Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (5591)
- Computer Sciences (5576)
- Databases and Information Systems (2329)
- Software Engineering (1250)
- Artificial Intelligence and Robotics (1149)
-
- Numerical Analysis and Scientific Computing (724)
- Engineering (708)
- Information Security (686)
- Graphics and Human Computer Interfaces (581)
- Business (502)
- Social and Behavioral Sciences (501)
- Computer Engineering (349)
- Theory and Algorithms (341)
- Operations Research, Systems Engineering and Industrial Engineering (335)
- Programming Languages and Compilers (241)
- OS and Networks (219)
- Communication (186)
- Public Affairs, Public Policy and Public Administration (184)
- Transportation (167)
- Medicine and Health Sciences (160)
- Education (150)
- Social Media (148)
- Management Information Systems (140)
- E-Commerce (116)
- Data Storage Systems (109)
- Health Information Technology (98)
- International and Area Studies (87)
- Asian Studies (86)
- Digital Communications and Networking (82)
- Higher Education (78)
- Keyword
-
- Deep learning (90)
- Machine learning (88)
- Artificial intelligence (55)
- Reinforcement learning (53)
- Cloud computing (51)
-
- Privacy (49)
- Data mining (47)
- Online learning (44)
- Security (44)
- Social media (43)
- Empirical study (42)
- Optimization (42)
- Training (42)
- Visualization (41)
- Task analysis (39)
- Access control (38)
- Feature extraction (37)
- Neural networks (37)
- Deep Learning (34)
- Software engineering (34)
- Blockchain (33)
- Machine Learning (31)
- Twitter (31)
- Anomaly detection (30)
- Large Language Models (30)
- Privacy-preserving (30)
- Natural language processing (29)
- Singapore (29)
- Clustering (28)
- Collaboration (28)
- Publication Year
Articles 4831 - 4860 of 5707
Full-Text Articles in Entire DC Network
On Mining Rating Dependencies In Online Collaborative Rating Networks, Hady W. Lauw, Ee Peng Lim, Ke Wang
On Mining Rating Dependencies In Online Collaborative Rating Networks, Hady W. Lauw, Ee Peng Lim, Ke Wang
Research Collection School Of Computing and Information Systems
The trend of social information processing sees e-commerce and social web applications increasingly relying on user-generated content, such as rating, to determine the quality of objects and to generate recommendations for users. In a rating system, a set of reviewers assign to a set of objects different types of scores based on specific evaluation criteria. In this paper, we seek to determine, for each reviewer and for each object, the dependency between scores on any two given criteria. A reviewer is said to have high dependency between a pair of criteria when his or her rating scores on objects based …
A Self-Organizing Neural Network Architecture For Intentional Planning Agents, Budhitama Subagdja, Ah-Hwee Tan
A Self-Organizing Neural Network Architecture For Intentional Planning Agents, Budhitama Subagdja, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic representation in developing agents. Some novel techniques are introduced that enables the neural network to process and manipulate sequential and hierarchical structures of information. It is suggested that by incorporating intentional agent model which relies on explicit symbolic description with self-organizing neural networks that are good at learning and recognizing patterns, the best from both sides can be exploited. This paper demonstrates that plans can be represented as weighted connections and reasoning processes can …
Are Online Auction Markets Efficient? An Empirical Study Of Market Liquidity And Abnormal Returns., Robert J. Kauffman, Trent J Spaulding, Charles A. Wood
Are Online Auction Markets Efficient? An Empirical Study Of Market Liquidity And Abnormal Returns., Robert J. Kauffman, Trent J Spaulding, Charles A. Wood
Research Collection School Of Computing and Information Systems
Technological advances have facilitated investment in collectibles through online auction markets, where information regarding product characteristics, current and historical prices, and product availability is available to millions of market participants. However, market inefficiencies may still exist, where prices do not reflect market information and where savvy speculators can profit. Using unit root and variance ratio tests, we examine 8538 rare stamp and 56,997 rare coin auctions to evaluate the efficiency of online markets. In particular, we study market liquidity, abnormal returns and weak-form efficiency. We find an inverse relationship between market efficiency and liquidity. Bidder competition intrinsic to liquidity increases …
Constraint-Based Dynamic Programming For Decentralized Pomdps With Structured Interactions, Akshat Kumar, Shlomo Zilberstein
Constraint-Based Dynamic Programming For Decentralized Pomdps With Structured Interactions, Akshat Kumar, Shlomo Zilberstein
Research Collection School Of Computing and Information Systems
