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Research Collection School Of Computing and Information Systems

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Articles 4201 - 4230 of 8481

Full-Text Articles in Computer Sciences

Poster: Understanding The Role Of Reporting In Work Item Tracking Systems For Software Development: An Industrial Case Study, Kochhar Pavneet Singh, Stanislaw Swierc, Trevor Carnahan, Hitesh S. Sajnani, Meiyappan Nagappan Jun 2018

Poster: Understanding The Role Of Reporting In Work Item Tracking Systems For Software Development: An Industrial Case Study, Kochhar Pavneet Singh, Stanislaw Swierc, Trevor Carnahan, Hitesh S. Sajnani, Meiyappan Nagappan

Research Collection School Of Computing and Information Systems

Work item tracking systems such as Visual Studio Team Services, JIRA, and GitHub issue tracker are widely used by software engineers. They help in managing different kinds of deliverables (e.g.features, user stories, bugs), plan sprints, distribute tasks across the team and prioritize the work. While these tools provide reporting capabilities there has been little research into the role these reports play in the overall software development process. In this study, we conduct an empirical investigation on the usage of Analytics Service-A reporting service provided by Visual Studio Team Services (VSTS) to build dashboards and reports out of their work item …

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Libraryguru: Api Recommendation For Android Developers, Weizhao Yuan, Hoang H. Nguyen, Lingxiao Jiang, Yuting Chen Jun 2018

Libraryguru: Api Recommendation For Android Developers, Weizhao Yuan, Hoang H. Nguyen, Lingxiao Jiang, Yuting Chen

Research Collection School Of Computing and Information Systems

Developing modern mobile applications often require the uses of many libraries specific for the mobile platform, which can be overwhelmingly too many for application developers to find what are needed for a functionality and where and how to use them properly. This paper presents a tool, named LibraryGuru, to recommend suitable Android APIs for given functionality descriptions. It not only recommends functional APIs that can be invoked for implementing the functionality, but also recommends event callback APIs that are inherent in the Android framework and need to be overridden in the application. LibraryGuru internally builds correlation databases among various functionality …

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A Proposal For A Decentralized Liquidity Savings Mechanism With Side Payments, Adam Fugal, Rodney Garratt, Zhiling Guo, Dave Hudson Jun 2018

A Proposal For A Decentralized Liquidity Savings Mechanism With Side Payments, Adam Fugal, Rodney Garratt, Zhiling Guo, Dave Hudson

Research Collection School Of Computing and Information Systems

In most countries, the central bank provides the medium to physically settle the smallest payments (cash) and the means to electronically settle the largest payments, which typically are wholesale payments between banks. For the latter purpose the central bank usually operates a system through which banks can settle payments in central bank money. Historically, interbank payments were settled via (end of day) netting systems, but as volumes and values increased central banks became worried about the risks inherent in deferred net settlement systems, so most central banks opted for the implementation of a Real Time Gross Settlement (RTGS) system. With …

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Survey Of Randomization Defenses On Cloud Computing, Jianming Fu, Yan Lin, Xiuwen Liu, Xu Zhang Jun 2018

Survey Of Randomization Defenses On Cloud Computing, Jianming Fu, Yan Lin, Xiuwen Liu, Xu Zhang

Research Collection School Of Computing and Information Systems

Cloud computing has changed the processing mode on resources of individuals and industries by providing computing and storage services to users. However, existing defenses on cloud, such as virtual machine monitoring and integrity detection, cannot counter against attacks result from the homogeneity and vulnerability of services effectively. In this paper, we have investigated the threats on cloud computing platform from the perspective of cloud service, service interface and network interface, such as code reuse attack, side channel attack and SQL injection. Code reuse attack chains code snippets (gadgets) located in binaries to bypass Data Execution Prevention (DEP). Side channel attack …

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D-Pruner: Filter-Based Pruning Method For Deep Convolutional Neural Network, Nguyen Loc Huynh, Youngki Lee, Rajesh Krishna Balan Jun 2018

D-Pruner: Filter-Based Pruning Method For Deep Convolutional Neural Network, Nguyen Loc Huynh, Youngki Lee, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

The emergence of augmented reality devices such as Google Glass and Microsoft Hololens has opened up a new class of vision sensing applications. Those applications often require the ability to continuously capture and analyze contextual information from video streams. They often adopt various deep learning algorithms such as convolutional neural networks (CNN) to achieve high recognition accuracy while facing severe challenges to run computationally intensive deep learning algorithms on resource-constrained mobile devices. In this paper, we propose and explore a new class of compression technique called D-Pruner to efficiently prune redundant parameters within a CNN model to run the model …

