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Full-Text Articles in Engineering

Finding Truth In Fake News: Reverse Plagiarism And Other Models Of Classification, Matthew Przybyla, David Tran, Amber Whelpley, Daniel W. Engels Jan 2019

Finding Truth In Fake News: Reverse Plagiarism And Other Models Of Classification, Matthew Przybyla, David Tran, Amber Whelpley, Daniel W. Engels

SMU Data Science Review

As the digital age creates new ways of spreading news, fake stories are propagated to widen audiences. A majority of people obtain both fake and truthful news without knowing which is which. There is not currently a reliable and efficient method to identify “fake news”. Several ways of detecting fake news have been produced, but the various algorithms have low accuracy of detection and the definition of what makes a news item ‘fake’ remains unclear. In this paper, we propose a new method of detecting on of fake news through comparison to other news items on the same topic, as ...


Performance Simulation And Evaluation Of Net Zero Energy Buildings In An Australian Coastal Climate, Joel Anderson, Duane A. Robinson, Zhenjun Ma Jan 2019

Performance Simulation And Evaluation Of Net Zero Energy Buildings In An Australian Coastal Climate, Joel Anderson, Duane A. Robinson, Zhenjun Ma

Faculty of Engineering and Information Sciences - Papers: Part B

Net zero energy buildings (NZEB) are becoming more common, and as new energy saving designs and technologies become available, the ability to estimate overall energy use and understand the impact on operation of building appliances will become important. This paper outlines simulation results of performance improvements achieved by modifying various components (glazing, lighting, thermal comfort settings) of two tertiary education NZEBs and a typical modern commercial building. The DesignBuilder models' thermal performance and energy consumption were validated using real data from case study buildings. The work shows validating models of smaller, less conven-tional, buildings is more difficult than for larger ...


Use Of Geogrids And Recycled Rubber In Railroad Infrastructure For Enhanced Performance, Buddhima Indraratna, Yujie Qi, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn, Tim Neville, Fernanda Bessa Ferreira, Amir Shahkolahi Jan 2019

Use Of Geogrids And Recycled Rubber In Railroad Infrastructure For Enhanced Performance, Buddhima Indraratna, Yujie Qi, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn, Tim Neville, Fernanda Bessa Ferreira, Amir Shahkolahi

Faculty of Engineering and Information Sciences - Papers: Part B

Railway tracks are conventionally built on compacted ballast and structural fill layers placed above the natural (subgrade) foundation. However, during train operations, track deteriorations occur progressively due to ballast degradation. The associated track deformation is usually accompanied by a reduction in both load bearing capacity and drainage, apart from imposing frequent track maintenance. Suitable ground improvement techniques involving plastic inclusions (e.g., geogrids) and energy absorbing materials (e.g., rubber products) to enhance the stability and longevity of tracks have become increasingly popular. This paper presents the outcomes from innovative research and development measures into the use of plastic and ...


On Tetragonality Of The Martensite Crystal Lattice In Steels, V Lobodyuk, Yu Ya Meshkov, Elena V. Pereloma Jan 2019

On Tetragonality Of The Martensite Crystal Lattice In Steels, V Lobodyuk, Yu Ya Meshkov, Elena V. Pereloma

Faculty of Engineering and Information Sciences - Papers: Part B

This article addresses the pseudo-tetragonal nature of the crystal lattice of martensite in carbon-containing steels. It is proposed that the periodic distortion of c-cube edges by the presence of carbon atoms is better reflected in the root-mean-square distortions of martensite lattice than by the value of doublet splitting of the corresponding X-ray reflections of the martensite crystal.


Implementation Of An Iot Based Radar Sensor Network For Wastewater Management, Adam Drenoyanis, Raad Raad, Ivan Wady, Carmel Krogh Jan 2019

Implementation Of An Iot Based Radar Sensor Network For Wastewater Management, Adam Drenoyanis, Raad Raad, Ivan Wady, Carmel Krogh

Faculty of Engineering and Information Sciences - Papers: Part B

Critical wastewater events such as sewer main blockages or overflows are often not detected until after the fact. These events can be costly, from both an environmental impact and monetary standpoint. A standalone, portable radar device allowing non-invasive benchmarking of sewer pumping station (SPS) pumps is presented. Further, by configuring and deploying a complete Low Power Wide Area Network (LPWAN), Shoalhaven Water (SW) now has the opportunity to create "Internet of Things" (IoT)-capable devices that offer freedom from the reliance on mobile network providers, whilst avoiding congestion on the existing Supervisory Control and Data Acquisition (SCADA) telemetry backbone. This ...


