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Articles 8851 - 8880 of 10054
Full-Text Articles in Entire DC Network
A Lateral Symmetry Approach To Percentage-Based Hybrid Pattern (Php) Training, Sheng-Uei Guan, Kiruthika Ramanathan
A Lateral Symmetry Approach To Percentage-Based Hybrid Pattern (Php) Training, Sheng-Uei Guan, Kiruthika Ramanathan
Research Collection School Of Computing and Information Systems
In this paper, we investigate the application of lateral symmetry to supervised learning using genetic algorithms. The hypothesis is motivated by the presence of symmetry in the animal brain and by research results showing approximately equal task division between the two hemispheres of the brain. In this paper, each training pattern is considered a task. By applying the concept of lateral symmetry, we use global training (a typically right brained activity) to learn half the tasks and local training (a left brained activity) to learn the rest of the tasks. We verified the use of this Percentage-based Pattern (PHP) training …
Increasing Innovation Through Identity Integration., Chi-Ying Cheng, Jeffrey Sanchez-Burks, Fiona Lee
Increasing Innovation Through Identity Integration., Chi-Ying Cheng, Jeffrey Sanchez-Burks, Fiona Lee
Research Collection School of Social Sciences
Innovation involves bridging existing knowledge systems from different areas. We propose that individuals who can integrate multiple social identities are better at combining knowledge systems associated with each identity, and thus exhibit higher levels of innovation. Three studies, each probing different types of social identities, provide evidence for this proposition. A laboratory experiment showed that Asian American biculturals who perceived their multiple cultural identities as compatible (high Identity Integration or high II) exhibited higher levels of innovation in creating new Asian-American recipes than biculturals who perceived their multiple cultural identities as conflicting (low Identity Integration or low II). A field …
Theoretical And Practical Complexity Of Modeling Methods, John Erickson, Keng Siau
Theoretical And Practical Complexity Of Modeling Methods, John Erickson, Keng Siau
Research Collection School Of Computing and Information Systems
The estimation of theoretical and practical complexity of a system development method is discussed. Executable model capability allow developers to transform models developed during the Systems Analysis and Design portion of the systems development process into working applications. Systems are becoming more complex mostly because of influencing factors such as required and enhanced functionality, interoperability, and security. Other trends that impact the complexity of applications include systems such as enterprise resource planning, supply chain management, and customer relationship management. These types of systems are very large and complex and require close internal cooperation for the implementing organizations individually and also …
Innovation Stack - Choosing Innovations For Commercialization, Arcot Desai Narasimhalu
Innovation Stack - Choosing Innovations For Commercialization, Arcot Desai Narasimhalu
Research Collection School Of Computing and Information Systems
This paper describes a method for enterprises to order the innovations of interest according to a number of parameters including their own business strategy and core competencies. The method takes into account aspects such as ability to create entry barriers and complementary assets. Enterprises can now use this method to both filter out innovations that may not be of interest to them and then order the short listed or selected innovations according to their attractiveness.
Century: Automated Aspects Of Patient Care, Marion Blount, John Davis, Maria Ebling, Ji Hyun Kim, Kyun Hyun Kim, Kang Yoon Lee, Archan Misra, Se Hun Park, Daby Sow, Young Ju Tak, Min Wang, Karen Witting
Century: Automated Aspects Of Patient Care, Marion Blount, John Davis, Maria Ebling, Ji Hyun Kim, Kyun Hyun Kim, Kang Yoon Lee, Archan Misra, Se Hun Park, Daby Sow, Young Ju Tak, Min Wang, Karen Witting
Research Collection School Of Computing and Information Systems
Remote health monitoring affords the possibility of improving the quality of health care by enabling relatively inexpensive out-patient care. However, remote health monitoring raises new a problem: the potential for data explosion in health care systems. To address this problem, the remote health monitoring systems must be integrated with analysis tools that provide automated trend analysis and event detection in real time. In this paper, we propose an overview of Century, an extensible framework for analysis of large numbers of remote sensor-based medical data streams.
