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2020

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Local Binary Pattern Based Algorithms For The Discrimination And Detection Of Crops And Weeds With Similar Morphologies, Vi Nguyen Thanh Le Jan 2020

Local Binary Pattern Based Algorithms For The Discrimination And Detection Of Crops And Weeds With Similar Morphologies, Vi Nguyen Thanh Le

Theses: Doctorates and Masters

In cultivated agricultural fields, weeds are unwanted species that compete with the crop plants for nutrients, water, sunlight and soil, thus constraining their growth. Applying new real-time weed detection and spraying technologies to agriculture would enhance current farming practices, leading to higher crop yields and lower production costs. Various weed detection methods have been developed for Site-Specific Weed Management (SSWM) aimed at maximising the crop yield through efficient control of weeds. Blanket application of herbicide chemicals is currently the most popular weed eradication practice in weed management and weed invasion. However, the excessive use of herbicides has a detrimental impact …

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Applying Mobile Augmented Reality (Ar) To Teach Interior Design Students In Layout Plans: Evaluation Of Learning Effectiveness Based On The Arcs Model Of Learning Motivation Theory, Yuh-Shihng Chang, Kuo-Jui Hu, Cheng-Wei Chiang, Artur Lugmayr Jan 2020

Applying Mobile Augmented Reality (Ar) To Teach Interior Design Students In Layout Plans: Evaluation Of Learning Effectiveness Based On The Arcs Model Of Learning Motivation Theory, Yuh-Shihng Chang, Kuo-Jui Hu, Cheng-Wei Chiang, Artur Lugmayr

Research outputs 2014 to 2021

In this paper we present a mobile augmented reality (MAR) application supporting teaching activities in interior design. The application supports students in learning interior layout design, interior design symbols, and the effects of different design layout decisions. Utilizing the latest AR technology, users can place 3D models of virtual objects as e.g., chairs or tables on top of a design layout plan and interact with these on their mobile devices. Students can experience alternative design decision in real-time and increases the special perception of interior designs. Our system fully supports the import of interior deployment layouts and the generation of …

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Riverine Biota As Environmental Indicators Of Artisanal Small-Scale And Large-Scale Gold Mining Impacts On Riverine Ecosystems In Brong Ahafo Region, Ghana, K. F. Macdonald, M. Lund, E. Van Etten Jan 2020

Riverine Biota As Environmental Indicators Of Artisanal Small-Scale And Large-Scale Gold Mining Impacts On Riverine Ecosystems In Brong Ahafo Region, Ghana, K. F. Macdonald, M. Lund, E. Van Etten

Research outputs 2014 to 2021

A study on two adjacent small ephemeral river systems in the upper Tano River Basin in Brong Ahafo, Ghana; one impacted by ASGM and the other by a modern large gold mining (LSM), showed that impacts of mining on river sediment and water quality and quantity were reflected in the macroinvertebrate and microbial communities. This study investigated the impacts of ASGM on the ecology of the Surow River and that of a large-scale mining (LSM, the Ahafo mine) on the Subri River between February 2013 and April 2014 Macroinvertebrate communities responded to the shift in river water and sediment qualities, …

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Geographical Disparities In Screening And Cancer- Related Health Behaviour, Belinda Goodwin, Arlen K. Rowe, Fiona Crawford-Williams, Peter Baade, Suzanne K. Chambers, Nicholas Ralph, Joanne F. Aitken Jan 2020

Geographical Disparities In Screening And Cancer- Related Health Behaviour, Belinda Goodwin, Arlen K. Rowe, Fiona Crawford-Williams, Peter Baade, Suzanne K. Chambers, Nicholas Ralph, Joanne F. Aitken