Non-Linear Tyre Model-Based Non-Singular Terminal Sliding Mode Observer For Vehicle Velocity And Side-Slip Angle Estimation, Boyuan Li, Haiping Du, Weihua Li, Bangji Zhang Jan 2019

Non-Linear Tyre Model-Based Non-Singular Terminal Sliding Mode Observer For Vehicle Velocity And Side-Slip Angle Estimation, Boyuan Li, Haiping Du, Weihua Li, Bangji Zhang

Faculty of Engineering and Information Sciences - Papers: Part B

Vehicle velocity and side-slip angle are important vehicle states for the electronic stability programme and traction control system in vehicle safety control system and for the control allocation method of electric vehicles with in-wheel motors. This paper proposes an innovative side-slip angle estimator based on the non-linear Dugoff tyre model and non-singular terminal sliding mode observer. The proposed estimation method based on the non-linear tyre model can accurately present the tyre's non-linear characteristics and can show advantages over estimation methods based on the linear tyre model. The utilised Dugoff tyre model has a relatively simple structure with few parameters ...


Derivative-Based Acceleration Of General Vector Machine, Binbin Yong, Fucun Li, Qingquan Lv, Jun Shen, Qingguo Zhou Jan 2019

Derivative-Based Acceleration Of General Vector Machine, Binbin Yong, Fucun Li, Qingquan Lv, Jun Shen, Qingguo Zhou

Faculty of Engineering and Information Sciences - Papers: Part B

General vector machine (GVM) is one of supervised learning machine, which is based on three-layer neural network. It is capable of constructing a learning model with limited amount of data. Generally, it employs Monte Carlo algorithm (MC) to adjust weights of the underlying network. However, GVM is time-consuming at training and is not efficient when compared with other learning algorithm based on gradient descent learning. In this paper, we present a derivative-based Monte Carlo algorithm (DMC) to accelerate the training of GVM. Our experimental results indicate that DMC algorithm is faster than the original MC method. Specifically, the training time ...


Analytical Expressions For Characterising Voltage Dips And Phase-Angle Jumps In Electricity Networks, Most Begum, Mollah R. Alam, Kashem M. Muttaqi Jan 2019

Analytical Expressions For Characterising Voltage Dips And Phase-Angle Jumps In Electricity Networks, Most Begum, Mollah R. Alam, Kashem M. Muttaqi

Faculty of Engineering and Information Sciences - Papers: Part B

Voltage dips/sags are one of the major concerns for electricity consumers as well as utility service providers. Therefore, the characterisation of voltage dips/sags is required. This study presents a set of mathematical expressions for characterising different types of voltage dips/sags and their associated phase-angle jumps, which are typically found due to faults and/or disturbances in electricity networks. The expressions are derived analytically from the model of the power network containing generators, transmission and/or distribution lines, transformers etc. Four types of voltage dips, namely, A, B, E, and G, which are associated with four major types ...


Mobile Health Interventions For Self-Control Of Unhealthy Alcohol Use: Systematic Review, Ting Song, Siyu Qian, Ping Yu Jan 2019

Mobile Health Interventions For Self-Control Of Unhealthy Alcohol Use: Systematic Review, Ting Song, Siyu Qian, Ping Yu

Faculty of Engineering and Information Sciences - Papers: Part B

Background: Unhealthy alcohol use (UAU) is one of the major causes of preventable morbidity, mortality, and associated behavioral risks worldwide. Although mobile health (mHealth) interventions can provide consumers with an effective means for self-control of UAU in a timely, ubiquitous, and cost-effective manner, to date, there is a lack of understanding about different health outcomes brought by such interventions. The core components of these interventions are also unclear.

Objective: This study aimed to systematically review and synthesize the research evidence about the efficacy of mHealth interventions on various health outcomes for consumer self-control of UAU and to identify the core ...