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Optimization Of A Cyclic Express Subway Service, Hai Wang, Jiangang Jin, Jingfeng Yang Jun 2018

Optimization Of A Cyclic Express Subway Service, Hai Wang, Jiangang Jin, Jingfeng Yang

Research Collection School Of Computing and Information Systems

With rapid population growth and increasing demand for urban mobility, metropolitan areas such as Singapore, Tokyo, and Shanghai are increasingly dependent on public transport systems. Various strategies are proposed to improve the service quality and capacity of bus and subway systems. Express trains-i.e., trains that skip certain stations-are commonly used, because they can travel at higher speeds, potentially reduce travel time, and serve more passengers. In this paper, we study cyclic express subway service (CESS), in which express trains provide routine transport service with cyclic (periodic) station-skip patterns that can be used in daily service. We propose an exact Mixed …

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D-Pruner: Filter-Based Pruning Method For Deep Convolutional Neural Network, Nguyen Loc Huynh, Youngki Lee, Rajesh Krishna Balan Jun 2018

D-Pruner: Filter-Based Pruning Method For Deep Convolutional Neural Network, Nguyen Loc Huynh, Youngki Lee, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

The emergence of augmented reality devices such as Google Glass and Microsoft Hololens has opened up a new class of vision sensing applications. Those applications often require the ability to continuously capture and analyze contextual information from video streams. They often adopt various deep learning algorithms such as convolutional neural networks (CNN) to achieve high recognition accuracy while facing severe challenges to run computationally intensive deep learning algorithms on resource-constrained mobile devices. In this paper, we propose and explore a new class of compression technique called D-Pruner to efficiently prune redundant parameters within a CNN model to run the model …

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Position Manipulation Attacks To Balise-Based Train Automatic Stop Control, Yongdong Wu, Zhuo Wei, Jian Weng, Robert H. Deng Jun 2018

Position Manipulation Attacks To Balise-Based Train Automatic Stop Control, Yongdong Wu, Zhuo Wei, Jian Weng, Robert H. Deng

Research Collection School Of Computing and Information Systems

Balise is a popular wayside device to provide accurate location information for subway station parking by sending telegrams to passing trains. By craftily disturbing wireless signals of balise telegrams, this paper proposes three attacks that may make passengers fall and even cause injury. Concretely, the first attack is to jam telegrams such that balises cannot be detected by a passing train; the second attack changes the location of transmitting telegrams by jamming and replaying; and the third attack is to change the total time of transmitting telegrams. All the attacks exploit the train localization mechanism such that a passing train …

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An Economic Analysis Of Disintermediation On Crowdfunding Platforms, Jianqing Chen, Ling Ge, Zhiling Guo Jun 2018

An Economic Analysis Of Disintermediation On Crowdfunding Platforms, Jianqing Chen, Ling Ge, Zhiling Guo

Research Collection School Of Computing and Information Systems

Prosocial crowdfunding platforms can work through direct peer-to-peer (P2P) lending or through intermediaries, incurring different costs to borrowers and lenders. This study investigates the incentives of lenders and borrowers’ and how they would choose between the two types of platforms. We model the intermediary as a profit maximizer who filters projects, provides high quality borrowers with access to the platform, and ensures repayment rate to lenders. Our initial findings suggest that the introduction of direct P2P lending platform enables the intermediary to reduce its interest rate and to raise its screening threshold on the intermediated platform. The P2P lending platform …

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Annapurna: Building A Real-World Smartwatch-Based Automated Food Journal, Sougata Sen, Vigneshwaran Subbaraju, Archan Misra, Rajesh Krishna Balan, Youngki Lee Jun 2018

Annapurna: Building A Real-World Smartwatch-Based Automated Food Journal, Sougata Sen, Vigneshwaran Subbaraju, Archan Misra, Rajesh Krishna Balan, Youngki Lee

Research Collection School Of Computing and Information Systems

We describe the design and implementation of a smartwatch-based, completely unobtrusive, food journaling system, where the smartwatch helps to intelligently capture useful images of food that an individual consumes throughout the day. The overall system, called Annapurna, is based on three key components: (a) a smartwatch-based gesture recognizer to identify eating gestures, (b) a smartwatch-based image capturer that obtains a small set of relevant and useful images with a low energy overhead, and (c) a server-based image filtering engine that removes irrelevant uploaded images, and then catalogs them through a portal. Our primary challenge is to make the system robust …

