Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (7282)
- Computer Sciences (7169)
- Databases and Information Systems (2934)
- Software Engineering (2227)
- Social and Behavioral Sciences (2167)
-
- Business (1886)
- Artificial Intelligence and Robotics (1367)
- Engineering (1103)
- Numerical Analysis and Scientific Computing (864)
- International and Area Studies (852)
- Asian Studies (835)
- Information Security (740)
- Graphics and Human Computer Interfaces (642)
- Computer Engineering (548)
- Public Affairs, Public Policy and Public Administration (460)
- Operations Research, Systems Engineering and Industrial Engineering (451)
- Law (410)
- Theory and Algorithms (397)
- Technology and Innovation (380)
- Programming Languages and Compilers (360)
- Education (348)
- Communication (311)
- Economics (307)
- OS and Networks (272)
- Finance and Financial Management (242)
- Organizational Behavior and Theory (239)
- Strategic Management Policy (237)
- Higher Education (226)
- Social Media (221)
- Transportation (215)
- Keyword
-
- Singapore (284)
- Machine learning (131)
- Deep learning (118)
- Artificial intelligence (96)
- Innovation (82)
-
- Social media (79)
- Singapore Management University (77)
- China (70)
- Data mining (66)
- Reinforcement learning (59)
- Empirical study (57)
- Higher education (55)
- Software engineering (55)
- Privacy (52)
- Security (51)
- Deep Learning (50)
- Cloud computing (48)
- Online learning (48)
- Collaboration (47)
- Optimization (47)
- Training (47)
- Twitter (47)
- Task analysis (46)
- Neural networks (45)
- Sustainability (45)
- Visualization (45)
- COVID-19 (44)
- Natural language processing (44)
- Anomaly detection (43)
- Feature extraction (42)
- Publication Year
- Publication
-
- Research Collection School Of Computing and Information Systems (7017)
- Research Collection Lee Kong Chian School Of Business (838)
- Research Collection Yong Pung How School Of Law (354)
- Research Collection School of Social Sciences (331)
- Dissertations and Theses Collection (Open Access) (325)
-
- Research Collection College of Integrative Studies (221)
- Research Collection School Of Economics (189)
- Perspectives@SMU (116)
- Asian Management Insights (113)
- Research Collection School Of Accountancy (98)
- Knowledge@SMU (79)
- Research Collection Library (69)
- SMU Press Releases and News (38)
- Social Space (34)
- Oral History Collection (22)
- Dissertations and Theses Collection (17)
- Report to Stakeholders (16)
- Sim Kee Boon Institute for Financial Economics (16)
- CCX Research (14)
- Research@SMU: Connecting the Dots (11)
- MITB Thought Leadership Series (9)
- SMU Corporate Reports (9)
- Singapore Law Journal (Lexicon) (9)
- Student Publications (8)
- FORCE 2026 (7)
- Research Collection Institute of Innovation and Entrepreneurship (7)
- Centre for AI & Data Governance (2019-2025) (6)
- Research Collection Institute of Service Excellence (2007-2024) (6)
- Research Collection Office of Impact (6)
- COAR Asia OA Meeting 2021 (5)
- Publication Type
- File Type
Articles 8971 - 9000 of 10054
Full-Text Articles in Entire DC Network
Image Segmentation Using Multi-Coloured Active Illumination, Tze Ki (Xu Shuqi) Koh, Nicholas Miles, Barrie Hayes-Gill
Image Segmentation Using Multi-Coloured Active Illumination, Tze Ki (Xu Shuqi) Koh, Nicholas Miles, Barrie Hayes-Gill
Research Collection School Of Computing and Information Systems
In this paper, the use of active illumination is extended to image segmentation, specifically in the case of overlapping particles. This work is based on Multi-Flash Imaging (MFI), originally developed by Mitsubishi Electric Labs, to detect depth discontinuities. Illuminations of different wavelengths are projected from multiple positions, providing additional information about a scene compared to conventional segmentation techniques. Shadows are used to identify true object edges. The identification of non- occluded particles is made possible by exploiting the fact that shadows are cast on underlying particles. Implementation issues such as selecting the appropriate colour model and number of illuminations are …
