ppxscal/embedding_network huggingface dataset:
Visual representation model for motion direction selectivity
Authors: Xiaoxing Wang, Jesse S. Jin
Venue: Selected papers from the 2002 Pan-Sydney workshop on Visualisation - Volume 22 (2003)

In this paper we proposed a visual representation model for motion direction selectivity in the Superior Colliculus (SC) with a fuzzy neural networks system. The SC is a midbrain nucleus that contains a number of horizontally oriented cellular layers receiving and integrating information from the visual, auditory and somatosensory systems. The discharge of cells in the superficial layer of the SC is tightly linked to the direction of visual motion. The availability of a biologically plausible computational model of the SC may open the door for the modeling of cognitive interactions with visual sensory systems. We have simulated the model and the outputs are in line with those observed physiologically.
Special Characteristics of Software and Software Markets - Implications for Managing Software Business
Authors: Mikko Ronkko, Paivi Poyry
Venue: Proceedings of the 32nd EUROMICRO Conference on Software Engineering and Advanced Applications (2006)

This paper examines software markets, and especially how market effects affect how value is created and captured. We propose an initial model that incorporates both the special effects related to software markets, how these effects affect value of software and what factors should be considered to leverage the effects. The model is based on a literature review that resulted in identifying four specific market effects: network externalities, returns to complements, lock-in, and positive feedback. Furthermore, we identified four issues the firms should consider when pursuing the desired market effects: market definition, value configuration, contracts and legal actions, and customers. The literature-based model was evaluated and complemented by two case studies with Finnish software firms incorporating altogether 17 interviews. The model gained initial support on the basis of the interviews. This paper proposes that the identified market effects should be considered when the value of software engineering decisions is evaluated.
Distributed Software Engineering: a Rigorous Architectural Approach
Authors: Jeff Kramer
Venue: Proceedings of the Sixth International Conference on Quality Software (2006)

The engineering of distributed software is a complex task which requires a rigorous approach. Software architectural (structural) concepts and principles are highly beneficial in specifying, designing, analysing, constructing and evolving distributed software. A rigorous architectural approach dictates formalisms and techniques that are compositional, components that are context independent and systems that can be constructed and evolved incrementally. This extended abstract overviews some of the underlying reasons for adopting this architectural approach and provides a brief "rational history" [1] of our research work, together with some selected references.
Data Mining Exploration System for Feature Selection Tasks
Authors: Zbigniew Suraj, Pawel Delimata
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 01 (2006)

The area of data mining and knowledge discovery is inherently associated with databases. Data mining methods are used in the process of knowledge discovery to reveal new pieces of knowledge from large databases. One of the stages in that process is a feature selection. A feature selection is usually meant as a process of finding a subset of features from the original set of features forming patterns in a given data set, optimal according to the defined goal and criterion of feature selection.
Studying information seeking on the non-English Web: An experiment on a Spanish business Web portal
Authors: Wingyan Chung
Venue: International Journal of Human-Computer Studies (2006)

The Internet is estimated to grow significantly as access to Web content in some non-English languages continues to increase. However, prior research in human-computer interaction (HCI) has implicitly assumed the primary language used on the Web to be English. This assumption is not true for many non-English-speaking regions where rapidly growing on-line populations access the Web in their native languages. For example, Latin America, where the majority of people speak Spanish, will have the fastest growing population in coming decades. However, existing Spanish search engines lack search, browse, and analysis capabilities. The research reported here studied human information seeking on the non-English Web. In it we developed a Spanish business Web portal that supports searching, browsing, summarization, categorization, and visualization of Spanish business Web pages. Using 42 Spanish speakers as subjects we conducted a two-phase experiment to evaluate this portal and found that, compared with a Spanish search engine and a Spanish Web directory, it achieved significantly better user ratings on information quality, cross-regional search capability, system performance attributes, and overall satisfaction. Subjects' verbal comments strongly favored the search and browse functionality and user interface of our portal. As the Web becomes more international, this research makes three contributions: (1) an empirical evaluation of the performance level of a Spanish search portal; (2) an examination of the information quality, cross-regional search capability and usability of search engines for the non-English Web; and (3) a better understanding of non-English Web searching.
HiveFlex-Video VSP1: Video Signal Processing Architecture for Video Coding and Post-Processing
Authors: Carlos Alba Pinto, Aleksandar Beric, Satendra Pal Singh, Sachin Farfade
Venue: Proceedings of the Eighth IEEE International Symposium on Multimedia (2006)