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Fimce: A Fully Isolated Micro-Computing Environment For Multicore Systems, Siqi Zhao, Xuhua Ding Jun 2018

Fimce: A Fully Isolated Micro-Computing Environment For Multicore Systems, Siqi Zhao, Xuhua Ding

Research Collection School Of Computing and Information Systems

Virtualization-based memory isolation has been widely used as a security primitive in various security systems to counter kernel-level attacks. In this article, our in-depth analysis on this primitive shows that its security is significantly undermined in the multicore setting when other hardware resources for computing are not enclosed within the isolation boundary. We thus propose to construct a fully isolated micro-computing environment (FIMCE) as a new primitive. By virtue of its architectural niche, FIMCE not only offers stronger security assurance than its predecessor, but also features a flexible and composable environment with support for peripheral device isolation, thus greatly expanding …

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On The Fintech Revolution: Interpreting The Forces Of Innovation, Disruption And Transformation In Financial Services, Peter Gomber, Robert J. Kauffman, Chris Parker, Bruce W. Weber Jun 2018

On The Fintech Revolution: Interpreting The Forces Of Innovation, Disruption And Transformation In Financial Services, Peter Gomber, Robert J. Kauffman, Chris Parker, Bruce W. Weber

Research Collection School Of Computing and Information Systems

Firms in the financial services industry have been faced with the dramatic and relatively recentemergence of new technology innovations, and process disruptions. The industry as a whole, and many newfintech start-ups are looking for new pathways to successful business models, the creation of enhanced customerexperience, and new approaches that result in services transformation. Industry and academic observers believethis to be more of a revolution than a set of less impactful changes, with financial services as a whole due formajor improvements in efficiency, in customer centricity and informedness. The long-standing dominance ofleading firms that are not able to figure out how …

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Instance-Specific Selection Of Aos Methods For Solving Combinatorial Optimisation Problems Via Neural Networks, Teck Hou (Deng Dehao) Teng, Hoong Chuin Lau, Aldy Gunawan Jun 2018

Instance-Specific Selection Of Aos Methods For Solving Combinatorial Optimisation Problems Via Neural Networks, Teck Hou (Deng Dehao) Teng, Hoong Chuin Lau, Aldy Gunawan

Research Collection School Of Computing and Information Systems

Solving combinatorial optimization problems using a fixed set of operators has been known to produce poor quality solutions. Thus, adaptive operator selection (AOS) methods have been proposed. But, despite such effort, challenges such as the choice of suitable AOS method and configuring it correctly for given specific problem instances remain. To overcome these challenges, this work proposes a novel approach known as I-AOS-DOE to perform Instance-specific selection of AOS methods prior to evolutionary search. Furthermore, to configure the AOS methods for the respective problem instances, we apply a Design of Experiment (DOE) technique to determine promising regions of parameter values …

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Scale Impacts Elicited Gestures For Manipulating Holograms: Implications For Ar Gesture Design, Tran Pham, Jo Vermeulen, Anthony Tang, Lindsay Macdonald Jun 2018

Scale Impacts Elicited Gestures For Manipulating Holograms: Implications For Ar Gesture Design, Tran Pham, Jo Vermeulen, Anthony Tang, Lindsay Macdonald

Research Collection School Of Computing and Information Systems

Because gesture design for augmented reality (AR) remains idiosyncratic, people cannot necessarily use gestures learned in one AR application in another. To design discoverable gestures, we need to understand what gestures people expect to use. We explore how the scale of AR affects the gestures people expect to use to interact with 3D holograms. Using an elicitation study, we asked participants to generate gestures in response to holographic task referents, where we varied the scale of holograms from desktop-scale to room-scale objects. We found that the scale of objects and scenes in the AR experience moderates the generated gestures. Most …

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Disentangled Person Image Generation, Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz Jun 2018

Disentangled Person Image Generation, Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz

Research Collection School Of Computing and Information Systems

Generating novel, yet realistic, images of persons is a challenging task due to the complex interplay between the different image factors, such as the foreground, background and pose information. In this work, we aim at generating such images based on a novel, two-stage reconstruction pipeline that learns a disentangled representation of the aforementioned image factors and generates novel person images at the same time. First, a multi-branched reconstruction network is proposed to disentangle and encode the three factors into embedding features, which are then combined to re-compose the input image itself. Second, three corresponding mapping functions are learned in an …

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Deep Adversarial Subspace Clustering, Pan Zhou, Yunqing Hou, Jiashi Feng Jun 2018

