Verifiably Encrypted Cascade-Instantiable Blank Signatures To Secure Progressive Decision Management,
2018
Singapore Management University
Verifiably Encrypted Cascade-Instantiable Blank Signatures To Secure Progressive Decision Management, Yujue Wang, Hwee Hwa Pang, Robert H. Deng
Research Collection School Of Computing and Information Systems
In this paper, we introduce the notion of verifiably encrypted cascade-instantiable blank signatures (CBS) in a multi-user setting. In CBS, there is a delegation chain that starts with an originator and is followed by a sequence of proxies. The originator creates and signs a template, which may comprise fixed fields and exchangeable fields. Thereafter, each proxy along the delegation chain is able to make an instantiation of the template from the choices passed down from her direct predecessor, before generating a signature for her instantiation. First, we present a non-interactive basic CBS construction that does not rely on any shared …
Social Stream Classification With Emerging New Labels,
2018
Nanjing University
Social Stream Classification With Emerging New Labels, Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou
Research Collection School Of Computing and Information Systems
As an important research topic with well-recognized practical values, classification of social streams has been identified with increasing popularity with social data, such as the tweet stream generated by Twitter users in chronological order. A salient, and perhaps also the most interesting, feature of such user-generated content is its never-failing novelty, which, unfortunately, would challenge most traditional pre-trained classification models as they are built based on fixed label set and would therefore fail to identify new labels as they emerge. In this paper, we study the problem of classification of social streams with emerging new labels, and propose a novel …
Libraryguru: Api Recommendation For Android Developers,
2018
Singapore Management University
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 …
A Proposal For A Decentralized Liquidity Savings Mechanism With Side Payments,
2018
Singapore Management University
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 …
Applying Spatial Database Techniques To Other Domains: A Case Study On Top-K And Computational Geometric Operators,
2018
Singapore Management University
Applying Spatial Database Techniques To Other Domains: A Case Study On Top-K And Computational Geometric Operators, Kyriakos Mouratidis
Research Collection School Of Computing and Information Systems
In this seminar, we will explore how processing rich spatial data is not the only practical (and research-wise promising) application domain for traditional spatial database techniques. An equally promising direction, possibly with low-hanging fruits for research innovation, may be to apply the spatial data management expertise of our community to non-spatial types of queries, and to extend standard, more theoretical operators to large scale datasets with the objective of practical solutions (as opposed to favorable asymptotic complexity alone). As a case study, we will review spatial database work on top-k-related operators (i.e., non-spatial problems) and how it integrates fundamental computational …
On The Fintech Revolution: Interpreting The Forces Of Innovation, Disruption And Transformation In Financial Services,
2018
Goethe University
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 …
An Economic Analysis Of Disintermediation On Crowdfunding Platforms,
2018
University of Texas at Dallas
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 …
Crrn: Multi-Scale Guided Concurrent Reflection Removal Network,
2018
Singapore Management University
Crrn: Multi-Scale Guided Concurrent Reflection Removal Network, Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
Research Collection School Of Computing and Information Systems
Removing the undesired reflections from images taken through the glass is of broad application to various computer vision tasks. Non-learning based methods utilize different handcrafted priors such as the separable sparse gradients caused by different levels of blurs, which often fail due to their limited description capability to the properties of real-world reflections. In this paper, we propose the Concurrent Reflection Removal Network (CRRN) to tackle this problem in a unified framework. Our proposed network integrates image appearance information and multi-scale gradient information with human perception inspired loss function, and is trained on a new dataset with 3250 reflection images …
Covariance Pooling For Facial Expression Recognition,
2018
Singapore Management University
Covariance Pooling For Facial Expression Recognition, D. Acharya, Zhiwu Huang, D. Paudel, Gool L. Van
Research Collection School Of Computing and Information Systems
Classifying facial expressions into different categories requires capturing regional distortions of facial landmarks. We believe that second-order statistics such as covariance is better able to capture such distortions in regional facial features. In this work, we explore the benefits of using a manifold network structure for covariance pooling to improve facial expression recognition. In particular, we first employ such kind of manifold networks in conjunction with traditional convolutional networks for spatial pooling within individual image feature maps in an end-to-end deep learning manner. By doing so, we are able to achieve a recognition accuracy of 58.14% on the validation set …
Column Generation Approach For Feeder Vessel Routing And Synchronization At A Congested Transshipment Port,
2018
Singapore Management University
Column Generation Approach For Feeder Vessel Routing And Synchronization At A Congested Transshipment Port, Jian G. Jin, Qiang Meng, Hai Wang
Research Collection School Of Computing and Information Systems
