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Articles 7501 - 7530 of 8681
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Are Radio Sources And Gamma Ray Bursts Luminal Booms?, Manoj Thulasidas
Are Radio Sources And Gamma Ray Bursts Luminal Booms?, Manoj Thulasidas
Research Collection School Of Computing and Information Systems
The softening of a Gamma Ray Burst (GRB) afterglow bears remarkable similarities to the frequency evolution in a sonic boom. Atthe front end of the sonic boom cone, the frequency is infinite, much like a GRB. Inside the cone, the frequencyrapidly decreases to infrasonic ranges and the sound source appears at two places at the same time,mimicking the double-lobed radio sources. Although a “luminal” boom violates the Lorentz invarianceand is therefore forbidden, it is tempting to work out the details and compare them with existing data. This temptation is further enhanced by the observed superluminality in the celestial objects associated …
Similarity Beyond Distance Measurement, Feng Kang, Rong Jin, Steven C. H. Hoi
Similarity Beyond Distance Measurement, Feng Kang, Rong Jin, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
One of the keys issues to content-based image retrieval is the similarity measurement of images. Images are represented as points in the space of low-level visual features and most similarity measures are based on certain distance measurement between these features. Given a distance metric, two images with shorter distance are deemed to more similar than images that are far away. The well-known problem with these similarity measures is the semantic gap, namely two images separated by large distance could share the same semantic content. In this paper, we propose a novel similarity measure of images that goes beyond the distance …
Asymmetric Discounting In Intertemporal Choice: A Query Theory Account, E. U. Weber, E. J. Johnson, K. F. Milch, Hannah H. Chang, J. C. Brodscholl, D. G. Goldstein
Asymmetric Discounting In Intertemporal Choice: A Query Theory Account, E. U. Weber, E. J. Johnson, K. F. Milch, Hannah H. Chang, J. C. Brodscholl, D. G. Goldstein
Research Collection Lee Kong Chian School Of Business
People are impatient and discount future rewards more when they are asked to delay consumption than when they are offered the chance to accelerate consumption. The three experiments reported here provide a process-level account for this asymmetry, with implications for designing decision environments that promote less impulsivity. In Experiment 1, a thought-listing procedure showed that people decompose discount valuation into two queries. Whether one considers delayed or accelerated receipt of a gift certificate influences the order in which memory is queried to support immediate versus delayed consumption, and the order of queries affects the relative number of patient versus impatient …
Going Organic In Singapore: Kemena Enterprise Ltd And The Uob-Smu Entrepreneurship Alliance, Knowledge@Smu
Going Organic In Singapore: Kemena Enterprise Ltd And The Uob-Smu Entrepreneurship Alliance, Knowledge@Smu
Knowledge@SMU
According to British business research company Organic Monitor, the market across Asia for organic food is set to hit US$1 billion this year. Singapore, too, has been swept up in this organic wave. Last year, the country’s share of the Asian organic food market reached US$40 million. Kemena, a two-year-old company which supplies a range of health products in Singapore, has become the first to introduce organic infant formula into the Singapore market. The company was recently involved with the United Overseas Bank (UOB)-SMU Entrepreneurship Alliance which provides funding for small and medium-sized enterprises to hire student consultants. Knowledge@SMU interviewed …
Unit Root Log Periodogram Regression, Peter C. B. Phillips
Unit Root Log Periodogram Regression, Peter C. B. Phillips
Research Collection School Of Economics
Log periodogram (LP) regression is shown to be consistent and to have a mixed normal limit distribution when the memory parameter d=1. Gaussian errors are not required. The proof relies on a new result showing that asymptotically infinite collections of discrete Fourier transforms (dft's) of a short memory process at the fundamental frequencies in the vicinity of the origin can be treated as asymptotically independent normal variates, provided one does not include too many dft's in the collection.