As mobile displays proliferate across the world, and fixed video displays expand in size, consumers demand enhanced visual experiences while watching such displays. Competitive low-end to high-end markets are migrating to high-definition (HD) output displays driven by consumer demand. In order to generate high quality visual experiences on HD displays, video processing algorithms are becoming increasingly complex. Such complex HD algorithms require up to Tera-operations per second to generate acceptable HD video output. Silicon Hive's HiveFlex Video VSP1 processor services the needs all low to high end video displays by using a unique scaleable tiled architecture. The architecture of each tile is flexible, low-cost and low-power, resulting in an attractive IP solution targeting consumer Video Signal Processing (VSP) Systems on Chips (SoCs). The Video VSP1 tile presented here performs a variety of video coding algorithms commonly used in post processing of HD TV signals such as H264 decoding, de-interlacing, picture-rate up-conversion and others. H.264 or MPEG4-AVC is an advanced video coding standard targeting multiple markets such as broadcast and hand-held entertainment. In partnership with Silicon Hive, AllGo Embedded Systems has developed an H.264 decoder that is optimized for the HiveFlex VSP architecture. Multiple VSP tiles with configurable number of issue slots and SIMD architecture are used efficiently to implement H.264 video decoding at HD resolution.
The role of pleasure in web site success
Authors: Kristof De Wulf, Niels Schillewaert, Steve Muylle, Deva Rangarajan
Venue: Information and Management (2006)

We developed and empirically validated a process model of web site success in an online shopping context by identifying the role of pleasure as a key mediating variable. Web site evaluations (of content, organization, and technology) were posited as affecting the success (involving satisfaction, commitment, and trust) of a multi-dimensional web site. Pleasure was introduced as a key variable, mediating the relationship between web site evaluation and web site success. We found that pleasure partially mediated the evaluations-success relationship and also found significant support for direct relationships between web site evaluations and success. Additionally, satisfaction was found to be instrumental in helping predict user commitment and trust that online shoppers placed on the site owner.
New split algorithms for linear least squares prediction filters with linear phase
Authors: Wen-Hsien Fang, Yang-Lung Hwang
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02 (1995)

This paper is concerned with the development of new split algorithms for the design of linear least squares prediction filters with linear phase. The proposed fast algorithm, which fully expresses the inherent symmetry of the problem, requires lower computational complexity than other existing ones. Moreover, unlike other existing ones, the new recurrences involve only the order updates, which lend themselves to more efficient hardware implementations. For parallelization consideration, a new split Schur-like algorithm is also proposed to overcome the nonparallelizable inner product. Some numerical simulation results are provided to verify the proposed fast algorithms and highlight possible applications.
Model of the hierarchy of needs
Authors: A. A. Ivashchenko, D. A. Novikov
Venue: Automation and Remote Control (2006)

A formal model was proposed for the hierarchy of needs where the degree of satisfaction of each individual need depends on the resource and the degree of satisfaction of the lower-level needs. For the static model, direct and inverse problems of resource allocation were solved, and the set of critical resources was determined. For the dynamic model, the conditions for attainability of the given level of need satisfaction were established, and the problem of resource allocation to the individual needs was reduced to the problem of optimal management. The problem of allocation of the organization's resources to motivation of employees was formulated.
Predicting Susceptibility to Chronic Hepatitis using Single Nucleotide Polymorphism Data and Support Vector Machine
Authors: Dong-Hoi Kim, Saangyong Uhmn, Jin Kim, Sung Won Cho, Ki-Baik Hahm
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02 (2006)

SVM(Support VectorMachine) is used to predict the susceptibility to Chronic Hepatitis from SNP(single nucleotide polymorphism) data. SVM is trained to predict the susceptibility using SNPs. SVM is able to distinguish Hepatitis between normal and Chronic Hepatitis with an accuracy of 75.61% which are much better than random guessing. With more SNPs and other features, SVM prediction using SNP data can be a potential tool for predicting susceptibility to Chronic Hepatitis.
Network monitors and contracting systems: competition and innovation
Authors: Paul Laskowski, John Chuang
Venue: Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications (2006)

Today's Internet industry suffers from several well-known pathologies, but none is as destructive in the long term as its resistance to evolution. Rather than introducing new services, ISPs are presently moving towards greater commoditization. It is apparent that the network's primitive system of contracts does not align incentives properly. In this study, we identify the network's lack of accountability as a fundamental obstacle to correcting this problem: Employing an economic model, we argue that optimal routes and innovation are impossible unless new monitoring capability is introduced and incorporated with the contracting system. Furthermore, we derive the minimum requirements a monitoring system must meet to support first-best routing and innovation characteristics. Our work does not constitute a new protocol; rather, we provide practical and specific guidance for the design of monitoring systems, as well as a theoretical framework to explore the factors that influence innovation.
A Tree-Based Data Perturbation Approach for Privacy-Preserving Data Mining
Authors: Xiao-Bai Li Sumit Sarkar
Venue: IEEE Transactions on Knowledge and Data Engineering (2006)

