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Articles 8011 - 8040 of 8679
Full-Text Articles in Entire DC Network
Tournament Versus Fitness Uniform Selection, Shane Legg, Marcus Hutter, Akshat Kumar
Tournament Versus Fitness Uniform Selection, Shane Legg, Marcus Hutter, Akshat Kumar
Research Collection School Of Computing and Information Systems
In evolutionary algorithms a critical parameter that must be tuned is that of selection pressure. If it is set too low then the rate of convergence towards the optimum is likely to be slow. Alternatively if the selection pressure is set too high the system is likely to become stuck in a local optimum due to a loss of diversity in the population. The recent Fitness Uniform Selection Scheme (FUSS) is a conceptually simple but somewhat radical approach to addressing this problem - rather than biasing the selection towards higher fitness, FUSS biases selection towards sparsely populated fitness levels. In …
The Effect Of Competitive Advertising Interference On Sales For Packaged Goods, Andre Bonfrer, Peter J. Danaher, Sanjay K. Dhar
The Effect Of Competitive Advertising Interference On Sales For Packaged Goods, Andre Bonfrer, Peter J. Danaher, Sanjay K. Dhar
Research Collection Lee Kong Chian School Of Business
Competitive advertising interference arises when viewers of advertising for a focal brand are also exposed to advertising messages for competing brands within a short time period, say one week for TV advertising. Although competitive advertising interference has been shown to reduce ad recall and recognition and brand evaluation measures, no studies have examined the impact on sales. In this research we use a market response model of sales for two grocery categories in the Chicago area to investigate possible advertising interference effects. The results show that competitive interference effects are strong. When one or more competing brands advertise in the …
Multi-Period Multi-Dimensional Knapsack Problem And Its Application To Available-To-Promise, Hoong Chuin Lau, M. K. Lim
Multi-Period Multi-Dimensional Knapsack Problem And Its Application To Available-To-Promise, Hoong Chuin Lau, M. K. Lim
Research Collection School Of Computing and Information Systems
This paper is motivated by a recent trend in logistics scheduling, called Available-to-Promise. We model this problem as the multi-period multi-dimensional knapsack problem. We provide some properties for a special case of a single-dimensional problem. Based on insights obtained from these properties, we propose a two-phase heuristics for solving the multi-dimensional problem. We also propose a novel time-based ant colony optimization algorithm. The quality of the solutions generated is verified through experiments, where we demonstrate that the computational time is superior compared with integer programming to achieve solutions that are within a small percentage of the upper bounds.
Toolglasses, Marking Menus, And Hotkeys: A Comparison Of One And Two-Handed Command Selection Techniques, Daniel L. Odell, Richard C. Davis, Andrew Smith, Paul K. Wright
Toolglasses, Marking Menus, And Hotkeys: A Comparison Of One And Two-Handed Command Selection Techniques, Daniel L. Odell, Richard C. Davis, Andrew Smith, Paul K. Wright
Research Collection School Of Computing and Information Systems
This paper introduces a new input technique, bimanual marking menus, and compares its performance with five other techniques: static toolbars, hotkeys, grouped hotkeys, marking menus, and toolglasses. The study builds on previous work by setting the comparison in a commonly encountered task, shape drawing. In this context, grouped hotkeys and bimanual marking menus were found to be the fastest. Subjectively, the most pre-ferred input method was bimanual marking menus. Toolglass performance was unexpectedly slow, which hints at the importance of low-level toolglass imple-mentation choices.
