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Articles 8101 - 8130 of 10509
Full-Text Articles in Entire DC Network
Does Complexity Deter Customer-Focus?, Sendil K. Ethiraj, Narayanasamy Ramasubbu, M. S. Krishnan
Does Complexity Deter Customer-Focus?, Sendil K. Ethiraj, Narayanasamy Ramasubbu, M. S. Krishnan
Research Collection School Of Computing and Information Systems
Economic models suggest that firms use a simple cost-benefit calculation to evaluate customer requests for new product features, but an extensive organizational literature shows the decision to implement innovation is more nuanced. We address this theoretical tension by studying how firms respond to customer requests for incremental product innovations, and how these responses change when the requested innovation is complex. Using large sample empirical analyses combined with detailed qualitative data drawn from interviews, we find considerable variance in the relationship between customer demands, complexity, and investments in incremental innovations. The qualitative study revealed the importance of organization structures, competitive pressures, …
Arivu: Making Networked Mobile Games Green: A Scalable Power-Aware Middleware, Anand Bhojan, Ananda L. Akhihebbal L., Mun Choon Chan, Rajesh Krishna Balan
Arivu: Making Networked Mobile Games Green: A Scalable Power-Aware Middleware, Anand Bhojan, Ananda L. Akhihebbal L., Mun Choon Chan, Rajesh Krishna Balan
Research Collection School Of Computing and Information Systems
With the improved processing power, graphic quality and high-speed wireless connection in recent generations of mobile phones, it looks more attractive than ever to introduce networked games on these devices. However, these games consume higher levels of energy. While device features and application resource requirements are rapidly growing, the battery technologies are not growing at the same pace. Therefore, the main concern is the limitation of the battery power of such portable devices to support potentially long-hour of game play. In this paper we present ARIVU, a scalable power aware middleware that dynamically controls the energy consumption of wireless interface …
Manipulation Of Online Reviews: An Analysis Of Ratings, Readability, And Sentiments, Nan Hu, Indranil Bose, Noi Sian Koh, Ling Liu
Manipulation Of Online Reviews: An Analysis Of Ratings, Readability, And Sentiments, Nan Hu, Indranil Bose, Noi Sian Koh, Ling Liu
Research Collection School Of Computing and Information Systems
As consumers become increasingly reliant on online reviews to make purchase decisions, the sales of the product becomes dependent on the word of mouth (WOM) that it generates. As a result, there can be attempts by firms to manipulate online reviews of products to increase their sales. Despite the suspicion on the existence of such manipulation, the amount of such manipulation is unknown, and deciding which reviews to believe in is largely based on the reader's discretion and intuition. Therefore, the success of the manipulation of reviews by firms in generating sales of products is unknown. In this paper, we …
Extreme Learning Machine Terrain-Based Navigation For Unmanned Aerial Vehicles, Ee May Kan, Meng Hiot Lim, Yew Soon Ong, Ah-Hwee Tan, Swee Ping Yeo
Extreme Learning Machine Terrain-Based Navigation For Unmanned Aerial Vehicles, Ee May Kan, Meng Hiot Lim, Yew Soon Ong, Ah-Hwee Tan, Swee Ping Yeo
Research Collection School Of Computing and Information Systems
Unmanned aerial vehicles (UAVs) rely on global positioning system (GPS) information to ascertain its position for navigation during mission execution. In the absence of GPS information, the capability of a UAV to carry out its intended mission is hindered. In this paper, we learn alternative means for UAVs to derive real-time positional reference information so as to ensure the continuity of the mission. We present extreme learning machine as a mechanism for learning the stored digital elevation information so as to aid UAVs to navigate through terrain without the need for GPS. The proposed algorithm accommodates the need of the …
Formal Modeling And Validation Of Stateflow Diagrams, Chunqing Chen, Jun Sun, Yang Liu, Jin Song Dong, Manchun Zheng
Formal Modeling And Validation Of Stateflow Diagrams, Chunqing Chen, Jun Sun, Yang Liu, Jin Song Dong, Manchun Zheng
