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Articles 8671 - 8700 of 9003
Full-Text Articles in Computer Sciences
Generating Market Basket Data With Temporal Information, Yingjiu Li, Peng Ning, X. Sean Wang, Sushil Jajodia
Generating Market Basket Data With Temporal Information, Yingjiu Li, Peng Ning, X. Sean Wang, Sushil Jajodia
Research Collection School Of Computing and Information Systems
This paper presents a synthetic data generator that outputs timestamped transactional data with embedded temporal patterns controlled by a set of input parameters. In particular, calendar schema, which is determined by a hierarchy of input time granularities, is used as a framework of possible temporal patterns. An example of calendar schema is (year, month, day), which provides a framework for calendar-based temporal patterns of the form -38352 , where each is either an integer or the symbol . For example, is such a pattern, which corresponds to the time intervals consisting of all the 16th days of all months in …
Recent Advances In Content-Based Video Analysis, Chong-Wah Ngo, Ting-Chuen Pong, Hong-Jiang Zhang
Recent Advances In Content-Based Video Analysis, Chong-Wah Ngo, Ting-Chuen Pong, Hong-Jiang Zhang
Research Collection School Of Computing and Information Systems
In this paper, we present major issues in video parsing, abstraction, retrieval and semantic analysis. We discuss the success, the difficulties and the expectations in these areas. In addition, we identify important opened problems that can lead to more sophisticated ways of video content analysis. For video parsing, we discuss topics in video partitioning, motion characterization and object segmentation. The success in video parsing, in general, will have a great impact on video representation and retrieval. We present three levels of abstracting video content by scene, keyframe and key object representations. These representation schemes in overall serve as a good …
Secure And Private Distribution Of Online Video And Some Related Cryptographic Issues, Feng Bao, Robert H. Deng, Peirong Bao, Yan Guo, Hongjun Wu
Secure And Private Distribution Of Online Video And Some Related Cryptographic Issues, Feng Bao, Robert H. Deng, Peirong Bao, Yan Guo, Hongjun Wu
Research Collection School Of Computing and Information Systems
With the rapid growth of broadband infrastructure, it is thought that the bottleneck for video-on-demand service through Internet is being cleared. However, digital video content protection and consumers privacy protection emerge as new major obstacles. In this paper we propose an online video distribution system with strong content security and privacy protection. We mainly focus on the study of security and privacy problems related to the system. Besides presenting the new system, we intensively discuss some relevant cryptographic issues, such as content protection, private information retrieval, super-speed encryption/decryption for video, and PKC with fast decryption etc. The paper can be …
Mobile Commerce: Promises, Challenges And Research Agenda, Keng Siau, Ee Peng Lim
Mobile Commerce: Promises, Challenges And Research Agenda, Keng Siau, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Advances in wireless technology increase the number of mobile device users and give pace to the rapid development of e-commerce using these devices. The new type of e-commerce, conducting transactions via mobile terminals, is called mobile commerce. Due to its inherent characteristics such as ubiquity, personalization, flexibility, and dissemination, mobile commerce promises businesses unprecedented market potential, great productivity, and high profitability. This paper presents an overview of mobile commerce development by examining the enabling technologies, the impact of mobile commerce on the business world, and the implications to mobile commerce providers. The paper also provides an agenda for future research …
Application-Centric Analysis Of Ip-Based Mobility Management Techniques, Archan Misra, Subir Das, Prathima Agrawal
Application-Centric Analysis Of Ip-Based Mobility Management Techniques, Archan Misra, Subir Das, Prathima Agrawal
Research Collection School Of Computing and Information Systems
This paper considers three applications—VoIP, mobile Web access and mobile server-based data transfers—and evaluates the applicability of various IP-based mobility management mechanisms. We first survey the features and characteristics of various IP mobility protocols, such as MIPv4, MIPv6, MIP-RO, SIP, CIP, HAWAII, MIP-RR and IDMP, and then evaluate their utility on an application-specific basis. The diversity in the mobility-related requirements ensures that no single mobility solution is universally applicable. We recommend a hierarchical mobility architecture. The framework uses our Dynamic Mobility Agent (DMA) architecture for managing intra-domain mobility and multiple application-based binding protocols for supporting inter-domain mobility. Thus, we recommend …