A Genetic Algorithm For Cellular Manufacturing Design And Layout, Xiaodan Wu, Chao-Hsien Chu, Yunfeng Wang, Weili Yan
A Genetic Algorithm For Cellular Manufacturing Design And Layout, Xiaodan Wu, Chao-Hsien Chu, Yunfeng Wang, Weili Yan
Research Collection School Of Computing and Information Systems
Cellular manufacturing (CM) is an approach that can be used to enhance both flexibility and efficiency in today’s small-to-medium lot production environment. The design of a CM system (CMS) often involves three major decisions: cell formation, group layout, and group schedule. Ideally, these decisions should be addressed simultaneously in order to obtain the best results. However, due to the complexity and NP-complete nature of each decision and the limitations of traditional approaches, most researchers have only addressed these decisions sequentially or independently. In this study, a hierarchical genetic algorithm is developed to simultaneously form manufacturing cells and determine the group …
Measuring Knowledge Sharing In Open Source Software Development Teams, Y. Long, Keng Siau, K. Howell
Measuring Knowledge Sharing In Open Source Software Development Teams, Y. Long, Keng Siau, K. Howell
Research Collection School Of Computing and Information Systems
The study provides an approach to measure the extent of knowledge sharing in Open Source Software (OSS) development in terms of two aspects: the quality of knowledge sharing which is indicated by the helpfulness of the messages, and the quantity of knowledge sharing which is indicated by the volume of the messages. The study developed a computer-aided content analysis program to assess the helpfulness of the messages based on a set of keywords and the length of the messages. The approach was applied to measure the extent of knowledge sharing of 150 OSS projects. The results further confirmed that the …
Design Science Research On Systems Analysis And Design: The Case Of Uml, X. Tan, Keng Siau, J. Erickson
Design Science Research On Systems Analysis And Design: The Case Of Uml, X. Tan, Keng Siau, J. Erickson
Research Collection School Of Computing and Information Systems
Design science in the IS discipline seeks to create artifacts that embody the ideas, practices, technical capabilities, and products required to efficiently accomplish the analysis, design, implementation, and use of information systems (Hevner et al 2006). SA&D research, being close to the design science paradigm, has suffered from a lack of appreciation from the behavioral science paradigm. To provide a paradigmatic foundation, we propose a conceptual framework for SA&D research. The framewor was developed based on several essays that systematically articulate the design science paradigm in the IS field. Using this framework, we reviewed some UML papers that appeared in …
Near-Duplicate Keyframe Identification With Interest Point Matching And Pattern Learning, Wan-Lei Zhao, Chong-Wah Ngo, Hung-Khoon Tan, Xiao Wu
Near-Duplicate Keyframe Identification With Interest Point Matching And Pattern Learning, Wan-Lei Zhao, Chong-Wah Ngo, Hung-Khoon Tan, Xiao Wu
Research Collection School Of Computing and Information Systems
This paper proposes a new approach for near-duplicate keyframe (NDK) identification by matching, filtering and learning of local interest points (LIPs) with PCA-SIFT descriptors. The issues in matching reliability, filtering efficiency and learning flexibility are novelly exploited to delve into the potential of LIP-based retrieval and detection. In matching, we propose a one-to-one symmetric matching (OOS) algorithm which is found to be highly reliable for NDK identification, due to its capability in excluding false LIP matches compared with other matching strategies. For rapid filtering, we address two issues: speed efficiency and search effectiveness, to support OOS with a new index …
Enhanced Security By Os-Oriented Encapsulation In Tpm-Enabled Drm, Yongdong Wu, Feng Bao, Robert H. Deng, Marc Mouffron, Frederic Rousseau
Enhanced Security By Os-Oriented Encapsulation In Tpm-Enabled Drm, Yongdong Wu, Feng Bao, Robert H. Deng, Marc Mouffron, Frederic Rousseau
Research Collection School Of Computing and Information Systems
The Trusted Computing Group (TCG) defines the specifications for the Trusted Platform Module (TPM) and corresponding trust mechanisms that allow a TPM-enabled platform to run only authenticated software. For example, the operating system (OS) can use the facilities provided by the TPM to authenticate a Digital Rights Management (DRM) application before allowing it to run. However TCG does not provide any clear specification on what kind of software can be regarded as trusted and hence be authenticated. In fact it is unlikely that there will be a clear line between the software that should be authenticated and those should not, …
Re-Engineering Xid Technologies - From Enterprise To Consumer Markets, Arcot Desai Narasimhalu
Re-Engineering Xid Technologies - From Enterprise To Consumer Markets, Arcot Desai Narasimhalu
Research Collection School Of Computing and Information Systems
Several studies have addressed the process of taking ideas to markets but few have shared the experiences of start up companies that have reexamined their product strategies and repositioned their products and services for better revenues and profits. This paper reports the efforts related to repositioning of XID technologies, a start up company, into new markets while continuing to exploit its core technical competencies.