Research Collection School Of Computing and Information Systems
Stateflow is an industrial tool for modeling and simulating control systems in model-based development. In this paper, we present our latest work on automatic verification of Stateflow using model-checking techniques. We propose an approach to systematically translate Stateflow diagrams to a formal modeling language called CSP# by precisely following Stateflow’s execution semantics, which is described by examples. A translator is developed inside the Process Analysis Toolkit (PAT) model checker to automate this process with the support of various Stateflow advanced modeling features. Formal analysis can be conducted on the transformed CSP# with PAT’s simulation and model-checking power. Using our approach, …
Deckard - A Tree-Based, Scalable, And Accurate Code Clone Detection Tool (Version 1.2.3), Lingxiao Jiang, Ghassan Misherghi, Zhendong Su, Stephane Glondu
Deckard - A Tree-Based, Scalable, And Accurate Code Clone Detection Tool (Version 1.2.3), Lingxiao Jiang, Ghassan Misherghi, Zhendong Su, Stephane Glondu
SMU Research Data
Deckard is a tree-based, scalable, and accurate code clone detection tool. It is also capable of reporting clone-related bugs. For more information, pls refer to readme.txt. The latest version is available from Deckard repository on Github. https://github.com/skyhover/Deckard
Financial Literacy And Numerical Ability: Keys To Better Mortgage Outcomes, Singapore Management University
Financial Literacy And Numerical Ability: Keys To Better Mortgage Outcomes, Singapore Management University
Perspectives@SMU
While mortgage credit expansion had lead to a rapid increase of home ownership in the US, the reversal of home prices beginning in 2006 resulted in a substantial increase in mortgage delinquencies and an explosion in outright defaults. Its devastating impact on the associated mortgage backed securities led the US and the world to its worst financial and macroeconomic crisis since the Great Depression, with its deleterious effects still felt today.
Privacy-Preserving Data Sharing In High Dimensional Regression And Classification Settings, Stephen E. Fienberg, Jiashun Jin
Privacy-Preserving Data Sharing In High Dimensional Regression And Classification Settings, Stephen E. Fienberg, Jiashun Jin
LARC Research Publications
We focus on the problem of multi-party data sharing in high dimensional data settings where the number of measured features (or the dimension) p is frequently much larger than the number of subjects (or the sample size) n, the so-called p>> n scenario that has been the focus of much recent statistical research. Here, we consider data sharing for two interconnected problems in high dimensional data analysis, namely the feature selection and classification. We characterize the notions of “cautious", “regular", and “generous" data sharing in terms of their privacy-preserving implications for the parties and their share of data, with focus …
Achieving Both Valid And Secure Logistic Regression Analysis On Aggregated Data From Different Private Sources, Yuval Nardi, Stephen Fienberg, Robert J. Hall
Achieving Both Valid And Secure Logistic Regression Analysis On Aggregated Data From Different Private Sources, Yuval Nardi, Stephen Fienberg, Robert J. Hall
LARC Research Publications
Preserving the privacy of individual databases when carrying out statistical calculations has a relatively long history in statistics and had been the focus of much recent attention in machine learning. In this paper, we present a protocol for fitting a logistic regression when the data are held by separate parties - without actually combining information sources - by exploiting results from the literature on multi-party secure computation. Our protocol provides only the final result of the calculation compared with other methods that share intermediate values and thus present an opportunity for compromise of values in the individual databases. Our paper …
Sense And Sustainability, Ken Hickson
Sense And Sustainability, Ken Hickson
Social Space
Like the proverbial chicken and egg, climate change and sustainability are inextricably linked; it is impossible to decide which comes first, but urgent solutions are needed. Ken Hickson delivers a timely lesson on the four E’s of sustainability—energy, environment, economics and ethics.
