Data Storage Systems Commons^™

Improving Search Ranking Using A Composite Scoring Approach, Larry D. Snedden

UNF Graduate Theses and Dissertations

In this thesis, the improvement to relevance in computerized search results is studied. Information search tools return ranked lists of documents ordered by the relevance of the documents to the user supplied search. Using a small number of words and phrases to represent complex ideas and concepts causes user search queries to be information sparse. This sparsity challenges search tools to locate relevant documents for users. A review of the challenges to information searches helps to identify the problems and offer suggestions in improving current information search tools. Using the suggestions put forth by the Strategic Workshop on Information Retrieval …

Open Scholarly Publishing Plugin, Barry Bailey

Sabbatical Projects

Presentation reflecting author's sabbatical project, which reviewed the need for and developed a plugin to allow institutions to convert WordPress into an institutional repository.

Quantifying Parkinson's Disease Symptoms Using Mobile Devices, Charles R. Aylward

Master's Theses

Current assessments for evaluating the progression of Parkinson’s Disease are largely qualitative and based on small sets of data obtained from occasional doctor-patient interactions. There is a clinical need to improve the techniques used for mitigating common Parkinson’s Disease symptoms. Available data sets for researching the disease are minimal, hindering advancement toward understanding the underlying causes and effectiveness of treatment and therapies. Mobile devices present an opportunity to continuously monitor Parkinson’s Disease patients and collect important information regarding the severity of symptoms. The evolution of digital technology has opened doors for clinical research to extend beyond the clinic by incorporating …

Unsupervised Feature Selection For Outlier Detection By Modelling Hierarchical Value-Feature Couplings, Guansong Pang, Longbing Cao, Ling Chen, Huan Liu

Research Collection School Of Computing and Information Systems

Proper feature selection for unsupervised outlier detection can improve detection performance but is very challenging due to complex feature interactions, the mixture of relevant features with noisy/redundant features in imbalanced data, and the unavailability of class labels. Little work has been done on this challenge. This paper proposes a novel Coupled Unsupervised Feature Selection framework (CUFS for short) to filter out noisy or redundant features for subsequent outlier detection in categorical data. CUFS quantifies the outlierness (or relevance) of features by learning and integrating both the feature value couplings and feature couplings. Such value-to-feature couplings capture intrinsic data characteristics and …

Jitim Volume 25 Issue 3 - Front Page

Journal of International Technology and Information Management

JITIM volume 25, issue 3

Fuzzy Expert Systems: A More Human-Based Approach For Sensorial Evaluation Of Coffee-Bean Attributes To Derive Quality Scoring, Javier A. Livio

Theses and Dissertations

In the coffee industry, "cupping" is the process of sensorial evaluations of coffee beans, also known as Sample Evaluation. This process is done for three major reasons: to determine the actual sensory differences between coffee samples, to describe the flavors of the samples, and to determine preference of product. In totality, cupping targets the measurement of the coffee's quality related to fragrance, taste, and appearance which are expressed with a final numerical score. When cupping, the expert judge writes down the individual components' scores (fragrance, aftertaste, acidity, body, etc.) and ranks their intensities for reference. Despite the fact the cuppers …

Learning And Practicing Data Analytics Using Sap In-Memory Computing, Hong G. Jung, Vincent L. Mitchell, Jihoon Park, Sam Chung

ASA Multidisciplinary Research Symposium

The analysis and organization of Big Data is becoming important in the business industry. Using and understanding ERP (Enterprise Resource Planning) software to interpret Big Data is essential to the evolution of Information System Technology. This research on SAP HANA and SAP Lumira allows us the opportunity to explore.

Can Flight Data Recorder Memory Be Stored On The Cloud?, Yair Wiseman

Journal of Aviation Technology and Engineering

Flight data recorders (FDRs, or black boxes) generate data that is collected on an embedded memory device. A well-known difficulty with these devices is that the embedded memory device runs out of space. To avoid getting into this problematic situation, the software of the FDR is designed to operate in a watchful mode, constantly working to minimize the use of memory space; otherwise a larger FDR would be needed. However, larger FDRs can be a problem because they have very rigorous requirements; thus, enlargement is costly. Outcomes of this research include the recommendation to send FDR data to a remote …

An Exploration Of Mobile Device Security Artifacts At Institutions Of Higher Education, Amita Goyal Chin, Diania Mcrae, Beth H. Jones, Mark A. Harris

Journal of International Technology and Information Management

The explosive growth and rapid proliferation of smartphones and other mobile

devices that access data over communication networks has necessitated advocating

and implementing security constraints for the purpose of abetting safe computing.