Are You Too Smart For Your Own Good?, M. Thulasidas
Are You Too Smart For Your Own Good?, M. Thulasidas
Research Collection School Of Computing and Information Systems
Knowledge can be a bad thing, if others are taking credit for it. TECHNICAL knowledge is not always a good thing for you in the modern workplace.
Mapping Better Business Strategies With Gis, Tin Seong Kam
Mapping Better Business Strategies With Gis, Tin Seong Kam
Research Collection School Of Computing and Information Systems
The value of location as a business measure is fast becoming an important consideration for organisations. GIS (Geographical Information Systems), with its capability to manage, display, analyse business information spatially, is emerging as a powerful location intelligence tool. In the US, Starbucks, Blockbuster, Hyundai, and thousands of other businesses use census data and GIS software to help them understand what types of people buy their products and services, and how to better market to these consumers. For example, McDonald’s in Japan uses a GIS system to overlay demographic information on maps to help identify promising new store sites. Singapore Management …
What They Know Vs. What They Do: How Acquirers Leverage Technology Acquisitions, Phanish Puranam, Kannan Srikanth
What They Know Vs. What They Do: How Acquirers Leverage Technology Acquisitions, Phanish Puranam, Kannan Srikanth
Research Collection Lee Kong Chian School Of Business
Existing research suggests that in acquisitions of small technology-based firms by large established firms post-merger integration both enables and hinders acquirers' efforts to leverage the technology of acquired firms. This apparent paradox can be resolved once we account for the qualitatively distinct ways in which acquirers leverage technology acquisitions. Integration helps acquirers use the acquired firm's existing knowledge as an input to their own innovation processes (leveraging what they know), but hinders their reliance on the acquired firm as an independent source of ongoing innovation (leveraging what they do). We also show that experienced acquirers are better able to mitigate …
Coordination In Distributed Organizations, Kannan Srikanth
Coordination In Distributed Organizations, Kannan Srikanth
Research Collection Lee Kong Chian School Of Business
Innovative work performed in a distributed fashion does not easily lend to itself either of two classic coordination strategies - anticipatory planning or ongoing rich communication. We study how innovative work that is distributed across space and time is coordinated in global software service organizations. Our findings indicate that neither coordination by plan nor coordination by feedback play a dominant role in the coordination of distributed software services delivery. Instead, we find that the firms we studied coordinate action distributed work by relying on common ground. Common ground leads to coordinated action across locations by two means: the anticipation effect …
The 'Big Think Strategy' For Creativity And Innovation: Bernd Schmitt's New Book, Knowledge@Smu
The 'Big Think Strategy' For Creativity And Innovation: Bernd Schmitt's New Book, Knowledge@Smu
Knowledge@SMU
Bernd Schmitt, professor of international business at Columbia Business School in New York, is a driving force behind the concept of customer experiential marketing. Schmitt, who also directs Columbia’s Center on Global Brand Leadership, has published six books on the subject, three of them co-authored, with translations in 16 languages. While on a visit to Singapore in June, Schmitt provided Knowledge@SMU with a sneak preview of his new book, Big Think Strategy: How to Leverage Bold Ideas and Leave Small Thinking Behind, to be published in December.
Managing The Knowledge Trap In Developing Economies Through Effective Governance, Knowledge@Smu
Managing The Knowledge Trap In Developing Economies Through Effective Governance, Knowledge@Smu
Knowledge@SMU
Singapore Management University professor of organisational behavior Thomas Menkhoff conducts research on the role of knowledge management as a key enabler of economic and social development. Menkhoff talked to Knowledge@SMU about best practices and challenges associated with utilising knowledge as a factor of production, based on the experiences of Singapore and selected developing and emergent economies.