Genetic Algorithms For Communications Network Design - An Empirical Study Of The Factors That Influence Performance, Hsinghua Chou, G. Premkumar, Chao-Hsien Chu
Genetic Algorithms For Communications Network Design - An Empirical Study Of The Factors That Influence Performance, Hsinghua Chou, G. Premkumar, Chao-Hsien Chu
Research Collection School Of Computing and Information Systems
We explore the use of GAs for solving a network optimization problem, the degree-constrained minimum spanning tree problem. We also examine the impact of encoding, crossover, and mutation on the performance of the GA. A specialized repair heuristic is used to improve performance. An experimental design with 48 cells and ten data points in each cell is used to examine the impact of two encoding methods, three crossover methods, two mutation methods, and four networks of varying node sizes. Two performance measures, solution quality and computation time, are used to evaluate the performance. The results obtained indicate that encoding has …
Effect Of Exponential Averaging On The Variability Of A Red Queue, Archan Misra, Teunis Ott, John Baras
Effect Of Exponential Averaging On The Variability Of A Red Queue, Archan Misra, Teunis Ott, John Baras
Research Collection School Of Computing and Information Systems
The paper analyzes how using a longer memory of the past queue occupancy in computing the average queue occupancy affects the stability and variability of a RED queue. Extensive simulation studies with both persistent and Web TCP sources are used to study the variance of the RED queue as a function of the memory of the averaging process. Our results show that there is very little performance improvement (and in fact, possibly significant performance degradation) if the length of memory is increased beyond a very small value. Contrary to current practice, our results show that a longer memory reduces the …
Implementation And Performance Evaluation Of Telemip, Kaushik Chakraborty, Archan Misra, Subir Das, Anthony J. Mcauley, Ashutosh Dutta, Sajal K. Das
Implementation And Performance Evaluation Of Telemip, Kaushik Chakraborty, Archan Misra, Subir Das, Anthony J. Mcauley, Ashutosh Dutta, Sajal K. Das
Research Collection School Of Computing and Information Systems
In this paper, we present our implementation of TeleMIP a two-level architecture for IP based mobility management TeleMIP essentially uses an Intra-Domain Mobility Management Protocol IDMP for managing mobility within a domain and Mobile IP for supporting inter-domain global mobility. Unlike other proposed schemes for intra-domain mobility management IDMP uses two care of addresses for mobility management The global care of address is relatively stable and identifies the mobile nodes current domain[1] while the local care of address changes every time the mobile changes subnets and identifies the mobiles current point of attachment. The paper describes our TeleMIP implementation based …
Idmp-Based Fast Handoffs And Paging In Ip-Based Cellular Networks, Archan Misra, Subir Das, Ashutosh Dutta, Sajal K. Das
Idmp-Based Fast Handoffs And Paging In Ip-Based Cellular Networks, Archan Misra, Subir Das, Ashutosh Dutta, Sajal K. Das
Research Collection School Of Computing and Information Systems
We consider the use of our previously proposed Intra-Domain Mobility Management Protocol (IDMP) in fourth-generation mobile networks. On evaluating the heterogeneous access technologies, cellular layouts, and application characteristics of 4G environments, we realize a need to reduce both handoff latency and the frequency of mobility-related signaling. We first present IDMP's fast intradomain handoff mechanism that uses a duration-limited proactive packet multicasting solution. We quantify the expected buffering requirements of our proposed multicasting scheme for typical 4G network characteristics and compare it with alternative IP-based fast handoff solutions. We also present a paging scheme under IDMP that replicates the current cellular …
The Next Wave In Erp Implementation, Keng Siau, Y. Tian
The Next Wave In Erp Implementation, Keng Siau, Y. Tian
Research Collection School Of Computing and Information Systems
Although the benefits of ERP are obvious, the risks and costs associated with it are very high. Some problems in implementing ERP system are documented, but the real challenge comes from the Internet and E-business. ERP is an enterprise wide system whose purpose is to achieve internal efficiency, while E-business cuts across different enterprises and extends the individual value chain into an Internet based, dynamic process aimed at maximizing external efficiency. To survive the E-business challenge, the arguably single, and also the best, solution for ERP systems is to integrate with E-business applications, which we call ERP II. By properly …