Due to growing concerns about the privacy of personal information, organizations that use their customers' records in data mining activities are forced to take actions to protect the privacy of the individuals. A frequently used disclosure protection method is data perturbation. When used for data mining, it is desirable that perturbation preserves statistical relationships between attributes, while providing adequate protection for individual confidential data. To achieve this goal, we propose a kd-tree based perturbation method, which recursively partitions a data set into smaller subsets such that data records within each subset are more homogeneous after each partition. The confidential data in each final subset are then perturbed using the subset average. An experimental study is conducted to show the effectiveness of the proposed method.
Sphere-based Computation of Delaunay Diagrams on Points from 4d Grids
Authors: Yuanxin Liu, Jack Snoeyink
Venue: Proceedings of the 3rd International Symposium on Voronoi Diagrams in Science and Engineering (2006)

The Delaunay diagram in d dimensions is the dual of the Voronoi diagram of a set of input sites. If we assume no degeneracies in the input, i.e. no d + 2 sites are co-spherical, then the diagram is a triangulation. Because this assumption is common, and can be enforced by symbolic perturbation, we often forget that Delaunay diagrams need not be triangulations. Input sets chosen from integer grids are common in scienti£ c visualization applications, however, and these often have many degeneracies. Perturbation signi£cantly increases the size of the Delaunay and dual Voronoi diagrams-a single 4D cube becomes 16 to 24 simplices, so one dual vertex becomes many. Our result is a sphere-based algorithm for direct, incremental computation of the Delaunay diagram in 4D. For input with many degeneracies, its speed is comparable to our fastest Delaunay triangulation program, yet it computes the exact Delaunay diagram.
Numerical approximation to ζ(2n + 1)
Authors: Michael J. Dancs, Tian-Xiao He
Venue: Journal of Computational and Applied Mathematics (2006)

In this short paper, we establish a family of rapidly converging series expansions for ζ(2n + 1) by discretizing an integral representation given by Cvijović and Klinowski [3] in Integral representations of the Riemann zeta function for odd-integer arguments, J. Comput. Appl. Math. 142 (2002) 435-439. The proofs are elementary, using basic properties of the Bernoulli polynomials.
Distributed Real-Time Detection and Tracking of Homogeneous Regions in Sensor Networks
Authors: Sharmila Subramaniam, Vana Kalogeraki, Themis Palpanas
Venue: Proceedings of the 27th IEEE International Real-Time Systems Symposium (2006)

In many applications we can deploy large number of sensors spanning wide geographical areas, to monitor environmental phenomena. The analysis of the data collected by such sensor network can help us to understand the field dynamics, and optimize the deployment of other solutions. We define a group of sensors having similar underlying distribution over a period of time as a homogeneous region. In this paper we propose distributed algorithms to detect such regions, approximate their boundary with a piece-wise linear curve and track the boundary in real-time. Experimental results show the accuracy and efficiency of our detection and tracking algorithms.
Dynamic-segmentation-based feature dimension reduction for quick audio/video searching
Authors: A. Kimura, K. Kashino, T. Kurozumi, H. Murase
Venue: Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1 (2003)

We propose a new feature dimension reduction method for multimedia search. The main technique in the method is dynamic segmentation that partitions sequential feature trajectories dynamically. While dynamic segmentation reduces the average dimensionality and accelerates the search, it requires huge amount of calculation. Thus, our method quickly executes suboptimal partitioning of the trajectories by using the discreteness of dimension changes. This guarantees the optimal amount of calculation to derive the suboptimal partitioning under the condition that the dimension monotonously increases as the segment length increases. The experiment shows that our method is over 10 times faster than a straightforward dynamic segmentation method.
Wicked Cool Java: Code Bits, Open-Source Libraries, and Project Ideas
Authors: Brian D Eubanks
Venue:  (2005)

Wicked Cool Java contains 101 fun, interesting, and useful ways to get more out of Java. This isn't intended as a Java tutorial--it's targeted at developers and system architects who have some basic Java knowledge but may not be familiar with the wide range of libraries available. Full of example code and ideas for combining them in useful projects, this book is perfect for hobbyists, and professionals will find tips and open-source projects to enhance their code and make their jobs easier. Topics include converting a non-XML text structure into XML using a parser generator, experimenting with a Java simulator for the Cell Matrix, creating dynamic music and sound in Java, working with open-source class libraries for scientific and mathematical applications, and many more.
An Artificial Intelligence Approach to Course Timetabling
Authors: Lien-Fu Lai, Nien-Lin Hsueh, Liang-Tsung Huang, Tien-Chun Chen
Venue: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006)

