The Effectiveness Of Psychosocial Intervention For Individuals With Cleft Lip And/Or Palate., Alyson Norman, Martin Persson, Nicola Stock, Nichola Rumsey, Jonathan Sandy, Andrea Waylen, Zoe Edwards, Vanessa Hammond, Lucy Partridge, Andy Ness

School of Psychology

OBJECTIVE: The aim of this review was to assess the effectiveness of different psychological interventions for children and adults with cleft lip and/or palate and their parents. DESIGN: We searched six databases including MEDLINE and EMBASE to June 2013 and checked bibliographies. We included research that evaluated any psychological intervention in studies in which at least 90% of the participants had cleft lip and/or palate or were parents of those with cleft lip and/or palate. Studies containing less than 90% were excluded unless they reported results separately for those with cleft lip and/or palate, or raw data were available upon …

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Non-Transferrin-Bound Iron Is Associated With Biomarkers Of Oxidative Stress, Inflammation And Endothelial Dysfunction In Type 2 Diabetes, Husam Aljwaid, Desley L. White, Keith J. Collard, A. John Moody, Jonathan H. Pinkney Jan 2015

Non-Transferrin-Bound Iron Is Associated With Biomarkers Of Oxidative Stress, Inflammation And Endothelial Dysfunction In Type 2 Diabetes, Husam Aljwaid, Desley L. White, Keith J. Collard, A. John Moody, Jonathan H. Pinkney

School of Health Professions

No abstract provided.

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Identifying Factors Which Enhance Capacity To Engage In Clinical Education Among Podiatry Practitioners: An Action Research Project, S Abey, S Lea, L Callaghan, D Cotton, S Shaw Jan 2015

Identifying Factors Which Enhance Capacity To Engage In Clinical Education Among Podiatry Practitioners: An Action Research Project, S Abey, S Lea, L Callaghan, D Cotton, S Shaw

School of Health Professions

No abstract provided.

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Combination Or Differentiation? Two Theories Of Processing Order In Classification, Andy J. Wills, Angus B. Inkster, Fraser Milton Jan 2015

Combination Or Differentiation? Two Theories Of Processing Order In Classification, Andy J. Wills, Angus B. Inkster, Fraser Milton

School of Psychology

No abstract provided.

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Refractory Depression: Mechanisms And Evaluation Of Radically Open Dialectical Behaviour Therapy (Ro-Dbt) [Reframed]: Protocol For Randomised Trial, T. R. Lynch, B. Whalley, R. J. Hempel, S. Byford, P Clarke, S Clarke, D. Kingdon, H. O'Mahen, I. T. Russell, J. Shearer, M. Stanton, M. Swales, A. Watkins, B. Remington Jan 2015

Refractory Depression: Mechanisms And Evaluation Of Radically Open Dialectical Behaviour Therapy (Ro-Dbt) [Reframed]: Protocol For Randomised Trial, T. R. Lynch, B. Whalley, R. J. Hempel, S. Byford, P Clarke, S Clarke, D. Kingdon, H. O'Mahen, I. T. Russell, J. Shearer, M. Stanton, M. Swales, A. Watkins, B. Remington

School of Psychology

IntroductionOnly 30–40% of depressed patients treated with medication achieve full remission. Studies that change medication or augment it by psychotherapy achieve only limited benefits, in part because current treatments are not designed for chronic and complex patients. Previous trials have excluded high-risk patients and those with comorbid personality disorder. Radically Open Dialectical Behaviour Therapy (RO-DBT) is a novel, transdiagnostic treatment for disorders of emotional over-control. The REFRAMED trial aims to evaluate the effectiveness and cost-effectiveness of RO-DBT for patients with treatment-resistant depression.Methods and analysisREFRAMED is a multicentre randomised controlled trial, comparing 7 months of individual and group RO-DBT treatment with …

