ppxscal/embedding_network huggingface dataset:
Sparse Coding in Sparse Winner Networks
Authors: Janusz A. Starzyk, Yinyin Liu, David Vogel
Venue: Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks (2007)

This paper investigates a mechanism for reliable generation of sparse code in a sparsely connected, hierarchical, learning memory. Activity reduction is accomplished with local competitions that suppress activities of unselected neurons so that costly global competition is avoided. The learning ability and the memory characteristics of the proposed winner-take-all network and an oligarchy-take-all network are demonstrated using experimental results. The proposed models have the features of a learning memory essential to the development of machine intelligence.
GPU in Haptic Rendering of Deformable Objects
Authors: Hans Fuhan Shi, Shahram Payandeh
Venue: Proceedings of the 6th international conference on Haptics: Perception, Devices and Scenarios (2008)

We present some results regarding utilizing Graphics Processing Unit (GPU) for computing the deformation of two experimental objects. A suture simulation model with GPU and a 2D deformable cloth model with nVidia CUDA techniques are also proposed. We conducted experimental studies to compare the GPU-based suture models and with the CPU implementation. We also experimented with the implicit model of the 2D mesh which offer similar computational challenges associated with any Finite-Element modeling approaches. A method for computing the inverse of a matrix with truncated Neumann series is also introduced.
Scalable Program Comprehension for Analyzing Complex Defects
Authors: Suraj C. Kothari
Venue: Proceedings of the 2008 The 16th IEEE International Conference on Program Comprehension (2008)

We describe the Query-Model-Refine (QMR) approach for retrieving and modeling information for program comprehension. The QMR approach allows the flexibility to design and execute application-specific problem-solving strategies to suit particular program comprehension goals. The QMR approach has been used for building a number of program comprehension tools for different applications: interactive automatic parallelization, business rule analysis, auditing safety-critical control software, and defect analysis. This presentation will be about a program comprehension tool called Atlas and we will show its use for analyzing complex defects.
Organize your photos with adobe® photoshop® elements® 3, Second edition
Authors: Michael Slater
Venue:  (2004)

It's not taking pictures that scares you; it's what to do with them afterwards that you find daunting when you consider making the move from traditional photography to digital photography. With Photoshop Elements and this friendly guide, it doesn't have to be. Eschewing a raft of technical details and advanced editing techniques for need-to-know basics, this volume provides everything you require to begin managing your photo life with the Windows version of Photoshop Elements 3 (which has Photoshop Album built in). After providing a quick introduction to the world of digital photography, veteran author Michael Slater--who's also one of Album's creators--shows you how to get and store photos, organize and find them, perform simple image correction tasks, create fun projects (video CDs, print and electronic cards, and calendars), print digital photos (at home, online, or at retail processors), and share your favorite shots. Throughout, the focus is on keeping it simple and fun while taking advantage of all of Photoshop Elements' cool features. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
A Prediction-Based Visual Approach for Cluster Exploration and Cluster Validation by HOV3
Authors: Ke-Bing Zhang, Mehmet A. Orgun, Kang Zhang
Venue: Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases (2007)

Predictive knowledge discovery is an important knowledge acquisition method. It is also used in the clustering process of data mining. Visualization is very helpful for high dimensional data analysis, but not precise and this limits its usability in quantitative cluster analysis. In this paper, we adopt a visual technique called HOV3 to explore and verify clustering results with quantified measurements. With the quantified contrast between grouped data distributions produced by HOV3, users can detect clusters and verify their validity efficiently.
Reactive silencer modeling by transfer matrix method and experimental study
Authors: Ovidiu Vasile, Kolumban Vladimir
Venue: Proceedings of the 9th WSEAS International Conference on Acoustics & Music: Theory & Applications (2008)

This paper investigates the acoustic performance of a reactive silencer for two special cases using numerical and experimental techniques. The plane wave based models such as the transfer matrix method (TMM) can offer fast initial prototype solutions for silencer designers. In this paper, the principles of TMM for predicting the transmission loss (TL) of a silencer are briefly presented. The method is applied for each silencer configuration and the numerical predictions are compared with the results obtained by means of an experimental set up. Only stationary, non-dissipative silencers are considered. The acoustic performances of the experimental set up are analyzed as compared with the theoretical results of the plane wave method approach. Comparison takes into account the low frequency range where the firing engine frequency and its first order harmonics are the main sources of noise.
Conceptual Subtopic Identification in the Medical Domain
Authors: Rafael Berlanga-Llavori, Henry Anaya-Sánchez, Aurora Pons-Porrata, Ernesto Jiménez-Ruiz
Venue: Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence (2008)