Research outputs 2014 to 2021

This study aimed to identify whether cancer-related health behaviours including participation in cancer screening vary by geographic location in Australia. Data were obtained from the 2014–2015 Australian National Health Survey, a computer-assisted telephone interview that measured a range of health-related issues in a sample of randomly selected households. Chi-square tests and adjusted odds ratios from logistic regression models were computed to assess the association between residential location and cancer-related health behaviours including cancer screening participation, alcohol consumption, smoking, exercise, and fruit and vegetable intake, controlling for age, socio-economic status (SES), education, and place of birth. The findings show insufficient exercise, …

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Integration Of Heat Pipe Solar Water Heating Systems With Different Residential Households: An Energy, Environmental, And Economic Evaluation, Abdellah Shafieian, Mehdi Khiadani Jan 2020

Integration Of Heat Pipe Solar Water Heating Systems With Different Residential Households: An Energy, Environmental, And Economic Evaluation, Abdellah Shafieian, Mehdi Khiadani

Research outputs 2014 to 2021

This study presents a detailed methodology for evaluating the energy, environmental, and economic contributions of heat pipe solar water heating (HPSWH) systems in various households. The hot water consumption patterns of Perth residents in Australia in one, two, and four-occupant houses are extracted in hourly basis throughout a year. The annual performance of the system is evaluated based on parameters such as saved energy, solar fraction, avoided CO2 emission, saved money, and payback period. Moreover, an experimental rig is designed, manufactured, and tested. The results show that the contribution of the solar system in meeting the hot water demand …

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Cyber-Security Constrained Placement Of Facts Devices In Power Networks From A Novel Topological Perspective, Hossein Parastvand, Octavian Bass, Mohammad A. S. Masoum, Airlie Chapman, Stefan Lachowicz Jan 2020

Cyber-Security Constrained Placement Of Facts Devices In Power Networks From A Novel Topological Perspective, Hossein Parastvand, Octavian Bass, Mohammad A. S. Masoum, Airlie Chapman, Stefan Lachowicz

Research outputs 2014 to 2021

Optimal placement of flexible AC transmission systems (FACTS) devices and the cyber-security of associated data exchange are crucial for the controllability of wide area power networks. The placement of FACTS devices is studied in this paper from a novel graph theoretic perspective, which unlike the existing approaches, purely relies on topological characteristics of the underlying physical graphs of power networks. To this end, the maximum matching principle (MMP) is used to find the set of required FACTS devices for the grid controllability. In addition, the cyber-security of the most critical data related to the FACTS controllers is guaranteed by introducing …

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Cross-Docking: A Systematic Literature Review, Reza Kiani Mavi, Mark Goh, Neda Kiani Mavi, Ferry Jie, Kerry Brown, Sharon Biermann, Ahmad A. Khanfar Jan 2020

Cross-Docking: A Systematic Literature Review, Reza Kiani Mavi, Mark Goh, Neda Kiani Mavi, Ferry Jie, Kerry Brown, Sharon Biermann, Ahmad A. Khanfar

Research outputs 2014 to 2021

This paper identifies the major research concepts, techniques, and models covered in the cross-docking literature. A systematic literature review is conducted using the BibExcel bibliometric analysis and Gephi network analysis tools. A research focus parallelship network (RFPN) analysis and keyword co-occurrence network (KCON) analysis are used to identify the primary research themes. The RFPN results suggest that vehicle routing, inventory control, scheduling, warehousing, and distribution are most studied. Of the optimization and simulation techniques applied in cross-docking, linear and integer programming has received much attention. The paper informs researchers interested in investigating cross-docking through an integrated perspective of the research …

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Seagrass Losses Since Mid‐20th Century Fuelled Co2 Emissions From Soil Carbon Stocks, Cristian Salinas, Carlos M. Duarte, Paul Lavery, Pere Masque´, Ariane Arias-Ortiz, Javier X. Leon, David Callaghan, Gary A. Kendrick, Oscar Serrano Jan 2020