Forgery Attack To An Asymptotically Optimal Traitor Tracing Scheme, Yongdong Wu, Feng Bao, Robert H. Deng
Forgery Attack To An Asymptotically Optimal Traitor Tracing Scheme, Yongdong Wu, Feng Bao, Robert H. Deng
Research Collection School Of Computing and Information Systems
In this paper, we present a forgery attack to a black-box traitor tracing scheme [2] called as CPP scheme. CPP scheme has efficient transmission rate and allows the tracer to identify a traitor with just one invalid ciphertext. Since the original CPP scheme is vulnerable to the multi-key attack, we improved CPP to thwart the attack. However, CPP is vulnerable to a fatal forgery attack. In the forgery attack, two traitors can collude to forge all valid decryption keys. The forged keys appear as perfect genuine keys, can decrypt all protected content, but are untraceable by the tracer. Fortunately, we …
Cognitive Evaluation Of Information Modeling Methods, Keng Siau, Yuan Wang
Cognitive Evaluation Of Information Modeling Methods, Keng Siau, Yuan Wang
Research Collection School Of Computing and Information Systems
In the field of information system engineering, information modeling method is a technique to capture user requirements and to understand system complexity. The importance of information modeling has been recognized by practitioners and researchers, but little has been explored to analyze the available information modeling methods or to evaluate them in terms of their strengths, weaknesses, and effectiveness. This research analyzes six information-modeling methods: use case diagram, rich picture diagram, entity-relationship diagram, Trochim’s concept mapping, repertory grid, and causal mapping. These information-modeling methods are analyzed from a cognitive perspective in order to better understand their nature, the assumptions, and the …
Learning To Classify E-Mail, Irena Koprinska, Josiah Poon, James Clark, Jason Yuk Hin Chan
Learning To Classify E-Mail, Irena Koprinska, Josiah Poon, James Clark, Jason Yuk Hin Chan
Research Collection School Of Computing and Information Systems
In this paper we study supervised and semi-supervised classification of e-mails. We consider two tasks: filing e-mails into folders and spam e-mail filtering. Firstly, in a supervised learning setting, we investigate the use of random forest for automatic e-mail filing into folders and spam e-mail filtering. We show that random forest is a good choice for these tasks as it runs fast on large and high dimensional databases, is easy to tune and is highly accurate, outperforming popular algorithms such as decision trees, support vector machines and naive Bayes. We introduce a new accurate feature selector with linear time complexity. …
Modeling Architectural Strategy Using Design Structure Networks, C. Jason Woodard
Modeling Architectural Strategy Using Design Structure Networks, C. Jason Woodard
Research Collection School Of Computing and Information Systems
System architects face the formidable task of purposefully shaping an evolving space of complex designs. Their task s further complicated when they lack full control of the design process, and therefore must anticipate the behavior of other stakeholders, including the designers of component products and competing systems. This paper presents a conceptual tool called a design structure network (DSN) to help architects and design scientists reason effectively about these situations. A DSN is a graphical representation of a system’s design space. DSNs improve on existing representation schemes by providing a compact and intuitive way to express design options—the ability to …
Integrated 10th Order Fresnel Lens Design For Beam Quality Enhancement In Tapered Laser Diode, F. K. Lau, Chyng Wen Tee, C. H. Kwok, R. V. Penty, I. H. White, N. Michel, M. Krakowski
Integrated 10th Order Fresnel Lens Design For Beam Quality Enhancement In Tapered Laser Diode, F. K. Lau, Chyng Wen Tee, C. H. Kwok, R. V. Penty, I. H. White, N. Michel, M. Krakowski
Research Collection Lee Kong Chian School Of Business
An integrated 10th order Fresnel lens capable of improving the laser beam quality is reported. The far-field divergence is narrowed by an average of 1.9 deg (29%) and an overall M2- factor improvement of 15% is recorded.