Predictive Self-Organizing Networks For Text Categorization, Ah-Hwee Tan
Predictive Self-Organizing Networks For Text Categorization, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
This paper introduces a class of predictive self-organizing neural networks known as Adaptive Resonance Associative Map (ARAM) for classification of free-text documents. Whereas most sta- tistical approaches to text categorization derive classification knowledge based on training examples alone, ARAM performs supervised learn- ing and integrates user-defined classification knowledge in the form of IF-THEN rules. Through our experiments on the Reuters-21578 news database, we showed that ARAM performed reasonably well in mining categorization knowledge from sparse and high dimensional document feature space. In addition, ARAM predictive accuracy and learning efficiency can be improved by incorporating a set of rules derived from …
Tcp Hack: Tcp Header Checksum Option To Improve Performance Over Lossy Links, Rajesh Krishna Balan, Boon Peng Lee, Renjish Kumar, Jacob Lillykutty, Winston Seah, A. L. Ananda
Tcp Hack: Tcp Header Checksum Option To Improve Performance Over Lossy Links, Rajesh Krishna Balan, Boon Peng Lee, Renjish Kumar, Jacob Lillykutty, Winston Seah, A. L. Ananda
Research Collection School Of Computing and Information Systems
Wireless networks have become increasingly common and an increasing number of devices are communicating with each other over lossy links. Unfortunately, TCP performs poorly over lossy links as it is unable to differentiate the loss due to packet corruption from that due to congestion. We present an extension to TCP which enables TCP to distinguish packet corruption from congestion in lossy environments resulting in improved performance. We refer to this extension as the HeAder ChecKsum option (HACK). We implemented our algorithm in the Linux kernel and performed various tests to determine its effectiveness. Our results have shown that HACK performs …
Topic Detection, Tracking, And Trend Analysis Using Self-Organizing Neural Networks, Kanagasabai Rajaraman, Ah-Hwee Tan
Topic Detection, Tracking, And Trend Analysis Using Self-Organizing Neural Networks, Kanagasabai Rajaraman, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
We address the problem of Topic Detection and Tracking (TDT) and subsequently detecting trends from a stream of text documents. Formulating TDT as a clustering problem in a class of self-organizing neural networks, we propose an incremental clustering algorithm. On this setup we show how trends can be identified. Through experimental studies, we observe that our method enables discovering interesting trends that are deducible only from reading all relevant documents.
Cryptanalysis Of A Digital Signature Scheme On Id-Based Key-Sharing Infrastructures, Hongjun Wu, Feng Bao, Robert H. Deng
Cryptanalysis Of A Digital Signature Scheme On Id-Based Key-Sharing Infrastructures, Hongjun Wu, Feng Bao, Robert H. Deng
Research Collection School Of Computing and Information Systems
At ISW’99, Nishioka, Hanaoka and Imai proposed a digital signature scheme on ID-based key-sharing infrastructures. That signature scheme is claimed to be secure if the discrete logarithm problem is hard to solve. Two schemes (the ID-type and the random-type schemes) based on the linear scheme for the Key Predistribution Systems (KPS) and the discrete logarithm problem (DLP) were given. In this paper we show that those two schemes fail to meet the nonrepudiation requirement: with negligible amount of computation, a signature could be forged. For the ID-type signature scheme, any verifier could forge a signature to raise repudiation between that …
Cryptanalysis Of Two Sparse Polynomial Based Public Key Cryptosystems, Feng Bao, Robert H. Deng, Willi Geiselmann, Claus Schnorr, Rainer Steinwandt, Hongjun Wu
Cryptanalysis Of Two Sparse Polynomial Based Public Key Cryptosystems, Feng Bao, Robert H. Deng, Willi Geiselmann, Claus Schnorr, Rainer Steinwandt, Hongjun Wu
Research Collection School Of Computing and Information Systems
The application of sparse polynomials in cryptography has been studied recently. A public key encryption scheme EnRoot [4] and an identification scheme SPIFI [1] based on sparse polynomials were proposed. In this paper, we show that both of them are insecure. The designers of SPIFI proposed the modified SPIFI [2] after Schnorr pointed out some weakness in its initial version. Unfortunately, the modified SPIFI is still insecure. The same holds for the generalization of EnRoot proposed in [2].
