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Articles 4081 - 4110 of 4258
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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 …
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.
Cryptanalysis Of The M-Permutation Protection Schemes, Hongjun Wu, Feng Bao, Dingfeng Ye, Robert H. Deng
Cryptanalysis Of The M-Permutation Protection Schemes, Hongjun Wu, Feng Bao, Dingfeng Ye, Robert H. Deng
Research Collection School Of Computing and Information Systems
Anderson and Kuhn have proposed the EEPROM modification attack to recover the secret key stored in the EEPROM. At ACISP ’98, Fung and Gray proposed an m-permutation protection scheme against the EEPROM modification attack. At ACISP ’99, Fung and Gray pointed out that in their original scheme, a secret key with too small or too large Hamming weight could be recovered easily. Then they proposed a revised m- permutation protection scheme and claimed that their revised scheme does not leak any information of the secret key. In this paper, we break completely both the original and the revised …
Motion Characterization By Temporal Slices Analysis, Chong-Wah Ngo, Ting-Chuen Pong, Hong-Jiang Zhang, Roland T. Chin
Motion Characterization By Temporal Slices Analysis, Chong-Wah Ngo, Ting-Chuen Pong, Hong-Jiang Zhang, Roland T. Chin
Research Collection School Of Computing and Information Systems
This paper describes an approach to characterize camera and object motions based on the analysis of spatio temporal image volumes. In the spatio-temporal slices of image volumes, motion is depicted as oriented patterns. We propose a tensor histogram computation algorithm to represent these oriented patterns. The motion trajectories in a histogram are tracked to describe both the camera and object motions. In addition, we exploit the similarity of the temporal slices in a volume to reliably partition a volume into motion tractable units.
Re-Engineering Structures From Web Documents, Moh Chuang Hue, Ee Peng Lim, Wee-Keong Ng
Re-Engineering Structures From Web Documents, Moh Chuang Hue, Ee Peng Lim, Wee-Keong Ng
Research Collection School Of Computing and Information Systems
To realize a wide range of applications (including digital libraries) on the Web, a more structured way of accessing the Web is required and such requirement can be facilitated by the use of XML standard. In this paper, we propose a general framework for reverse engineering (or re-engineering) the underlying structures i.e.,the DTD from a collection of similarly structured XML documents when they share some common but unknown DTDs. The essential data structures and algorithms for the DTD generation have been delveloped and experiments on real Web collections have been conducted to demonstrate their feasibilty. In addition, we also proposed …
Decision Support Methods In Diabetic Patient Management By Insulin Administration Neural Network Vs. Induction Methods For Knowledge Classification, B. V. Ambrosiadou, S. Vadera, Venky Shankaraman, D. Goulis, G. Gogou
Decision Support Methods In Diabetic Patient Management By Insulin Administration Neural Network Vs. Induction Methods For Knowledge Classification, B. V. Ambrosiadou, S. Vadera, Venky Shankaraman, D. Goulis, G. Gogou
Research Collection School Of Computing and Information Systems
Diabetes mellitus is now recognised as a major worldwide public health problem. At present, about 100 million people are registered as diabetic patients. Many clinical, social and economic problems occur as a consequence of insulin-dependent diabetes. Treatment attempts to prevent or delay complications by applying ‘optimal’ glycaemic control. Therefore, there is a continuous need for effective monitoring of the patient. Given the popularity of decision tree learning algorithms as well as neural networks for knowledge classification which is further used for decision support, this paper examines their relative merits by applying one algorithm from each family on a medical problem; …
Predictive Adaptive Resonance Theory And Knowledge Discovery In Databases, Ah-Hwee Tan, Hui-Shin Vivien Soon
Predictive Adaptive Resonance Theory And Knowledge Discovery In Databases, Ah-Hwee Tan, Hui-Shin Vivien Soon
Research Collection School Of Computing and Information Systems
This paper investigates the scalability of predictive Adaptive Resonance Theory (ART) networks for knowledge discovery in very large databases. Although predictive ART performs fast and incremental learning, the number of recognition categories or rules that it creates during learning may become substantially large and cause the learning speed to slow down. To tackle this problem, we introduce an on-line algorithm for evaluating and pruning categories during learning. Benchmark experiments on a large scale data set show that on-line pruning has been effective in reducing the number of the recognition categories and the time for convergence. Interestingly, the pruned networks also …
On The Validity Of Digital Signatures, Jianying Zhou, Robert H. Deng
On The Validity Of Digital Signatures, Jianying Zhou, Robert H. Deng
Research Collection School Of Computing and Information Systems
An important feature of digital signatures is to serve as non-repudiation evidence. To be eligible as non-repudiation evidence, a digital signature on an electronic document should remain valid until its expiry date which is specified by some non-repudiation policy. As signature keys may be compromised and the validity of signatures may become questionable, additional security mechanisms need to be imposed on digital signatures. This paper examines the mechanisms for maintaining the validity of digital signatures, and provides a guideline on the use of these mechanisms in various context of applications.