Financial Literacy And Numerical Ability: Keys To Better Mortgage Outcomes, Knowledge@Smu
Financial Literacy And Numerical Ability: Keys To Better Mortgage Outcomes, Knowledge@Smu
Knowledge@SMU
The US mortgage crisis and its dire after effects have highlighted the criticality of financial literacy. And while most people would have picked up fundamental mathematical principles in schools, not everyone appreciates how arithmetic translates within the complex world of finance. Yet, given what has transpired with the subprime crisis, is it important for borrowers to appreciate complicated financial concepts before taking up a loan? A study of the US mortgage market, presented at a SMU School of Economics Seminar Series, provides some clues as it uncovers links between basic numerical skills and financial fate.
The Legitimacy Of The Business Of Business Schools: What's The Future?, David C. Wilson, Howard Thomas
The Legitimacy Of The Business Of Business Schools: What's The Future?, David C. Wilson, Howard Thomas
Research Collection Lee Kong Chian School Of Business
The purpose of this paper is to examine some challenges facing business schools and their continued legitimacy. Particular attention is paid to the problems of accreditation, regulation and rankings and how these constrain strategic choice. The paper builds on existing literature to provide an analytical overview of the challenges currently facing business schools. The paper assesses the current context of business schools and assesses to what extent they are becoming less relevant both in terms of practice and theories. It suggests changes business schools might make in order to increase relevance. The paper suggests that business schools should change their …
Order-Picking By Cellular Bucket Brigades: A Case Study, Yun Fong Lim
Order-Picking By Cellular Bucket Brigades: A Case Study, Yun Fong Lim
Research Collection Lee Kong Chian School Of Business
Assigning products to and retrieving them from proper storage locations are crucial in minimizing the operating cost of a unit-load warehouse. The problem becomes intractable when the warehouse faces variable supply and uncertain demand in a multi-period setting. We assume a factor-based demand model in which demand for each product in each period is affinely dependent on some uncertain factors. The distributions of these factors are only partially characterized. We introduce a robust optimization model that minimizes the worst-case expected total travel in the warehouse with distributional ambiguity of demand. Under a linear decision rule, we obtain a storage and …
Investor Competition Over Information And The Pricing Of Information Asymmetry, Brian K. Atkins, Jeffrey Ng, Rodrigo Verdi
Investor Competition Over Information And The Pricing Of Information Asymmetry, Brian K. Atkins, Jeffrey Ng, Rodrigo Verdi
Research Collection School Of Accountancy
Whether the information environment affects the cost of capital is a fundamental question in accounting and finance research. Relying on theories about competition between informed investors as well as the pricing of information asymmetry, we hypothesize a cross-sectional variation in the pricing of information asymmetry that is conditional on competition. We develop and validate empirical proxies for competition using the number and concentration of institutional investor ownership. Using these proxies, we find a lower pricing of information asymmetry when there is more competition. Overall, our results suggest that competition between informed investors has an important effect on how the information …
An Analytical And Empirical Measure Of The Degree Of Conditional Conservatism, Dan Segal, Jeffrey L. Callen
An Analytical And Empirical Measure Of The Degree Of Conditional Conservatism, Dan Segal, Jeffrey L. Callen
Research Collection School Of Accountancy
There is a profound gap between models of accounting conservatism and the proxies for conditional conservatism currently used by the empirical literature. Not one of the proxies employed by the empirical literature to date obtains from a rigorous definition of conditional conservatism. In contrast, this study defines conditional conservatism in terms of truncated distributions and derives analytically a nonlinear relation between revisions to returns and earnings news for the conservative firm. This nonlinear relation is shown to be mathematically equivalent to two linear relations conditioned on the firm's degree of conservatism. From these relations, we derive a model-based proxy of …
Crisis Response Information Networks, Shan L. Pan, Gary Pan, Dorothy Leidner
