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Articles 19831 - 19860 of 23312
Full-Text Articles in Entire DC Network
Bringing It All Back Home, Arnoud Cyriel Leo De Meyer, Matthias Holweg
Bringing It All Back Home, Arnoud Cyriel Leo De Meyer, Matthias Holweg
Research Collection Lee Kong Chian School Of Business
There seems little thatcan be positive for the UK manufacturing sector in oil prices above $120 abarrel, rising costs of other natural resources, inflation and growingenvironmental pressure. But there may be a silver lining. Increased transportcosts resulting from higher energy prices and carbon taxes may create anopportunity for a revival in western manufacturing.
Examining Differential Item Functioning Of The Rosenberg Self-Esteem Scale Across Eight Countries (In Press), Lisa E. Baranik, Adam W. Meade, Chad E. Lakey, Charles E. Lance, Changya Hu, Wei Hua, Alex Michalos
Examining Differential Item Functioning Of The Rosenberg Self-Esteem Scale Across Eight Countries (In Press), Lisa E. Baranik, Adam W. Meade, Chad E. Lakey, Charles E. Lance, Changya Hu, Wei Hua, Alex Michalos
Research Collection Lee Kong Chian School Of Business
We examined the differential item functioning (DIF) of Rosenberg's (1965) Self-Esteem Scale (RSES) and compared scores from U.S. participants with those from 7 other countries: Canada, Germany, New Zealand, Kenya, South Africa, Singapore, and Taiwan. Results indicate that DIF was present in all comparisons. Moreover, controlling for latent self-esteem, participants from individualistic countries had an easier time reporting high self-esteem on self-competence-related items, whereas participants from communal countries had an easier time reporting high self-esteem on self-liking items (Tafarodi & Milne, 2002). After adjusting for DIF, we found larger mean self-esteem differences between the countries than observed scores initially indicated. …
The Disparity Between Long-Term And Short-Term Forecasted Earnings Growth, Zhi Da, Mitchell Craig Warachka
The Disparity Between Long-Term And Short-Term Forecasted Earnings Growth, Zhi Da, Mitchell Craig Warachka
Research Collection Lee Kong Chian School Of Business
We find the disparity between long-term and short-term analyst forecasted earnings growth is a robust predictor of future returns and revisions in long-term forecasted earnings growth. After adjusting for industry characteristics, stocks whose long-term earnings growth forecasts are far above or far below their implied short-term forecasts for earnings growth have negative and positive subsequent risk-adjusted returns, respectively. Despite the importance of conditioning on short-term forecasted earnings growth, these returns are not driven by earnings momentum. Instead, consistent with investors having limited attention, predictable revisions in long-term analyst forecasts appear to induce return predictability.
Search For Optimal Ceo Compensation: Theory And Empirical Evidence, Melanie Cao, Rong Wang
Search For Optimal Ceo Compensation: Theory And Empirical Evidence, Melanie Cao, Rong Wang
Research Collection Lee Kong Chian School Of Business
We integrate an agency model with dynamic search equilibrium to study three important issues concerning executive compensation. We show that 1) the equilibrium pay-to-performance sensitivity depends positively on a firm’s specific risk, and negatively on its systematic risk, which offers a plausible explanation for the inconclusive empirical relationship between the pay-to-performance sensitivity and a firm’s total risk; 2) a growing economy simultaneously induces the growth in executive compensation and firm size; 3) the faster growth of executive compensation relative to the growth of firm size in the past decade is mostly due to the increase in firms’ specific risks.
The New Securocracy And The "Police Concept" Of Public Sector Worker Identity, Cliff Oswick, Stephen Matthias Harney, Gerard Hanlon
The New Securocracy And The "Police Concept" Of Public Sector Worker Identity, Cliff Oswick, Stephen Matthias Harney, Gerard Hanlon
Research Collection Lee Kong Chian School Of Business
In recent years we have seen the emergence of a "new securocracy," a generalization of responsibility for fighting terror within the public sector. Here we consider the nature and extent of this securocratic shift. In particular, the identity implications for the public sector worker are explored and we contend that there is an inherent tension between "serving" and "policing" the public in many public sector jobs. We also discuss the way in which a securocratic identity is simultaneously embraced and resisted. Finally, we present some tentative insights into an alternative way of thinking about identity work, which offers a means …
Nonparametric Prewhitening Estimators For Conditional Quantiles, Liangjun Su, Aman Ullah
Nonparametric Prewhitening Estimators For Conditional Quantiles, Liangjun Su, Aman Ullah
Research Collection School Of Economics
We define a nonparametric prewhitening method for estimating conditional quantiles based on local linear quantile regression. We characterize the bias, variance and asymptotic normality of the proposed estimator. Under weak conditions our estimator can achieve bias reduction and have the same variance as the local linear quantile estimators. A small set of Monte Carlo simulations is carried out to illustrate the performance of our estimators. An application to US gross domestic product data demonstrates the usefulness of our methodology.