Seagrass Losses Since Mid‐20th Century Fuelled Co2 Emissions From Soil Carbon Stocks, Cristian Salinas, Carlos M. Duarte, Paul Lavery, Pere Masque´, Ariane Arias-Ortiz, Javier X. Leon, David Callaghan, Gary A. Kendrick, Oscar Serrano

Research outputs 2014 to 2021

Seagrass meadows store globally significant organic carbon (Corg) stocks which, if disturbed, can lead to CO2 emissions, contributing to climate change. Eutrophication and thermal stress continue to be a major cause of seagrass decline worldwide, but the associated CO2 emissions remain poorly understood. This study presents comprehensive estimates of seagrass soil Corg erosion following eutrophication‐driven seagrass loss in Cockburn Sound (23 km2 between 1960s and 1990s) and identifies the main drivers. We estimate that shallow seagrass meadows ( < 5 m depth) had significantly higher Corg stocks in 50 cm thick soils (4.5 ± 0.7 kg Corg/m2) …

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Robust Placement And Sizing Of Charging Stations From A Novel Graph Theoretic Perspective, Hossein Parastvand, Octavian Bass, Mohammad A. S. Masoum, Airlie Chapman, Stefan Lachowicz Jan 2020

Robust Placement And Sizing Of Charging Stations From A Novel Graph Theoretic Perspective, Hossein Parastvand, Octavian Bass, Mohammad A. S. Masoum, Airlie Chapman, Stefan Lachowicz

Research outputs 2014 to 2021

This paper proposes analytical approaches to extend the capacity of existing networks of electric vehicles (EVs) by placement of additional charging stations (CSs) as well as determining the sizes of existing and new CSs in order to handle future expansions of EVs. The EV flow at CSs is modeled by a graph where nodes are potential locations for CSs and edges are uncertain parameters representing the variable EV flow at CSs. The required extra CS locations are explored by transforming the CS placement problem into a controllability framework addressed by maximum matching principle (MMP). To find the sizes of each …

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The Importance Of Catchments To Mine-Pit Lakes: Implications For Closure, Mark Lund, Eddie Van Etten, Jonas Polifka, Marylin Quintero Vasquez, Ravish Ramessur, Dechen Yangzom, Melanie L. Blanchette Jan 2020

The Importance Of Catchments To Mine-Pit Lakes: Implications For Closure, Mark Lund, Eddie Van Etten, Jonas Polifka, Marylin Quintero Vasquez, Ravish Ramessur, Dechen Yangzom, Melanie L. Blanchette

Research outputs 2014 to 2021

Despite the large body of riparian literature for rivers and lakes, there are few studies on the catchments of mine pit lakes. Therefore, the broad objective of this research was to determine if catchment characteristics were related to pit lake nutrient concentrations. We hypothesised that: (1) catchment characteristics would vary among pit lakes, (2) pit lake catchments would differ from co-occurring naturally-forested catchments, and (3) connecting a pit lake (Kepwari) to a naturally-forested catchment via a river flow-through would increase C accumulation in the lake. The research was conducted in pit lakes of the Collie lake district in Western Australia …

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Intelligent Building Systems: Security And Facility Professionals’ Understanding Of System Threats,Vulnerabilities And Mitigation Practice, David J. Brooks, Michael Coole, Paul Haskell-Dowland Jan 2020

Intelligent Building Systems: Security And Facility Professionals’ Understanding Of System Threats,Vulnerabilities And Mitigation Practice, David J. Brooks, Michael Coole, Paul Haskell-Dowland

Research outputs 2014 to 2021

Intelligent Buildings or Building Automation and Control Systems (BACS) are becoming common in buildings, driven by the commercial need for functionality, sharing of information, reduced costs and sustainable buildings. The facility manager often has BACS responsibility; however, their focus is generally not on BACS security. Nevertheless, if a BACS-manifested threat is realised, the impact to a building can be significant, through denial, loss or manipulation of the building and its services, resulting in loss of information or occupancy. Therefore, this study garnered a descriptive understanding of security and facility professionals’ knowledge of BACS, including vulnerabilities and mitigation practices. Results indicate …