A Framework For Performance And Value Assessment Of E-Business Systems In Corporate Travel Distribution, A.M. Chircu, Robert J. Kauffman
A Framework For Performance And Value Assessment Of E-Business Systems In Corporate Travel Distribution, A.M. Chircu, Robert J. Kauffman
Research Collection School Of Computing and Information Systems
This chapter proposes and illustrates a framework that the authors call the value life cycle for e-commerce systems. Based on recent research results that relate to technology investments in the corporate travel industry and related theoretical and empirical perspectives, the authors lay out the corporate travel e-commerce system solutions value life cycle. The perspective involves estimating the maximum value that that an organization can obtain by implementing an e-commerce system in a specific industry and competitive environment. It also considers multiple factors that act as value contingencies for the implementation process. These create barriers to value accrual and to …
Ontologies And Electronic Commerce, Dieter Fensel, Deborah L. Mcguinness, Ellen Schulten, Wee-Keong Ng, Ee Peng Lim, Guanghao Yan
Ontologies And Electronic Commerce, Dieter Fensel, Deborah L. Mcguinness, Ellen Schulten, Wee-Keong Ng, Ee Peng Lim, Guanghao Yan
Research Collection School Of Computing and Information Systems
Ontologies are the first step toward realizing the full power of online e-commerce. Ontologies enable machine-understandable semantics of data, and building this data infrastructure will enable completely new kinds of automated services. Software agents can search for products, form buyer and seller coalitions, negotiate about products, or help automatically configure products and services according to specified user requirements. The combination of machine-processable semantics of data based on ontologies and the development of many specialized reasoning services will bring the Web to its full power. The authors discuss: taxonomies; information sources; future issues; business viewpoints; the e-marketplace; and B2B e-commerce standardisation …
Incorporating Window-Based Passage-Level Evidence In Document Retrieval, Wensi Xi, Richard Xu-Rong, Christopher Soo Guan Khoo, Ee Peng Lim
Incorporating Window-Based Passage-Level Evidence In Document Retrieval, Wensi Xi, Richard Xu-Rong, Christopher Soo Guan Khoo, Ee Peng Lim
Research Collection School Of Computing and Information Systems
This study investigated whether document retrieval can be improved if documents are divided into smaller sub-documents or passages and the retrieval score for these passages are incorporated in the final retrieval score for the whole document. The documents were segmented by sliding a window of a certain size across the document and extracting the words displayed each time the window stopped. A retrieval score was calculated for each of the passages extracted and the highest score obtained by a passage of that size was taken as the document’s passage-level score for that window size. A range of window sizes was …
Unified Modeling Language: A Complexity Analysis, Keng Siau, Q. Cao
Unified Modeling Language: A Complexity Analysis, Keng Siau, Q. Cao
Research Collection School Of Computing and Information Systems
Unified Modeling Language (UML) is the standard visual modeling language for Object Oriented (OO) systems development, but it has been criticized for its complexity, inconsistent semantics, and ambiguous constructs. A set of complexity indices for UML and the nine diagramming techniques in UML was compiled recently. The complexity analysis is formulated based on the number of constructs, associations, roles, and so forth, in a modeling method. We argue that this set of metrics provides an indication of the theoretical complexity of the modeling methods. On the other hand, the theoretical complexity of the modeling methods does not necessarily relate to …
Knowledge Discovery As An Aid To Organizational Creativity, Keng Siau
Knowledge Discovery As An Aid To Organizational Creativity, Keng Siau
Research Collection School Of Computing and Information Systems
Computers can play an important role in the creative process. With the abundance of data and increasing speed of computers, creativity can now be stimulated and enhanced with knowledge mined from available data. The process is known as knowledge discovery or data mining. Knowledge discovery is the process of discovering interesting associations among data in the database. Users in the creativity process can feed on the discovered associations to generate creative solutions. The objective of this paper is to present knowledge discovery as an aid to creativity. The paper first presents the concept of knowledge discovery and then discusses the …
An Efficient And Practical Scheme For Privacy Protection In E-Commerce Of Digital Goods, Feng Bao, Robert H. Deng, Peirong Feng
An Efficient And Practical Scheme For Privacy Protection In E-Commerce Of Digital Goods, Feng Bao, Robert H. Deng, Peirong Feng
Research Collection School Of Computing and Information Systems