Numerical Analysis Of Non-Constant Pure Rate Of Time Preference: A Model Of Climate Policy, Tomoki Fujii, Larry Karp
Numerical Analysis Of Non-Constant Pure Rate Of Time Preference: A Model Of Climate Policy, Tomoki Fujii, Larry Karp
Research Collection School Of Economics
When current decisions affect welfare in the far-distant future, as with climate change, the use of a declining pure rate of time preference (PRTP) provides potentially important modeling flexibility. The difficulty of analyzing models with non-constant PRTP limits their application. We describe and provide software (available online) to implement an algorithm to numerically obtain a Markov perfect equilibrium for an optimal control problem with non-constant PRTP. We apply this software to a simplified version of the numerical climate change model used in the Stern Review. For our calibration, the policy recommendations are less sensitive to the PRTP than widely believed. …
Active Kernel Learning, Steven C. H. Hoi, Rong Jin
Active Kernel Learning, Steven C. H. Hoi, Rong Jin
Research Collection School Of Computing and Information Systems
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A number of kernel learning algorithms have been proposed to learn kernel functions or matrices from side information (e.g., either labeled examples or pairwise constraints). However, most previous studies are limited to “passive” kernel learning in which side information is provided beforehand. In this paper we present a framework of Active Kernel Learning (AKL) that actively identifies the most informative pairwise constraints for kernel learning. The key challenge of active kernel learning is how to measure the informativeness of an example pair given its …
Semi-Supervised Ensemble Ranking, Steven C. H. Hoi, Rong Jin
Semi-Supervised Ensemble Ranking, Steven C. H. Hoi, Rong Jin
Research Collection School Of Computing and Information Systems
Ranking plays a central role in many Web search and information retrieval applications. Ensemble ranking, sometimes called meta-search, aims to improve the retrieval performance by combining the outputs from multiple ranking algorithms. Many ensemble ranking approaches employ supervised learning techniques to learn appropriate weights for combining multiple rankers. The main shortcoming with these approaches is that the learned weights for ranking algorithms are query independent. This is suboptimal since a ranking algorithm could perform well for certain queries but poorly for others. In this paper, we propose a novel semi-supervised ensemble ranking (SSER) algorithm that learns query-dependent weights when combining …
On Profiling Blogs With Representative Entries, Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun
On Profiling Blogs With Representative Entries, Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun
Research Collection School Of Computing and Information Systems
With an explosive growth of blogs, information seeking in blogosphere becomes more and more challenging. One example task is to find the most relevant topical blogs against a given query or an existing blog. Such a task requires concise representation of blogs for effective and efficient searching and matching. In this paper, we investigate a new problem of profiling a blog by choosing a set of m most representative entries from the blog, where m is a predefined number that is application-dependent. With the set of selected representative entries, applications on blogs avoid handling hundreds or even thousands of entries …
Estimating Local Optimums In Em Algorithm Over Gaussian Mixture Model, Zhenjie Zhang, Bing Tian Dai, Anthony K.H. Tung
Estimating Local Optimums In Em Algorithm Over Gaussian Mixture Model, Zhenjie Zhang, Bing Tian Dai, Anthony K.H. Tung
Research Collection School Of Computing and Information Systems
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is not guaranteed to converge to the global optimum. Instead, it stops at some local optimums, which can be much worse than the global optimum.