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Macroinvertebrates And Microbes (Archaea, Bacteria) Offer Complementary Insights Into Mine-Pit Lake Ecology, Melanie L. Blanchette, Richard Allcock, Jahir Gonzalez, Nina Kresoje, Mark Lund Jan 2020

Macroinvertebrates And Microbes (Archaea, Bacteria) Offer Complementary Insights Into Mine-Pit Lake Ecology, Melanie L. Blanchette, Richard Allcock, Jahir Gonzalez, Nina Kresoje, Mark Lund

Research outputs 2014 to 2021

The broad objective of this research was to determine the environmental drivers of macroinvertebrate and microbial assemblages in acidic pit lakes. This is important because pit lake ecosystem development is influenced by prevailing environmental characteristics. Three lakes (Stockton, Kepwari, WO5H) within a larger pit-lake district in Collie, Western Australia were surveyed for spatial variability of benthic macroinvertebrate and microbe (Archaea, Bacteria) assemblage composition as well as potential environmental drivers (riparian condition, aquatic habitat, sediments, and aquatic chemistry) of assemblages. With the exception of sediment chemistry, biophysical variables were significantly different across lakes and reflected riparian condition and groundwater chemistry. Microbial …

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Factors Influencing Carbon Stocks And Accumulation Rates In Eelgrass Meadows Across New England, Usa, A. B. Novak, M. C. Pelletier, P. Colarusso, J. Simpson, M. N. Gutierrez, A. Arias-Ortiz, M. Charpentier, Pere Masque, P. Vella Jan 2020

Factors Influencing Carbon Stocks And Accumulation Rates In Eelgrass Meadows Across New England, Usa, A. B. Novak, M. C. Pelletier, P. Colarusso, J. Simpson, M. N. Gutierrez, A. Arias-Ortiz, M. Charpentier, Pere Masque, P. Vella

Research outputs 2014 to 2021

Increasing the protection of coastal vegetated ecosystems has been suggested as one strategy to compensate for increasing carbon dioxide (CO2) in the atmosphere as the capacity of these habitats to sequester and store carbon exceeds that of terrestrial habitats. Seagrasses are a group of foundation species that grow in shallow coastal and estuarine systems and have an exceptional ability to sequester and store large quantities of carbon in biomass and, particularly, in sediments. However, carbon stocks (Corg stocks) and carbon accumulation rates (Corg accumulation) in seagrass meadows are highly variable both spatially and temporally, making it difficult to extrapolate this …

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A Vision-Based Machine Learning Method For Barrier Access Control Using Vehicle License Plate Authentication, Kh Tohidul Islam, Ram Gopal Raj, Syed Mohammed Shamsul Islam, Sudanthi Wijewickrema, Md Sazzad Hossain, Tayla Razmovski, Stephen O’Leary Jan 2020

A Vision-Based Machine Learning Method For Barrier Access Control Using Vehicle License Plate Authentication, Kh Tohidul Islam, Ram Gopal Raj, Syed Mohammed Shamsul Islam, Sudanthi Wijewickrema, Md Sazzad Hossain, Tayla Razmovski, Stephen O’Leary

Research outputs 2014 to 2021

Automatic vehicle license plate recognition is an essential part of intelligent vehicle access control and monitoring systems. With the increasing number of vehicles, it is important that an effective real-time system for automated license plate recognition is developed. Computer vision techniques are typically used for this task. However, it remains a challenging problem, as both high accuracy and low processing time are required in such a system. Here, we propose a method for license plate recognition that seeks to find a balance between these two requirements. The proposed method consists of two stages: detection and recognition. In the detection stage, …

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Prevalence Of Somatic-Mental Multimorbidity And Its Prospective Association With Disability Among Older Adults In China, Haibin Li, Anxin Wang, Qi Gao, Xiaonan Wang, Yanxia Luo, Xinghua Yang, Xia Li, Wei Wang, Deqiang Zheng, Xiuhua Guo Jan 2020