A New Method For Direct Tensile Testing Of Concrete, Faez Alhussainy, Hayder Alaa Hasan, M Neaz Sheikh, Muhammad N. S Hadi Jan 2019

A New Method For Direct Tensile Testing Of Concrete, Faez Alhussainy, Hayder Alaa Hasan, M Neaz Sheikh, Muhammad N. S Hadi

Faculty of Engineering and Information Sciences - Papers: Part B

Different testing methods were used in previous studies to measure the direct tensile strength of concrete. However, these methods experienced several major deficiencies such as stress concentration at the end of the specimens because of inadequate gripping and loading eccentricity and nonuniform fracture plane because of difficulties in aligning and centering the specimens during testing. This study presents the details of a new method of testing concrete under uniaxial tension. The method was developed to overcome the difficulties associated with testing methods adopted in the previous research studies. A full description of the wooden molds used in casting the specimens ...


A Robust Registration Method For Autonomous Driving Pose Estimation In Urban Dynamic Environment Using Lidar, Rendong Wang, Youchun Xu, Miguel Sotelo, Yulin Ma, T Sarkodie-Gyan, Zhixiong Li, Weihua Li Jan 2019

A Robust Registration Method For Autonomous Driving Pose Estimation In Urban Dynamic Environment Using Lidar, Rendong Wang, Youchun Xu, Miguel Sotelo, Yulin Ma, T Sarkodie-Gyan, Zhixiong Li, Weihua Li

Faculty of Engineering and Information Sciences - Papers: Part B

The registration of point clouds in urban environments faces problems such as dynamic vehicles and pedestrians, changeable road environments, and GPS inaccuracies. The state-of-the-art methodologies have usually combined the dynamic object tracking and/or static feature extraction data into a point cloud towards the solution of these problems. However, there is the occurrence of minor initial position errors due to these methodologies. In this paper, the authors propose a fast and robust registration method that exhibits no need for the detection of any dynamic and/or static objects. This proposed methodology may be able to adapt to higher initial errors ...


Robust Entangled-Photon Ghost Imaging With Compressive Sensing, Jun Li, Wenyu Gao, Jiachuan Qian, Qinghua Guo, Jiangtao Xi, Christian H. Ritz Jan 2019

Robust Entangled-Photon Ghost Imaging With Compressive Sensing, Jun Li, Wenyu Gao, Jiachuan Qian, Qinghua Guo, Jiangtao Xi, Christian H. Ritz

Faculty of Engineering and Information Sciences - Papers: Part B

This work experimentally demonstrates that the imaging quality of quantum ghost imaging (GI) with entangled photons can be significantly improved by properly handling the errors caused by the imperfection of optical devices. We also consider compressive GI to reduce the number of measurements and thereby the data acquisition time. The image reconstruction is formulated as a sparse total least square problem which is solved with an iterative algorithm. Our experiments show that, compared with existing methods, the new method can achieve a significant performance gain in terms of mean square error and peak signal⁻noise ratio.


Grain Boundary Induced Deformation Mechanisms In Nanocrystalline Al By Molecular Dynamics Simulation: From Interatomic Potential Perspective, Liang Zhang, Yasushi Shibuta, Xiaoxu Huang, Cheng Lu, Mao Liu Jan 2019

Grain Boundary Induced Deformation Mechanisms In Nanocrystalline Al By Molecular Dynamics Simulation: From Interatomic Potential Perspective, Liang Zhang, Yasushi Shibuta, Xiaoxu Huang, Cheng Lu, Mao Liu

Faculty of Engineering and Information Sciences - Papers: Part B

Nanocrystalline metals exhibit many excellent mechanical properties and their underlying deformation mechanisms have been studying widespread. The well-designed atomistic simulations can predict the mechanical behavior of materials ahead of experiments and provide sufficient information on the atomic scale. The choice of appropriate interatomic potential is one of the main concerns of any atomistic simulation that needs to be seriously considered in order to obtain reliable results. In this study, we investigated the mechanical response and the deformation mechanisms of nanocrystalline Al under uniaxial loading by molecular dynamics (MD) simulations with different embedded atom method (EAM) interatomic potentials. The selection of ...