Sap Implementation At The University Of Nebraska, T. Sieber, Keng Siau, Fiona Fui-Hoon Nah, M. Sieber
Sap Implementation At The University Of Nebraska, T. Sieber, Keng Siau, Fiona Fui-Hoon Nah, M. Sieber
Research Collection School Of Computing and Information Systems
The University Community will have access to information, including human, physical, and financial, through an integrated administrative system. The system will be user-driven and flexible in a seamless and distributed environment to support efficient and effective business processes necessary to accommodate the mission of the University and its campuses.
Measurement Of The Z Resonance Parameters At Lep, R. Barate, M. Thulasidas
Measurement Of The Z Resonance Parameters At Lep, R. Barate, M. Thulasidas
Research Collection School Of Computing and Information Systems
The properties of the Z resonance are measured from the analysis of 4.5 million Z decays into fermion pairs collected with the ALEPH detector at LEP. The data are consistent with lepton universality. The resonance parameters are measured to be MZ=(91.1885±0.0031)GeV/c2MZ=(91.1885±0.0031)GeV/c2, ΓZ=(2.4951±0.0043)ΓZ=(2.4951±0.0043) GeV, σ0had=(41.559±0.058)σhad0=(41.559±0.058) nb and, combining the three lepton flavours, Rℓ=20.725±0.039Rℓ=20.725±0.039. The corresponding number of light neutrino species is Nν=2.983±0.013Nν=2.983±0.013 and the strong coupling constant is αs(MZ)=0.114±0.004±0.002QCD+0.005log10[MH150GeV/c2]αs(MZ)=0.114±0.004±0.002QCD+0.005log10[MH150GeV/c2]. The lepton pair forward-backward asymmetry is measured to be A0,ℓFB=0.0173±0.0016AFB0,ℓ=0.0173±0.0016 from which the effective weak mixing angle is derived: sin2θlepteff=0.23089±0.00089sin2θefflept=0.23089±0.00089. The measurement of the leptonic width Γℓℓ=84.02±0.15Γℓℓ=84.02±0.15 MeV leads to a determination …
Supervised Adaptive Resonance Theory And Rules, Ah-Hwee Tan
Supervised Adaptive Resonance Theory And Rules, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Supervised Adaptive Resonance Theory is a family of neural networks that performs incremental supervised learning of recognition categories (pattern classes) and multidimensional maps of both binary and analog patterns. This chapter highlights that the supervised ART architecture is compatible with IF-THEN rule-based symbolic representation. Specifically, the knowledge learned by a supervised ART system can be readily translated into rules for interpretation. Similarly, a priori domain knowledge in the form of IF-THEN rules can be converted into a supervised ART architecture. Not only does initializing networks with prior knowledge improve predictive accuracy and learning efficiency, the inserted symbolic knowledge can also …
Some Remarks On Fair Exchange Protocol, Jianying Zhou, Robert H. Deng, Feng Bao
Some Remarks On Fair Exchange Protocol, Jianying Zhou, Robert H. Deng, Feng Bao
Research Collection School Of Computing and Information Systems
Fair exchange turns out to be an increasingly important topic due to the rapid growth of electronic commerce. An exchange is deemed to be fair if at the end of exchange, either each party receives the expected item or neither party receives any useful information about the other’s item. Several protocols for fair exchange have been proposed in recent years. In this paper, we first examine a newly published fair exchange protocol and point out its flaws and weaknesses. We then put forward a more efficient and secure protocol and give an informal analysis.