Prevalence Of Somatic-Mental Multimorbidity And Its Prospective Association With Disability Among Older Adults In China, Haibin Li, Anxin Wang, Qi Gao, Xiaonan Wang, Yanxia Luo, Xinghua Yang, Xia Li, Wei Wang, Deqiang Zheng, Xiuhua Guo

Research outputs 2014 to 2021

We aimed to identify prevalent somatic-mental multimorbidity (SMM) and examine its prospective association with disability among a nationally representative sample. A total of 6728 participants aged 60 years and older in the China Health and Retirement Longitudinal Study were included. A total of 14 somatic or mental conditions were assessed in 2013. SMM was defined as any combination of two or more conditions in which at least one condition was somatic and at least one condition was mental. Disability risk was measured using the combined Activities of Daily Living (ADL)-Instrumental Activities of Daily Living (IADL) index (range 0–11; higher index …

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Global Database Of Ratios Of Particulate Organic Carbon To Thorium-234 In The Ocean: Improving Estimates Of The Biological Carbon Pump, Viena Puigcorbe, Pere Masque, Frederic A.C. Le Moigne Jan 2020

Global Database Of Ratios Of Particulate Organic Carbon To Thorium-234 In The Ocean: Improving Estimates Of The Biological Carbon Pump, Viena Puigcorbe, Pere Masque, Frederic A.C. Le Moigne

Research outputs 2014 to 2021

The ocean's biological carbon pump (BCP) plays a major role in the global carbon cycle. A fraction of the photosynthetically fixed organic carbon produced in surface waters is exported below the sunlit layer as settling particles (e.g., marine snow). Since the seminal works on the BCP, global estimates of the global strength of the BCP have improved but large uncertainties remain (from 5 to 20 Gt C yr−1 exported below the euphotic zone or mixed-layer depth). The 234Th technique is widely used to measure the downward export of particulate organic carbon (POC). This technique has the advantage of allowing a …

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A Novel Penalty-Based Wrapper Objective Function For Feature Selection In Big Data Using Cooperative Co-Evolution, A.N.M. Bazlur Rashid, Mohiuddin Ahmed, Leslie F. Sikos, Paul Haskell-Dowland Jan 2020

A Novel Penalty-Based Wrapper Objective Function For Feature Selection In Big Data Using Cooperative Co-Evolution, A.N.M. Bazlur Rashid, Mohiuddin Ahmed, Leslie F. Sikos, Paul Haskell-Dowland

Research outputs 2014 to 2021

The rapid progress of modern technologies generates a massive amount of high-throughput data, called Big Data, which provides opportunities to find new insights using machine learning (ML) algorithms. Big Data consist of many features (also called attributes); however, not all these are necessary or relevant, and they may degrade the performance of ML algorithms. Feature selection (FS) is an essential preprocessing step to reduce the dimensionality of a dataset. Evolutionary algorithms (EAs) are widely used search algorithms for FS. Using classification accuracy as the objective function for FS, EAs, such as the cooperative co-evolutionary algorithm (CCEA), achieve higher accuracy, even …

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Use Of Landsat Imagery To Map Spread Of The Invasive Alien Species Acacia Nilotica In Baluran National Park, Indonesia, Sutomo Sutomo, Eddie Van Etten, Rajif Iryadi Jan 2020

Use Of Landsat Imagery To Map Spread Of The Invasive Alien Species Acacia Nilotica In Baluran National Park, Indonesia, Sutomo Sutomo, Eddie Van Etten, Rajif Iryadi