The Relationship Between Uncertainty And Desire For Feedback: A Test Of Competing Hypotheses, Filip Anseel, Filip Lievens
The Relationship Between Uncertainty And Desire For Feedback: A Test Of Competing Hypotheses, Filip Anseel, Filip Lievens
Research Collection Lee Kong Chian School Of Business
The relationship between uncertainty and desire for feedback was investigated in 2 studies. Results of Study 1 showed support for a curvilinear relationship. People were interested in feedback at high and low levels of uncertainty, as opposed to moderate levels of uncertainty, indicating the activation of both uncertainty reduction and self-verification motives. In Study 2, the curvilinear relationship with uncertainty was replicated for indirect feedback-seeking behavior. In contrast, we found a negative relationship between direct feedback seeking and uncertainty, moderated by certainty orientation. People seemed more motivated by self-verification vs. uncertainty reduction strivings, depending on their certainty orientation. These findings …
Analysis Of Topological Characteristics Of Huge Online Social Networking Services, Yong-Yeol Ahn, Seungyeop Han, Haewoon Kwak, Sue Moon, Hawoong Jeong
Analysis Of Topological Characteristics Of Huge Online Social Networking Services, Yong-Yeol Ahn, Seungyeop Han, Haewoon Kwak, Sue Moon, Hawoong Jeong
Research Collection School Of Computing and Information Systems
Social networking services are a fast-growing business in the Internet. However, it is unknown if online relationships and their growth patterns are the same as in real-life social networks. In this paper, we compare the structures of three online social networking services: Cyworld, MySpace, and orkut, each with more than 10 million users, respectively. We have access to complete data of Cyworld's ilchon (friend) relationships and analyze its degree distribution, clustering property, degree correlation, and evolution over time. We also use Cyworld data to evaluate the validity of snowball sampling method, which we use to crawl and obtain partial network …
Cultural Icons And Urban Development In Asia: Economic Imperative, National Identity, And Global City Status, Lily Kong
Research Collection School of Social Sciences
Global cities are characterized by the multiplicity of flows that they are implicated in - flows of people, goods, services, ideas, and images. Yet, global cities do not derive their status only on the basis that they are networked nodes. They also require particular forms of cultural capital. Cities with global aspirations have thus increasingly recognized the need to accumulate cultural capital, for which one means is to create new urban spaces, in particular, new cultural urban spaces (e.g. grand theatres, museums, libraries). These often monumental structures are intended to support a vibrant cultural life, in order to attract and …
Bayesian Analysis Of Dsge Models, Sungbae An, Frank Schorfheide
Bayesian Analysis Of Dsge Models, Sungbae An, Frank Schorfheide
Research Collection School Of Economics
This paper reviews Bayesian methods that have been developed in recent years to estimate and evaluate dynamic stochastic general equilibrium (DSGE) models. We consider the estimation of linearized DSGE models, the evaluation of models based on Bayesian model checking, posterior odds comparisons, and comparisons to vector autoregressions, as well as the non-linear estimation based on a second-order accurate model solution. These methods are applied to data generated from correctly specified and misspecified linearized DSGE models and a DSGE model that was solved with a second-order perturbation method.
A Unified Confidence Interval For Reliability-Related Quantities Of Two-Parameter Weibull Distribution, Zhenlin Yang, Min Xie, Augustine C.M. Wong
A Unified Confidence Interval For Reliability-Related Quantities Of Two-Parameter Weibull Distribution, Zhenlin Yang, Min Xie, Augustine C.M. Wong
Research Collection School Of Economics
Statistical inference methods for the Weibull parameters and their functions usually depend on extensive tables, and hence are rather inconvenient for the practical applications. In this paper, we propose a general method for constructing confidence intervals for the Weibull parameters and their functions, which eliminates the need for the extensive tables. The method is applied to obtain confidence intervals for the scale parameter, the mean-time-to-failure, the percentile function, and the reliability function. Monte-Carlo simulation shows that these intervals possess excellent finite sample properties, having coverage probabilities very close to their nominal levels, irrespective of the sample size and the degree …
Enhancing The Performance Of Semi-Supervised Classification Algorithms With Bridging, Jason Yuk Hin Chan, Josiah Poon, Irena Koprinska
Enhancing The Performance Of Semi-Supervised Classification Algorithms With Bridging, Jason Yuk Hin Chan, Josiah Poon, Irena Koprinska
Research Collection School Of Computing and Information Systems
