Change Vulnerability Forecasting For Southeast Asiausing Deep Learning Algorithm,
2018
Kulliyyah of Information and Communication Technology, Malaysia
Change Vulnerability Forecasting For Southeast Asiausing Deep Learning Algorithm, Amelia Ritahani Ismail, Nur 'Atikah Binti Mohd Ali, Junaida Sulaiman
Knowledge Engineering and Data Science
Climate change is expected to change people’s livelihood in significant ways. Several vulnerability factors and readiness factors used for measuring the prediction index of that particular country on how vulnerable of a country towards global change. Primary data was collected from University of Notre Dame Global Adaptation Index (NDGAIN). The data has been trained for the forecasting purpose with support from the validated statistical analysis. The summary of the predicted index is visualized using machine learning tools. The results developed the correlation between vulnerability and readiness factors and shows the stability of the country towards climate change. The framework is …
Relationships Between Social Network Characteristics, Alcohol Use, And Alcohol-Related Consequences In A Large Network Of First-Year College Students: How Do Peer Drinking Norms Fit In?,
2018
University of Southern California
Relationships Between Social Network Characteristics, Alcohol Use, And Alcohol-Related Consequences In A Large Network Of First-Year College Students: How Do Peer Drinking Norms Fit In?, Graham T. Diguiseppi, Matthew K. Meisel, Sara G. Balestrieri, Miles Q. Ott, Melissa A. Clark, Nancy P. Barnett
Statistical and Data Sciences: Faculty Publications
A burgeoning area of research is using social network analysis to investigate college students' substance use behaviors. However, little research has incorporated students' perceived peer drinking norms into these analyses. The present study investigated the association between social network characteristics, alcohol use, and alcohol-related consequences among first-year college students (N 1,342; 81% of the first-year class) at one university. The moderating role of descriptive norms was also examined. Network characteristics and descriptive norms were derived from participants' nominations of up to 10 other students who were important to them; individual network characteristics included popularity (indegree), network expansiveness (outdegree), relationship reciprocity, …
On The Exactitude Of Big Data: La Bêtise And Artificial Intelligence,
2018
Technological University Dublin
On The Exactitude Of Big Data: La Bêtise And Artificial Intelligence, Noel Fitzpatrick, John D. Kelleher
Articles
This article revisits the question of ‘la bêtise’ or stupidity in the era of Artificial Intelligence driven by Big Data, it extends on the questions posed by Gille Deleuze and more recently by Bernard Stiegler. However, the framework for revisiting the question of la bêtise will be through the lens of contemporary computer science, in particular the development of data science as a mode of analysis, sometimes, misinterpreted as a mode of intelligence. In particular, this article will argue that with the advent of forms of hype (sometimes referred to as the hype cycle) in relation to big data and …
Effects Of A Community Population Health Initiative On Blood Pressure Control In Latinos,
2018
University of Texas Health Science Center at Houston, School of Health Information Sciences, Houston TX, USA
Effects Of A Community Population Health Initiative On Blood Pressure Control In Latinos, James R Langabeer, Timothy D Henry, Carlos Perez Aldana, Larissa Deluna, Nora Silva, Tiffany Champagne-Langabeer
Faculty, Staff and Student Publications
Background Hypertension remains one of the most important, modifiable cardiovascular risk factors. Yet, the largest minority ethnic group (Hispanics/Latinos) often have different health outcomes and behavior, making hypertension management more difficult. We explored the effects of an American Heart Association-sponsored population health intervention aimed at modifying behavior of Latinos living in Texas. Methods and Results We enrolled 8071 patients, and 5714 (65.7%) completed the 90-day program (58.5 years ±11.7; 59% female) from July 2016 to June 2018. Navigators identified patients with risk factors; initial and final blood pressure ( BP ) readings were performed in the physician's office; and interim …
Non-Manual Articulators In Irish Sign Language Verbs: An Analysis With Data Mining Association Rules,
2018
Technological University Dublin
Non-Manual Articulators In Irish Sign Language Verbs: An Analysis With Data Mining Association Rules, Robert G. Smith, Markus Hofmann
Conference Papers
The Signs of Ireland (SOI) corpus (Leeson et al., 2006) deploys a complex multi-tiered temporal data structure. The process of manually analyzing such data is laborious, cannot eliminate bias and often, important patterns can go completely unnoticed. In addition to this, as a result of the complex nature of grammatical structures contained in the corpus, identifying complex linguistic associations or patterns across tiers is simply too intricate a task for a human to carry out in an acceptable timeframe. This work explores the application of data mining techniques on a set of multi-tiered temporal data from the SOI corpus. Building …
Strategic Players For Identifying Optimal Social Network Intervention Subjects,
2018
Smith College
Strategic Players For Identifying Optimal Social Network Intervention Subjects, Miles Q. Ott, John M. Light, Melissa A. Clark, Nancy P. Barnett
Statistical and Data Sciences: Faculty Publications
We present a method whereby social network ties are used to identify behavioral leaders who are situated in the network such that these individuals are: 1) able to influence other individuals who are in need of and most receptive to intervention, thereby optimizing the impact of the intervention; and 2) not embedded with ties to individuals that are likely to be behaviorally antagonistic to the intervention or that would compromise the optimal impact of intervention. In this study we developed a method that we call Strategic Players, which is a solution for identifying a set of players who are close …
Potential For Participatory Big Data Ethics And Algorithm Design: A Scoping Mapping Review,
2018
Purdue University
Potential For Participatory Big Data Ethics And Algorithm Design: A Scoping Mapping Review, Madisson Whitman, Chien-Yi Hsiang, Kendall Roark
Libraries Faculty and Staff Scholarship and Research
Ubiquitous networked data collection and algorithm-based information systems have the potential to disparately impact lives around the planet and pose a host of emerging ethical challenges. One response has been a call for more transparency and democratic control over the design and implementation of such systems. This scoping mapping review focuses on participatory approaches to the design, governance, and future of these systems across a wide variety of contexts and domains.