In this paper we present a novel approach for identifying and describing the possible subtopics that can be derived from the result set of a topic-based query. Subtopic descriptions rely on the conceptual indexing of the retrieved documents, which consists of mapping the document terms into concepts of an existing thesaurus (i.e. UMLS meta-thesaurus). Subtopic identification is performed by selecting highly probable concept bigrams whose support sets are homogeneous enough. The evaluation of the method has been carried out on a real biomedical example, which demonstrates both the effectiveness and usefulness of the proposed method.
Comparison of Denoising Techniques Applied on Low-Field MR Brain Images
Authors: N. F. Ishak, M. J. Gangeh, R. Logeswaran
Venue: Proceedings of the 2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation (2008)

Low-field Magnetic Resonance Imaging (MRI) is vital for sensitive surgery to allow real-time imaging in the operation theatre. In this paper, we demonstrate implementations of denoising algorithms on low-field MR brain images. A major concern in denoising low-field MR brain images is the poor quality images secondary to a worsening signal-to-noise ratio (SNR) compared with the high-field MRI scanners. This paper gives some useful insight on the application of pre-processing techniques towards segmenting and labeling the brain images. Promising results are reported for anisotropic diffusion filtering.
The concept and theory of material flow
Authors: Shoubo Xu
Venue: Information Systems Frontiers (2008)

This paper, for the first time, presents seven main theories under the Material Flow (MF) Theory, namely "Material flow theory", "Comprehensive MF theory", "MF element theory", "MF nature theory", "MF science and technology theory", "MF engineering theory" and "MF industry theory". The paper points out that the MF is the collective term for the flow of macroscopic goods and that of microcosmic substances. The material flow is not only an economic phenomenon, but also social and natural ones. There is not only economic MF, but also social and natural ones. The economic MF is the core for the MF, and the social and natural MF is the basis for the MF; no matter whether in nature, society or economic circles, the MF comprises of five basic elements: Material, Flow, Owner, Region and Time, among which Material is the core one; the MF is divided into intrinsic and extrinsic ones by nature. Its intrinsic natures include Material, Flow, Owner, Region and Time; its extrinsic natures include Party, Service, Management, Technology and Economy. The MF science and technology is a scientific and technological field with very strong comprehensibility, dealing with subjects including natural science, engineering technology and science, and human and social studies; the MF engineering is a syntheses comprising of six MF elements or six MF forces. The MF's hard science and technology and its soft science and technology can be applied to national economy in the most efficient way, with the fundamental purpose to benefit the mankind; the MF is not only an industry, but also a backbone industry, and even a backbone industry group. The paper provides some insights into future enterprise integration in a global supply chain environment.
Interactive Exploration of Medical Data Sets
Authors: Heimo Müller, Kurt Zatloukal, Marc Streit, Dieter Schmalstieg
Venue: Proceedings of the 2008 Fifth International Conference BioMedical Visualization: Information Visualization in Medical and Biomedical Informatics (2008)

This paper describes an interactive data exploration system for molecular and clinical data in the field of personalized medicine. It addresses the essential but to date unsolved problem of how to identify connections between genetic variants and their corresponding diseases or the response to certain drugs and treatments, respectively. It is therefore necessary to connect genetic with clinical data in order to categorize specific subgroups of patients with certain disease features. The huge amount of data provided by molecular analytical methods (e.g. data on genetic alterations, proteomic or metabolomic data) can only be analyzed by applying statistical methods and bioinformatics. However, even standard methods of statistics and bioinformatics fail when the data is inhomogeneous – as is the case with clinical data – and when data structures are obscured by noise and dominant patterns. The structure of large medical data sets is made visible by using so called object- and attribute-glyphs, which can be arranged in a two dimensional space and synchronized with a set of visualization views.
Optical Processing Paradigms for Electronic Computers
Authors: Pericles A. Mitkas, George A. Betzos, Leo J. Irakliotis
Venue: Computer (1998)

Used as special-purpose architectures, optical or optoelectronic processing systems can enhance the performance of electronic computers.
Particle Swarms for Multimodal Optimization
Authors: Ender Özcan, Murat Yılmaz
Venue: Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I (2007)