Power Adaptation Based Optimization For Energy Efficient Reliable Wireless Paths, Suman Banerjee, Archan Misra
Power Adaptation Based Optimization For Energy Efficient Reliable Wireless Paths, Suman Banerjee, Archan Misra
Research Collection School Of Computing and Information Systems
We define a transmission power adaptation-based routing technique that finds optimal paths for minimum energy reliable data transfer in multi-hop wireless networks. This optimal choice of the transmission power depends on the link distance between the two nodes and the channel characteristics. Typical energy efficient routing techniques use a transmission power such that the received signal power at the destination minimally exceeds a desired threshold signal strength level. In this paper we argue that such a choice of the transmission power does not always lead to optimal energy routes, since it does not consider differences in the receiver noise levels.We …
Stereotype Reactance At The Bargaining Table: The Effect Of Stereotype Activation And Power On Claiming And Creating Value, Laura J. Kray, Jochen Reb, Adam D. Galinsky, Leigh Thompson
Stereotype Reactance At The Bargaining Table: The Effect Of Stereotype Activation And Power On Claiming And Creating Value, Laura J. Kray, Jochen Reb, Adam D. Galinsky, Leigh Thompson
Research Collection Lee Kong Chian School Of Business
Two experiments explored the hypothesis that the impact of activating gender stereotypes on negotiated agreements in mixed-gender negotiations depends on the manner in which the stereo-type is activated (explicitly vs. implicitly) and the content of the stereotype (linking negotiation performance to stereotypically male vs. stereotypically female traits). Specifically, two experiments investigated the generality and limits of stereotype reactance. The results of Experiment 1 suggest that negotiated outcomes become more one-sided in favor of the high power negotiator when masculine traits are explicitly linked to negotiator effectiveness. In contrast, the results of Experiment 2 suggest that negotiated outcomes are more integrative …
Revised Estimates Of Dimension And Exercise Variance Components In Assessment Center Postexercise Dimension Ratings, Charles E. Lance, Tracy A. Lambert, Amanda G. Gewin, Filip Lievens, James M. Conway
Revised Estimates Of Dimension And Exercise Variance Components In Assessment Center Postexercise Dimension Ratings, Charles E. Lance, Tracy A. Lambert, Amanda G. Gewin, Filip Lievens, James M. Conway
Research Collection Lee Kong Chian School Of Business
The authors reanalyzed assessment center (AC) multitrait-multimethod (MTMM) matrices containing correlations among postexercise dimension ratings (PEDRs) reported by F. Lievens and J. M. Conway (2001). Unlike F. Lievens and J. M. Conway, who used a correlated dimension-correlated uniqueness model, we used a different set of confirmatory-factor-analysis-based models (1-dimension-correlated Exercise and 1-dimension-correlated uniqueness models) to estimate dimension and exercise variance components in AC PEDRs. Results of reanalyses suggest that, consistent with previous narrative reviews, exercise variance components dominate over dimension variance components after all. Implications for AC construct validity and possible redirections of research on the validity of ACs are discussed.
Behind Closed Doors: Governmental Transparency Gives Way To Secrecy, Ann Florini
Behind Closed Doors: Governmental Transparency Gives Way To Secrecy, Ann Florini
Research Collection School of Social Sciences
A few years ago, I sat at a table in a Washington think-tank with a group of mid-level Japanese officials. They were spending several weeks in the United States on a study tour, and I was meeting with them to give a talk on governance and access to information. Japan had recently passed, but not yet implemented, a sweeping freedom of information law, and the bureaucrats were puzzled about how they were to implement it. Or even whether they should implement it. After all, as one earnest young woman asked, if the government starts giving people information, they might want …
Contextualism Reconsidered: Some Skeptical Reflections, Chandran Kukathas
Contextualism Reconsidered: Some Skeptical Reflections, Chandran Kukathas
Research Collection School of Social Sciences
A number of theorists have touted the merits of the contextual approach to political theory, arguing that a close examination of real-world cases is more likely to yield both theoretical insight and practical solutions to pressing problems. This is particularly evident, it is argued, in the field of multiculturalism in political theory. The present paper offers some skeptical reflections on this view, arguing the merits of a view of political theory which sees the contextual approach as less distinctive than its proponents imagine, and less useful than many would suggest. It maintains that there are serious limits to what political …
A Semi-Parametric Two-Component Compound Mixture Model And Its Application To Estimating Malaria Attributable Fractions, Jing Qin, Denis H. Y. Leung
A Semi-Parametric Two-Component Compound Mixture Model And Its Application To Estimating Malaria Attributable Fractions, Jing Qin, Denis H. Y. Leung
Research Collection School Of Economics