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Call Me Alix, Not Elix: Vowels Are More Important Than Consonants In Own-Name Recognition At 5 Months., Camillia Bouchon, Caroline Floccia, Thibaut Fux, Martine Adda-Decker, Thierry Nazzi Jan 2015

Call Me Alix, Not Elix: Vowels Are More Important Than Consonants In Own-Name Recognition At 5 Months., Camillia Bouchon, Caroline Floccia, Thibaut Fux, Martine Adda-Decker, Thierry Nazzi

School of Psychology

Consonants and vowels differ acoustically and articulatorily, but also functionally: Consonants are more relevant for lexical processing, and vowels for prosodic/syntactic processing. These functional biases could be powerful bootstrapping mechanisms for learning language, but their developmental origin remains unclear. The relative importance of consonants and vowels at the onset of lexical acquisition was assessed in French-learning 5-month-olds by testing sensitivity to minimal phonetic changes in their own name. Infants' reactions to mispronunciations revealed sensitivity to vowel but not consonant changes. Vowels were also more salient (on duration and intensity) but less distinct (on spectrally based measures) than consonants. Lastly, vowel …

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State Trace Analysis: Dissociable Processes In A Connectionist Network?, Fayme Yeates, Andy J. Wills, Fergal W. Jones, Ian P.L. Mclaren Jan 2015

State Trace Analysis: Dissociable Processes In A Connectionist Network?, Fayme Yeates, Andy J. Wills, Fergal W. Jones, Ian P.L. Mclaren

School of Psychology

No abstract provided.

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Outcome Predictability Biases Learning., Oren Griffiths, Chris J. Mitchell, Anna Bethmont, Peter F. Lovibond Jan 2015

Outcome Predictability Biases Learning., Oren Griffiths, Chris J. Mitchell, Anna Bethmont, Peter F. Lovibond

School of Psychology

Much of contemporary associative learning research is focused on understanding how and when the associative history of cues affects later learning about those cues. Very little work has investigated the effects of the associative history of outcomes on human learning. Three experiments extended the "learned irrelevance" paradigm from the animal conditioning literature to examine the influence of an outcome's prior predictability on subsequent learning of relationships between cues and that outcome. All 3 experiments found evidence for the idea that learning is biased by the prior predictability of the outcome. Previously predictable outcomes were readily associated with novel predictive cues, …

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The Importance Of Internal Facial Features In Learning New Faces, Christopher A. Longmore, Chang Hong Liu, Andrew W. Young Jan 2015

The Importance Of Internal Facial Features In Learning New Faces, Christopher A. Longmore, Chang Hong Liu, Andrew W. Young

School of Psychology

For familiar faces, the internal features (eyes, nose, and mouth) are known to be differentially salient for recognition compared to external features such as hairstyle. Two experiments are reported that investigate how this internal feature advantage accrues as a face becomes familiar. In Experiment 1, we tested the contribution of internal and external features to the ability to generalize from a single studied photograph to different views of the same face. A recognition advantage for the internal features over the external features was found after a change of viewpoint, whereas there was no internal feature advantage when the same image …

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Treatment Of Progressive Multiple Sclerosis: What Works, What Does Not, And What Is Needed., Anthony Feinstein, Jenny Freeman, Albert C. Lo Jan 2015

Treatment Of Progressive Multiple Sclerosis: What Works, What Does Not, And What Is Needed., Anthony Feinstein, Jenny Freeman, Albert C. Lo

School of Health Professions

Disease-modifying drugs have mostly failed as treatments for progressive multiple sclerosis. Management of the disease therefore solely aims to minimise symptoms and, if possible, improve function. The degree to which this approach is based on empirical data derived from studies of progressive disease or whether treatment decisions are based on what is known about relapsing-remitting disease remains unclear. Symptoms rated as important by patients with multiple sclerosis include balance and mobility impairments, weakness, reduced cardiovascular fitness, ataxia, fatigue, bladder dysfunction, spasticity, pain, cognitive deficits, depression, and pseudobulbar affect; a comprehensive literature search shows a notable paucity of studies devoted solely …

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Imagining Circles: A Perceptual Model For The Arc-Size Illusion, G Schmidtmann, M Ouhnana, F Kingdom Jan 2015

Imagining Circles: A Perceptual Model For The Arc-Size Illusion, G Schmidtmann, M Ouhnana, F Kingdom

School of Health Professions

No abstract provided.