In this paper, five previous Particle Swarm Optimization (PSO) algorithms for multimodal function optimization are reviewed. A new and a successful PSO based algorithm, named as CPSO is proposed. CPSO enhances the exploration and exploitation capabilities of PSO by performing search using a random walk and a hill climbing components. Furthermore, one of the previous PSO approaches is improved incredibly by means of a minor adjustment. All algorithms are compared over a set of well-known benchmark functions.
Finding a dense-core in Jellyfish graphs
Authors: Mira Gonen, Dana Ron, Udi Weinsberg, Avishai Wool
Venue: Computer Networks: The International Journal of Computer and Telecommunications Networking (2008)

The connectivity of the Internet crucially depends on the relationships between thousands of Autonomous Systems (ASes) that exchange routing information using the Border Gateway Protocol (BGP). These relationships can be modeled as a graph, called the AS-graph, in which the vertices model the ASes, and the edges model the peering arrangements between the ASes. Based on topological studies, it is widely believed that the Internet graph contains a central dense-core: Informally, this is a small set of high-degree, tightly interconnected ASes that participate in a large fraction of end-to-end routes. Finding this dense-core is a very important practical task when analyzing the Internet's topology. In this work we introduce a randomized sublinear algorithm that finds a dense-core of the AS-graph. We mathematically prove the correctness of our algorithm, bound the density of the core it returns, and analyze its running time. We also implemented our algorithm and tested it on real AS-graph data and on real undirected version of WWW network data. Our results show that the core discovered by our algorithm is nearly identical to the cores found by existing algorithms - at a fraction of the running time.
Applying UML 2.0 to design a botanical document warehouse
Authors: Rong-Jyue Fang, Howard Lo, Chien-chung Lin, Yu-Chen Weng
Venue: Proceedings of the 8th WSEAS International Conference on Multimedia systems and signal processing (2008)

The Unified Modeling Language (UML) is the de facto standard for modeling object-oriented software and system analysis. The four plus one View Model describes the information system framework using five concurrent views, each of which depicts a specific view of the system. UML consists of various graphical notations, which capture the software designer's architecture decision. The nine diagrams can assist system designer and analyzer to sketch the blueprint of information system easily. Data warehouse is the latest must-have marketing weapon in Business domain. It provides architectures and tools for users to systematically organize, understand, and use their data to make strategic decision. It is also useful for information retrieval in pedagogical settings. In this study, we constructed the framework of the prototype of multi-dimensions botanical documents inquiry system (MDBDIS) with the notation and methodology of UML. The empirical results of this study has showed the high recall and precision rates, the recall rate of LeaveMargin = "Serrate" and florescence = "pink" is 0.83, and the precision rate of LeaveMargin = "palmatelylobed" and Phyllotaxy = "opposite" is 075. In this paper, the finding which has provided evidence of an empirically applied UML methodology to sketch the blueprint of data warehouse is a useful new avenue for system designer and analyzer.
A Strategy for Achieving Learning Content Repurposing
Authors: Diva S.S. Rodrigues, Sean W. Siqueira, Maria Helena Braz, Rubens N. Melo
Venue: Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society (2008)

The development of instructional content using new Information Technologies is an expensive, time-consuming and complex process that points to the establishment of new methodologies. It was in this context that the concept of Learning Objects (LOs) was proposed as an approach that promotes content reuse. However, if content is conveyed in small LOs, they must be combined and sequenced in order to build more elaborated and complex content. This paper presents a strategy to deal with this problem based on the definition of smaller LOs, which represent not only content but also practice, here called Component Objects (COs). These COs are structured and combined according to a conceptual metamodel, which is the basis for the definition of conceptual schemas representing the existing material. Considering these ideas the paper presents a strategy for searching, extracting and sequencing COs, which supports a teacher/professor to better control the implementation of a complex content such as a course, reducing errors and eventual omissions in the authoring process. Finally, a case study that shows the proposed approach and some results of using the algorithm are presented.
Intelligent System Architecture for Context-Awareness in Ubiquitous Computing
Authors: Jae-Woo Chang, Seung-Tae Hong
Venue: Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing (2008)

In this paper, we design an intelligent system architecture for dealing with context-aware application services in ubiquitous computing. The intelligent system architecture is composed of middleware, context server, and client. The middleware component of our intelligent system architecture plays an important role in recognizing a moving node with mobility by using a Bluetooth wireless communication technology as well as in executing an appropriate execution module according to the context acquired from a context server. The context server functions as a manager that efficiently stores into the database server context information, such as user's current status, physical environment, and resources of a computing system. To verify the usefulness of our intelligent system architecture, we finally develop a context-aware application system base on it, which provides users with a music playing service in ubiquitous computing environment.
Modeling and Implementation of an Output-Queuing Router for Networks-on-Chips
Authors: Haytham Elmiligi, M. Watheq El-Kharashi, Fayez Gebali
Venue: Proceedings of the 3rd international conference on Embedded Software and Systems (2007)