Traditional supervised classification algorithms require a large number of labelled examples to perform accurately. Semi-supervised classification algorithms attempt to overcome this major limitation by also using unlabelled examples. Unlabelled examples have also been used to improve nearest neighbour text classification in a method called bridging. In this paper, we propose the use of bridging in a semi-supervised setting. We introduce a new bridging algorithm that can be used as a base classifier in any supervised approach such as co-training or selflearning. We empirically show that classification performance increases by improving the semi-supervised algorithm’s ability to correctly assign labels to previouslyunlabelled …
Achieving End-To-End Authentication In Intermediary-Enabled Multimedia Delivery Systems, Robert H. Deng, Yanjiang Yang
Achieving End-To-End Authentication In Intermediary-Enabled Multimedia Delivery Systems, Robert H. Deng, Yanjiang Yang
Research Collection School Of Computing and Information Systems
Considerable research and experiment results in recent years have shown that the server-proxy-user architecture represents an efficient and scalable new paradigm for multimedia content delivery. However, not much effort has been spent on the security issues in such systems. In this paper, we study data authentication in multimedia content delivery, and in particular, we focus on achieving end-to-end authentication from the multimedia server to end users in the server-proxy-user architecture where intermediary proxies transcode multimedia content dynamically. We present a formal model for the end-to-end authentication problem, and propose a basic construction for generic data modality and prove its security. …
Machine Scheduling Performance With Maintenance And Failure, Yunsong Guo, Andrew Lim, Brian Rodrigues, Shuang Yu
Machine Scheduling Performance With Maintenance And Failure, Yunsong Guo, Andrew Lim, Brian Rodrigues, Shuang Yu
Research Collection Lee Kong Chian School Of Business
In manufacturing control, machine scheduling research has mostly dealt with problems either without maintenance or with deterministic maintenance when no failure can occur. This can be unrealistic in practical settings. In this work, an experimental model is developed to evaluate the effect of corrective and preventive maintenance schemes on scheduling performance in the presence of machine failure where the scheduling objective is to minimize schedule duration. We show that neither scheme is clearly superior, but that the applicability of each depends on several system parameters as well as the scheduling environment itself. Further, we show that parameter values can be …
The Effects Of Optimal Time Of Day On Persuasion Processes In Older Adults, Carolyn C. Yoon, Pui Yee, Michelle Lee, Shai Danziger
The Effects Of Optimal Time Of Day On Persuasion Processes In Older Adults, Carolyn C. Yoon, Pui Yee, Michelle Lee, Shai Danziger
Research Collection Lee Kong Chian School Of Business
Past research demonstrates that the majority of older adults (60 years and older) perform resource-demanding tasks better in the morning than in the afternoon or evening. The authors ask whether this time-of-day effect also impacts persuasion processes performed under relatively high involvement. The data show that the attitudes of older adults are more strongly affected by an easy-to-process criterion, picturerelatedness, at their non-optimal time of day (afternoon) and by a more-difficult-to-process criterion, argument strength, at their optimal time of day (morning). In contrast, the attitudes of younger adults are affected primarily by argument strength at both their optimal (afternoon) and …
Do Hedge Funds Deliver Alpha? A Bayesian And Bootstrap Analysis, Robert Kosowski, Narayan Y. Naik, Melvyn Teo
Do Hedge Funds Deliver Alpha? A Bayesian And Bootstrap Analysis, Robert Kosowski, Narayan Y. Naik, Melvyn Teo
Research Collection BNP Paribas Hedge Fund Centre
Using a robust bootstrap procedure, we find that top hedge fund performance cannot be explained by luck, and that hedge fund performance persists at annual horizons. Moreover, we show that Bayesian measures, which help overcome the short-sample problem inherent in hedge fund returns, lead to superior performance predictability. Relative to sorting on OLS alphas, sorting on Bayesian alphas yields a 5.5 percent per year increase in the alpha of the spread between the top and bottom hedge fund deciles. Our results are robust, and relevant to investors, as they are neither confined to small funds, nor driven by incubation bias, …
The Long-Term Impact Of The Feedback Environment On Job Satisfaction: A Field Study In A Belgian Context, Filip Anseel, Filip Lievens
The Long-Term Impact Of The Feedback Environment On Job Satisfaction: A Field Study In A Belgian Context, Filip Anseel, Filip Lievens
Research Collection Lee Kong Chian School Of Business
This study examines (1) the relationship between the feedback environment and job satisfaction and (2) the mediating role of leader-member exchange in a Belgian context. Results from a sample of 155 employees of a governmental service for employment and vocational training supported our hypotheses. A favorable supervisor feedback environment was related to higher levels of job satisfaction 5 months later, and this relationship was fully mediated by the quality of leader-member exchange. These findings highlight the usefulness of diagnosing and assessing the feedback environment for a better understanding of feedback processes and for enhancing feedback interventions in organisations.