Research outputs 2014 to 2021

© 2020 Seameo Biotrop. In the late 1960s, Acacia nilotica was introduced to Baluran National Park to establish fire breaks which would prevent the spread of fire from Baluran Savanna to the adjacent teak forest. However, A. nilotica has spread rapidly and has threatened the existence of Baluran Savanna as it has caused an ecosystem transition from an open savanna to a closed canopy of A. nilotica in some areas. This study is one of the few that examines A. nilotica invasion in Baluran National Park through remote sensing. Land cover dynamics were quantified using a supervised classification approach on …

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The Enactment Of Setting Policy In Secondary School Physical Education, Shaun D. Wilkinson, Dawn Penney, Linda Allin, Paul Potrac Jan 2020

The Enactment Of Setting Policy In Secondary School Physical Education, Shaun D. Wilkinson, Dawn Penney, Linda Allin, Paul Potrac

Research outputs 2014 to 2021

© 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group. The micro-level enactment of educational policy has received little attention in the physical education [PE] literature, particularly as it relates to setting policy. This study employs enactment theory to provide original insights into the ways in which setting policy was enacted by PE teachers in three mixed-gender secondary schools in England. The work of Stephen Ball and colleagues is used to examine the distinct and combined influence of the situated, material, professional and external dimensions of context on setting policy and practices in PE in these three …

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Multiple Impact Pathways Of The 2015–2016 El Niño In Coastal Kenya, Matt Fortnam, Molly Atkins, Katrina Brown, Tomas Chaigneau, Ankje Frouws, Kemyline Gwaro, Mark Huxham, James Kairo, Amon Kimeli, Bernard Kirui, Katy Sheen Jan 2020

Multiple Impact Pathways Of The 2015–2016 El Niño In Coastal Kenya, Matt Fortnam, Molly Atkins, Katrina Brown, Tomas Chaigneau, Ankje Frouws, Kemyline Gwaro, Mark Huxham, James Kairo, Amon Kimeli, Bernard Kirui, Katy Sheen

Research outputs 2014 to 2021

© 2020, The Author(s). The 2015–2016 El Niño had large impacts globally. The effects were not as great as anticipated in Kenya, however, leading some commentators to call it a ‘non-event’. Our study uses a novel combination of participatory Climate Vulnerability and Capacity Analysis tools, and new and existing social and biophysical data, to analyse vulnerability to, and the multidimensional impacts of, the 2015–2016 El Niño episode in southern coastal Kenya. Using a social-ecological systems lens and a unique dataset, our study reveals impacts overlooked by conventional analysis. We show how El Niño stressors interact with and amplify existing vulnerabilities …

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Quantifying The Need For Supervised Machine Learning In Conducting Live Forensic Analysis Of Emergent Configurations (Eco) In Iot Environments, Victor R. Kebande, Richard A. Ikuesan, Nickson M. Karie, Sadi Alawadi, Kim-Kwang Raymond Choo, Arafat Al-Dhaqm Jan 2020

Quantifying The Need For Supervised Machine Learning In Conducting Live Forensic Analysis Of Emergent Configurations (Eco) In Iot Environments, Victor R. Kebande, Richard A. Ikuesan, Nickson M. Karie, Sadi Alawadi, Kim-Kwang Raymond Choo, Arafat Al-Dhaqm

Research outputs 2014 to 2021

© 2020 The Author(s) Machine learning has been shown as a promising approach to mine larger datasets, such as those that comprise data from a broad range of Internet of Things devices, across complex environment(s) to solve different problems. This paper surveys existing literature on the potential of using supervised classical machine learning techniques, such as K-Nearest Neigbour, Support Vector Machines, Naive Bayes and Random Forest algorithms, in performing live digital forensics for different IoT configurations. There are also a number of challenges associated with the use of machine learning techniques, as discussed in this paper.