Measurements Of The Structure Of Quark And Gluon Jets In Hadronic Z Decays, R. Barate, M. Thulasidas
Measurements Of The Structure Of Quark And Gluon Jets In Hadronic Z Decays, R. Barate, M. Thulasidas
Research Collection School Of Computing and Information Systems
An experimental investigation of the structure of identified quark and gluon jets is presented. Observables related to both the global and internal structure of jets are measured; this allows for tests of QCD over a wide range of transverse momentum scales. The observables include distributions of jet-shape variables, the mean and standard deviation of the subjet multiplicity distribution and the fragmentation function for charged particles. The data are compared with predictions of perturbative QCD as well as QCD-based Monte Carlo models. In certain kinematic regions the measurements are sensitive mainly to perturbatively calculable effects, allowing for a test of QCD. …
Study Of Charm Production In Z Decays, R. Barate, M. Thulasidas
Study Of Charm Production In Z Decays, R. Barate, M. Thulasidas
Research Collection School Of Computing and Information Systems
The production rates of D∗±D∗±, D∗±sDs∗±, D±D±, D0/D¯0D0/D¯0, D±sDs±, and Λ+c/Λ¯−cΛc+/Λ¯c− in Z→cc¯Z→cc¯ decays are measured using the LEP I data sample recorded by the ALEPH detector. The fractional energy spectrum of the D∗±D∗± is well described as the sum of three contributions: charm hadronisation, b hadron decays and gluon splitting into a pair of heavy quarks. The probability for a c quark to hadronise into a D∗+D∗+ is found to be f(c→D∗+)=0.233±0.010(stat.)±0.011(syst.)f(c→D∗+)=0.233±0.010(stat.)±0.011(syst.). The average fraction of the beam energy carried by D∗±D∗± mesons in Z→cc¯Z→cc¯ events is measured to be ⟨XE(D∗±)⟩cc¯=0.4878±0.0046(stat.)±0.0061(syst.).⟨XE(D∗±)⟩cc¯=0.4878±0.0046(stat.)±0.0061(syst.). The D∗±D∗± energy and the hemisphere mass imbalance …
An Integrated Data Mining System To Automate Discovery, Cecil Chua, Roger Hsiang-Li Chiang, Ee Peng Lim
An Integrated Data Mining System To Automate Discovery, Cecil Chua, Roger Hsiang-Li Chiang, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Many data analysts require tools which can integrate their database management packages (e.g. Microsoft Access) with their data analysis ones (e.g. SAS, SPSS), and provide guidance for the selection of appropriate mining algorithms. In addition, the analysts need to extract and validate statistical results to facilitate data mining. In this paper, we describe an integrated data mining system called the Linear Correlation Discovery System (LCDS) that meets the above requirement. LCDS consists of four major sub-components, two of which, the selection assistant and the statistics coupler, are discussed in this paper. The former examines the schema and instances to determine …
The Integration Of Relationship Instances From Heterogeneous Databases, Ee Peng Lim, Roger Hsiang-Li Chiang
The Integration Of Relationship Instances From Heterogeneous Databases, Ee Peng Lim, Roger Hsiang-Li Chiang
Research Collection School Of Computing and Information Systems
In the process of integrating legacy databases, one has to resolve inter-database conflicts at both the schema and instance levels. In this paper, we discuss relationship conflicts as a special type of conflicts to be resolved during the database integration. Relationships are properties that relate real world objects. So far, most inter-database relationship conflicts are addressed at the schema-level by various schema integration techniques. However, instance-level relationship conflicts are largely neglected. This paper therefore investigates the causes of instance-level relationship conflicts and proposes a taxonomy for classifying instance-level relationship conflicts. In addition, we develop a systematic process to resolve instance-level …
Inclusive Production Of Π0, Η, Η′ (958), Kg0s And Λ In Two- And Three-Jet Events From Hadronic Z Decays, R. Barate, M. Thulasidas
Inclusive Production Of Π0, Η, Η′ (958), Kg0s And Λ In Two- And Three-Jet Events From Hadronic Z Decays, R. Barate, M. Thulasidas
Research Collection School Of Computing and Information Systems
The production rates and the inclusive cross sections of the isovector meson π0π0, the isoscalar mesons ηη and η′(958)η′(958), the strange meson K0SKS0 and the ΛΛ baryon have been measured as functions of scaled energy in hadronic events, two-jet events and each jet of three-jet events from hadronic Z decays and compared to Monte Carlo models. The analysis is based on 3.7 million hadronic events collected with the ALEPH detector at LEP at a centre-of-mass energy of s√=91.2s=91.2 GeV. The JETSET modelling of the gluon fragmentation into isoscalar mesons is found to be in agreement with the experimental results. HERWIG …