Decentralized partially observable MDPs (DEC-POMDPs) provide a rich framework for modeling decision making by a team of agents. Despite rapid progress in this area, the limited scalability of solution techniques has restricted the applicability of the model. To overcome this computational barrier, research has focused on restricted classes of DEC-POMDPs, which are easier to solve yet rich enough to capture many practical problems. We present CBDP, an efficient and scalable point-based dynamic programming algorithm for one such model called ND-POMDP (Network Distributed POMDP). Specifically, CBDP provides magnitudes of speedup in the policy computation and generates better quality solution for all …
Joint Ranking For Multilingual Web Search, Wei Gao, Cheng Niu, Ming Zhou, Kam-Fai Wong
Joint Ranking For Multilingual Web Search, Wei Gao, Cheng Niu, Ming Zhou, Kam-Fai Wong
Research Collection School Of Computing and Information Systems
Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s language. Existing approaches are focused on combining relevance scores of different retrieval settings, but do not learn the ranking function directly. We approach Web MLIR ranking within the learning-to-rank (L2R) framework. Besides adopting popular L2R algorithms to MLIR, a joint ranking model is created to exploit the correlations among documents, and induce the joint relevance probability for all the documents. Using this method, the relevant documents of one language can be leveraged to improve …
Beyond Output Voting: Detecting Compromised Replicas Using Hmm-Based Behavioral Distance, Debin Gao, Michael K. Reiter, Dawn Song
Beyond Output Voting: Detecting Compromised Replicas Using Hmm-Based Behavioral Distance, Debin Gao, Michael K. Reiter, Dawn Song
Research Collection School Of Computing and Information Systems
Many host-based anomaly detection techniques have been proposed to detect code-injection attacks on servers. The vast majority, however, are susceptible to "mimicry" attacks in which the injected code masquerades as the original server software, including returning the correct service responses, while conducting its attack. "Behavioral distance," by which two diverse replicas processing the same inputs are continually monitored to detect divergence in their low-level (system-call) behaviors and hence potentially the compromise of one of them, has been proposed for detecting mimicry attacks. In this paper, we present a novel approach to behavioral distance measurement using a new type of hidden …
Describing Fuzzy Sets Using A New Concept: Fuzzify Functor, Kexin Wei, Zhaoxia Wang, Quan Wang
Describing Fuzzy Sets Using A New Concept: Fuzzify Functor, Kexin Wei, Zhaoxia Wang, Quan Wang
Research Collection School Of Computing and Information Systems
This paper proposed a fuzzify functor as an extension of the concept of fuzzy sets. The fuzzify functor and the first-order operated fuzzy set are defined. From the theory analysis, it can be observed that when the fuzzify functor acts on a simple crisp set, we get the first order fuzzy set or type-1 fuzzy set. By operating the fuzzify functor on fuzzy sets, we get the higher order fuzzy sets or higher type fuzzy sets and their membership functions. Using the fuzzify functor we can exactly describe the type-1 fuzzy sets, type-2 fuzzy sets and higher type or higher …
The Digital Wallet: Opportunities And Prototypes, Rajesh Krishna Balan, Narayanasamy Ramasubbu
The Digital Wallet: Opportunities And Prototypes, Rajesh Krishna Balan, Narayanasamy Ramasubbu
Research Collection School Of Computing and Information Systems
Example digital wallet applications support secure P2P mobile cash transactions and alleviate point-of-sale confusion for consumers using multiple payment, discount, and loyalty cards.
Exploring Hierarchically Organized Georeferenced Multimedia Annotations In The Mobitop System, Thi Nhu Quynh Kim, Khasfariyati Razikin, Dion Hoe-Lian Goh, Yin Leng Theng, Quang Minh Nguyen, Ee-Peng Lim, Aixin Sun, Chew Hung Chang, Kalyani Chatterjea
Exploring Hierarchically Organized Georeferenced Multimedia Annotations In The Mobitop System, Thi Nhu Quynh Kim, Khasfariyati Razikin, Dion Hoe-Lian Goh, Yin Leng Theng, Quang Minh Nguyen, Ee-Peng Lim, Aixin Sun, Chew Hung Chang, Kalyani Chatterjea
Research Collection School Of Computing and Information Systems
We introduce MobiTOP, a map-based interface for accessing hierarchically organized georeferenced annotations. Each annotation contains multimedia content associated with a location, and users are able to annotate existing annotations, in effect creating a hierarchy. MobiTOPs interface was designed using a participatory design methodology to ensure that the user interface meets the needs of potential users. A pilot study to compare the MobiTOP interface with a space-filling thumbnail (SFT) interface suggested that participants preferred the MobiTOP design for accessing annotations even though the SFT interface was conceptually easier to understand resources.