It is commonly acknowledged that customers’ privacy in electronic commerce should be well protected. The solutions may come not only from the ethics education and legislation, but also from cryptographic technologies. In this paper we propose and analyze a privacy protection scheme for e-commerce of digital goods. The scheme takes cryptography as its technical means to realize privacy protection for online customers. It is efficient in both computational cost and communication cost. It is very practical for real e-commerce systems compared with previous solutions. The cryptographic technique presented in this paper is rather simple. But the scheme has great application …
Generalized Tcp Congestion Avoidance And Its Effect On Bandwidth Sharing And Variability, Archan Misra, John Baras, Teunis Ott
Generalized Tcp Congestion Avoidance And Its Effect On Bandwidth Sharing And Variability, Archan Misra, John Baras, Teunis Ott
Research Collection School Of Computing and Information Systems
To model possible suggested changes in TCP window adaptation in response to randomized feedback, such as ECN (explicit congestion notification), we formulate a generalized version of the TCP congestion avoidance algorithm. We first consider multiple such generalized TCP flows sharing a bottleneck buffer under the assured service model and use a fixed point technique to obtain the mean window sizes and throughputs for the TCP flows, To further study how changes in the adaptation algorithm affect the variability in the throughput, we use an analytical-cum-numerical technique to derive the window distribution (and related statistics) of a single generalized flow under …
Collaborative Model And Algorithms For Supporting Real-Time Distribution Logistics Systems, Hoong Chuin Lau, Qi Zhang Liu
Collaborative Model And Algorithms For Supporting Real-Time Distribution Logistics Systems, Hoong Chuin Lau, Qi Zhang Liu
Research Collection School Of Computing and Information Systems
We study a complex optimization problem that arises due to an emerging trend in distribution logistics. The problem involves the integration of an inventory management problem and the vehicle routing problem with time windows, both of which are known to be NP-hard. We describe a collaborative approach to solve this problem in real-time. The novelty of our approach lies in the tight algorithmic integration between two sub-problems, and suggests an elegant scheme to deal with other integrated optimization problems of the same nature. For first sub-problem, we will present two algorithms: a complete mathematical model integrating integer programming with constraint …
Extensible Mpeg-4 Textual Format (Xmt), Michelle Kim, Steve Wood, Lai-Tee Cheok
Extensible Mpeg-4 Textual Format (Xmt), Michelle Kim, Steve Wood, Lai-Tee Cheok
Research Collection School Of Computing and Information Systems
This paper describes the Extensible MPEG-4 Textual format (XMT), a framework for representing MPEG-4 scene description using a textual syntax. The XMT allows the content authors to exchange their content with other authors, tools or service providers, and facilitates interoperability with both the X3D, developed by the Web3D consortium, and the Synchronized Multimedia Integration Language (SM1L) from the W3C consortium.
Using 'Drop-Biasing' To Stabilize The Occupancy Of Random-Drop Queues With Tcp Traffic, Archan Misra, Teunis Ott, John Baras
Using 'Drop-Biasing' To Stabilize The Occupancy Of Random-Drop Queues With Tcp Traffic, Archan Misra, Teunis Ott, John Baras
Research Collection School Of Computing and Information Systems
The paper describes how the use of ‘drop-biasing’, a technique to control the distribution of the gap between consecutive packet losses in random drop queues (such as RED) can be used to reduce the variability of the queue occupancy with TCP traffic. Reducing the variance of the queue occupancy reduces delay jitter for buffered packets, as well as decreases the likelihood of buffer underflow. We find that modifying the packet drop probabilities to ensure a minimum separation between consecutive packet drops serves to decrease the variability in the queue occupancy. This is really achieved as a result of the increased …
Side Collision Warning System For Transit Buses, Sue Mcneil, David Duggins, Christoph Mertz, Arne Suppe, Chuck Thorpe
Side Collision Warning System For Transit Buses, Sue Mcneil, David Duggins, Christoph Mertz, Arne Suppe, Chuck Thorpe
Research Collection School Of Computing and Information Systems
Transit buses are involved in many more accidents than other vehicles. Collision warning systems (CWS) are therefore placed most efficiently on these buses. In our project, we investigate their operating environment and available technologies to develop performance specifications for such CWS. The paper discusses our findings of transit buses driving through very cluttered surroundings and being involved in many different types of accidents where currently available CWS no not work effectively. One of the focuses of our work is pedestrians around the bus and their detection.