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Distance Oracles For Interval Graphs Via Breadth-First Rank/Select In Succinct Trees, Meng He, J. Ian Munro, Yakov Nekrich, Sebastian Wild, Kaiyu Wu Jan 2020

Distance Oracles For Interval Graphs Via Breadth-First Rank/Select In Succinct Trees, Meng He, J. Ian Munro, Yakov Nekrich, Sebastian Wild, Kaiyu Wu

Michigan Tech Publications, Part 1

We present the first succinct distance oracles for (unweighted) interval graphs and related classes of graphs, using a novel succinct data structure for ordinal trees that supports the mapping between preorder (i.e., depth-first) ranks and level-order (breadth-first) ranks of nodes in constant time. Our distance oracles for interval graphs also support navigation queries – testing adjacency, computing node degrees, neighborhoods, and shortest paths – all in optimal time. Our technique also yields optimal distance oracles for proper interval graphs (unit-interval graphs) and circular-arc graphs. Our tree data structure supports all operations provided by different approaches in previous work, as well …

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A Brief History Of Whiskey Adulteration And The Role Of Spectroscopy Combined With Chemometrics In The Detection Of Modern Whiskey Fraud, Mary Deasy, Aoife C. Power, Sinead Currivan, Sive Geoghegan, Daniel Cozzolino Jan 2020

A Brief History Of Whiskey Adulteration And The Role Of Spectroscopy Combined With Chemometrics In The Detection Of Modern Whiskey Fraud, Mary Deasy, Aoife C. Power, Sinead Currivan, Sive Geoghegan, Daniel Cozzolino

Articles

Food fraud and adulteration is a major concern in terms of economic and public health. Multivariate methods combined with spectroscopic techniques have shown promise as novel an analytical strategy for addressing issues related to food fraud that cannot be solved by the analysis of one variable, particularly in complex matrices such distilled beverages. This review describes and discusses different aspects of whisky production, and recent developments of laboratory, in field and high throughput analysis. In particular, recent applications detailing the use of vibrational spectroscopy techniques combined with data analytical methods used to distinguish between brand and origin of whisky to …

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A Catalogue Of Locus Algorithm Pointings For Optimal Differential Photometry For 23,779 Quasars, Oisın Creaner, Kevin Nolan, David Grennan, Niall Smith, Eugene Hickey Jan 2020

A Catalogue Of Locus Algorithm Pointings For Optimal Differential Photometry For 23,779 Quasars, Oisın Creaner, Kevin Nolan, David Grennan, Niall Smith, Eugene Hickey

Articles

This paper presents a catalogue of optimised pointings for differential photometry of23,779 quasars extracted from the Sloan Digital Sky Survey (SDSS) Catalogue and ascore for each indicating the quality of the Field of View (FoV) associated with thatpointing. Observation of millimagnitude variability on a timescale of minutes typicallyrequires differential observations with reference to an ensemble of reference stars. Foroptimal performance, these reference stars should have similar colour and magnitudeto the target quasar. In addition, the greatest quantity and quality of suitable refer-ence stars may be found by using a telescope pointing which offsets the target objectfrom the centre of the …

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Comparing Tagging Suggestion Models On Discrete Corpora, Bojan Bozic, Andre Rios, Sarah Jane Delany Jan 2020

Comparing Tagging Suggestion Models On Discrete Corpora, Bojan Bozic, Andre Rios, Sarah Jane Delany

Articles

This paper aims to investigate the methods for the prediction of tags on a textual corpus that describes diverse data sets based on short messages; as an example, the authors demonstrate the usage of methods based on hotel staff inputs in a ticketing system as well as the publicly available StackOverflow corpus. The aim is to improve the tagging process and find the most suitable method for suggesting tags for a new text entry.