Rsa-Based Certificateless Public Key Encryption, Junzuo Lai, Robert H. Deng, Shengli Liu, Weidong Kou
Rsa-Based Certificateless Public Key Encryption, Junzuo Lai, Robert H. Deng, Shengli Liu, Weidong Kou
Research Collection School Of Computing and Information Systems
Certificateless Public Key Cryptography was first introduced by Al-Riyami and Paterson in order to eliminate the inherent key-escrow problem of Identity-Based Cryptography. In this paper, we present a new practical construction of certificateless public key encryption scheme without paring. Our scheme is, in the random oracle model, provably secure under the assumption that the RSA problem is intractable.
Ensuring Dual Security Modes In Rfid-Enabled Supply Chain Systems, Shaoying Cai, Tieyan Li, Yingjiu Li, Robert H. Deng
Ensuring Dual Security Modes In Rfid-Enabled Supply Chain Systems, Shaoying Cai, Tieyan Li, Yingjiu Li, Robert H. Deng
Research Collection School Of Computing and Information Systems
While RFID technology has greatly facilitated the supply chain management, designing a secure, visible, and efficient RFID- enabled supply chain system is still a challenge since the three equally important requirements (i.e., security, visibility, and efficiency) may conflict to each other. Few research works have been conducted to address these issues simultaneously. In this paper, we observe the different security requirements in RFID-enabled supply chain environments and differentiate the simplified model into two security levels. Accordingly, dual security modes are properly defined in our RFID setting. In the relatively secure environment, our system is set to the weak security mode, …
Opaque: Protecting Path Privacy In Directions Search, Ken C. K. Lee, Wang-Chien Lee, Hong Va Leong, Baihua Zheng
Opaque: Protecting Path Privacy In Directions Search, Ken C. K. Lee, Wang-Chien Lee, Hong Va Leong, Baihua Zheng
Research Collection School Of Computing and Information Systems
Directions search returns the shortest path from a source to a destination on a road network. However, the search interests of users may be exposed to the service providers, thus raising privacy concerns. For instance, a path query that finds a path from a resident address to a clinic may lead to a deduction about "who is related to what disease". To protect user privacy from accessing directions search services, we introduce the OPAQUE system, which consists of two major components: (1) an obfuscator that formulates obfuscated path queries by mixing true and fake sources/destinations; and (2) an obfuscated path …
An Incremental Threshold Method For Continuous Text Search Queries, Kyriakos Mouratidis, Hwee Hwa Pang
An Incremental Threshold Method For Continuous Text Search Queries, Kyriakos Mouratidis, Hwee Hwa Pang
Research Collection School Of Computing and Information Systems
A text filtering system monitors a stream of incoming documents, to identify those that match the interest profiles of its users. The user interests are registered at a server as continuous text search queries. The server constantly maintains for each query a ranked result list, comprising the recent documents (drawn from a sliding window) with the highest similarity to the query. Such a system underlies many text monitoring applications that need to cope with heavy document traffic, such as news and email monitoring. In this paper, we propose the first solution for processing continuous text queries efficiently. Our objective is …
Achieving Better Privacy Protection In Wireless Sensor Networks Using Trusted Computing, Yanjiang Yang, Robert H. Deng, Jianying Zhou, Ying Qiu
Achieving Better Privacy Protection In Wireless Sensor Networks Using Trusted Computing, Yanjiang Yang, Robert H. Deng, Jianying Zhou, Ying Qiu
Research Collection School Of Computing and Information Systems
A wireless sensor network (WSN) is an ad-hoc wireless network composed of small sensor nodes deployed in large numbers. Sensor nodes are usually severely resource limited and power constrained. Security enforcement in WSNs is thus a challenging task. In this paper we propose a clustered heterogeneous architecture for WSNs, where high-end cluster heads are incorporated, and they are further equipped with trusted computing technology (TC). As such, the cluster heads act as trusted parties, and are expected to help effectively address privacy issues in WSNs. As concrete examples, we discuss in details how user query privacy and source location privacy …
Optimizing Service Systems Based On Application-Level Qos, Qianhui Liang, Xindong Wu, Hoong Chuin Lau
Optimizing Service Systems Based On Application-Level Qos, Qianhui Liang, Xindong Wu, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
Making software systems service-oriented is becoming the practice, and an increasingly large number of service systems play important roles in today's business and industry. Currently, not enough attention has been paid to the issue of optimization of service systems. In this paper, we argue that the key elements to be considered in optimizing service systems are robustness, system orientation, and being dynamic and transparent. We present our solution to optimizing service systems based on application-level QoS management. Our solution incorporates three capabilities, i.e., 1) the ability to cater to the varying rigidities on Web service QoS in distinct application domains …