A Practical Protocol For The Experimental Design Of Comparative Studies On Water Treatment, Long Ho, Olivier Thas, Wout Van Echelpoel, Peter L. M Goethals Jan 2019

A Practical Protocol For The Experimental Design Of Comparative Studies On Water Treatment, Long Ho, Olivier Thas, Wout Van Echelpoel, Peter L. M Goethals

Faculty of Engineering and Information Sciences - Papers: Part B

The design and execution of effective and informative experiments in comparative studies on water treatment is challenging due to their complexity and multidisciplinarity. Often, environmental engineers and researchers carefully set up their experiments based on literature information, available equipment and time, analytical methods and experimental operations. However, because of time constraints but mainly missing insight, they overlook the value of preliminary experiments, as well as statistical and modeling techniques in experimental design. In this paper, the crucial roles of these overlooked techniques are highlighted in a practical protocol with a focus on comparative studies on water treatment optimization. By integrating ...


Accurate Magneto-Optical Determination Of Radius Of Topological Nodal-Ring Semimetals, Wenye Duan, Cuihong Yang, Zhongshui Ma, Yiming Zhu, C Zhang Jan 2019

Accurate Magneto-Optical Determination Of Radius Of Topological Nodal-Ring Semimetals, Wenye Duan, Cuihong Yang, Zhongshui Ma, Yiming Zhu, C Zhang

Faculty of Engineering and Information Sciences - Papers: Part B

The shape of the Fermi surface of topological nodal-ring semimetals at low carrier concentrations is characterized by the ring radius b/ℏvF. This peculiar topological property may not have a clear signature in measurable physical quantities. We demonstrate an accurate and definitive method to determine the radius of topological nodal-ring semimetals. Under a magnetic field along the ring axis, the axial magneto-optical response (σzz) has a giant peak. The position of this ultrastrong response is at the frequency of exactly 2b and is independent of the strength of the magnetic field. The amplitude of the peak response is many times ...


Research Incentive Programs For Closures Of Public And Private Grade Crossings, Julius Codjoe Dec 2018

Research Incentive Programs For Closures Of Public And Private Grade Crossings, Julius Codjoe

Publications

Vehicle-train crashes that occur at highway-rail crossings result in injuries, fatalities, and damage to equipment. In order to reduce the number of vehicle-train crashes, Federal Railroad Administration requires states which have challenges with crossing safety, including Louisiana, to develop a State Action Plan to improve grade crossing safety. Consequently, identification of specific solutions for improving safety at crossings was included in the 2015 Louisiana Transportation Plan as one of its objectives. This study seeks to identify and evaluate current and new incentive programs that encourage closure of at-grade railroad crossings to reduce the number of potential vehicle-train collision points, and ...


Crude Oil Prices Forecasting: Time Series Vs. Svr Models, Xin James He Dec 2018

Crude Oil Prices Forecasting: Time Series Vs. Svr Models, Xin James He

Journal of International Technology and Information Management

This research explores the weekly crude oil price data from U.S. Energy Information Administration over the time period 2009 - 2017 to test the forecasting accuracy by comparing time series models such as simple exponential smoothing (SES), moving average (MA), and autoregressive integrated moving average (ARIMA) against machine learning support vector regression (SVR) models. The main purpose of this research is to determine which model provides the best forecasting results for crude oil prices in light of the importance of crude oil price forecasting and its implications to the economy. While SVR is often considered the best forecasting model in ...


The Relationship Between Organizational Resources And Green It/S Adoption: A Rbv Approach, Lutfus Sayeed, Alberto Onetti Dec 2018

The Relationship Between Organizational Resources And Green It/S Adoption: A Rbv Approach, Lutfus Sayeed, Alberto Onetti

Journal of International Technology and Information Management

ABSTRACT

The objective of the present study was to empirically explore the impact of the implementation of Green IT/S measures on organizational resources in the US and European firms. The study examined the influence of reconfiguration of resources within a firm while adopting various Green IT/S practices and technologies. Green IT/S implementation requires resource commitment from organizations (Bose and Luo, 2011). What are these resources and how do they affect the extent of Green IT/S measures adopted by businesses? Resource Based View (RBV) of the firm was used as the theoretical framework of the study. The ...


Enhancing Your Intelligence Agency Information Resource Iq: Pt. 4: National Geospatial Intelligence Agency (Ngia), National Intelligence University (Niu), And National Reconnaissance Office (Nro), Bert Chapman Nov 2018

Enhancing Your Intelligence Agency Information Resource Iq: Pt. 4: National Geospatial Intelligence Agency (Ngia), National Intelligence University (Niu), And National Reconnaissance Office (Nro), Bert Chapman

Libraries Faculty and Staff Presentations

Webinar presentation on publicly accessible information resources produced by the U.S. National Geospatial Intelligence Agency (NGIA), National Intelligence University (NIU), and National Reconnaissance Office. Places significant emphasis on missions of these agencies, their historical accomplishments, coverage of their educational activity, and information on the technologies they have used and are currently using to fulfill their institutional objectives.