Motion-Based Video Representation For Scene Change Detection, Chong-Wah Ngo, Ting-Chuen Pong, Hong-Jiang Zhang, Roland T. Chin
Motion-Based Video Representation For Scene Change Detection, Chong-Wah Ngo, Ting-Chuen Pong, Hong-Jiang Zhang, Roland T. Chin
Research Collection School Of Computing and Information Systems
We present a new ly developed scheme for automatical ly partitioning videos into scenes. A scene is general ly referred to as a group of shots taken place in the same site. In this paper, we first propose a motion annotation algorithm based on the analysis of spatiotemporal image volumes. The algorithm characterizes the motions within shots by extracting and analyzing the motion trajectories encoded in the temporal slices of image volumes. A motion-based keyframe computing and selection strategy is thus proposed to compactly represent the content of shots. With these techniques, we further present a scene change detection algorithm …
A Meta-Analysis On Relationship Modeling Accuracy: Comparing Relational And Semantic Models, Qing Cao, Fiona Fui-Hoon Nah, Keng Siau
A Meta-Analysis On Relationship Modeling Accuracy: Comparing Relational And Semantic Models, Qing Cao, Fiona Fui-Hoon Nah, Keng Siau
Research Collection School Of Computing and Information Systems
Semantic data modeling, such as entity-relationship (ER) modeling and extended/enhanced entity-relationship (EER) modeling, has emerged as an alternative to relational data modeling. The majority of research in data modeling suggests that the use of semantic data models leads to better performance. However the findings are not conclusive and sometimes inconsistent. In this research, we investigate modeling relationship correctness in relational and semantic models. The meta-analysis carried out in this research is an attempt to alleviate inconsistent results in previous studies.
Electronic Commerce Strategy – Looking Through The Lenses Of An Innovation Strategy Model, A. Fruhling, Keng Siau
Electronic Commerce Strategy – Looking Through The Lenses Of An Innovation Strategy Model, A. Fruhling, Keng Siau
Research Collection School Of Computing and Information Systems
The world is in the midst of a revolution in the way businesses perform commerce. Many industries who were in the past relatively low tech are now finding themselves in a situation where they must embrace technology and prepare to compete head-on using ECommerce. This paradigm shift in thinking and competition is creating opportunities and chaos. This paper examines the innovation capability of organizations in evaluating and deploying their E-Commerce strategies. An Innovation Strategy Model is used in this research as the theoretical foundation. The case study and survey research methodologies were selected. Data gathering and analysis are in progress. …
E-Commerce Systems: Architecture, Infrastructure, Model, And Development Methodology, A. Bajaj, Keng Siau
E-Commerce Systems: Architecture, Infrastructure, Model, And Development Methodology, A. Bajaj, Keng Siau
Research Collection School Of Computing and Information Systems
The last decade has seen tremendous growth in the world wide web (WWW) (Berners-Lee, Caillau, Luotonen, Nielsen, & Secret, 1994) and e-commerce, which now offers organizations and consumers a unique channel to deliver and purchase goods and services. E-commerce is popularly classified as B2B (business to business), B2C (business to consumer) and C2C (consumer to consumer). B2B e-commerce, which is currently the fastest growing segment of e-commerce (Fellenstein & Wood, 2000), consists of making more efficient the flow of goods and services across organizations. This efficiency is typically increased using standards for electronic data exchange, automating certain processes across organizations …