Optimal Digital Content Distribution Strategy In The Presence Of Consumer-To-Consumer Channel, Yunfang Feng, Zhiling Guo, Wei-Yu Kevin Chiang
Optimal Digital Content Distribution Strategy In The Presence Of Consumer-To-Consumer Channel, Yunfang Feng, Zhiling Guo, Wei-Yu Kevin Chiang
Research Collection School Of Computing and Information Systems
Although the online business-to-consumer (B2C) channel is the primary selling channel for digital content (e.g., videos, images, and music), modern digital technology has made possible the legal dissemination of such content over the consumer-to-consumer (C2C) channel through personal computing devices, such as PCs, mobile phones, and portable media players. This paper investigates the optimal channel structure and the corresponding pricing and service strategies for digital content distribution in order to understand the business value of introducing the C2C channel alongside the prevailing B2C channel. We identify conditions under which it is more profitable to use both B2C and C2C channels …
Programmable Presence Virtualization For Next-Generation Context-Based Applications, Arup Acharya, Nilanjan Banerjee, Dipanjan Chakraborty, Koustuv Dasgupta, Archan Misra, Shachi Sharma, Xiping Wang, Charles P. Wright
Programmable Presence Virtualization For Next-Generation Context-Based Applications, Arup Acharya, Nilanjan Banerjee, Dipanjan Chakraborty, Koustuv Dasgupta, Archan Misra, Shachi Sharma, Xiping Wang, Charles P. Wright
Research Collection School Of Computing and Information Systems
Presence, broadly defined as an event publish-notification infrastructure for converged applications, has emerged as a key mechanism for collecting and disseminating context attributes for next-generation services in both enterprise and provider domains. Current presence-based solutions and products lack in the ability to a) support flexible user-defined queries over dynamic presence data and b) derive composite presence from multiple provider domains. Accordingly, current uses of context are limited to individual domains/organizations and do not provide a programmable mechanism for rapid creation of context-aware services. This paper describes a presence virtualization architecture, where a virtualized presence server receives customizable queries from multiple …
Visual Word Proximity And Linguistics For Semantic Video Indexing And Near-Duplicate Retrieval, Yu-Gang Jiang, Chong-Wah Ngo
Visual Word Proximity And Linguistics For Semantic Video Indexing And Near-Duplicate Retrieval, Yu-Gang Jiang, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
Bag-of-visual-words (BoW) has recently become a popular representation to describe video and image content. Most existing approaches, nevertheless, neglect inter-word relatedness and measure similarity by bin-to-bin comparison of visual words in histograms. In this paper, we explore the linguistic and ontological aspects of visual words for video analysis. Two approaches, soft-weighting and constraint-based earth mover’s distance (CEMD), are proposed to model different aspects of visual word linguistics and proximity. In soft-weighting, visual words are cleverly weighted such that the linguistic meaning of words is taken into account for bin-to-bin histogram comparison. In CEMD, a cross-bin matching algorithm is formulated such …
Web Query Recommendation Via Sequential Query Prediction, Qi He, Daxin Jiang, Zhen Liao, Steven C. H. Hoi, Kuiyu Chang, Ee Peng Lim, Hang Li
Web Query Recommendation Via Sequential Query Prediction, Qi He, Daxin Jiang, Zhen Liao, Steven C. H. Hoi, Kuiyu Chang, Ee Peng Lim, Hang Li
Research Collection School Of Computing and Information Systems
Web query recommendation has long been considered a key feature of search engines. Building a good Web query recommendation system, however, is very difficult due to the fundamental challenge of predicting users' search intent, especially given the limited user context information. In this paper, we propose a novel "sequential query prediction" approach that tries to grasp a user's search intent based on his/her past query sequence and its resemblance to historical query sequence models mined from massive search engine logs. Different query sequence models were examined, including the naive variable length N-gram model, Variable Memory Markov (VMM) model, and our …
Electronic Commerce Research And Applications Ecra Co-Editors' Introduction For Volume 8, Issue 2, March - April 2009, Robert J. Kauffman, Patrick Y. K. Chau, Terry R. Payne, J. Christopher Westland
Electronic Commerce Research And Applications Ecra Co-Editors' Introduction For Volume 8, Issue 2, March - April 2009, Robert J. Kauffman, Patrick Y. K. Chau, Terry R. Payne, J. Christopher Westland
Research Collection School Of Computing and Information Systems