Crisis Response Information Networks, Shan L. Pan, Gary Pan, Dorothy Leidner
Research Collection School Of Accountancy
In the past two decades, organizational scholars have focused significant attention on how organizations manage crises. While most of these studies concentrate on crisis prevention, there is a growing emphasis on crisis response. Because information that is critical to crisis response may become outdated as crisis conditions change, crisis response research recognizes that the management of information flows and networks is critical to crisis response. Yet despite its importance, little is known about the various types of crisis information networks and the role of IT in enabling these information networks. Employing concepts from information flow and social network theories, this …
An Improved K-Nearest-Neighbor Algorithm For Text Categorization, Shengyi Jiang, Guansong Pang, Meiling Wu, Limin Kuang
An Improved K-Nearest-Neighbor Algorithm For Text Categorization, Shengyi Jiang, Guansong Pang, Meiling Wu, Limin Kuang
Research Collection School Of Computing and Information Systems
Text categorization is a significant tool to manage and organize the surging text data. Many text categorization algorithms have been explored in previous literatures, such as KNN, Naive Bayes and Support Vector Machine. KNN text categorization is an effective but less efficient classification method. In this paper, we propose an improved KNN algorithm for text categorization, which builds the classification model by combining constrained one pass clustering algorithm and KNN text categorization. Empirical results on three benchmark corpora show that our algorithm can reduce the text similarity computation substantially and outperform the-state-of-the-art KNN, Naive Bayes and Support Vector Machine classifiers. …
Self‐Regulating Action Exploration In Reinforcement Learning, Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan
Self‐Regulating Action Exploration In Reinforcement Learning, Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan
Research Collection School Of Computing and Information Systems
The basic tenet of a learning process is for an agent to learn for only as much and as long as it is necessary. With reinforcement learning, the learning process is divided between exploration and exploitation. Given the complexity of the problem domain and the randomness of the learning process, the exact duration of the reinforcement learning process can never be known with certainty. Using an inaccurate number of training iterations leads either to the non-convergence or the over-training of the learning agent. This work addresses such issues by proposing a technique to self-regulate the exploration rate and training duration …
Tweets And Votes: A Study Of The 2011 Singapore General Election, Marko M. Skoric, Nathaniel D. Poor, Palakorn Achananuparp, Ee Peng Lim, Jing Jiang
Tweets And Votes: A Study Of The 2011 Singapore General Election, Marko M. Skoric, Nathaniel D. Poor, Palakorn Achananuparp, Ee Peng Lim, Jing Jiang
Research Collection School Of Computing and Information Systems
This study focuses on the uses of Twitter during the elections, examining whether the messages posted online are reflective of the climate of public opinion. Using Twitter data obtained during the official campaign period of the 2011 Singapore General Election, we test the predictive power of tweets in forecasting the election results. In line with some previous studies, we find that during the elections the Twitter sphere represents a rich source of data for gauging public opinion and that the frequency of tweets mentioning names of political parties, political candidates and contested constituencies could be used to make predictions about …
Evaluating The Use Of A Mobile Annotation System For Geography Education, Dion Hoe-Lian Goh, Khasfariyati Razikin, Chei Sian Lee, Ee Peng Lim, Kalyani Chatterjea, Chew-Hung Chang
Evaluating The Use Of A Mobile Annotation System For Geography Education, Dion Hoe-Lian Goh, Khasfariyati Razikin, Chei Sian Lee, Ee Peng Lim, Kalyani Chatterjea, Chew-Hung Chang
Research Collection School Of Computing and Information Systems
Mobile devices used in educational settings are usually employed within a collaborative learning activity in which learning takes place in the form of social interactions between team members while performing a shared task. The authors aim to introduce MobiTOP (Mobile Tagging of Objects and People), a mobile annotation system that allows users to contribute and share geospatial multimedia annotations via mobile devices. Field observations and interviews were conducted. A group of trainee teachers involved in a geography field study were instructed to identify rock formations by collaborating with each other using the MobiTOP system. The trainee teachers who were in …