Iterated Weaker-Than-Weak Dominance, Shih-Fen Cheng, Michael P. Wellman
Iterated Weaker-Than-Weak Dominance, Shih-Fen Cheng, Michael P. Wellman
Research Collection School Of Computing and Information Systems
We introduce a weakening of standard gametheoretic δ-dominance conditions, called dominance, which enables more aggressive pruning of candidate strategies at the cost of solution accuracy. Equilibria of a game obtained by eliminating a δ-dominated strategy are guaranteed to be approximate equilibria of the original game, with degree of approximation bounded by the dominance parameter. We can apply elimination of δ-dominated strategies iteratively, but the for which a strategy may be eliminated depends on prior eliminations. We discuss implications of this order independence, and propose greedy heuristics for determining a sequence of eliminations to reduce the game as far as possible …
Towards Efficient Computation Of Quality Bounded Solutions In Pomdps: Expected Value Approximation And Dynamic Disjunctive Beliefs, Pradeep Reddy Varakantham, Rajiv Maheswaran, Tapana Gupta, Milind Tambe
Towards Efficient Computation Of Quality Bounded Solutions In Pomdps: Expected Value Approximation And Dynamic Disjunctive Beliefs, Pradeep Reddy Varakantham, Rajiv Maheswaran, Tapana Gupta, Milind Tambe
Research Collection School Of Computing and Information Systems
While POMDPs (partially observable markov decision problems) are a popular computational model with wide-ranging applications, the computational cost for optimal policy generation is prohibitive. Researchers are investigating ever-more efficient algorithms, yet many applications demand such algorithms bound any loss in policy quality when chasing efficiency. To address this challenge, we present two new techniques. The first approximates in the value space to obtain solutions efficiently for a pre-specified error bound. Unlike existing techniques, our technique guarantees the resulting policy will meet this bound. Furthermore, it does not require costly computations to determine the quality loss of the policy. Our second …
Real-Time Supply Chain Control Via Multi-Agent Adjustable Autonomy, Hoong Chuin Lau, Lucas Agussurja, Ramesh Thangarajoo
Real-Time Supply Chain Control Via Multi-Agent Adjustable Autonomy, Hoong Chuin Lau, Lucas Agussurja, Ramesh Thangarajoo
Research Collection School Of Computing and Information Systems
Real-time supply chain management in a rapidly changing environment requires reactive and dynamic collaboration among participating entities. In this work, we model supply chain as a multi-agent system where agents are subject to an adjustable autonomy. The autonomy of an agent refers to its capability to make and influence decisions within a multi-agent system. Adjustable autonomy means changing the autonomy of the agents during runtime as a response to changes in the environment. In the context of a supply chain, different entities will have different autonomy levels and objective functions as the environment changes, and the goal is to design …
An Improvement Heuristic For The Timetabling Problem, Aldy Gunawan, Kien Ming Ng, Kim Leng Poh
An Improvement Heuristic For The Timetabling Problem, Aldy Gunawan, Kien Ming Ng, Kim Leng Poh
Research Collection School Of Computing and Information Systems
This paper formulates a timetabling problem, which is often encountered in a university, as a mathematical programming model. The proposed model combines both teacher assignment and course scheduling problems simultaneously, which causes the entire model to become more complex. We propose an improvement heuristic algorithm to solve such a model. The proposed algorithm has been tested with several randomly generated datasets of sizes that are comparable to those occurring in a university in Indonesia. The computational results show that the improvement heuristic is not only able to obtain good solutions, but is also able to do so within reasonable computational …