Deep Adversarial Subspace Clustering, Pan Zhou, Yunqing Hou, Jiashi Feng

Research Collection School Of Computing and Information Systems

Most existing subspace clustering methods hinge on self-expression of handcrafted representations and are unaware of potential clustering errors. Thus they perform unsatisfactorily on real data with complex underlying subspaces. To solve this issue, we propose a novel deep adversarial subspace clustering (DASC) model, which learns more favorable sample representations by deep learning for subspace clustering, and more importantly introduces adversarial learning to supervise sample representation learning and subspace clustering. Specifically, DASC consists of a subspace clustering generator and a quality-verifying discriminator, which learn against each other. The generator produces subspace estimation and sample clustering. The discriminator evaluates current clustering performance …

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Movespace: On-Body Athletic Interaction For Running And Cycling, Velko Vechev, Alexandru Dancu, Simon T. Perrault, Quentin Xavier Louis Roy, Morten Fjeld, Shengdong Zhao Jun 2018

Movespace: On-Body Athletic Interaction For Running And Cycling, Velko Vechev, Alexandru Dancu, Simon T. Perrault, Quentin Xavier Louis Roy, Morten Fjeld, Shengdong Zhao

Research Collection School Of Computing and Information Systems

Wearables are increasingly used during training to quantify performance and provide valuable real-time information. However, interacting with these devices in motion may disrupt the movements of the activity. We propose a method of interaction involving tapping specific locations on the body, identify candidate locations for running and cycling, and compare them in a series of controlled experiments with athletes. A purpose-built prototype measures speed of interaction and gives feedback cues for athletes to report the physical effects on the activity itself. Our results suggest that specific locations are faster and have minimal disruption to movement, even under induced fatigue conditions. …

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Where Does Google Find Api Documentation?, Christoph Treude, Maurício Aniche Jun 2018

Where Does Google Find Api Documentation?, Christoph Treude, Maurício Aniche

Research Collection School Of Computing and Information Systems

The documentation of popular APIs is spread across many formats, from vendor-curated reference documentation to Stack Overflow threads. For developers, it is often not obvious from where a particular piece of information can be retrieved. To understand this documentation landscape, we systematically conducted Google searches for the elements of ten popular APIs. We found that their documentation is widely dispersed among many sources, that GitHub and Stack Overflow play a prominent role among the search results, and that most sources are quick to document new API functionalities. These findings inform API vendors about where developers find documentation about their products, …

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From 2,772 Segments To Five Personas: Summarizing A Diverse Online Audience By Generating Culturally Adapted Personas, Joni Salminen, Sercan Sengun, Haewoon Kwak, Bernard J. Jansen, Jisun An, Soon-Gyu Jung, Sarah Vieweg, D. Fox Harrell Jun 2018

From 2,772 Segments To Five Personas: Summarizing A Diverse Online Audience By Generating Culturally Adapted Personas, Joni Salminen, Sercan Sengun, Haewoon Kwak, Bernard J. Jansen, Jisun An, Soon-Gyu Jung, Sarah Vieweg, D. Fox Harrell

Research Collection School Of Computing and Information Systems

Understanding users in the era of social media is challenging, requiring organizations to adopt novel computation-aided approaches. To exemplify such an approach, we retrieved information on millions of interactions with YouTube video content from a major Middle Eastern media outlet, to automatically generate personas that capture how different audience segments interact with thousands of individual content pieces. Then, we used qualitative data to provide additional insights into the automatically generated persona profiles. Our findings provide insights into social media usage in the Middle East and demonstrate the application of a novel methodology that generates culturally adapted personas of social media …

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Assessing The Accuracy Of Four Popular Face Recognition Tools For Inferring Gender, Age, And Race, Soon-Gyu Jung, Jisun An, Haewoon Kwak, Joni Salminen, Bernard J. Jansen Jun 2018

Assessing The Accuracy Of Four Popular Face Recognition Tools For Inferring Gender, Age, And Race, Soon-Gyu Jung, Jisun An, Haewoon Kwak, Joni Salminen, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

In this research, we evaluate four widely used face detection tools, which are Face++, IBM Bluemix Visual Recognition, AWS Rekognition, and Microsoft Azure Face API, using multiple datasets to determine their accuracy in inferring user attributes, including gender, race, and age. Results show that the tools are generally proficient at determining gender, with accuracy rates greater than 90%, except for IBM Bluemix. Concerning race, only one of the four tools provides this capability, Face++, with an accuracy rate of greater than 90%, although the evaluation was performed on a high-quality dataset. Inferring age appears to be a challenging problem, as …

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Automatically Conceptualizing Social Media Analytics Data Via Personas, Jung S.G., Salminen J., An J., Kwak H., Jansen B.J. Jun 2018

Automatically Conceptualizing Social Media Analytics Data Via Personas, Jung S.G., Salminen J., An J., Kwak H., Jansen B.J.