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A Neural Reward Prediction Error Revealed By A Meta-Analysis Of Erps Using Great Grand Averages., Thomas D. Sambrook, Jeremy Goslin Jan 2015

A Neural Reward Prediction Error Revealed By A Meta-Analysis Of Erps Using Great Grand Averages., Thomas D. Sambrook, Jeremy Goslin

School of Psychology

Economic approaches to decision making assume that people attach values to prospective goods and act to maximize their obtained value. Neuroeconomics strives to observe these values directly in the brain. A widely used valuation term in formal learning and decision-making models is the reward prediction error: the value of an outcome relative to its expected value. An influential theory (Holroyd & Coles, 2002) claims that an electrophysiological component, feedback related negativity (FRN), codes a reward prediction error in the human brain. Such a component should be sensitive to both the prior likelihood of reward and its magnitude on receipt. A …

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Nutritional Interventions In Sarcopenia: A Critical Review, Mary Hickson Jan 2015

Nutritional Interventions In Sarcopenia: A Critical Review, Mary Hickson

School of Health Professions

The aim of the present paper is to critically review the details of the published nutrition intervention trials, with and without exercise, targeting sarcopenia. Sarcopenia is the loss of muscle mass, strength and/or performance with age. Since amino acids and energy are required for muscle synthesis it is possible that nutritional intake influences sarcopenia. Nutritional studies are challenging to carry out because of the complexity of modulating dietary intake. It is very difficult to change one nutrient without influencing many others, which means that many of the published studies are problematic to interpret. The studies included evaluate whole protein, essential …

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Two Spatiotemporally Distinct Value Systems Shape Reward-Based Learning In The Human Brain, Elsa Fouragnan, Chris Retzler, Karen Mullinger, Marios G. Philiastides Jan 2015

Two Spatiotemporally Distinct Value Systems Shape Reward-Based Learning In The Human Brain, Elsa Fouragnan, Chris Retzler, Karen Mullinger, Marios G. Philiastides

School of Psychology

No abstract provided.

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Safety And Effectiveness Of A New Toric Presbyopia-Correcting Posterior Chamber Silicone Intraocular Lens., Jay S. Pepose, Jon Hayashida, John Hovanesian, James Davies, Phillips Kirk Labor, Jeffrey Whitman, Harvey Carter, Michael Colvard, Phillip J. Buckhurst, Omid Khodai, David Mittleman, Gregg Feinerman Jan 2015

Safety And Effectiveness Of A New Toric Presbyopia-Correcting Posterior Chamber Silicone Intraocular Lens., Jay S. Pepose, Jon Hayashida, John Hovanesian, James Davies, Phillips Kirk Labor, Jeffrey Whitman, Harvey Carter, Michael Colvard, Phillip J. Buckhurst, Omid Khodai, David Mittleman, Gregg Feinerman

School of Health Professions

PURPOSE: To evaluate the safety and effectiveness of the Trulign toric intraocular lens (IOL) in adults with cataract. SETTING: Eight private practices in the United States and 1 in Canada. DESIGN: Prospective randomized single-masked multicenter study. METHODS: A toric IOL (1.25 D, 2.00 D, or 2.75 D, determined by a toric calculator) was implanted in eligible patients with age-related cataract requiring a 16.00 to 27.00 diopter (D) spherical IOL power and with a predicted postoperative astigmatism of 0.83 to 2.50 D. Eyes within the lowest cylinder range (predicted postoperative astigmatism 0.83 to 1.32 D) were randomized in a 1:1 ratio …

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