A Growth Theory Perspective On The International Diffusion Of Electronic Commerce., S.C Ho, Robert John Kauffman, T.P. Liang
A Growth Theory Perspective On The International Diffusion Of Electronic Commerce., S.C Ho, Robert John Kauffman, T.P. Liang
Research Collection School Of Computing and Information Systems
Information and communication technologies (ICTs) continue to have a profound effect on the economies and societies where they are used. In this article, we propose three related theories to describe the underlying mechanism for growth in e-commerce revenues at the national level. Endogenous growth theory posits that the primary drivers of e-commerce growth are internal to a country. Exogenous growth theory suggests that the primary drivers of e-commerce growth are external to an economic system, and reflect the forces of the regional economy. A blend of these, a mixed endogenous–exogenous growth theory, incorporates drivers from both the economy and …
Anticipatory Event Detection Via Classification, He Qi, Kuiyu Chang, Ee Peng Lim
Anticipatory Event Detection Via Classification, He Qi, Kuiyu Chang, Ee Peng Lim
Research Collection School Of Computing and Information Systems
The idea of event detection is to identify interesting patterns from a constant stream of incoming news documents. Previous research in event detection has largely focused on identifying the first event or tracking subsequent events belonging to a set of pre-assigned topics such as earthquakes, airline disasters, etc. In this paper, we describe a new problem, called anticipatory event detection (AED), which aims to detect if a user-specified event has transpired. AED can be viewed as a personalized combination of event tracking and new event detection. We propose using sentence-level and document-level classification approaches to solve the AED problem for …
The Internationalization Of Singapore’S State-Enterprise Networks In The Context Of Asia’S Transborder Industrialization: Further Evidence From Indonesia, Vietnam And China, Wilfred Pow Ngee How, Caroline Yeoh
The Internationalization Of Singapore’S State-Enterprise Networks In The Context Of Asia’S Transborder Industrialization: Further Evidence From Indonesia, Vietnam And China, Wilfred Pow Ngee How, Caroline Yeoh
Research Collection Lee Kong Chian School Of Business
No abstract provided.
A Framework For Supplier Relationship Management (Srm), Sabine Moeller, Martin Fassnacht, Sonja Klose
A Framework For Supplier Relationship Management (Srm), Sabine Moeller, Martin Fassnacht, Sonja Klose
Research Collection Lee Kong Chian School Of Business
We perceive growing expectations concerning the impact of the purchasing function and the suppliers on overall value creation of a firm. Purchasing is the gateway between the external suppliers and the internal functions creating and delivering value for customers. This shift has incredibly enhanced the importance of the supplier base. While the old arm length collaboration is perfectly suitable for some suppliers others should be treated as close partners. However, an overall framework of Supplier Relationship Management (SRM) integrating such different types of suppliers along the course of the relationship remains desirable. Our research aims to contribute by developing a …
Singapore's Regionalization Blueprint: A Case For Transnational State Enterprise Networks?, Caroline Yeoh, Victor Sim, Louisa Zhang
Singapore's Regionalization Blueprint: A Case For Transnational State Enterprise Networks?, Caroline Yeoh, Victor Sim, Louisa Zhang
Research Collection Lee Kong Chian School Of Business
No abstract provided.