Many efforts are occurring around the world to improve supply chain performance to best-practice levels to improve the profitability of manufacturing and service firms. As a result, there is great interest among industry leaders and academic researchers to find ways to coordinate and streamline all of the activities in the supply procurement process as a basis for cost management, managed quality, and strategic competitiveness. With the Internet, the possibility of implementing many innovative new approaches to procurement has driven firms to want much higher performance than they currently seem to be able to achieve. Some of the innovations include dynamic …
Team Collaboration In Virtual Worlds: The Role Of Task Complexity, Fiona Fui-Hoon Nah, B. Mennecke, S. Schiller
Team Collaboration In Virtual Worlds: The Role Of Task Complexity, Fiona Fui-Hoon Nah, B. Mennecke, S. Schiller
Research Collection School Of Computing and Information Systems
Virtual worlds are three-dimensional, computer-generated worlds where team collaboration is facilitated through the use of shared virtual space. In this research, we are interested in studying the effect of task complexity on team collaboration. We use a puzzle as the collaboration task and manipulate task complexity using the number of puzzle pieces. We hypothesize that task complexity will influence team cohesion as well as satisfaction with team process and outcome, increase the time taken to complete the task, and increase the relative unevenness in team members' contributions in terms of physical effort to accomplish the task due to the increased …
Bmq-Processor: A High-Performance Border Crossing Event Detection Framework For Large-Scale Monitoring Applications, Jinwon Lee, Seungwoo Kang, Youngki Lee, Sangjeong Lee, Junehwa Song
Bmq-Processor: A High-Performance Border Crossing Event Detection Framework For Large-Scale Monitoring Applications, Jinwon Lee, Seungwoo Kang, Youngki Lee, Sangjeong Lee, Junehwa Song
Research Collection School Of Computing and Information Systems
In this paper, we present BMQ-Processor, a high-performance Border-Crossing Event (BCE) detection framework for large-scale monitoring applications. We first characterize a new query semantics, namely, Border Monitoring Query (BMQ), which is useful for BCE detection in many monitoring applications. It monitors the values of data streams and reports them only when data streams cross the borders of its range. We then propose BMQ-Processor to efficiently handle a large number of BMQs over a high volume of data streams. BMQ-Processor efficiently processes BMQs in a shared and incremental manner. It develops and operates over a novel stateful query index, achieving a …
Scale-Rotation Invariant Pattern Entropy For Keypoint-Based Near-Duplicate Detection, Wan-Lei Zhao, Chong-Wah Ngo
Scale-Rotation Invariant Pattern Entropy For Keypoint-Based Near-Duplicate Detection, Wan-Lei Zhao, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
Near-duplicate (ND) detection appears as a timely issue recently, being regarded as a powerful tool for various emerging applications. In the Web 2.0 environment particularly, the identification of near-duplicates enables the tasks such as copyright enforcement, news topic tracking, image and video search. In this paper, we describe an algorithm, namely Scale-Rotation invariant Pattern Entropy (SR-PE), for the detection of near-duplicates in large-scale video corpus. SR-PE is a novel pattern evaluation technique capable of measuring the spatial regularity of matching patterns formed by local keypoints. More importantly, the coherency of patterns and the perception of visual similarity, under the scenario …
Real-Time Near-Duplicate Elimination For Web Video Search With Content And Context, Xiao Wu, Chong-Wah Ngo, Alexander G. Hauptmann
Real-Time Near-Duplicate Elimination For Web Video Search With Content And Context, Xiao Wu, Chong-Wah Ngo, Alexander G. Hauptmann
Research Collection School Of Computing and Information Systems
With the exponential growth of social media, there exist huge numbers of near-duplicate web videos, ranging from simple formatting to complex mixture of different editing effects. In addition to the abundant video content, the social web provides rich sets of context information associated with web videos, such as thumbnail image, time duration and so on. At the same time, the popularity of Web 2.0 demands for timely response to user queries. To balance the speed and accuracy aspects, in this paper, we combine the contextual information from time duration, number of views, and thumbnail images with the content analysis derived …
Stochastic Modeling Western Paintings For Effective Classification, Jialie Shen
Stochastic Modeling Western Paintings For Effective Classification, Jialie Shen
Research Collection School Of Computing and Information Systems