With increasing container-shipping traffic in major transshipment ports, unsynchronized shipping services at hub ports usually lead to loss of transshipment connections, significant vessel port-stay time, and congestion. This calls for the design of feeder vessel services to pick up from and deliver containers to neighboring local ports, and, at the same time, synchronize them with long-haul services in a manner that enables efficient container transshipment. In this paper, we present a mixed integer linear programming model to optimize the feeder vessel routes and hub port synchronization with an objective to minimize the total operating and connection cost. We exploit the …
From 2,772 Segments To Five Personas: Summarizing A Diverse Online Audience By Generating Culturally Adapted Personas,
2018
Singapore Management University
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 …
Assessing The Accuracy Of Four Popular Face Recognition Tools For Inferring Gender, Age, And Race,
2018
Singapore Management University
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 …
Automatically Conceptualizing Social Media Analytics Data Via Personas,
2018
Singapore Management University
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 …
How Does Developer Interaction Relate To Software Quality? An Examination Of Product Development Data,
2018
Singapore Management University
How Does Developer Interaction Relate To Software Quality? An Examination Of Product Development Data, Subhajit Datta
Research Collection School Of Computing and Information Systems
Industrial software systems are being increasingly developed by large and distributed teams. Tools like collaborative development environments (CDE) are used to facilitate interaction between members of such teams, with the expectation that social factors around the interaction would facilitate team functioning. In this paper, we first identify typically social characteristics of interaction in a software development team: reachability, connection, association, and clustering. We then examine how these factors relate to the quality of software produced by a team, in terms of the number of defects, through an empirical study of 70+ teams, involving 900+ developers in total, spread across 30+ …
Virtual Smarts - Optimizing The Coalescing Of People For Collective Action Within Urban Communities,
2018
New Jersey Institute of Technology
Virtual Smarts - Optimizing The Coalescing Of People For Collective Action Within Urban Communities, Stephen Thomas Ricken
Dissertations
Despite the importance of individuals coming together for social group-activities (e.g., pick-up volleyball), the process by which such groups coalesce is poorly understood, and as a consequence is poorly supported by technology. This is despite the emergence of Event-Based Social Network (EBSN) technologies that are specifically designed to assist group coalescing for social activities. Existing theories focus on group development in terms of norms and types, rather than the processes involved in initial group coalescence. This dissertation addresses this gap in the literature through four studies focusing on understanding the coalescing process for interest-based group activities within urban environments and …
Recta: Regulon Identification Based On
Comparative Genomics And Transcriptomics Analysis,
2018
Tianjin University,
Recta: Regulon Identification Based On Comparative Genomics And Transcriptomics Analysis, Xin Chen, Anjun Ma, Adam Mcdermaid, Hanyuan Zhang, Chao Liu, Huansheng Cao, Qin Ma
School of Computing: Faculty Publications
Regulons, which serve as co-regulated gene groups contributing to the transcriptional regulation of microbial genomes, have the potential to aid in understanding of underlying regulatory mechanisms. In this study, we designed a novel computational pipeline, regulon identification based on comparative genomics and transcriptomics analysis (RECTA), for regulon prediction related to the gene regulatory network under certain conditions. To demonstrate the effectiveness of this tool, we implemented RECTA on Lactococcus lactis MG1363 data to elucidate acid-response regulons. A total of 51 regulons were identified, 14 of which have computational-verified significance. Among these 14 regulons, five of them were computationally predicted to …
Semantic Data Storage In Information Systems,
2018
University of KwaZulu-Natal
Semantic Data Storage In Information Systems, Jean Vincent Fonou Dombeu, Raoul Kwuimi
The African Journal of Information Systems
The storage and retrieval of information are important functions of information systems (IS). These IS functions have been realized for decades, due to the maturity of the relational database technology. In recent years, the concept of Semantic Information System (SIS) has emerged as IS in which information is represented with explicit semantic based on its meaning rather than its syntax to enable its automatic and intelligent processing by computers. At present, there is a shortage of discussions on the topic of semantic data storage in IS as compared to the relational database storage counterpart. This study uses a combination of …
Trade-Offs Between Monetary Gain And Risk Taking In Cybersecurity Behavior,
2018
Singapore Management University
Trade-Offs Between Monetary Gain And Risk Taking In Cybersecurity Behavior, X. Zhan, Fiona Fui-Hoon Nah, M. Cheng
Research Collection School Of Computing and Information Systems
Phishers and hackers exploit users’ susceptibility to deception by providing incentives. This research focuses on studying the risk-taking behavior of users in downloading software from the Internet. We proposed an experimental study to assess the degree of risks that people are willing to take for monetary gains when they download software from uncertified sources.
Cslc Tutoring Portal,
2018
University of Nebraska at Omaha
Cslc Tutoring Portal, Brian Hodges
Theses/Capstones/Creative Projects
A web portal designed for the Computer Science Learning Center to track students requesting help
Ai: Augmentation, More So Than Automation,
2018
Singapore Management University
Ai: Augmentation, More So Than Automation, Steven M. Miller
Asian Management Insights
The take-up of Artificial Intelligence (AI)-enabled systems in organisations is expanding rapidly. Integrating AI-enabled automation with people into workplace processes and societal systems is a complex and evolving challenge. The articles takes a managerial perspective on how firms can effectively deploy human minds and intelligent machines in the workplace.