Malaria remains a major epidemiologic problem in many developing countries. Malaria is defined as the presence of parasites and symptoms (usually fever) due to the parasites. In endemic areas, an individual may have symptoms attributable either to malaria or to other causes. From a clinical viewpoint, it is important to correctly diagnose an individual who has developed symptoms so that the appropriate treatments can be given. From an epidemiologic and economic viewpoint, it is important to determine the proportion of malaria-affected cases in individuals who have symptoms so that policies on intervention program can be developed. Once symptoms have developed …
Social Trust And Economic Governance, Fali Huang
Social Trust And Economic Governance, Fali Huang
Research Collection School Of Economics
The paper investigates the dynamic relationship between social trust and economic governance using a principal-agent model with stochastic returns. To mitigate the inherent moral hazard problem both intrinsic and extrinsic incentives are useful. The cooperative tendency of an agent measures his intrinsic discipline against shirking, the distribution of which characterizes social trust in society. The economic governance methods include direct monitoring and efficiency wage. The main results are the following. An agent with a higher cooperative tendency needs less monitoring and a lower wage to make effort, which brings higher profit for the principal. But competition among principals for more …
What Has Luck Got To Do With Economic Development? An Interpretation Of Resurgent Asia's Growth Experience, Hing-Man Leung, Swee Liang Tan, Zhenlin Yang
What Has Luck Got To Do With Economic Development? An Interpretation Of Resurgent Asia's Growth Experience, Hing-Man Leung, Swee Liang Tan, Zhenlin Yang
Research Collection School Of Economics
This paper critically reexamines the belief, currently gathering strength in the literature, that economic development depends on good luck rather than on good policy, and that Prometheus is unchained by chance. While it is impossible to disprove the role of luck in growth, we argue that luck is endogenous, and good luck is a function of good policy. Luck favours those who strive. Again contrary to common belief, we show that resurgent Asian economies have endured more, not less, than their fair share of economic volatility. They learned their lessons by success and failures, and luck is endogenous through learning-by-investing.
Organic Production Systems: What The Biological Cell Can Teach Us About Manufacturing, Lieven Demeester, Knut Eichler, Christoph H. Loch
Organic Production Systems: What The Biological Cell Can Teach Us About Manufacturing, Lieven Demeester, Knut Eichler, Christoph H. Loch
Research Collection Lee Kong Chian School Of Business
Biological cells run complicated and sophisticated production systems. The study of the cell's production technology provides us with insights that are potentially useful in industrial manufacturing. When comparing cell metabolism with manufacturing techniques in industry, we find some striking commonalities, but also some important differences. Like today's well-run factories, the cell operates a very lean production system, assures quality at the source, and uses component commonality to simplify production. While we can certainly learn from how the cell accomplishes these parallels, it is even more interesting to look at how the cell operates differently. In biological cells, all products and …
Phoneme-Based Transliteration Of Foreign Names For Oov Problem, Wei Gao, Kam-Fai Wong, Wai Lam
Phoneme-Based Transliteration Of Foreign Names For Oov Problem, Wei Gao, Kam-Fai Wong, Wai Lam
Research Collection School Of Computing and Information Systems
A proper noun dictionary is never complete rendering name translation from English to Chinese ineffective. One way to solve this problem is not to rely on a dictionary alone but to adopt automatic translation according to pronunciation similarities, i.e. to map phonemes comprising an English name to the phonetic representations of the corresponding Chinese name. This process is called transliteration. We present a statistical transliteration method. An efficient algorithm for aligning phoneme chunks is described. Unlike rule-based approaches, our method is data-driven. Compared to source-channel based statistical approaches, we adopt a direct transliteration model, i.e. the direction of probabilistic estimation …
Efficient Group Pattern Mining Using Data Summarization, Yida Wang, Ee Peng Lim, San-Yih Hwang
Efficient Group Pattern Mining Using Data Summarization, Yida Wang, Ee Peng Lim, San-Yih Hwang
Research Collection School Of Computing and Information Systems
In group pattern mining, we discover group patterns from a given user movement database based on their spatio-temporal distances. When both the number of users and the logging duration are large, group pattern mining algorithms become very inefficient. In this paper, we therefore propose a spherical location summarization method to reduce the overhead of mining valid 2-groups. In our experiments, we show that our group mining algorithm using summarized data may require much less execution time than that using non-summarized data.