As one of the most important cultural heritages, classical western paintings have always played a special role in human live and been applied for many different purposes. While image classification is the subject of a plethora of related publications, relatively little attention has been paid to automatic categorization of western classical paintings which could be a key technique of modern digital library, museums and art galleries. This paper studies automatic classification on large western painting image collection. We propose a novel framework to support automatic classification on large western painting image collections. With this framework, multiple visual features can be …
An Examination Of Perceptions Of Male And Female Avatars, D. Dewester, Fiona Fui-Hoon Nah, S. Gervais, Keng Siau
An Examination Of Perceptions Of Male And Female Avatars, D. Dewester, Fiona Fui-Hoon Nah, S. Gervais, Keng Siau
Research Collection School Of Computing and Information Systems
Virtual worlds are three-dimensional, computer-generated worlds in which users take the form of avatars. Through their avatars, users can interact with objects and other avatars in the virtual world. Virtual worlds are growing in importance in both educational institutions and businesses. Educational institutions have adopted virtual worlds as a medium for instructional delivery whereas businesses are using virtual worlds for recruitment, training, collaboration, and marketing. Given these emerging phenomena, a better understanding of behavioral and perceptual issues in virtual worlds is warranted. In this paper, we propose a research model to study gender stereotypicality of male and female avatars and …
Integrated Cognitive Architectures: A Survey, Hui-Qing Chong, Ah-Hwee Tan, Gee-Wah Ng
Integrated Cognitive Architectures: A Survey, Hui-Qing Chong, Ah-Hwee Tan, Gee-Wah Ng
Research Collection School Of Computing and Information Systems
This article aims to present an account of the state of the art research in the field of integrated cognitive architectures by providing a review of six cognitive architectures, namely Soar, ACT-R, ICARUS, BDI, the subsumption architecture and CLARION. We conduct a detailed functional comparison by looking at a wide range of cognitive components, including perception, memory, goal representation, planning, problem solving, reasoning, learning, and relevance to neurobiology. In addition, we study the range of benchmarks and applications that these architectures have been applied to. Although no single cognitive architecture has provided a full solution with the level of human …
Learning Image‐Text Associations, Tao Jiang, Ah-Hwee Tan
Learning Image‐Text Associations, Tao Jiang, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Web information fusion can be defined as the problem of collating and tracking information related to specific topics on the World Wide Web. Whereas most existing work on Web information fusion has focused on text-based multidocument summarization, this paper concerns the topic of image and text association, a cornerstone of cross-media Web information fusion. Specifically, we present two learning methods for discovering the underlying associations between images and texts based on small training data sets. The first method based on vague transformation measures the information similarity between the visual features and the textual features through a set of predefined domain-specific …
Modelling Situation Awareness For Context‐Aware Decision Support, Yu-Hong Feng, Teck-Hou Teng, Ah-Hwee Tan
Modelling Situation Awareness For Context‐Aware Decision Support, Yu-Hong Feng, Teck-Hou Teng, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Situation awareness modelling is popularly used in the command and control domain for situation assessment and decision support. However, situation models in real-world applications are typically complex and not easy to use. This paper presents a Context-aware Decision Support (CaDS) system, which consists of a situation model for shared situation awareness modelling and a group of entity agents, one for each individual user, for focused and customized decision support. By incorporating a rule-based inference engine, the entity agents provide functions including event classification, action recommendation, and proactive decision making. The implementation and the performance of the proposed system are demonstrated …
A Semiotic Analysis Of Unified Modeling Language Graphical Notations, Keng Siau, Yuhong Tian
A Semiotic Analysis Of Unified Modeling Language Graphical Notations, Keng Siau, Yuhong Tian
Research Collection School Of Computing and Information Systems
Unified modeling language (UML) is the standard modeling language for object-oriented system development. Despite its status as a standard, UML has a fuzzy formal specification and a weak theoretical foundation. Semiotics, the study of signs, provides a good theoretical foundation for UML research because graphical notations (or visual signs) of UML are subjected to the principles of signs. In our research, we use semiotics to study the effectiveness of graphical notations in UML. We hypothesized that the use of iconic signs as UML graphical notations leads to representation that is more accurately interpreted and that arouses fewer connotations than the …