Course Timetabling is a complex problem and cannot be dealt with using only a few general principles. Each actor (i.e. the administrator, the chairman, the instructor and the student) has his own objective, and these objectives are usually conflicting. The complicated relationships between time periods, classes, classrooms, and instructors make it difficult to attain a feasible solution. In this article, we propose an artificial intelligence approach that integrates expert systems and constraint programming to implement a course timetabling system. Expert systems are utilized to incorporate knowledge into the timetabling system and to provide the reasoning capability for knowledge deduction. The separation of the knowledge base, facts and the inference engine in expert systems provides greater flexibility to support changes. The constraint hierarchy is utilized to capture hard and soft constraints and to reason about constraints using constraint satisfaction and relaxation techniques. Moreover, object-oriented software engineering is applied to improve the development and maintenance of the course timetabling system. A course timetabling system in the Department of Computer Science and Information Engineering at National Changhua University of Education (NCUE) is used as an illustrate example for the proposed approach.
The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features
Authors: J. Wojtusiak, R. S. Michalski, K. A. Kaufman, J. Pietrzykowski
Venue: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006)

The AQ21 program aims to perform natural induction, a process of generating inductive hypotheses in humanoriented forms that are easy to interpret and understand. This is achieved by employing a highly expressive representation language, Attributional Calculus, whose statements resemble natural language descriptions. This paper focuses on the Pattern Discovery mode of AQ21, which produces attributional rules that capture strong regularities in the data, but may not be fully consistent or complete with regard to the training data. AQ21 integrates several novel features, such as optimizing patterns according to multiple criteria, learning attributional rules with exceptions, generating optimized sets of alternative hypotheses, and handling data with unknown, irrelevant and/or non-applicable meta-values.
A Quality Measurement Method of Context Information in Ubiquitous Environments
Authors: Younghee Kim, Keumsuk Lee
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02 (2006)

This study purposes to propose a method of measuring quality of context information in ubiquitous environments. Because Context information is important in ubiquitous environments, quality dimensions and measurement methods should be considered according to characteristics of context information. To measure quality, first, we comprehend the nature of context information in ubiquitous environments, then extracted user's concern about quality from the nature. Second, on the user's concern, we proposed quality dimensions as: accuracy, completeness, representation consistency, access security and up-to-dateness. Third, we addressed a method of quality measurement, to illustrate this approach, we presented a first measure using accuracy and completeness as quality dimensions. We enabled objective evaluation of quality level through proposal of a method suitable to quality measurement of context information.
The Mechanics of Filing a Patent
Authors: Philip G. Emma
Venue: IEEE Micro (2006)

Philip G. Emma looks at how to file and prosecute a patent.
Modeling real-world control systems: beyond hybrid systems
Authors: Stephen Neuendorffer
Venue: Proceedings of the 36th conference on Winter simulation (2004)

Hybrid system modeling refers to the construction of system models combining both continuous and discrete dynamics. These models can greatly reduce the complexity of a physical system model by abstracting some of the continuous dynamics of the system into discrete dynamics. Hybrid system models are also useful for describing the interaction between physical processes and computational processes, such as in a digital feedback control system. Unfortunately, hybrid system models poorly capture common software architecture design patterns, such as threads, mobile code, safety, and hardware interfaces. Dealing effectively with these practical software issues is crucial when designing real-world systems. This paper presents a model of a complex control system that combines continuous-state physical system models with rich discrete-state software models in a disciplined fashion. We show how expressive modeling using multiple semantics can be used to address the design difficulties in such a system.
A Fault Attack on Pairing-Based Cryptography
Authors: Daniel Page, Frederik Vercauteren
Venue: IEEE Transactions on Computers (2006)

Current fault attacks against public key cryptography focus on traditional schemes, such as RSA and ECC, and, to a lesser extent, on primitives such as XTR. However, bilinear maps, or pairings, have presented theorists with a new and increasingly popular way of constructing cryptographic protocols. Most notably, this has resulted in efficient methods for Identity Based Encryption (IBE). Since identity-based cryptography seems an ideal partner for identity aware devices such as smart-cards, in this paper, we examine the security of concrete pairing instantiations in terms of fault attack.
Fast Dynamic Re-planning of Composite OWL-S Services
Authors: Matthias Klusch, Kai-Uwe Renner
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

In this paper, we present an extension of our OWL-S service composition planner OWLS-XPlan that allows for quasi-online re-planning of composite OWL-S services without full restart of the actual planning process, and preliminary experimental evaluation results.