International Venturing By Emerging Economy Firms: The Effects Of Firm Capabilities, Home Country Networks, And Corporate Entrepreneurship, Daphne W. Yiu, Chungming Lau, Garry D. Bruton
International Venturing By Emerging Economy Firms: The Effects Of Firm Capabilities, Home Country Networks, And Corporate Entrepreneurship, Daphne W. Yiu, Chungming Lau, Garry D. Bruton
Research Collection Lee Kong Chian School Of Business
Past literature on foreign direct investment generally supports an economics perspective that there is a direct relationship between firm-specific ownership advantages and international expansion. However, in emerging economies, with their institutional environment context characterized by low resource munificence and continuous economic liberalization, a theoretical extension of the current perspective is needed. This paper introduces new parameters by focusing on specific ownership advantages and strategic actions that firms have to develop in response to the institutional characteristics of the emerging economies when they decide to pursue outward FDI. The focus here is on international venturing that requires a firm to engage …
Rethinking Customer Solutions: From Product Bundles To Relational Processes, Kapil Tuli, Ajay K. Kohli, Sundar G. Bharadwaj
Rethinking Customer Solutions: From Product Bundles To Relational Processes, Kapil Tuli, Ajay K. Kohli, Sundar G. Bharadwaj
Research Collection Lee Kong Chian School Of Business
This study draws on depth interviews with 49 managers in customer firms and 55 managers in supplier firms and on discussions with 21 managers in two focus groups to propose a new way of thinking about customer solutions. Extant literature and suppliers interviewed for this study view a solution as a customized and integrated combination of goods and services for meeting a customer's business needs. In contrast, customers view a solution as a set of customerâ€supplier relational processes comprising (1) customer requirements definition, (2) customization and integration of goods and/or services and (3) their deployment, and (4) postdeployment customer support, …
Discovering And Exploiting Causal Dependencies For Robust Mobile Context-Aware Recommenders, Ghim-Eng Yap, Ah-Hwee Tan, Hwee Hwa Pang
Discovering And Exploiting Causal Dependencies For Robust Mobile Context-Aware Recommenders, Ghim-Eng Yap, Ah-Hwee Tan, Hwee Hwa Pang
Research Collection School Of Computing and Information Systems
Acquisition of context poses unique challenges to mobile context-aware recommender systems. The limited resources in these systems make minimizing their context acquisition a practical need, and the uncertainty in the mobile environment makes missing and erroneous context inputs a major concern. In this paper, we propose an approach based on Bayesian networks (BNs) for building recommender systems that minimize context acquisition. Our learning approach iteratively trims the BN-based context model until it contains only the minimal set of context parameters that are important to a user. In addition, we show that a two-tiered context model can effectively capture the causal …
Appraisal - Who Needs It?, M. Thulasidas
Appraisal - Who Needs It?, M. Thulasidas
Research Collection School Of Computing and Information Systems
WE GO through this ordeal every year when our boss- es appraise our performance. Our career progression, bonus and salary depend on it. So, we spend sleepless nights agonising over it.
They Want To Talk, But Are They Listening?, M. Thulasidas
They Want To Talk, But Are They Listening?, M. Thulasidas
Research Collection School Of Computing and Information Systems
Every relationship could use a little less action, a little more conversation.
Cross-Lingual Query Suggestion Using Query Logs Of Different Languages, Wei Gao, Cheng Niu, Jian-Yun Nie, Ming Zhou, Jian Hu, Kam-Fai Wong, Hsiao-Wuen Hon
Cross-Lingual Query Suggestion Using Query Logs Of Different Languages, Wei Gao, Cheng Niu, Jian-Yun Nie, Ming Zhou, Jian Hu, Kam-Fai Wong, Hsiao-Wuen Hon
Research Collection School Of Computing and Information Systems
Query suggestion aims to suggest relevant queries for a given query, which help users better specify their information needs. Previously, the suggested terms are mostly in the same language of the input query. In this paper, we extend it to cross-lingual query suggestion (CLQS): for a query in one language, we suggest similar or relevant queries in other languages. This is very important to scenarios of cross-language information retrieval (CLIR) and cross-lingual keyword bidding for search engine advertisement. Instead of relying on existing query translation technologies for CLQS, we present an effective means to map the input query of one …
Continuous Monitoring Of Top-K Queries Over Sliding Windows, Kyriakos Mouratidis, Spiridon Bakiras, Dimitris Papadias
Continuous Monitoring Of Top-K Queries Over Sliding Windows, Kyriakos Mouratidis, Spiridon Bakiras, Dimitris Papadias
Research Collection School Of Computing and Information Systems