Research Collection School Of Computing and Information Systems

Social media analytics is insightful but can also be difficult to use within organizations. To address this, we present Automatic Persona Generation (APG), a system and methodology for quantitatively generating personas using large amounts of online social media data. The APG system is operational, deployed in a pilot version with several organizations in multiple industry verticals. APG uses a robust web and stable back-end database framework to process tens of millions of user interactions with thousands of online digital products on multiple social media platforms, including Facebook and YouTube. APG identifies both distinct and impactful audience segments for an organization …

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Multi-Worker-Aware Task Planning In Real-Time Spatial Crowdsourcing, Qian Tao, Yuxiang Zeng, Zimu Zhou, Yongxin Tong, Lei Chen, Ke Xu May 2018

Multi-Worker-Aware Task Planning In Real-Time Spatial Crowdsourcing, Qian Tao, Yuxiang Zeng, Zimu Zhou, Yongxin Tong, Lei Chen, Ke Xu

Research Collection School Of Computing and Information Systems

Spatial crowdsourcing emerges as a new computing paradigm with the development of mobile Internet and the ubiquity of mobile devices. The core of many real-world spatial crowdsourcing applications is to assign suitable tasks to proper workers in real time. Many works only assign a set of tasks to each worker without making the plan how to perform the assigned tasks. Others either make task plans only for a single worker or are unable to operate in real time. In this paper, we propose a new problem called the Multi-Worker-Aware Task Planning (MWATP) problem in the online scenario, in which we …

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Finding All Nearest Neighbors With A Single Graph Traversal, Yixin Xu, Qi Jianzhong, Borovica‐Gajic Renata, Kulik Lars May 2018

Finding All Nearest Neighbors With A Single Graph Traversal, Yixin Xu, Qi Jianzhong, Borovica‐Gajic Renata, Kulik Lars

Research Collection School Of Computing and Information Systems

Finding the nearest neighbor is a key operation in data analysis and mining. An important variant of nearest neighbor query is the all nearest neighbor (ANN) query, which reports all nearest neighbors for a given set of query objects. Existing studies on ANN queries have focused on Euclidean space. Given the widespread occurrence of spatial networks in urban environments, we study the ANN query in spatial network settings. An example of an ANN query on spatial networks is finding the nearest car parks for all cars currently on the road. We propose VIVET, an index-based algorithm to efficiently process ANN …

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A Qualitative Research On Marketing And Sales In The Artificial Intelligence Age, Yin Yang, Keng Siau May 2018

A Qualitative Research On Marketing And Sales In The Artificial Intelligence Age, Yin Yang, Keng Siau

Research Collection School Of Computing and Information Systems

The age of artificial intelligence is here! Artificial Intelligence, robotics, machine learning, and automation are impacting the field of marketing and sales in an unprecedented way. In this study, the qualitative research methodology will be used to better understand the revolution and evolution of marketing and sales field in the AI age. Multiple case studies will be performed in various marketing and sales units in different organizations. This research is of value to both academics and practitioners as it aims to provide a detailed analysis and documentation of the changes in marketing and sales functionalities and job markets as AI …

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Neural Correlates Of States Of User Experience In Gaming Using Eeg And Predictive Analytics, Chandana Mallapragada, Fiona Fui-Hoon Nah, Keng Siau, Langtao Chen, Tejaswini Yelamanchili May 2018

Neural Correlates Of States Of User Experience In Gaming Using Eeg And Predictive Analytics, Chandana Mallapragada, Fiona Fui-Hoon Nah, Keng Siau, Langtao Chen, Tejaswini Yelamanchili

Research Collection School Of Computing and Information Systems

In this research, we will analyze EEG signals to obtain neural correlate classifications of user experience by applying predictive analytics. Boredom, flow, and anxiety are three states experienced by users interacting with a computer-based system. A within-subjects experiment was used to collect EEG data for these three states and a baseline. We will apply predictive analytics including linear regression, support vector machine, and neural networks to analyze and classify the EEG data for these three states of user experience.