The Singapore 'Advantage' In Suzhou, China: Premium Or Perception?, Caroline Yeoh, Di Kun Goh, Victor Sim, Norhanna Yumi
The Singapore 'Advantage' In Suzhou, China: Premium Or Perception?, Caroline Yeoh, Di Kun Goh, Victor Sim, Norhanna Yumi
Research Collection Lee Kong Chian School Of Business
This paper revisits Singapore’s industrial development in Suzhou, China, which has been in operation for more than a decade. We aim to glean insights from this experiment and more importantly, to verify recent claims of it generating political gain and economic capital for Singapore. The flagship project took on an identical framework as the other Singaporean transborder industrialization ventures in the region by adopting Singapore’s expertise and reputation for an efficient and stable government and investment environment. These measures were coupled with the combination of local-specific advantages in the region, such as availability of cheaper labour and market access. Singapore’s …
Clique Percolation For Finding Naturally Cohesive And Overlapping Document Clusters, Wei Gao, Kam-Fai Wong, Yunqing Xia, Ruifeng Xu
Clique Percolation For Finding Naturally Cohesive And Overlapping Document Clusters, Wei Gao, Kam-Fai Wong, Yunqing Xia, Ruifeng Xu
Research Collection School Of Computing and Information Systems
Techniques for find document clusters mostly depend on models that impose strong explicit and/or implicit priori assumptions. As a consequence, the clustering effects tend to be unnatural and stray away from the intrinsic grouping natures of a document collection. We apply a novel graph-theoretic technique called Clique Percolation Method (CPM) for document clustering. In this method, a process of enumerating highly cohesive maximal document cliques is performed in a random graph, where those strongly adjacent cliques are mingled to form naturally overlapping clusters. Our clustering results can unveil the inherent structural connections of the underlying data. Experiments show that CPM …
Towards Effective Content-Based Music Retrieval With Multiple Acoustic Feature Combination, Jialie Shen, John Shepherd, Ann H. H. Ngu
Towards Effective Content-Based Music Retrieval With Multiple Acoustic Feature Combination, Jialie Shen, John Shepherd, Ann H. H. Ngu
Research Collection School Of Computing and Information Systems
In this paper, we present a new approach to constructing music descriptors to support efficient content-based music retrieval and classification. The system applies multiple musical properties combined with a hybrid architecture based on principal component analysis (PCA) and a multilayer perceptron neural network. This architecture enables straightforward incorporation of multiple musical feature vectors, based on properties such as timbral texture, pitch, and rhythm structure, into a single low-dimensioned vector that is more effective for classification than the larger individual feature vectors. The use of supervised training enables incorporation of human musical perception that further enhances the classification process. We compare …
Managing News In A Managed Media: Mediating The Message In Malaysiakini.Com, Augustine Pang
Managing News In A Managed Media: Mediating The Message In Malaysiakini.Com, Augustine Pang
Research Collection Lee Kong Chian School Of Business
Widely regarded as an anomaly in the neo-authoritarian system in Malaysia, Malaysiakini.com is proving that managing an independent media in a government-managed media landscape is more than a Sisyphean struggle. Employing participant observation and interviews, supplemented by artifacts and media accounts, this study seeks to understand the media management of Malaysiakini.com through news management, using Shoemaker and Reese’s (1996) hierarchy of influence model, which posits a framework of internal and external forces that affect news management. The study found determined attempts to minimize ideological influences through media socialization by accentuating on the direct influences, such as the journalists’ role in …
Designing Web Sites For Customer Loyalty Across Business Domains: A Multilevel Analysis, S. Mithas, Narayanasamy Ramasubbu, M. S. Krishnan, C. Fornell
Designing Web Sites For Customer Loyalty Across Business Domains: A Multilevel Analysis, S. Mithas, Narayanasamy Ramasubbu, M. S. Krishnan, C. Fornell
Research Collection School Of Computing and Information Systems
Web Sites are important components of Internet strategy for organizations. This paper develops a theoretical model for understanding the effect of Web site design elements on customer loyalty to a Web site. We show the relevance of the business domain of a Web site to gain a contextual understanding of relative importance of Web site design elements. We use a hierarchical linear modeling approach to model multilevel and cross-level interactions that have not been explicitly considered in previous research. By analyzing, data on more than 12,000 online customer surveys for 43 Web sites in several business domains, we find that …
Towards Effective Content-Based Music Retrieval With Multiple Acoustic Feature Composition, Jialie Shen, John Shepherd, Ngu Ahh
Towards Effective Content-Based Music Retrieval With Multiple Acoustic Feature Composition, Jialie Shen, John Shepherd, Ngu Ahh
Research Collection School Of Computing and Information Systems
In this paper, we present a new approach to constructing music descriptors to support efficient content-based music retrieval and classification. The system applies multiple musical properties combined with a hybrid architecture based on principal component analysis (PCA) and a multilayer perceptron neural network. This architecture enables straightforward incorporation of multiple musical feature vectors, based on properties such as timbral texture, pitch, and rhythm structure, into a single low-dimensioned vector that is more effective for classification than the larger individual feature vectors. The use of supervised training enables incorporation of human musical perception that further enhances the classification process. We compare …
Identifying Difficulties In Learning Uml, Keng Siau, Poi-Peng Loo
Identifying Difficulties In Learning Uml, Keng Siau, Poi-Peng Loo
Research Collection School Of Computing and Information Systems
Despite its recognition as a standard object-oriented modeling language, Unified Modeling Language (UML) has been criticized for such deficiencies as semantic inconsistencies, vagueness, and conflicting notations. the relationship between these deficiencies and the difficulties in the learning process is the focus of this study. A concept mapping technique is used to unveil the learning difficulties and suggestions for alleviating them are provided.