H-Dpop: Using Hard Constraints For Search Space Pruning In Dcop, Akshat Kumar, Adrian Petcu, Boi Faltings
H-Dpop: Using Hard Constraints For Search Space Pruning In Dcop, Akshat Kumar, Adrian Petcu, Boi Faltings
Research Collection School Of Computing and Information Systems
In distributed constraint optimization problems, dynamic programming methods have been recently proposed (e.g. DPOP). In dynamic programming many valuations are grouped together in fewer messages, which produce much less networking overhead than search. Nevertheless, these messages are exponential in size. The basic DPOP always communicates all possible assignments, even when some of them may be inconsistent due to hard constraints. Many real problems contain hard constraints that significantly reduce the space of feasible assignments. This paper introduces H-DPOP, a hybrid algorithm that is based on DPOP, which uses Constraint Decision Diagrams (CDD) to rule out infeasible assignments, and thus compactly …
Spreadsheet Modeling Of Equipment Acquisition Plan, Thin Yin Leong, Michelle L. F. Cheong
Spreadsheet Modeling Of Equipment Acquisition Plan, Thin Yin Leong, Michelle L. F. Cheong
Research Collection School Of Computing and Information Systems
Excel spreadsheets have been used in many classrooms to teach modeling and analysis of real business problems. This can be done with relative ease but often the modeling approach may be inappropriate and the analysis results not easily implemented. In this article, we illustrate these difficulties with the modeling of the number of equipment required in future years, given demand (historical and projected) and the amount of equipment held. We show how the desired output can be, and needs to be related to the given input. For this purpose, we apply the TREND function to predict data into future years. …
User Guidance Of Resource-Adaptive Systems, João Pedro Sousa, Rajesh Krishna Balan, Vahe Poladian, David Garlan, Mahadev Satyanarayanan
User Guidance Of Resource-Adaptive Systems, João Pedro Sousa, Rajesh Krishna Balan, Vahe Poladian, David Garlan, Mahadev Satyanarayanan
Research Collection School Of Computing and Information Systems
This paper presents a framework for engineering resource-adaptive software systems targeted at small mobile devices. The proposed framework empowers users to control tradeoffs among a rich set of ervicespecific aspects of quality of service. After motivating the problem, the paper proposes a model for capturing user preferences with respect to quality of service, and illustrates prototype user interfaces to elicit such models. The paper then describes the extensions and integration work made to accommodate the proposed framework on top of an existing software infrastructure for ubiquitous computing. The research question addressed here is the feasibility of coordinating resource allocation and …
Gender And Space In Early Modern England By Amanda Flather, Fiona Williamson
Gender And Space In Early Modern England By Amanda Flather, Fiona Williamson
Research Collection College of Integrative Studies
Amanda Flather’s research on gender and space offers a new and exciting perspective on social relations in the early modern period, despite a somewhat weak introduction. Drawing on sociological and anthropological theory, Flather argues that understanding the interaction between the historic spatial environment and the social construction of identity illuminates our understanding of gender and agency. Influenced by Anthony Giddens and Pierre Bourdieu, Flather explores the claim that space was not simply a passive backdrop against which gender identities were played out. How space was used within individual spaces allows the difference between prescription and practice to be brought to …
Image Worship In Chinese Popular Religion, Margaret Chan
Image Worship In Chinese Popular Religion, Margaret Chan
Research Collection School of Social Sciences
No abstract provided.
The Rise Of Agrarian Capitalism With Chinese Characteristics: Agricultural Modernization, Agribusiness And Collective Land Rights, Qian Forrest Zhang, John A. Donaldson
The Rise Of Agrarian Capitalism With Chinese Characteristics: Agricultural Modernization, Agribusiness And Collective Land Rights, Qian Forrest Zhang, John A. Donaldson
Research Collection School of Social Sciences
The article discusses the agricultural transformation taking place in the rural areas of China. Details about the Chinese laws regarding rural reform and the effect they have had on rural Chinese farmers and families are included. The authors examine the expansion of agrarian capitalism in China and describe the rise of agribusiness in rural Chinese areas. The practices of Chinese agribusinesses and the Chinese land rights laws are explored. The relationships between individual farmers and agribusinesses is also examined.
Women Warriors In Asia, Tobias Frederik Rettig, Vina Lanzona
Women Warriors In Asia, Tobias Frederik Rettig, Vina Lanzona
Research Collection School of Social Sciences
No abstract provided.