Unmanned Aircraft Systems (Uas) In The Cyber Domain: Protecting Usa's Advanced Air Assets, Randall K. Nichols, Hans C. Mumm, Wayne D. Lonstein, Julie J.C.H. Ryan, Candice Carter Sep 2018

Unmanned Aircraft Systems (Uas) In The Cyber Domain: Protecting Usa's Advanced Air Assets, Randall K. Nichols, Hans C. Mumm, Wayne D. Lonstein, Julie J.C.H. Ryan, Candice Carter

NPP eBooks

Unmanned Aircraft Systems (UAS) are an integral part of the US national critical infrastructure. They must be protected from hostile intent or use to the same level as any other military or commercial asset involved in US national security. However, from the Spratly Islands to Djibouti to heartland America, the expanding Chinese Unmanned Aircraft Systems (UAS / Drone) industry has outpaced the US technologically and numerically on all fronts: military, commercial, and recreational.

Both countries found that there were large information security gaps in unmanned systems that could be exploited on the international cyber-security stage. Many of those gaps remain today ...


Enhancing Trust In The Cryptocurrency Marketplace: A Reputation Scoring Approach, Dan Freeman, Tim Mcwilliams, Sudip Bhattacharyya, Craig Hall, Pablo Peillard Aug 2018

Enhancing Trust In The Cryptocurrency Marketplace: A Reputation Scoring Approach, Dan Freeman, Tim Mcwilliams, Sudip Bhattacharyya, Craig Hall, Pablo Peillard

SMU Data Science Review

Trust is paramount for the effective operation of any monetary system. While the distributed architecture of blockchain technology on which cryptocurrencies operate has many benefits, the anonymity of users on the blockchain has provided criminal users an opportunity to hide both their identities and illicit activities. In this paper, we present a scoring mechanism for cryptocurrency users where the scores represent users’ trustworthiness as safe or risky transactors in the cryptocurrency community. In order to distinguish law-abiding users from potential threats in the Bitcoin marketplace, we analyze historical thefts to profile transactions, classify them into risky and non-risky categories using ...


Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels Aug 2018

Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels

SMU Data Science Review

In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that ...


Initial Testing Of A Pixelated Silicon Detector Prototype In Proton Therapy, Andrew J. Wroe, Grant Mcauley, Anthony Teran, Jeannie Hsiu Ding Wong, Marco Petasecca, Michael L. F Lerch, James M. Slater, Anatoly B. Rosenfeld Aug 2018

Initial Testing Of A Pixelated Silicon Detector Prototype In Proton Therapy, Andrew J. Wroe, Grant Mcauley, Anthony Teran, Jeannie Hsiu Ding Wong, Marco Petasecca, Michael L. F Lerch, James M. Slater, Anatoly B. Rosenfeld

James Slater, MD

As technology continues to develop, external beam radiation therapy is being employed, with increased conformity, to treat smaller targets. As this occurs, the dosimetry methods and tools employed to quantify these fields for treatment also have to evolve to provide increased spatial resolution. The team at the University of Wollongong has developed a pixelated silicon detector prototype known as the dose magnifying glass (DMG) for real-time small-field metrology. This device has been tested in photon fields and IMRT. The purpose of this work was to conduct the initial performance tests with proton radiation, using beam energies and modulations typically associated ...


Determination Of Takeoff And Landing Distances Using An Ipad Performance Application For The Diamond Da40, Tyler A. Babb, Christina Hiers Aug 2018

Determination Of Takeoff And Landing Distances Using An Ipad Performance Application For The Diamond Da40, Tyler A. Babb, Christina Hiers

International Journal of Aviation, Aeronautics, and Aerospace

All pilots are required to calculate aircraft performance parameters prior to flight. This includes takeoff and landing distances. Traditionally, pilots in training have planned for takeoff and landing performance using paper charts provided by the manufacturer. However, professional pilots use devices such as Flight Management Systems (FMS), Electronic Flight Bag (EFB) applications, or on-board performance computers (OPC) to make such calculations. During primary flight training, student pilots could make performance calculations with proper software, similar to the method they will typically use at the professional level. Recently an iPad application was released which can calculate numerous performance parameters for specific ...