Continuous Monitoring Of Knn Queries In Wireless Sensor Networks, Yuxia Yao, Xueyan Tang, Ee Peng Lim
Continuous Monitoring Of Knn Queries In Wireless Sensor Networks, Yuxia Yao, Xueyan Tang, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Wireless sensor networks have been widely used for civilian and military applications, such as environmental monitoring and vehicle tracking. In these applications, continuous query processing is often required and their efficient evaluation is a critical requirement to be met. Due to the limited power supply for sensor nodes, energy efficiency is a major performance measure in such query evaluation. In this paper, we focus on continuous kNN query processing. We observe that the centralized data storage and monitoring schemes do not favor energy efficiency. We therefore propose a localized scheme to monitor long running nearest neighbor queries in sensor networks. …
Finding A Length-Constrained Maximum-Sum Or Maximum-Density Subtree And Its Application To Logistics, Hoong Chuin Lau, Trung Hieu Ngo, Bao Nguyen Nguyen
Finding A Length-Constrained Maximum-Sum Or Maximum-Density Subtree And Its Application To Logistics, Hoong Chuin Lau, Trung Hieu Ngo, Bao Nguyen Nguyen
Research Collection School Of Computing and Information Systems
We study the problem of finding a length-constrained maximum-density path in a tree with weight and length on each edge. This problem was proposed in [R.R. Lin, W.H. Kuo, K.M. Chao, Finding a length-constrained maximum-density path in a tree, Journal of Combinatorial Optimization 9 (2005) 147–156] and solved in O(nU) time when the edge lengths are positive integers, where n is the number of nodes in the tree and U is the length upper bound of the path. We present an algorithm that runs in O(nlog2n) time for the generalized case when the edge lengths are positive real numbers, which …
Measuring Qualities Of Articles Contributed By Online Communities, Ee Peng Lim, Ba-Quy Vuong, Hady W. Lauw, Aixin Sun
Measuring Qualities Of Articles Contributed By Online Communities, Ee Peng Lim, Ba-Quy Vuong, Hady W. Lauw, Aixin Sun
Research Collection School Of Computing and Information Systems
Using open source Web editing software (e.g., wiki), online community users can now easily edit, review and publish articles collaboratively. While much useful knowledge can be derived from these articles, content users and critics are often concerned about their qualities. In this paper, we develop two models, namely basic model and peer review model, for measuring the qualities of these articles and the authorities of their contributors. We represent collaboratively edited articles and their contributors in a bipartite graph. While the basic model measures an article's quality using both the authorities of contributors and the amount of contribution from each …
Cosign: A Parallel Algorithm For Coordinated Traffic Signal Control, Shih-Fen Cheng, Marina A. Epelman, Robert L. Smith
Cosign: A Parallel Algorithm For Coordinated Traffic Signal Control, Shih-Fen Cheng, Marina A. Epelman, Robert L. Smith
Research Collection School Of Computing and Information Systems
The problem of finding optimal coordinated signal timing plans for a large number of traffic signals is a challenging problem because of the exponential growth in the number of joint timing plans that need to be explored as the network size grows. In this paper, the game-theoretic paradigm of fictitious play to iteratively search for a coordinated signal timing plan is employed, which improves a system-wide performance criterion for a traffic network. The algorithm is robustly scalable to realistic-size networks modeled with high-fidelity simulations. Results of a case study for the city of Troy, MI, where there are 75 signalized …
Dynamic Multi-Linked Negotiations In Multi-Echelon Production Scheduling Networks, Hoong Chuin Lau, Guan Li Soh, Wee Chong Wan
Dynamic Multi-Linked Negotiations In Multi-Echelon Production Scheduling Networks, Hoong Chuin Lau, Guan Li Soh, Wee Chong Wan
Research Collection School Of Computing and Information Systems