Given a dataset P and a preference function f, a top-k query retrieves the k tuples in P with the highest scores according to f. Even though the problem is well-studied in conventional databases, the existing methods are inapplicable to highly dynamic environments involving numerous long-running queries. This paper studies continuous monitoring of top-k queries over a fixed-size window W of the most recent data. The window size can be expressed either in terms of the number of active tuples or time units. We propose a general methodology for top-k monitoring that restricts processing to the sub-domains of the workspace …
Towards Optimal Bag-Of-Features For Object Categorization And Semantic Video Retrieval, Yu-Gang Jiang, Chong-Wah Ngo, Jun Yang
Towards Optimal Bag-Of-Features For Object Categorization And Semantic Video Retrieval, Yu-Gang Jiang, Chong-Wah Ngo, Jun Yang
Research Collection School Of Computing and Information Systems
Bag-of-features (BoF) deriving from local keypoints has recently appeared promising for object and scene classification. Whether BoF can naturally survive the challenges such as reliability and scalability of visual classification, nevertheless, remains uncertain due to various implementation choices. In this paper, we evaluate various factors which govern the performance of BoF. The factors include the choices of detector, kernel, vocabulary size and weighting scheme. We offer some practical insights in how to optimize the performance by choosing good keypoint detector and kernel. For the weighting scheme, we propose a novel soft-weighting method to assess the significance of a visual word …
Continuous Medoid Queries Over Moving Objects, Stavros Papadopoulos, Dimitris Sacharidis, Kyriakos Mouratidis
Continuous Medoid Queries Over Moving Objects, Stavros Papadopoulos, Dimitris Sacharidis, Kyriakos Mouratidis
Research Collection School Of Computing and Information Systems
In the k-medoid problem, given a dataset P, we are asked to choose kpoints in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points in P and their closest medoid. Finding the optimal k medoids is NP hard, and existing algorithms aim at approximate answers, i.e., they compute medoids that achieve a small, yet not minimal, average distance. Similarly in this paper, we also aim at approximate solutions. We consider, however, the continuous version of the problem, where the points in P move and our task is to maintain the medoid set on-the-fly …
Analyzing Feature Trajectories For Event Detection, Qi He, Kuiyu Chang, Ee Peng Lim
Analyzing Feature Trajectories For Event Detection, Qi He, Kuiyu Chang, Ee Peng Lim
Research Collection School Of Computing and Information Systems
We consider the problem of analyzing word trajectories in both time and frequency domains, with the specific goal of identifying important and less-reported, periodic and aperiodic words. A set of words with identical trends can be grouped together to reconstruct an event in a completely un-supervised manner. The document frequency of each word across time is treated like a time series, where each element is the document frequency - inverse document frequency (DFIDF) score at one time point. In this paper, we 1) first applied spectral analysis to categorize features for different event characteristics: important and less-reported, periodic and aperiodic; …
Learning Causal Models For Noisy Biological Data Mining: An Application To Ovarian Cancer Detection, Ghim-Eng Yap, Ah-Hwee Tan, Hwee Hwa Pang
Learning Causal Models For Noisy Biological Data Mining: An Application To Ovarian Cancer Detection, Ghim-Eng Yap, Ah-Hwee Tan, Hwee Hwa Pang
Research Collection School Of Computing and Information Systems
Undetected errors in the expression measurements from highthroughput DNA microarrays and protein spectroscopy could seriously affect the diagnostic reliability in disease detection. In addition to a high resilience against such errors, diagnostic models need to be more comprehensible so that a deeper understanding of the causal interactions among biological entities like genes and proteins may be possible. In this paper, we introduce a robust knowledge discovery approach that addresses these challenges. First, the causal interactions among the genes and proteins in the noisy expression data are discovered automatically through Bayesian network learning. Then, the diagnosis of a disease based on …
Generating Job Schedules For Vessel Operations In A Container Terminal, Thin Yin Leong, Hoong Chuin Lau
Generating Job Schedules For Vessel Operations In A Container Terminal, Thin Yin Leong, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
No abstract provided.
It's Not So Hard To Say Goodbye, M. Thulasidas
It's Not So Hard To Say Goodbye, M. Thulasidas
Research Collection School Of Computing and Information Systems
Staff retention is a major problem in the job market here. Our economy is doing well; our job market is red hot. As a result, new job offers are becoming more irresistible. At some stage, someone you work closely with — be it your staff, your boss or a fellow team member — is going to hand in that dreaded letter to the human resource (HR) department. Handling resignations with tact and grace is no longer merely a desirable quality, but an essential corporate skill today.