A Survey On Privacy Frameworks For Rfid Authentication, Chunhua Su, Yingjiu Li, Yunlei Zhao, Robert H. Deng, Yiming Zhao, Jianying Zhou
A Survey On Privacy Frameworks For Rfid Authentication, Chunhua Su, Yingjiu Li, Yunlei Zhao, Robert H. Deng, Yiming Zhao, Jianying Zhou
Research Collection School Of Computing and Information Systems
Due to rapid growth of RFID system applications, the security and privacy problems become more and more important to guarantee the validity of RFID systems. Without introducing proper privacy protection mechanisms, widespread deployment of RFID could raise privacy concerns to both companies and individuals. As a fundamental issue for the design and analysis of secure RFID systems, some formal RFID privacy frameworks were proposed in recent years to give the principles for evaluating the security and privacy in RFID system. However, readers can be confused with so many proposed frameworks. In this paper, we make a comparative and survey study …
Content Contribution In Social Media: The Case Of Youtube, Qian Tang, Bin Gu, Andrew B. Whinston
Content Contribution In Social Media: The Case Of Youtube, Qian Tang, Bin Gu, Andrew B. Whinston
Research Collection School Of Computing and Information Systems
Social media allows individuals and businesses to contribute contents for public viewing. However, little is known about the underlying incentives that why content providers derive utilities from such activities. In this study, we build a dynamic structural model to recover the utility function for content providers. Our model distinguishes short-term payoffs based on ad revenue sharing from long-term payoffs driven by content providers' reputation. The model was estimated using a panel data of 914 top 1000 video providers on You Tube from Jun 7th, 2010, to Aug 7th, 2011 since top providers are more likely to be encouraged by these …
Observations Of Budapest Since 1992, Howard Hunter
Observations Of Budapest Since 1992, Howard Hunter
Research Collection Yong Pung How School Of Law
My wife, Susan, and I flew into Budapest from Moscow in the summer of 1992. It was our first visit to one of the former “satellites” of the USSR, although by 1992 we had spent a good deal of time in the Soviet Union – and then Russia. My work on a joint university project in Moscow had been difficult because of the dramatic changes taking place almost daily in the early 1990s, and we were looking forward to a few days of relaxed tourism in a country that was new to us. I also was intrigued by the plans …
Modeling And Compressing 3-D Facial Expressions Using Geometry Videos, Jiazhi Xia, Dao T. P. Quynh, Ying He, Xiaoming Chen, Steven C. H. Hoi
Modeling And Compressing 3-D Facial Expressions Using Geometry Videos, Jiazhi Xia, Dao T. P. Quynh, Ying He, Xiaoming Chen, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
In this paper, we present a novel geometry video (GV) framework to model and compress 3-D facial expressions. GV bridges the gap of 3-D motion data and 2-D video, and provides a natural way to apply the well-studied video processing techniques to motion data processing. Our framework includes a set of algorithms to construct GVs, such as hole filling, geodesic-based face segmentation, expression-invariant parameterization (EIP), and GV compression. Our EIP algorithm can guarantee the exact correspondence of the salient features (eyes, mouth, and nose) in different frames, which leads to GVs with better spatial and temporal coherence than that of …
A New Efficient Optimistic Fair Exchange Protocol Without Random Oracles, Qiong Huang, Guomin Yang, Duncan S. Wong, Willy Susilo
A New Efficient Optimistic Fair Exchange Protocol Without Random Oracles, Qiong Huang, Guomin Yang, Duncan S. Wong, Willy Susilo
Research Collection School Of Computing and Information Systems
Optimistic fair exchange (OFE) is a kind of protocols to solve the problem of fair exchange between two parties. Most of the previous work on this topic are provably secure in the random oracle model. In this work, we propose a new construction of OFE from another cryptographic primitive, called time capsule signature. The construction is efficient and brings almost no overhead other than the primitive itself. The security of our new construction is based on that of the underlying primitive without relying on the random oracle heuristic. Applying our generic construction to the time capsule signature scheme recently proposed …