In this paper, we are concerned with scheduling resources in a multi-tier production/logistics system for multi-indenture goods. Unlike classical production scheduling problems, the problem we study is concerned with local utilities which are private. We present an agent model and investigate an efficient scheme for handling multi-linked agent negotiations. With this scheme we attempt to overcome the drawbacks of sequential negotiations and negotiation parameter settings. Our approach is based on embedding a credit-based negotiation protocol within a local search scheduling algorithm. We demonstrate the computational efficiency and effectiveness of the approach in solving a real-life dynamic production scheduling problem which …
Plans As Products Of Learning, Samin Karim, Budhitama Subagdja, Liz Sonenberg
Plans As Products Of Learning, Samin Karim, Budhitama Subagdja, Liz Sonenberg
Research Collection School Of Computing and Information Systems
This paper presents motivations and current related work in the field of plan learning. Additionally, two approaches that achieve plan learning are presented. The two presented approaches are centred on the BDI framework of agency and have particular focus on plans, which, alongside goals, are the means to fulfil intentions in most pragmatic and theoretical realisations of the BDI framework. The first approach is a hybrid architecture that combines a BDI plan extractor and executor with a generic low-level learner. The second approach uses hypotheses to suggest incremental refinements of a priori plans. Both approaches achieve plan generation that is …
Set-Based Cascading Approaches For Magnetic Resonance (Mr) Image Segmentation (Scamis), Jiang Liu, Tze-Yun Leong, Kin Ban Chee, Boon Pin Tan, Borys Shuter, Shih Chang Wang
Set-Based Cascading Approaches For Magnetic Resonance (Mr) Image Segmentation (Scamis), Jiang Liu, Tze-Yun Leong, Kin Ban Chee, Boon Pin Tan, Borys Shuter, Shih Chang Wang
Research Collection School Of Computing and Information Systems
This paper introduces Set-based Cascading Approach for Medical Image Segmentation (SCAMIS), a new methodology for segmentation of medical imaging by integrating a number of algorithms. Existing approaches typically adopt the pipeline methodology. Although these methods provide promising results, the results generated are still susceptible to over-segmentation and leaking. In our methodology, we describe how set operations can be utilized to better overcome these problems. To evaluate the effectiveness of this approach, Magnetic Resonance Images taken from a teaching hospital research programme have been utilised, to reflect the real world quality needed for testing in patient datasets. A comparison between the …
Supply Chain Information Sharing In A Macro Prediction Market, Zhiling Guo, Fang Fang, Andrew B. Whinston
Supply Chain Information Sharing In A Macro Prediction Market, Zhiling Guo, Fang Fang, Andrew B. Whinston
Research Collection School Of Computing and Information Systems
This paper aims to address supply chain partners' incentives for information sharing from an information systems design perspective. Specifically, we consider a supply chain characterized by N geographically distributed retailers who order a homogeneous product from one manufacturer. Each retailer's demand risk consists of two parts: a systematic risk part that affects all retailers and an idiosyncratic risk part that only has a local effect. We propose a macro prediction market to effectively elicit and aggregate useful information about systematic demand risk. We show that such information can be used to achieve accurate demand forecast sharing and better channel coordination …
Economics Of Competition': A Study Of Low-Cost Manufacturing Enclaves In Batam Island, Indonesia, Caroline Yeoh, Feng Hao Chua, Sylvie Tan
Economics Of Competition': A Study Of Low-Cost Manufacturing Enclaves In Batam Island, Indonesia, Caroline Yeoh, Feng Hao Chua, Sylvie Tan
Research Collection Lee Kong Chian School Of Business
Singapore’s transborder industrialization projects in China and India have received much attention. This regionalization initiative was intended to set in place a strategic configuration for the city-state to restructure its domestic industries and, pari passu, retain important linkages with contiguous, low-cost environments. Our study reports on Singapore’s pioneering, albeit lesser-known, project - Batamindo Industrial Park – in neighboring Batam Island, Indonesia, and finds that the strategic intent of this policy gambit remains stymied by non-economic, socio-political complexities in the host environment, and the economics of competition from other industrial estates in the vicinity of this prototype, remains to be addressed.