Common Carriage’S Domain, Christopher S. Yoo Jun 2018

Common Carriage’S Domain, Christopher S. Yoo

Faculty Scholarship at Penn Law

The judicial decision invalidating the Federal Communications Commission’s first Open Internet Order has led advocates to embrace common carriage as the legal basis for network neutrality. In so doing, network neutrality proponents have overlooked the lessons from the history and the academic literature on common carriage. This Essay distills these learnings into five factors that play a key role in promoting common carriage’s success: (1) commodity products, (2) simple interfaces, (3) stability and uniformity in the transmission technology, (4) deployment of the transmission network, and (5) stable demand and market shares. Applying this framework to the Internet suggests ...


Book Review: Fundamentals Of International Aviation, Alan Bender Jun 2018

Book Review: Fundamentals Of International Aviation, Alan Bender

International Journal of Aviation, Aeronautics, and Aerospace

Not applicable.


Desalination Concentrate Disposal: Ecological Effects And Sustainable Solutions, Ryan Hanley Jun 2018

Desalination Concentrate Disposal: Ecological Effects And Sustainable Solutions, Ryan Hanley

Global Honors Theses

Freshwater availability is a growing global concern, and desalination is often presented as the solution, but from this important technology comes issues of toxic waste. Ecosystems are delicate areas that contain species adapted to that specific location, and any chemical or physical changes can disrupt the fitness of species. The concentrate byproduct waste from desalination plants is toxic to species if the concentrate is not compatible with the receiving water body. A critical review of scientific articles, industry-leading books, conversations with industry experts, and information from the American Membrane Technology Association conference was used to analyze the current knowledge. Species ...


Sensor Technologies For Intelligent Transportation Systems, Juan Guerrero-Ibáñez, Sherali Zeadally, Juan Contreras-Castillo Apr 2018

Sensor Technologies For Intelligent Transportation Systems, Juan Guerrero-Ibáñez, Sherali Zeadally, Juan Contreras-Castillo

Information Science Faculty Publications

Modern society faces serious problems with transportation systems, including but not limited to traffic congestion, safety, and pollution. Information communication technologies have gained increasing attention and importance in modern transportation systems. Automotive manufacturers are developing in-vehicle sensors and their applications in different areas including safety, traffic management, and infotainment. Government institutions are implementing roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. By seamlessly integrating vehicles and sensing devices, their sensing and communication capabilities can be leveraged to achieve smart and intelligent transportation systems. We discuss how sensor technology can be integrated with the ...


Resilience And Sustainability In The Management Of Landslides, Phillip N. Flentje, Robin N. Chowdhury Jan 2018

Resilience And Sustainability In The Management Of Landslides, Phillip N. Flentje, Robin N. Chowdhury

Faculty of Engineering and Information Sciences - Papers: Part A

There are many regions worldwide which are susceptible to landslides, which cause loss of life and adverse impacts to infrastructure, environment and communities. Landslides are often triggered by exceptional rainfall and large-magnitude earthquakes. A range of strategies and methods have been developed to mitigate the occurrence of landslides and to reduce their impact, including risk to human safety. The adopted approaches and systems must be sustainable and resilient in relation to the communities that are at risk. This paper refers to an Australian regional case study of urban landslide management in the Wollongong region, New South Wales. The research carried ...


Assessing Learning Outcomes Of A Mooc Incorporated Into An On-Campus Management Information Systems Class, Manying Qiu, Yaquan Xu Jan 2018

Assessing Learning Outcomes Of A Mooc Incorporated Into An On-Campus Management Information Systems Class, Manying Qiu, Yaquan Xu

Journal of International Technology and Information Management

Massive open source online course (MOOC) platform enables enterprises to introduce their new innovations and deliver basic knowledge to handle the new products. We incorporated an openSAP course into a management information systems (MIS) class. Students learned the latest development of SAP customer relationship management (CRM) solutions along with the SAP enterprise resource planning (ERP) business processes integration that they learned in the classroom. 46.2% of the students obtained Record of Achievement and Confirmation of Participation certificates, which is higher than the average success rate of MOOCs. More importantly, the students experienced a way of sustainable and lifelong learning.