Study Of Fermion Pair Production In E+E- Collisions At 130-183 Gev, R. Barate, M. Thulasidas
Study Of Fermion Pair Production In E+E- Collisions At 130-183 Gev, R. Barate, M. Thulasidas
Research Collection School Of Computing and Information Systems
The cross sections and forward-backward asymmetries of hadronic and leptonic events produced in e+e−e+e− collisions at centre-of-mass energies from 130 to 183 GeV are presented. Results for e+e−e+e−, μ+μ−μ+μ−, τ+τ−τ+τ−, qq¯qq¯, bb¯bb¯ and cc¯cc¯ production show no significant deviation from the Standard Model predictions. This enables constraints to be set upon physics beyond the Standard Model such as four-fermion contact interactions, leptoquarks, Z′Z′ bosons and R-parity violating squarks and sneutrinos. Limits on the energy scale ΛΛ of e+e−ff¯e+e−ff¯ contact interactions are typically in the range from 2 to 10 TeV. Limits on R-parity violating sneutrinos reach masses of a few …
Search For R-Parity Violating Decays Of Supersymmetric Particles In E+E- Collisions At Centre-Of-Mass Energies Near 183 Gev, R. Barate, M. Thulasidas
Search For R-Parity Violating Decays Of Supersymmetric Particles In E+E- Collisions At Centre-Of-Mass Energies Near 183 Gev, R. Barate, M. Thulasidas
Research Collection School Of Computing and Information Systems
Searches for pair-production of supersymmetric particles under the assumption that R-parity is violated via a single dominant LLE¯LLE¯, LQD¯LQD¯ or U¯D¯D¯U¯D¯D¯ coupling are performed using the data collected by the ALEPH collaboration at centre-of-mass energies of 181–184 GeV. The observed candidate events in the data are in agreement with the Standard Model expectations. Upper limits on the production cross-sections and lower limits on the masses of charginos, sleptons, squarks and sneutrinos are derived.
Implementing Sap R/3 At The University Of Nebraska, T. Sieber, Keng Siau, Fiona Fui-Hoon Nah, M. Sieber
Implementing Sap R/3 At The University Of Nebraska, T. Sieber, Keng Siau, Fiona Fui-Hoon Nah, M. Sieber
Research Collection School Of Computing and Information Systems
In April 1995, I asked four Nebraskans from the private sector and four senior people of the University to review the administrative processes of the University of Nebraska. In the appointment letter for this Task Force, I noted that many current administrative processes need to be examined to improve quality and productivity.
The Window Distribution Of Multiple Tcps With Random Loss Queues, Archan Misra, Teunis Ott, John Baras
The Window Distribution Of Multiple Tcps With Random Loss Queues, Archan Misra, Teunis Ott, John Baras
Research Collection School Of Computing and Information Systems
Two approximate techniques for analyzing the window size distribution of TCP flows sharing a RED-like bottleneck queue are presented. Both methods presented first use a fixed point algorithm to obtain the mean window sizes of the flows, and the mean queue length in the bottleneck buffer. The simpler of the two methods then uses the ‘square root formula’ for TCP; the other method is more complicated. More often than not, the simpler method is slightly more accurate; this is probably due to the fact that window sizes of the different flows are negatively correlated.
Design Approaches To Model-Based Simulation In Intelligent Computer Assisted Instruction, Bjoern Helfesrieder, Venky Shankararaman
Design Approaches To Model-Based Simulation In Intelligent Computer Assisted Instruction, Bjoern Helfesrieder, Venky Shankararaman
Research Collection School Of Computing and Information Systems
Model-based simulation systems have been created in various fields of engineering to train personnel or students in operation, maintenance and troubleshooting of complex devices and systems. A review of literature indicates a lack of good overviews of the approaches to system design of model-based training simulations in Intelligent Computer Assisted Instruction (ICAI). Though single systems have to some extent been evaluated with regard to their performance, an organised evaluation, especially a comparative evaluation of the systems that have been created within the field is lacking. To be able to successfully conduct an in-depth review under these conditions, we concentrate and …
Motion Tracking Of Human Mouth By Generalized Deformable Models, Syin Chan, Chong-Wah Ngo, Kok F. Lai
Motion Tracking Of Human Mouth By Generalized Deformable Models, Syin Chan, Chong-Wah Ngo, Kok F. Lai
Research Collection School Of Computing and Information Systems
We propose and evaluate four trackers for tracking the shape, motion and deformation of a human mouth in video sequences. The trackers are suitable for use in very low bitrate video coding systems. (C) 1999 Elsevier Science B.V. All rights reserved.