Remote data access using mobile devices is particularly popular among students at

institutions of higher education. To ensure safe harbor for constituents, it is

imperative for colleges and universities to establish, disseminate, and enforce

mobile device security artifacts, where artifacts is defined as policies, procedures,

guidelines or other documented or undocumented protocols. The purpose of this

study is to explore the existence of, specific content of, and the …

Motivations For Social Network Site (Sns) Gaming: A Uses And Gratification & Flow Perspective, Brinda Sampat, Bala Krishnamoorthy

Journal of International Technology and Information Management

The penetration of the internet, smart-phones and tablets has witnessed tremendous increase in the number of people playing online games in the past few years. Social networking site (SNS) games are a subset of digital games. They are platform based, multiplayer and reveal the real identity of the player. These games are hosted on social networks such as Facebook, where in people play with many other players online. The risks associated with social network gaming are addiction, theft, fraud, loneliness, anxiety, aggression, poor academic performance, cognition distortion etc. This study aims to understand the user motivations to continue to play …

The Impact Of Analytics Utilization On Team Performance: Comparisons Within And Across The U.S. Professional Sports Leagues, Lee A. Freeman

Journal of International Technology and Information Management

Business analytics, defined as the use of data to make better, more relevant, evidence-based business decisions, has received a great deal of attention in practitioner circles. Organizations have adopted business analytics in an effort to improve revenue, product placement, and customer satisfaction. Professional sports teams are no different. While analytics has been used for over 30 years, the use of analytics by professional sports teams is a relatively new concept. However, it is unclear whether the teams that have adopted analytics are seeing any results. If not, then perhaps analytics is not the right solution. Analyses across the four, major …

A Data-Centric Analysis On Stem Majoring And Success: Attitude And Readiness, Xin James He, Myron Sheu, Jie Tao

Journal of International Technology and Information Management

This research studies attitude and readiness of STEM majoring and success with

the data from a survey with a total of 501 viable responses, with respect to STEM

(science, technology, engineering, and mathematics) related majors that are

essential and fundamental to skills relevant to big data business analytics.

Recruiting and keeping students in STEM areas have attracted a large body of

attention in pedagogical studies. An effective way of achieving such a goal is to

show them how rewarding and self-fulfilling STEM careers can be toward

perspective students. One example of the abundance of STEM careers is the rapid

growth …

Prediction And Recommendations On The It Leaners' Learning Path As A Collective Intelligence Using A Data Mining Technique, Seong-Yong Hong, Juyun Cho, Yonghyun Hwang

Journal of International Technology and Information Management

With the recent advances in computer technology along with pervasive internet accesses, data analytics is getting more attention than ever before. In addition, research areas on data analysis are diverging and integrating lots of different fields such as a business and social sector. Especially, recent researches focus on the data analysis for a better intelligent decision making and prediction system. This paper analyzes data collected from current IT learners who have already studied various IT subjects to find the IT learners’ learning patterns. The most popular learning patterns are identified through an association rule data mining using an arules package …

Indoor Localization Via Multi-Modal Sensing On Smartphones, Han Xu, Zheng Yang, Zimu Zhou, Longfei Shangguan, Ke Yi, Yunhao Liu

Research Collection School Of Computing and Information Systems

Indoor localization is of great importance to a wide range ofapplications in shopping malls, office buildings and publicplaces. The maturity of computer vision (CV) techniques andthe ubiquity of smartphone cameras hold promise for offering sub-meter accuracy localization services. However, pureCV-based solutions usually involve hundreds of photos andpre-calibration to construct image database, a labor-intensiveoverhead for practical deployment. We present ClickLoc, anaccurate, easy-to-deploy, sensor-enriched, image-based indoor localization system. With core techniques rooted insemantic information extraction and optimization-based sensor data fusion, ClickLoc is able to bootstrap with few images. Leveraging sensor-enriched photos, ClickLoc also enables user localization with a single photo of the …