Network Traffic Time Series Performance Analysisusing Statistical Methods,
2018
Universitas Muslim Indonesia, Indonesia
Network Traffic Time Series Performance Analysisusing Statistical Methods, Purnawansyah Purnawansyah, Haviluddin Haviluddin, Rayner Alfred, Achmad Fanany Onnlita Gaffar
Knowledge Engineering and Data Science
This paper presents an approach for a network traffic characterization by using statistical techniques. These techniques are obtained using the decomposition, winter’s exponential smoothing and autoregressive integrated moving average (ARIMA). In this paper, decomposition and winter’s exponential smoothing techniques were used additive and multiplicative model. Then, ARIMA based-on Box-Jenkins methodology. The results of ARIMA (1,0,2) was shown the best model that can be used to the internet network traffic forecasting
Decision Support System Determination Of Main Work Unitin Wpp-711 Using Fuzzy Topsis,
2018
Universitas Islam Madura, Indonesia
Decision Support System Determination Of Main Work Unitin Wpp-711 Using Fuzzy Topsis, Hozairi Hozairi, Yaser Krisnafi
Knowledge Engineering and Data Science
Decision-making to determine the working units for being prioritized to be developed in order to improve fishery monitoring in WPP-711 is imperative. The Ministry of Maritime Affairs and Fisheries should make no mismatch decision-making through long-term calculation and analysis. The problem of determining the priority of working units is a complex problem, thus it is required to find an appropriate method to avoid a mismatch decision. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a decision-making method capable of solving multi-criteria problems. TOPSIS working principle determines the alternative by considering the shortest distance from the positive …
Market Basket Analysis To Identify Customer Behaviorsby Way Of Transaction Data,
2018
Maulana Malik Ibrahim State Islamic University, Indonesia
Market Basket Analysis To Identify Customer Behaviorsby Way Of Transaction Data, Fachrul Kurniawan, Binti Umayah, Jihad Hammad, Supeno Mardi Susiki Nugroho, Mochammad Hariadi
Knowledge Engineering and Data Science
Transaction data is a set of recording data result in connections with sales-purchase activities at a particular company. In these recent years, transaction data have been prevalently used as research objects in means of discovering new information. One of the possible attempts is to design an application that can be used to analyze the existing transaction data. That application has the quality of market basket analysis. In addition, the application is designed to be desktop-based whose components are able to process as well as re-log the existing transaction data. The used method in designing this application is by way of …
Capital Letter Pattern Recognition In Text To Speechby Way Of Perceptron Algorithm,
2018
AMIK Multi Data Palembang, Indonesia
Capital Letter Pattern Recognition In Text To Speechby Way Of Perceptron Algorithm, Novan Wijaya
Knowledge Engineering and Data Science
Computer vision is a data transformation retrieved or generated from webcam into another form in means of determining decision. All kinds of transformations are carried through to attain specific aims. One of the supporting techniques in implementing computer vision on a system is digital image processing as the objective of digital image processing is to transform digital-formatted picture so that it can be processed in computer. Computer vision and digital image processing can be implemented in a system of capital letter introduction and real-time handwriting reading on a whiteboard supported by artificial neural network mode “perceptron algorithm” used as a …
Sql Logic Error Detection Using Start End Mid Algorithm,
2018
State University of Malang, Indonesia
Sql Logic Error Detection Using Start End Mid Algorithm, Jevri Tri Ardiansyah, Aji Prasetya Wibawa, Triyanna Widiyaningtyas, Okazaki Yasuhisa
Knowledge Engineering and Data Science
Database is an important part of a system and it stores data to be manipulated. SQL (Structured Query Language) is used for manipulating those data to extract information and make decision. There are two types of error which make SQL is challenging to learn, namely syntax error and logic error. Compiler can detect syntax error, but it does not show error warning while logical error occurred. It makes logic error more difficult to understand than syntax error. A web based SQL compiler with errors detection ability by using Start End Mid algorithm is then developed, To help database's user to …
Earth Satellite Data Analysis,
2018
University of Arkansas Little Rock
Earth Satellite Data Analysis, Venkat Kodali
Theses and Dissertations
The number of satellites has been steadily increasing since the first satellite launched to orbit in 1957. Satellites are launched for various purpose and users of the satellites are now spread across the world. The dependency on satellites has increased greatly over time and they now have a major impact on everyday life. The project I will discuss is focused on data analysis of earth satellites. The datasets used for analysis are from several sources, the data was cleaned and used to find some meaningful insights. The objective is develop data visualization charts and modeling techniques using R, identify trends …
Photovoltaic System Optimization For An Austere Location Using Time Series Data,
2018
Air Force Institute of Technology
Photovoltaic System Optimization For An Austere Location Using Time Series Data, Torrey J. Wagner, Eric Lang, Warren Assink, Douglas S. Dudis
Faculty Publications
In this work we test experimental photovoltaic, storage and generator technologies and investigate their potential to meet austere location energy needs. After defining the energy requirements and insolation of a 1,100-person base, we develop a microgrid model and simulation. Cost optimizations were then performed using hourly time-series data to explore the cost and performance trade-space of a PV-battery-generator system. The work highlights the cost of resiliency and the dependencies of optimum system component sizes on duration and the fully burdened cost of fuel.