Camera Break Detection By Partitioning Of 2d Spatio-Temporal Images In Mpeg Domain, Chong-Wah Ngo
Camera Break Detection By Partitioning Of 2d Spatio-Temporal Images In Mpeg Domain, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
In this paper, we propose a new approach to detect camera cuts and wipes. The approach projects a video into two images representing the spatio-temporal continuity of a video life. Visually, these images are composed by regions of different patterns, each region represents the temporal location of a shot. The shape of a region boundary inherently classifies cut and wipe, and most importantly, marks the start and end of a wipe sequence. We hence formulate algorithms to locate the color and texture discontinuities occurring at the boundaries of image regions.
The Effectiveness Of Expert Support Technology For Decision Making: Individuals Versus Small Groups, Fiona Fui-Hoon Nah, Jiye Mao, Izak Benbasat
The Effectiveness Of Expert Support Technology For Decision Making: Individuals Versus Small Groups, Fiona Fui-Hoon Nah, Jiye Mao, Izak Benbasat
Research Collection School Of Computing and Information Systems
Expert support systems (ESSs) are increasingly used in organizations to support individuals and groups in decision making. Although ESSs have been shown to enhance the decision-making capabilities of individuals, their benefits in supporting group decision making are less clear. To the best of our knowledge, no empirical research has evaluated the effectiveness of the technology in the group setting or compared its usefulness for supporting individual versus group decision making. The results of this research show that ESSs benefit decision making of both individuals and groups and novices are able to gain more from ESSs than experts. The findings also …
Detection Of Gradual Transitions Through Temporal Slice Analysis, Chong-Wah Ngo, T. C. Pong, R. T. Chin
Detection Of Gradual Transitions Through Temporal Slice Analysis, Chong-Wah Ngo, T. C. Pong, R. T. Chin
Research Collection School Of Computing and Information Systems
In this paper, we present approaches for detecting camera cuts, wipes and dissolves based on the analysis of spatio-temporal slices obtained from videos. These slices are composed of spatial ly and temporal ly coherent regions which can be perceived as shots. In the proposed methods, camera breaks are located by performing color-texture segmentation and statistical analysis on these video slices. In addition to detecting camera breaks, our methods can classify the detected breaks as camera cuts, wipes and dissolves in an efficient manner
Notepals: Lightweight Note Sharing By The Group, For The Group, Richard C. Davis, James A. Landay, Victor Chen, Jonathan Huang, Rebecca B. Lee, Francis Li, James Lin, Charles B. Morrey, Morgan N. Price, Bill N. Schilit
Notepals: Lightweight Note Sharing By The Group, For The Group, Richard C. Davis, James A. Landay, Victor Chen, Jonathan Huang, Rebecca B. Lee, Francis Li, James Lin, Charles B. Morrey, Morgan N. Price, Bill N. Schilit
Research Collection School Of Computing and Information Systems
NotePals is a lightweight note sharing system that gives group members easy access to each others experiences through their personal notes. The system allows notes taken by group members in any context to be uploaded to a shared repository. Group members view these notes with browsers that allow them to retrieve all notes taken in a given context or to access notes from other related notes or documents. This is possible because NotePals records the context in which each note is created (e.g., its author, subject, and creation time). The system is lightweight because it fits easily into group members …
Information Modeling And Method Engineering: A Psychological Perspective, Keng Siau
Information Modeling And Method Engineering: A Psychological Perspective, Keng Siau
Research Collection School Of Computing and Information Systems
Information modeling is the cornerstone of information systems analysis and design. Information models, the products of information modeling, not only provide the abstractions required to facilitate communication between the analysts and end users, but they also provide a formal basis for developing tools and techniques used in information systems development. The process of designing, constructing, and adapting information modeling methods for information systems development is known as method engineering. Despite the pivotal role of modeling methods in successful information systems development, most modeling methods are designed based on common sense and intuition of the method designers with little or no …
The Window Distribution Of Idealized Tcp Congestion Avoidance With Variable Packet Loss, Archan Misra, Teunis J. Ott
The Window Distribution Of Idealized Tcp Congestion Avoidance With Variable Packet Loss, Archan Misra, Teunis J. Ott
Research Collection School Of Computing and Information Systems
This paper analyzes the stationary behavior of the TCP congestion window performing ideal congestion avoidance when the packet loss probability is not constant, but varies as a function of the window size. By neglecting the detailed window behavior during fast recovery, we are able to derive a Markov process that is then approximated by a continuous-time, continuous state space process. The stationary distribution of this process is analyzed and derived numerically and then extrapolated to obtain the stationary distribution of the TCP window. This numerical analysis enables us to predict the behavior of the TCP congestion window when interacting with …