Metaflow: A Scalable Metadata Lookup Service For Distributed File Systems In Data Centers, Peng Sun, Yonggang Wen, Nguyen Binh Duong Ta, Haiyong Xie

Research Collection School Of Computing and Information Systems

In large-scale distributed file systems, efficient metadata operations are critical since most file operations have to interact with metadata servers first. In existing distributed hash table (DHT) based metadata management systems, the lookup service could be a performance bottleneck due to its significant CPU overhead. Our investigations showed that the lookup service could reduce system throughput by up to 70%, and increase system latency by a factor of up to 8 compared to ideal scenarios. In this paper, we present MetaFlow, a scalable metadata lookup service utilizing software-defined networking (SDN) techniques to distribute lookup workload over network components. MetaFlow tackles …

Enthalpy-Based System-Model For Pumped Two-Phase Cooling Systems, Leitao Chen, Fanghao Yang, Pritish R. Parida, Mark Schultz, Timothy Chainer

Publications

The development of embedded chip cooling for 2D and 3D integrated circuits using pumped dielectric refrigerant has gained recent attention due to the ability to manage high heat densities and compatibility with electronics. Recent studies have focused on in-situ thermal and hydrodynamic phenomena (e.g. boiling and bubble dynamics) of two-phase flow boiling at micro-scales. In this paper we focus on the two-phase cooling system design including the cooling capability, size and coefficient of performance (COP). In implementing a two-phase cooling, a system-level computational model for two-phase cooling systems becomes necessary. Therefore, a computationally manageable and accurate one dimensional (1D) system …

Fire-Spotting Modelling And Parametrisation For Wild-Land Fires, Inderpreet Kaur, Gianni Pagnini

International Congress on Environmental Modelling and Software

This article describes a mathematical formulation for simulating the effects of firebrands on the propagation of the wild-land fires. Among the different approaches available in literature, this formulation is defined in a way to provide a versatile approach for application to operational wildfire models. Most of the operational wildfire models like WRF-SFIRE and ForeFire model only the evolution of the fire-line according to the definition of the rate of spread, fuel characterisation and the average fire properties and concurrent atmospheric conditions. But this information is not enough to simulate the effects of turbulence and fire-spotting. The formulation presented here can …

A Generator Of Landuse Application For Complex And Heterogeneous Agricultural Practices, Odile Leccia-Phelpin, Jean-Marie Lescot, Françoise Vernier

International Congress on Environmental Modelling and Software

Non-point source pollution from agriculture has become a major concern for water managers and institutional stakeholders. To reduce diffuse pollution, agricultural conservation measures are widely used with efficiency. On non-monitored territories environmental modelling enables the assessment of their long term impacts on water and soils and to evaluate land-use change scenarios. We developed an innovative Generator of Landuse (GenLU) application in order to build up multi-year spatial crop successions from identified crop rotations with their related management schedule s. GenLU can be used solely for generating landuse or coupled with the Soil and Water Assessment Tool (SWAT) model so as …

Water Supply System Classification For Water Quality Improvement, Bruno Melo Brentan, Gustavo Meirelles Lima, Edevar Luvizotto Junior, Joaquín Izquierdo, Rafael Pérez-García

International Congress on Environmental Modelling and Software

Universal access to drinkable water is a constitutional right guaranteed in Brazil. However, not all cities in this country are able to supply the population with the expected quality. Important actions should be taken to improve the supply of drinkable water. To define a strategic plan for this purpose, classification tools can facilitate the design of plans, by grouping cities with similar quality conditions. During the last decades, neural network approaches have been used in environmental models, allowing more accurate representation of some complex systems. This work proposes the use of self-organizing maps (SOM’s) coupled with the k-means algorithm …

Optimal Land Use?! – A Review On Optimization Techniques Used In Multi-Criteria Decision Analysis, Andrea Kaim, Anna Cord, Martin Volk

International Congress on Environmental Modelling and Software

Agriculture, forest management, conservation planning and other related disciplines have specific land use demands, and thus different perspectives on how land should be used in an “optimal way”. One way to solve arising land use conflicts is employing the ecosystem services concept together with methods from the field of multi-criteria decision analysis (MCDA). Especially optimization techniques provide the possibility to include socio-economic and ecological aspects as well as the protection of biodiversity. In this study, we give an overview of these methods, focusing especially on their application in agricultural areas. We explore their abilities for the identification of ecosystem service …