Effects Of Query Complexity And Learning On Novice User Query Performance With Conceptual And Logical Database Interfaces, Keng Siau, Hock Chuan Chan, Kwok Kee Wei
Effects Of Query Complexity And Learning On Novice User Query Performance With Conceptual And Logical Database Interfaces, Keng Siau, Hock Chuan Chan, Kwok Kee Wei
Research Collection School Of Computing and Information Systems
Users see the database interface as the database system. A good interface enables them to formulate queries better. The semantics communicated through the interface can be classified according to abstraction levels, such as the conceptual and logical levels. With the conceptual interface, interaction is in terms of real-world concepts such as entities, objects and relationships. Current user-database interaction is mainly based on the logical interface, where interaction is in terms of abstract database concepts such as relations and joins. Many researchers argue that end users will perform better with the conceptual interface. This research tested this claim, as well as …
An Information-Theoretic Framework For Optimal Location Tracking In Multi-System 4g Wireless Networks, Archan Misra, Abhishek Roy, Sajal K. Das
An Information-Theoretic Framework For Optimal Location Tracking In Multi-System 4g Wireless Networks, Archan Misra, Abhishek Roy, Sajal K. Das
Research Collection School Of Computing and Information Systems
An information-theoretic framework is developed for optimal location management in multisystem, fourth generation (4G) wireless networks. The framework envisions that each individual subsystem operates fairly independently, and does not require public knowledge of individual subnetwork topologies. To capture the variation in paging and location update costs in this heterogeneous environment, the location management problem is formulated in terms of a new concept of weighted entropy. The update process is based on the Lempel-Ziv compression algorithms, which are applied to a vector-valued sequence consisting of both the mobile's movement pattern and its session activity state. Three different tracking strategies which differ …
Clash: A Protocol For Internet-Scale Utility-Oriented Distributed Computing, Archan Misra, Paul Castro, Jinwon Lee
Clash: A Protocol For Internet-Scale Utility-Oriented Distributed Computing, Archan Misra, Paul Castro, Jinwon Lee
Research Collection School Of Computing and Information Systems
Distributed hash table (DHT) overlay networks offer an efficient and robust technique for wire-area data storage and queries. Workload from real applications that use DHT networks will likely exhibit significant skews that can result in bottlenecks and failures that limit the overall scalability of the DHT approach. We present the content and load-aware scalable hashing (CLASH) protocol that can enhance the load distribution behavior of a DHT. CLASH relies on a variable-length identifier key scheme, where the length of any individual key is a function of load. CLASH uses variable-length keys to cluster content-related objects on single nodes to achieve …
Effects Of Board Structure On Firm Performance: A Comparison Of Japan And Australia, Ingrid Bonn, Toru Yoshikawa, Phillip H. Phan
Effects Of Board Structure On Firm Performance: A Comparison Of Japan And Australia, Ingrid Bonn, Toru Yoshikawa, Phillip H. Phan
Research Collection Lee Kong Chian School Of Business
This article compares the effects of board size, proportion of female directors, proportion of outside directors and average age of directors on firm performance in Japanese and Australian firms. We found that board size and age of directors were negatively associated with the performance of Japanese firms. For Australian firms, outsider ratio and female director ratio were positively associated with performance.
Equity Style Returns And Institutional Investor Flows, Kenneth A. Froot, Melvyn Teo
Equity Style Returns And Institutional Investor Flows, Kenneth A. Froot, Melvyn Teo
Research Collection Lee Kong Chian School Of Business
This paper explores institutional investor trades in stocks grouped by style and the relationship of these trades with equity market returns. It aggregates transactions drawn from a large universe of approximately $6 trillion of institutional funds. To analyze style behavior, we assign equities to deciles in each of five style dimensions: size, value/growth, cyclical/defensive, sector, and country. We find, first, strong evidence that investors organize and trade stocks across style-driven lines. This appears true for groupings both strongly and weakly related to fundamentals (e.g., industry orcountry groupings versus size or value/growth deciles). Second, the positive linkage between flows and returns …
Modeling The Firm-Size Distribution Using Box-Cox Heteroscedastic Regression, Zhenlin Yang, Yiu Kuen Tse
Modeling The Firm-Size Distribution Using Box-Cox Heteroscedastic Regression, Zhenlin Yang, Yiu Kuen Tse
Research Collection School Of Economics
Using the Box-Cox regression model with heteroscedasticity (BCHR), we re‐examine the size distribution of the Portuguese manufacturing firms studied by Machado and Mata (2000) using the Box-Cox quantile regression (BCQR) method. We show that the BCHR model compares favourably against the BCQR method. In particular, the BCHR model can answer the key questions addressed by the BCQR method, with the advantage that the estimated quantile functions are monotonic. Furthermore, confidence intervals of the regression quantiles are easy to compute, and the estimation of the Box-Cox heteroscedastic regression is straight forward.