Mobile Interaction Design: Integrating Individual And Organizational Perspectives, Peter Tarasewich, Jun Gong, Fiona Fui-Hoon Nah, David Dewester
Mobile Interaction Design: Integrating Individual And Organizational Perspectives, Peter Tarasewich, Jun Gong, Fiona Fui-Hoon Nah, David Dewester
Research Collection School Of Computing and Information Systems
While mobile computing provides organizations with many information systems implementation alternatives, it is often difficult to predict the potential benefits, limitations, and problems with mobile applications. Given the inherent portability of mobile devices, many design and use issues can arise which do not exist with desktop systems. While many existing rules of thumb for design of stationary systems apply to mobile systems, many new ones emerge. Issues such as the security and privacy of information take on new dimensions, and potential conflicts can develop when a single mobile device serves both personal and business needs. This paper identifies potential issues …
Searching Correlated Objects In A Long Sequence, Ken C. K. Lee, Wang-Chien Lee, Donna Peuquet, Baihua Zheng
Searching Correlated Objects In A Long Sequence, Ken C. K. Lee, Wang-Chien Lee, Donna Peuquet, Baihua Zheng
Research Collection School Of Computing and Information Systems
Sequence, widely appearing in various applications (e.g. event logs, text documents, etc) is an ordered list of objects. Exploring correlated objects in a sequence can provide useful knowledge among the objects, e.g., event causality in event log and word phrases in documents. In this paper, we introduce correlation query that finds correlated pairs of objects often appearing closely to each other in a given sequence. A correlation query is specified by two control parameters, distance bound, the requirement of object closeness, and correlation threshold, the minimum requirement of correlation strength of result pairs. Instead of processing the query by scanning …
Bounded Model Checking Of Compositional Processes, Jun Sun, Yang Liu, Jin Song Dong, Jing Sun
Bounded Model Checking Of Compositional Processes, Jun Sun, Yang Liu, Jin Song Dong, Jing Sun
Research Collection School Of Computing and Information Systems
Verification techniques like SAT-based bounded model checking have been successfully applied to a variety of system models. Applying bounded model checking to compositional process algebras is, however, not a trivial task. One challenge is that the number of system states for process algebra models is not statically known, whereas exploring the full state space is computationally expensive. This paper presents a compositional encoding of hierarchical processes as SAT problems and then applies state-of-the-art SAT solvers for bounded model checking. The encoding avoids exploring the full state space for complex systems so as to deal with state space explosion. We developed …
A Self-Organizing Neural Model For Multimedia Information Fusion, Luong-Dong Nguyen, Kia-Yan Woon, Ah-Hwee Tan
A Self-Organizing Neural Model For Multimedia Information Fusion, Luong-Dong Nguyen, Kia-Yan Woon, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
This paper presents a self-organizing network model for the fusion of multimedia information. By synchronizing the encoding of information across multiple media channels, the neural model known as fusion Adaptive Resonance Theory (fusion ART) generates clusters that encode the associative mappings across multimedia information in a real-time and continuous manner. In addition, by incorporating a semantic category channel, fusion ART further enables multimedia information to be fused into predefined themes or semantic categories. We illustrate the fusion ART’s functionalities through experiments on two multimedia data sets in the terrorist domain and show the viability of the proposed approach.
Revenue Management In Business Services, Brenda Dietrich, Giuseppe A. Paleologo, Laura Wynter
Revenue Management In Business Services, Brenda Dietrich, Giuseppe A. Paleologo, Laura Wynter
Research Collection School Of Computing and Information Systems
A significant portion of the services industry is focused on providing services (medical, legal, financial, personal, and travel) to individuals. However, studies have shown that a less visible but rapidly growing segment of the service sector comprises firms that provide business functions to other businesses. The sector covers tasks such as payroll processing, procurement, and information systems management, as well as business consulting, technical support, call center operations, and software development. Firms may choose to purchase, rather than perform, these business functions to reduce costs, to mitigate risk, or simply to focus on their processes that provide marketplace differentiation. Transferring …
Ranked Reverse Nearest Neighbor Search, Ken C. K. Lee, Baihua Zheng, Wang-Chien Lee
Ranked Reverse Nearest Neighbor Search, Ken C. K. Lee, Baihua Zheng, Wang-Chien Lee
Research Collection School Of Computing and Information Systems
Given a set of data points P and a query point q in a multidimensional space, Reverse Nearest Neighbor (RNN) query finds data points in P whose nearest neighbors are q. Reverse k-Nearest Neighbor (RkNN) query (where k ≥ 1) generalizes RNN query to find data points whose kNNs include q. For RkNN query semantics, q is said to have influence to all those answer data points. The degree of q's influence on a data point p (∈ P) is denoted by κp where q is the κp-th NN of p. We introduce a new variant of RNN query, namely, …