Making The Global Grade: Chinese Managers Are The Latest Enrollees In Western Executive Education Classes, Knowledge@Smu
Making The Global Grade: Chinese Managers Are The Latest Enrollees In Western Executive Education Classes, Knowledge@Smu
Knowledge@SMU
As Chinese firms increasingly turn their attention to strengthening their ability to compete in the global economy, they have a new challenge -- developing international expertise. One way they are doing this is by turning to Western executive education programs, which can include everything from courses in finance, marketing and corporate governance to a visit to Bloomingdale's and meals at noted Western restaurants.
A Typology Of Plants In Global Manufacturing Networks, Ann Vereecke, Roland Van Dierdonck, Arnoud De Meyer
A Typology Of Plants In Global Manufacturing Networks, Ann Vereecke, Roland Van Dierdonck, Arnoud De Meyer
Research Collection Lee Kong Chian School Of Business
The purpose of this paper is to propose a new, empirically derived typology of plants in the international manufacturing network of multinational companies. This typology is based on the knowledge flows between the plants. In our research, network analysis has been used as a methodology for understanding the position of plants in international manufacturing networks. The focus has been primarily on the intangible knowledge network, and secondarily on the physical, logistic network. Our analysis leads to four types of plants with different network roles: the isolated plants, the receivers, the hosting network players, and the active network players. Our analysis …
Smartic: Towards Building An Accurate, Robust And Scalable Specification Miner, David Lo, Siau-Cheng Khoo
Smartic: Towards Building An Accurate, Robust And Scalable Specification Miner, David Lo, Siau-Cheng Khoo
Research Collection School Of Computing and Information Systems
Improper management of software evolution, compounded by imprecise, and changing requirements, along with the “short time to market ” requirement, commonly leads to a lack of up-to-date specifications. This can result in software that is characterized by bugs, anomalies and even security threats. Software specification mining is a new technique to address this concern by inferring specifications automatically. In this paper, we propose a novel API specification mining architecture called SMArTIC (Specification Mining Architecture with Trace fIltering and Clustering) to improve the accuracy, robustness and scalability of specification miners. This architecture is constructed based on two hypotheses: (1) Erroneous traces …
Modeling Local Interest Points For Semantic Detection And Video Search At Trecvid 2006, Yu-Gang Jiang, Xiaoyong Wei, Chong-Wah Ngo, Hung-Khoon Tan, Wanlei Zhao, Xiao Wu
Modeling Local Interest Points For Semantic Detection And Video Search At Trecvid 2006, Yu-Gang Jiang, Xiaoyong Wei, Chong-Wah Ngo, Hung-Khoon Tan, Wanlei Zhao, Xiao Wu
Research Collection School Of Computing and Information Systems
Local interest points (LIPs) and their features have been shown to obtain surprisingly good results in object detection and recognition. Its effectiveness and scalability, however, have not been seriously addressed in large-scale multimedia database, for instance TRECVID benchmark. The goal of our works is to investigate the role and performance of LIPs, when coupling with multi-modality features, for high-level feature extraction and automatic video search.