Mining Colossal Frequent Patterns By Core Pattern Fusion, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hong Cheng
Mining Colossal Frequent Patterns By Core Pattern Fusion, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hong Cheng
Research Collection School Of Computing and Information Systems
Extensive research for frequent-pattern mining in the past decade has brought forth a number of pattern mining algorithms that are both effective and efficient. However, the existing frequent-pattern mining algorithms encounter challenges at mining rather large patterns, called colossal frequent patterns, in the presence of an explosive number of frequent patterns. Colossal patterns are critical to many applications, especially in domains like bioinformatics. In this study, we investigate a novel mining approach called Pattern-Fusion to efficiently find a good approximation to the colossal patterns. With Pattern-Fusion, a colossal pattern is discovered by fusing its small core patterns in one step, …
Managing Stakeholders During It-Enabled Organizational Transformation: A Case Study Of E-Government In South Korea, Hyun Jeong Kim, Gary Pan, Shan Ling Pan
Managing Stakeholders During It-Enabled Organizational Transformation: A Case Study Of E-Government In South Korea, Hyun Jeong Kim, Gary Pan, Shan Ling Pan
Research Collection School Of Accountancy
The implementation of e-government is a burgeoning phenomenon across the globe. It improves and enhances the infrastructures and services provided to the citizens. However, a review of the IS literature reveals that research on the implementation of e-government is rather limited, which could be due to the general misconception of the public sectors as rigid and risk-averse establishments. The shortage of studies on e-government’s implementation presents a knowledge gap that needs to be plugged. This gap is significantly amplified by the increasing number of e-government initiatives being implemented by governments in recent years. This paper describes and analyzes South Korea’s …
Simulation-Based Estimation Of Contingent-Claims Prices, Jun Yu
Simulation-Based Estimation Of Contingent-Claims Prices, Jun Yu
Research Collection School Of Economics
A new methodology is proposed to estimate theoretical prices of financial contingent-claims whose values are dependent on some other underlying financial assets. In the literature the preferred choice of estimator is usually maximum likelihood (ML). ML has strong asymptotic justification but is not necessarily the best method in finite samples. The present paper proposes instead a simulation-based method that improves the finite sample performance of the ML estimator while maintaining its good asymptotic properties. The methods are implemented and evaluated here in the Black-Scholes option pricing model and in the Vasicek bond pricing model, but have wider applicability. Monte Carlo …
Global And Regional Sources Of Risk In Equity Markets: Evidence From Factor Models With Time-Varying Conditional Skewness, Aamir R. Hashmi, Anthony S. Tay
Global And Regional Sources Of Risk In Equity Markets: Evidence From Factor Models With Time-Varying Conditional Skewness, Aamir R. Hashmi, Anthony S. Tay
Research Collection School Of Economics
We examine the influence of global and regional factors on the conditional distribution of stock returns from six Asian markets, using factor models in which unexpected returns comprise global, regional and local shocks. The models allow for conditional heteroskedasticity and time-varying conditional skewness, and are used to measure mean, variance, and skewness spillovers. We find that incorporating time-varying conditional skewness improves the fit of our spillover models, and can alter measurements of variance spillovers. However, time-varying conditional skewness is mostly a local phenomenon; with exceptions, there is little spillover in skewness from global and regional factors.