Linear Relaxation Techniques For Task Management In Uncertain Settings, Pradeep Varakantham, Stephen F. Smith
Linear Relaxation Techniques For Task Management In Uncertain Settings, Pradeep Varakantham, Stephen F. Smith
Research Collection School Of Computing and Information Systems
In this paper, we consider the problem of assisting a busy user in managing her workload of pending tasks. We assume that our user is typically oversubscribed, and is invariably juggling multiple concurrent streams of tasks (or work flows) of varying importance and urgency. There is uncertainty with respect to the duration of a pending task as well as the amount of follow-on work that may be generated as a result of executing the task. The user’s goal is to be as productive as possible; i.e., to execute tasks that realize the maximum cumulative payoff. This is achieved by enabling …
Comments-Oriented Document Summarization: Understanding Documents With Readers' Feedback, Meishan Hu, Aixin Sun, Ee Peng Lim
Comments-Oriented Document Summarization: Understanding Documents With Readers' Feedback, Meishan Hu, Aixin Sun, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Comments left by readers on Web documents contain valuable information that can be utilized in different information retrieval tasks including document search, visualization, and summarization. In this paper, we study the problem of comments-oriented document summarization and aim to summarize a Web document (e.g., a blog post) by considering not only its content, but also the comments left by its readers. We identify three relations (namely, topic, quotation, and mention) by which comments can be linked to one another, and model the relations in three graphs. The importance of each comment is then scored by: (i) graph-based method, where the …
Mining Past-Time Temporal Rules From Execution Traces, David Lo, Siau-Cheng Khoo, Chao Liu
Mining Past-Time Temporal Rules From Execution Traces, David Lo, Siau-Cheng Khoo, Chao Liu
Research Collection School Of Computing and Information Systems
Specification mining is a process of extracting specifications, often from program execution traces. These specifications can in turn be used to aid program understanding, monitoring and verification. There are a number of dynamic-analysis-based specification mining tools in the literature, however none so far extract past time temporal expressions in the form of rules stating: whenever a series of events occurs, previously another series of events has happened. Rules of this format are commonly found in practice and useful for various purposes. Most rule-based specification mining tools only mine future-time temporal expression. Many past-time temporal rules like whenever a resource is …
Searching Blogs And News: A Study On Popular Queries, Aixin Sun, Meishan Hu, Ee Peng Lim
Searching Blogs And News: A Study On Popular Queries, Aixin Sun, Meishan Hu, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Blog/news search engines are very important channels to reach information about the real-time happenings. In this paper, we study the popular queries collected over one year period and compare their search results returned by a blog search engine (i.e., Technorati) and a news search engine (i.e., Google News). We observed that the numbers of hits returned by the two search engines for the same set of queries were highly correlated, suggesting that blogs often provide commentary to current events reported in news. As many popular queries are related to some events, we further observed a high cohesiveness among the returned …
Empirical Analysis Of Certificate Revocation Lists, Daryl Walleck, Yingjiu Li, Shouhuai Xu
Empirical Analysis Of Certificate Revocation Lists, Daryl Walleck, Yingjiu Li, Shouhuai Xu
Research Collection School Of Computing and Information Systems
Managing public key certificates revocation has long been a central issue in public key infrastructures. Though various certificate revocation mechanisms have been proposed to address this issue, little effort has been devoted to the empirical analysis of real-world certificate revocation data. In this paper, we conduct such an empirical analysis based on a large amount of data collected from VeriSign. Our study enables us to understand how long a revoked certificate lives and what the difference is in the lifetime of revoked certificates by certificate types, geographic locations, and organizations. Our study also provides a solid foundation for future research …
Mining Temporal Rules For Software Maintenance, David Lo, Siau-Cheng Khoo, Chao Liu
Mining Temporal Rules For Software Maintenance, David Lo, Siau-Cheng Khoo, Chao Liu
Research Collection School Of Computing and Information Systems
Software evolution incurs difficulties in program comprehension and software verification, and hence it increases the cost of software maintenance. In this study, we propose a novel technique to mine from program execution traces a sound and complete set of statistically significant temporal rules of arbitrary lengths. The extracted temporal rules reveal invariants that the program observes, and will consequently guide developers to understand the program behaviors, and facilitate all downstream applications such as verification and debugging. Different from previous studies that were restricted to mining two-event rules (e.g., (lock) →(unlock)), our algorithm discovers rules of arbitrary lengths. In order to …