Transaction-Data Analysis Of Marked Durations And Their Implications For Market Microstructure, Anthony S. Tay, Christopher Ting, Yiu Kuen Tse, Mitchell Warachka
Transaction-Data Analysis Of Marked Durations And Their Implications For Market Microstructure, Anthony S. Tay, Christopher Ting, Yiu Kuen Tse, Mitchell Warachka
Research Collection Lee Kong Chian School Of Business
We propose an Autoregressive Conditional Marked Duration (ACMD) model for the analysis of irregularly spaced transaction data. Based on the Autoregressive Conditional Duration (ACD) model, the ACMD model assigns marks to characterize events such as tick movements and trade directions (buy/sell). Applying the ACMD model to tick movements, we study the influence of trade frequency, direction and size on price dynamics, volatility and the permanent and transitory price impacts of trade. We also apply the ACMD model to analyze trade-direction data and estimate the probability of informed trading (PIN). We find that trade frequency has a critical role in price …
A Modeling Framework For Computing Lifetime And Information Capacity In Wireless Sensor Networks, Enrique Duarte-Melo, Mingyan Liu, Archan Misra
A Modeling Framework For Computing Lifetime And Information Capacity In Wireless Sensor Networks, Enrique Duarte-Melo, Mingyan Liu, Archan Misra
Research Collection School Of Computing and Information Systems
In this paper we investigate the expected lifetime and information capacity, defined as the maximum amount of data (bits) transferred before the first sensor node death due to energy depletion, of a data-gathering wireless sensor network. We develop a fluidflow based computational framework that extends the existing approach, which requires precise knowledge of the layout/deployment of the network, i.e., exact sensor positions. Our method, on the other hand, views a specific network deployment as a particular instance (sample path) from an underlying distribution of sensor node layouts and sensor data rates.
Group Nearest Neighbor Queries, Dimitris Papadias, Qiongmao Shen, Yufei Tao, Kyriakos Mouratidis
Group Nearest Neighbor Queries, Dimitris Papadias, Qiongmao Shen, Yufei Tao, Kyriakos Mouratidis
Research Collection School Of Computing and Information Systems
Given two sets of points P and Q, a group nearest neighbor (GNN) query retrieves the point(s) of P with the smallest sum of distances to all points in Q. Consider, for instance, three users at locations q1 , q2 and q3 that want to find a meeting point (e.g., a restaurant); the corresponding query returns the data point p that minimizes the sum of Euclidean distances |pqi| for 1 ≤i ≤3. Assuming that Q fits in memory and P is indexed by an R-tree, we propose several algorithms for finding the group nearest neighbors efficiently. As a second step, …
Hiding Data Accesses In Steganographic File System, Xuan Zhou, Hwee Hwa Pang, Kian-Lee Tan
Hiding Data Accesses In Steganographic File System, Xuan Zhou, Hwee Hwa Pang, Kian-Lee Tan
Research Collection School Of Computing and Information Systems
To support ubiquitous computing, the underlying data have to be persistent and available anywhere-anytime. The data thus have to migrate from devices local to individual computers, to shared storage volumes that are accessible over open network. This potentially exposes the data to heightened security risks. We propose two mechanisms, in the context of a steganographic file system, to mitigate the risk of attacks initiated through analyzing data accesses from user applications. The first mechanism is intended to counter attempts to locate data through updates in between snapshots - in short, update analysis. The second mechanism prevents traffic analysis - identifying …
Knowledge-Based Support In A Group Decision-Making Context: An Expert-Novice Comparison, Fiona Fui-Hoon Nah, I. Benbasat
Knowledge-Based Support In A Group Decision-Making Context: An Expert-Novice Comparison, Fiona Fui-Hoon Nah, I. Benbasat
Research Collection School Of Computing and Information Systems