A Simple Approach To The Parametric Estimation Of Potentially Nonstationary Diffusions, Federico Bandi, Peter C. B. Phillips
A Simple Approach To The Parametric Estimation Of Potentially Nonstationary Diffusions, Federico Bandi, Peter C. B. Phillips
Research Collection School Of Economics
A simple and robust approach is proposed for the parametric estimation of scalar homogeneous stochastic differential equations. We specify a parametric class of diffusions and estimate the parameters of interest by minimizing criteria based on the integrated squared difference between kernel estimates of the drift and diffusion functions and their parametric counterparts. The procedure does not require simulations or approximations to the true transition density and has the simplicity of standard nonlinear least-squares methods in discrete time. A complete asymptotic theory for the parametric estimates is developed. The limit theory relies on infill and long span asymptotics and is robust …
Vulnerability Analysis Of Emap: An Efficient Rfid Mutual Authentication Protocol, Tieyan Li, Robert H. Deng
Vulnerability Analysis Of Emap: An Efficient Rfid Mutual Authentication Protocol, Tieyan Li, Robert H. Deng
Research Collection School Of Computing and Information Systems
In this paper, we analyze the security vulnerabilities of EMAP, an efficient RFID mutual authentication protocol recently proposed by Peris-Lopez et al. (2006). We present two effective attacks, a de-synchronization attack and a full-disclosure attack, against the protocol. The former permanently disables the authentication capability of a RFID tag by destroying synchronization between the tag and the RFID reader. The latter completely compromises a tag by extracting all the secret information stored in the tag. The de-synchronization attack can be carried out in just round of interaction in EMAP while the full-disclosure attack is accomplished across several runs of EMAP. …
The Right Of Access To Justice: Judicial Discourse In Singapore And Malaysia, Gary Chan
The Right Of Access To Justice: Judicial Discourse In Singapore And Malaysia, Gary Chan
Research Collection Yong Pung How School Of Law
This is an essay on judicial discourse in Singapore and Malaysia pertaining to the nature and scope of the right of access to justice, including access to justice for the poor. We will examine the statements and pronouncements by the Singapore and Malaysia judiciary in case precedents and extra-judicial statements. Some of the issues explored include the legal status of this right of access to justice (namely, whether it is a right enshrined in the constitution or merely a right derived from the common law and whether it is qualified by economic and other interests) and the associated rights of …
Do Hedge Funds Deliver Alpha? A Bayesian And Bootstrap Analysis, Robert Kosowski, Narayan Y. Naik, Melvyn Teo
Do Hedge Funds Deliver Alpha? A Bayesian And Bootstrap Analysis, Robert Kosowski, Narayan Y. Naik, Melvyn Teo
Research Collection Lee Kong Chian School Of Business
Using a robust bootstrap procedure, we find that top hedge fund performance cannot be explained by luck, and that hedge fund performance persists at annual horizons. Moreover, we show that Bayesian measures, which help overcome the short-sample problem inherent in hedge fund returns, lead to superior performance predictability. Relative to sorting on OLS alphas, sorting on Bayesian alphas yields a 5.5 percent per year increase in the alpha of the spread between the top and bottom hedge fund deciles. Our results are robust, and relevant to investors, as they are neither confined to small funds, nor driven by incubation bias, …
I-Flex Solutions' Rajesh Hukku: 'No One Dreamed That $400,000 Would Become Almost $600 Million In 13 Years', Knowledge@Smu
I-Flex Solutions' Rajesh Hukku: 'No One Dreamed That $400,000 Would Become Almost $600 Million In 13 Years', Knowledge@Smu
Knowledge@SMU
In 1992, Rajesh Hukku, then head of Citicorp Overseas Software, spun off Citicorp Information Technology Industries Ltd. (CITIL), now called i-flex solutions, from the giant financial institution. Citi had decided that software wasn't its business, but invested $400,000 in the venture. In 2005, Oracle bought out Citicorp's 42% interest for $592 million, a humongous return on Citi's investment in just 13 years. In the first of a two-part interview with India Knowledge@Wharton, Hukku spoke about i-flex's start and strategy with Ravi Aron, a senior fellow at Wharton's Mack Center for Technological Innovation.