An Algorithm For Calculating Top-Dimensional Bounding Chains,
2018
Royal Institute of Technology
An Algorithm For Calculating Top-Dimensional Bounding Chains, J. Frederico Carvalho, Mikael Vejdemo-Johansson, Danica Kragic, Florian T. Pokorny
Publications and Research
We describe the Coefficient-Flow algorithm for calculating the bounding chain of an (n-1)-boundary on an n-manifold-like simplicial complex S. We prove its correctness and show that it has a computational time complexity of O(|S(n−1)|) (where S(n−1) is the set of (n-1)-faces of S). We estimate the big-O coefficient which depends on the dimension of S and the implementation. We present an implementation, experimentally evaluate the complexity of our algorithm, and compare its performance with that of solving the underlying linear system.
Deep Learning For Multisensor Image Resolution Enhancement,
2018
University of Alabama in Huntsville
Deep Learning For Multisensor Image Resolution Enhancement, Charles B. Collins, John M. Beck, Susan M. Bridges, John A. Rushing
Research Horizons Day Posters
No abstract provided.
Multi-Point Vibration Measurement And Mode Magnification Of Civil Structures Using Video-Based Motion Processing,
2018
University of Nebraska-Lincoln
Multi-Point Vibration Measurement And Mode Magnification Of Civil Structures Using Video-Based Motion Processing, Zhexiong Shang, Zhigang Shen
Department of Construction Engineering and Management: Faculty Publications
Image-based vibration measurement has gained increased attentions in civil and construction communities. A recent video-based motion magnification method was developed to measure and visualize small structure motions. This new approach presents a potential for low-cost vibration measurement and mode shape identification. Pilot studies using this approach on simple rigid body structures were reported. Its validity on complex outdoor structures has not been investigated. In this study, a non-contact video-based approach for multi-point vibration measurement and mode magnification is introduced. The proposed approach can output a full-field vibration map that increases the efficiency of the current structural health monitoring (SHM) practice. …
A Mathematical Analysis Of The Game Of Chess,
2018
Southeastern University - Lakeland
A Mathematical Analysis Of The Game Of Chess, John C. White
Selected Honors Theses
This paper analyzes chess through the lens of mathematics. Chess is a complex yet easy to understand game. Can mathematics be used to perfect a player’s skills? The work of Ernst Zermelo shows that one player should be able to force a win or force a draw. The work of Shannon and Hardy demonstrates the complexities of the game. Combinatorics, probability, and some chess puzzles are used to better understand the game. A computer program is used to test a hypothesis regarding chess strategy. Through the use of this program, we see that it is detrimental to be the first …
3rd Analytics Without Borders Conference Program,
2018
Bryant University
3rd Analytics Without Borders Conference Program, Bentley University
Analytics Without Borders
No abstract provided.
Exploring The Potential Of Data Physicalization For Stem Learning,
2018
Human-Data Interaction Group, Cork Institute of Technology Cork, Ireland
Exploring The Potential Of Data Physicalization For Stem Learning, Sarah Hayes
Conference Papers
This paper presents an overview of the research that I have conducted as part of my PhD studies. The aim of this research is to explore the potential of data physicalization to enhance and improve STEM learning. Specifically, this research is focused on exploring the ways in which physical data representations can be used to clarify dense scientific, technological, engineering or mathematical concepts, and support novel interactions to increase user engagement and learning. My aim is to achieve this through the design, deployment and evaluation of a series of data physicalizations representing STEM concepts and data sets.