This research examines the use of knowledge-based and explanation facilities to support group decision making of experts versus novices. Consistent with predictions from the persuasion literature, our results show that experts exhibit a higher level of criticality and involvement in their area of expertise; this not only decreases their likelihood of being persuaded by a knowledge-based system, but also accounts for a lower group consensus among experts as compared to novices. Novices are more easily persuaded by the system and find the system to be more useful than experts do. This research integrates theories from the persuasion literature to understand …
National Insecurities: Humiliation, Salvation And Chinese Nationalism, William A. Callahan
National Insecurities: Humiliation, Salvation And Chinese Nationalism, William A. Callahan
Research Collection School of Social Sciences
While I was researching the South China Sea disputes between China, Vietnam, and the Philippines, I came upon an unlikely refer ence. In an otherwise hard-nosed analysis of the issue, a noted Chi nese expert cited a book called the Atlas of Shame. This odd juxta position of security studies, territoriality, and emotion piqued my interest, and I asked a friend in Beijing to track down this curious book. Once I got a copy of the Atlas of the Century of National Humili ation in Modern China, the correct title, I was fascinated by what seemed to be a unique …
Prediction Of Rna-Binding Proteins From Primary Sequence By A Support Vector Machine Approach., Lian Yi Han, Cong Zhong Cai, Siaw Ling Lo, Maxey Chung, Yu Zong Chen
Prediction Of Rna-Binding Proteins From Primary Sequence By A Support Vector Machine Approach., Lian Yi Han, Cong Zhong Cai, Siaw Ling Lo, Maxey Chung, Yu Zong Chen
Research Collection School Of Computing and Information Systems
Elucidation of the interaction of proteins with different molecules is of significance in the understanding of cellular processes. Computational methods have been developed for the prediction of protein-protein interactions. But insufficient attention has been paid to the prediction of protein-RNA interactions, which play central roles in regulating gene expression and certain RNA-mediated enzymatic processes. This work explored the use of a machine learning method, support vector machines (SVM), for the prediction of RNA-binding proteins directly from their primary sequence. Based on the knowledge of known RNA-binding and non-RNA-binding proteins, an SVM system was trained to recognize RNA-binding proteins. A total …
An Automated Algorithm For Extracting Website Skeleton, Zehua Liu, Wee-Keong Ng, Ee Peng Lim
An Automated Algorithm For Extracting Website Skeleton, Zehua Liu, Wee-Keong Ng, Ee Peng Lim
Research Collection School Of Computing and Information Systems
The huge amount of information available on the Web has attracted many research efforts into developing wrappers that extract data from webpages. However, as most of the systems for generating wrappers focus on extracting data at page-level, data extraction at site-level remains a manual or semi-automatic process. In this paper, we study the problem of extracting website skeleton, i.e. extracting the underlying hyperlink structure that is used to organize the content pages in a given website. We propose an automated algorithm, called the Sew algorithm, to discover the skeleton of a website. Given a page, the algorithm examines hyperlinks in …
Security Analysis Of Some Proxy Signature, Guilin Wang, Feng Bao, Jianying Zhou, Robert H. Deng
Security Analysis Of Some Proxy Signature, Guilin Wang, Feng Bao, Jianying Zhou, Robert H. Deng
Research Collection School Of Computing and Information Systems
A proxy signature scheme allows an entity to delegate his/her signing capability to another entity in such a way that the latter can sign messages on behalf of the former. Such schemes have been suggested for use in a number of applications, particularly in distributed computing where delegation of rights is quite common. Followed by the first schemes introduced by Mambo, Usuda and Okamoto in 1996, a number of new schemes and improvements have been proposed. In this paper, we present a security analysis of four such schemes newly proposed. By successfully identifying several interesting forgery attacks, we show that …