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Importance Of Data Distribution On Hive-Based Systems For Query Performance: An Experimental Study, Hilmi Egemen Ciritoglu, John Murphy, Christina Thorpe Jan 2020

Importance Of Data Distribution On Hive-Based Systems For Query Performance: An Experimental Study, Hilmi Egemen Ciritoglu, John Murphy, Christina Thorpe

Articles

SQL-on-Hadoop systems have been gaining popularity in recent years. One popular example of SQL-on-Hadoop systems is Apache Hive; the pioneer of SQL-on-Hadoop systems. Hive is located on the top of big data stack as an application layer. Besides the application layer, the Hadoop Ecosystem is composed of 3 different main layers: storage, the resource manager and processing engine. The demand from industry has led to the development of new efficient components for each layer. As the ecosystem evolves over time, Hive employed different execution engines too. Understanding the strengths of components is very important in order to exploit the full …

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Analysis Of Automatic Annotations Of Real Video Surveillance Images, Diana Guevara Flores, Fernando Pérez Téllez, David Pinto Avendaño Jan 2020

Analysis Of Automatic Annotations Of Real Video Surveillance Images, Diana Guevara Flores, Fernando Pérez Téllez, David Pinto Avendaño

Articles

The results of the analysis of the automatic annotations of real video surveillance sequences are presented. The annotations of the frames of surveillance sequences of the parking lot of a university campus are generated. The purpose of the analysis is to evaluate the quality of the descriptions and analyze the correspondence between the semantic content of the images and the corresponding annotation. To perform the tests, a fixed camera was placed in the campus parking lot and video sequences of about 20 minutes were obtained, later each frame was annotated individually and a text repository with all the annotations was …

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An Univariable Approach For Forecasting Workload In The Maintenance Industry, Paulo Silva, Fernando Pérez Téllez, John Cardiff Jan 2020

An Univariable Approach For Forecasting Workload In The Maintenance Industry, Paulo Silva, Fernando Pérez Téllez, John Cardiff

Articles

The forecasting of the workload in the maintenance industry is of great value to improve human resources allocation and reduce overwork. In this paper, we discuss the problem and the challenges it pertains. We analyze data from a company operating in the industry and present the results of several forecasting models.

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Development Of Smartphone-Based Ecl Sensor For Dopamine Detection: Practical Approaches, Hyun J. Kwon, Elmer Rivera, Mabio R. Cohelo Neto, Daniel Marsh, Jonathan Swerdlow, Rodney Lee Summerscales, Padma P. Tadi Uppala Jan 2020

Development Of Smartphone-Based Ecl Sensor For Dopamine Detection: Practical Approaches, Hyun J. Kwon, Elmer Rivera, Mabio R. Cohelo Neto, Daniel Marsh, Jonathan Swerdlow, Rodney Lee Summerscales, Padma P. Tadi Uppala

Faculty Publications

In this work, a compact, mobile phone-based ECL sensor apparatus was developed using the phone cameras, screen-printed electrodes (SPE), and mobile app for dopamine detection. Methods of DC voltage application for ECL reaction were comprehensively studied from the mobile phone itself or external power. Under optimized sensing conditions, with disposable carbon SPE and 20 mM coreactant tri-n-propylamine (TPrA), acceptable repeatability and reproducibility were achieved in terms of relative standard deviation (RSD) of intra- and interassays, which were 6.7 and 5.5%, respectively. The biochemical compound dopamine was measured due to its ECL quenching characteristics and its clinical importance. The …

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A Guide To Ligo–Virgo Detector Noise And Extraction Of Transient Gravitational-Wave Signals, Tiffany Summerscales, Ligo Scientific Collaboration And The Virgo Collaboration Jan 2020

A Guide To Ligo–Virgo Detector Noise And Extraction Of Transient Gravitational-Wave Signals, Tiffany Summerscales, Ligo Scientific Collaboration And The Virgo Collaboration

Faculty Publications

The LIGO Scientific Collaboration and the Virgo Collaboration have cataloged eleven confidently detected gravitational-wave events during the first two observing runs of the advanced detector era. All eleven events were consistent with being from well-modeled mergers between compact stellarmass objects: black holes or neutron stars. The data around the time of each of these events have been made publicly available through the gravitationalwave open science center. The entirety of the gravitational-wave strain data from the first and second observing runs have also now been made publicly available. There is considerable interest among the broad scientific community in understanding the data …

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