Mining Diversity On Social Media Networks, Lu Liu, Feida Zhu, Meng Jiang, Jiawei Han, Lifeng Sun, Shiqiang Yang
Mining Diversity On Social Media Networks, Lu Liu, Feida Zhu, Meng Jiang, Jiawei Han, Lifeng Sun, Shiqiang Yang
Research Collection School Of Computing and Information Systems
The fast development of multimedia technology and increasing availability of network bandwidth has given rise to an abundance of network data as a result of all the ever-booming social media and social websites in recent years, e.g., Flickr, Youtube, MySpace, Facebook, etc. Social network analysis has therefore become a critical problem attracting enthusiasm from both academia and industry. However, an important measure that captures a participant’s diversity in the network has been largely neglected in previous studies. Namely, diversity characterizes how diverse a given node connects with its peers. In this paper, we give a comprehensive study of this concept. …
Structural Analysis In Multi-Relational Social Networks, Bingtian Dai, Freddy Chua, Ee Peng Lim
Structural Analysis In Multi-Relational Social Networks, Bingtian Dai, Freddy Chua, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Modern social networks often consist of multiple relations among individuals. Understanding the structure of such multi-relational network is essential. In sociology, one way of structural analysis is to identify different positions and roles using blockmodels. In this paper, we generalize stochastic blockmodels to Generalized Stochastic Blockmodels (GSBM) for performing positional and role analysis on multi-relational networks. Our GSBM generalizes many different kinds of Multivariate Probability Distribution Function (MVPDF) to model different kinds of multirelational networks. In particular, we propose to use multivariate Poisson distribution for multi-relational social networks.
Predictive Modeling For Navigating Social Media, Meiqun Hu
Predictive Modeling For Navigating Social Media, Meiqun Hu
Dissertations and Theses Collection (Open Access)
Social media changes the way people use the Web. It has transformed ordinary Web users from information consumers to content contributors. One popular form of content contribution is social tagging, in which users assign tags to Web resources. By the collective efforts of the social tagging community, a new information space has been created for information navigation. Navigation allows serendipitous discovery of information by examining the information objects linked to one another in the social tagging space. In this dissertation, we study prediction tasks that facilitate navigation in social tagging systems. For social tagging systems to meet complex navigation needs …
Robust Execution Strategy For Scheduling Under Uncertainity, Na Fu
Robust Execution Strategy For Scheduling Under Uncertainity, Na Fu
Dissertations and Theses Collection (Open Access)
Resource Constrained Project Scheduling Problems with minimum and maximum time lags (RCPSP/max) provides a general model for resource scheduling in many real-world problems (such as manufacturing and construction engineering). Due to its practical importance and generality, providing effective algorithms and scalable solutions for RCPSP/max is a topic of growing research. Traditional methods have addressed deterministic models with all parameters known with certainty. In this thesis, we are concerned with RCPSP/max problems in an uncertain environment where durations of activities are stochastic and resource availabilities are subject to unforeseen breakdowns. We propose methods for generating robust execution strategy to protect against …
Novel Techniques Of Using Diversity In Software Security And Information Hiding, Jin Han
Novel Techniques Of Using Diversity In Software Security And Information Hiding, Jin Han
Dissertations and Theses Collection (Open Access)
Diversity is an important and valuable concept that has been adopted in many fields to reduce correlated risks and to increase survivability. In information security, diversity also helps to increase both defense capability and fault tolerance for information systems and communication networks, where diversity can be adopted from many different perspectives. This dissertation, in particular, focuses mainly on two aspects of diversity – the application software diversity and the diversity in data interpretation. Software diversity has many advantages over mono-culture in improving system security. A number of previous researches focused on utilizing existing off-theshelf diverse software for network protection and …