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Sotorrent: Reconstructing And Analyzing The Evolution Of Stack Overflow Posts, Sebastian Baltes, Lorik Dumani, Christoph Treude, Stephan Diehl May 2018

Sotorrent: Reconstructing And Analyzing The Evolution Of Stack Overflow Posts, Sebastian Baltes, Lorik Dumani, Christoph Treude, Stephan Diehl

Research Collection School Of Computing and Information Systems

Stack Overflow (SO) is the most popular question-and-answer website for software developers, providing a large amount of code snippets and free-form text on a wide variety of topics. Like other software artifacts, questions and answers on SO evolve over time, for example when bugs in code snippets are fixed, code is updated to work with a more recent library version, or text surrounding a code snippet is edited for clarity. To be able to analyze how content on SO evolves, we built SOTorrent, an open dataset based on the official SO data dump. SOTorrent provides access to the version history …

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Finding Small-Bowel Lesions: Challenges In Endoscopy-Image-Based Learning Systems, Jungmo Ahn, Loc Nguyen Huynh, Rajesh Krishna Balan, Youngki Lee, Jeonggil Ko May 2018

Finding Small-Bowel Lesions: Challenges In Endoscopy-Image-Based Learning Systems, Jungmo Ahn, Loc Nguyen Huynh, Rajesh Krishna Balan, Youngki Lee, Jeonggil Ko

Research Collection School Of Computing and Information Systems

Capsule endoscopy identifies damaged areas in a patient's small intestine but often outputs poor-quality images or misses lesions, leading to either misdiagnosis or repetition of the lengthy procedure. The authors propose applying deep-learning models to automatically process the captured images and identify lesions in real time, enabling the capsule to take additional images of a specific location, adjust its focus level, or improve image quality. The authors also describe the technical challenges in realizing a viable automated capsule-endoscopy system.

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Breathing-Based Authentication On Resource-Constrained Iot Devices Using Recurrent Neural Networks, Jagmohan Chauhan, Suranga Seneviratne, Yining Hu, Archan Misra, Aruna Seneviratne, Youngki Lee May 2018

Breathing-Based Authentication On Resource-Constrained Iot Devices Using Recurrent Neural Networks, Jagmohan Chauhan, Suranga Seneviratne, Yining Hu, Archan Misra, Aruna Seneviratne, Youngki Lee

Research Collection School Of Computing and Information Systems

Recurrent neural networks (RNNs) have shown promising resultsin audio and speech-processing applications. The increasingpopularity of Internet of Things (IoT) devices makes a strongcase for implementing RNN-based inferences for applicationssuch as acoustics-based authentication and voice commandsfor smart homes. However, the feasibility and performance ofthese inferences on resource-constrained devices remain largelyunexplored. The authors compare traditional machine-learningmodels with deep-learning RNN models for an end-to-endauthentication system based on breathing acoustics.

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Understanding The Effects Of Taxi Ride-Sharing: A Case Study Of Singapore, Yazhe Wang, Baihua Zheng, Ee Peng Lim May 2018

Understanding The Effects Of Taxi Ride-Sharing: A Case Study Of Singapore, Yazhe Wang, Baihua Zheng, Ee Peng Lim

Research Collection School Of Computing and Information Systems

This paper studies the effects of ride-sharing among those calling on taxis in Singapore for similar origin and destination pairs at nearly the same time of day. It proposes a simple yet practical framework for taxi ride-sharing and scheduling, to reduce waiting times and travel times during peak demand periods. The solution method helps taxi users save money while helping taxi drivers serve multiple requests per day, thus increasing their earnings. A comprehensive simulation study is conducted, based on real taxi booking data for the city of Singapore, to evaluate the effect of various factors of the ride-sharing practice, e.g., …

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Factors Influencing The Adoption Of Smart Wearable Devices, Apurva Adapa, Fiona Fui-Hoon Nah, Richard H. Hall, Keng Siau, Samuel Smith May 2018

Factors Influencing The Adoption Of Smart Wearable Devices, Apurva Adapa, Fiona Fui-Hoon Nah, Richard H. Hall, Keng Siau, Samuel Smith

Research Collection School Of Computing and Information Systems

This article examined factors associated with the adoption of smart wearable devices. More specifically, this research explored the contributing and inhibiting factors that influence the adoption of wearable devices through in-depth interviews. The laddering approach was used in the interviews to identify not only the factors but also their relationships to underlying values. The wearable devices examined were a Smart Glass (Google Glass) and a Smart Watch (Sony Smart Watch 3). Two user groups, college students and working professionals, participated in the study. After the participants had the opportunity to try out each of the two devices, the factors that …

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