Routers are pivotal modules in any networks-on-chip (NoC)-based design. In order to achieve an efficient router design, the size of the queue must be optimally chosen. The choice of queue size affects packet loss probability and impacts the silicon area of the overall NoC-based design. For these reasons, a modeling process is needed to obtain an early estimation of the optimum queue size that matches packet arrival rate, number of traffic sources, and the permissable loss probability. In this paper, we use Markov chain analysis to model an M/D/1/B queue for an NoC output-queuing router. We explain how to optimally chose the queue size using pre-defined design parameters that match different target applications. Our model is validated with a prototype router implementation on FPGA.
Quasi-Static Scheduling of Communicating Tasks
Authors: Philippe Darondeau, Blaise Genest, P. S. Thiagarajan, Shaofa Yang
Venue: Proceedings of the 19th international conference on Concurrency Theory (2008)

Good scheduling policies for distributed embedded applications are required for meeting hard real time constraints and for optimizing the use of computational resources. We study the quasi-static scheduling problem in which (uncontrollable) control flow branchings can influence scheduling decisions at run time. Our abstracted task model consists of a network of sequential processes that communicate via point-to-point buffers. In each round, the task gets activated by a request from the environment. When the task has finished computing the required responses, it reaches a pre-determined configuration and is ready to receive a new request from the environment. For such systems, we prove that determining existence of quasi-static scheduling policies is undecidable. However, we show that the problem is decidable for the important sub-class of "data branching" systems in which control flow branchings are due exclusively to data-dependent internal choices made by the sequential components. This decidability result--which is non-trivial to establish--exploits ideas derived from the Karp and Miller coverability tree [8] as well as the existential boundedness notion of languages of message sequence charts [6].
Dynamic Element Retrieval in the Wikipedia Collection
Authors: Carolyn J. Crouch, Donald B. Crouch, Nachiket Kamat, Vikram Malik, Aditya Mone
Venue: Focused Access to XML Documents: 6th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2007 Dagstuhl Castle, Germany, December 17-19, 2007. Selected Papers (2008)

This paper describes the successful adaptation of our methodology for the dynamic retrieval of XML elements to a semi-structured environment. Working with text that contains both tagged and untagged elements presents particular challenges in this context. Our system is based on the Vector Space Model; basic functions are performed using the Smart experimental retrieval system. Dynamic element retrieval requires only a single indexing of the document collection at the level of the basic indexing node (i.e., the paragraph). It returns a rank-ordered list of elements identical to that produced by the same query against an all-element index of the collection. Experimental results are reported for both the 2006 and 2007 Ad-hoc tasks.
Complete Determinacy and Subsystems of Second Order Arithmetic
Authors: Takako Nemoto
Venue: Proceedings of the 4th conference on Computability in Europe: Logic and Theory of Algorithms (2008)

This paper investigates the determinacy and the complete determinacy of infinite games, following reverse mathematics program whose purpose is to find the set comprehension axioms that are necessary and sufficient for these statements in the frame of second order arithmetic. In some sense, this research clarifies how complex oracles we need to obtain the algorithms which give a winning strategies and which determine the winning positions for the players. It will be shown that, depending on the complexity of the rules of games, the complexity of the oracles changes drastically and that determinacy and complete determinacy statements are not always equivalent.
Software Tools for High-Performance Computiing: Survey and Recommendations
Authors: Bill Appelbe, Donna Bergmark
Venue: Scientific Programming (1996)

Applications programming for high-performance computing is notoriously difficult. Al-though parallel programming is intrinsically complex, the principal reason why high-performance computing is difficult is the lack of effective software tools. We believe that the lack of tools in turn is largely due to market forces rather than our inability to design and build such tools. Unfortunately, the poor availability and utilization of parallel tools hurt the entire supercomputing industry and the U.S. high performance computing initiative which is focused on applications. A disproportionate amount of resources is being spent on faster hardware and architectures, while tools are being neglected. This article introduces a taxonomy of tools, analyzes the major factors that contribute to this situation, and suggests ways that the imbalance could be redressed and the likely evolution of tools.
Reliability, Safety, and Security in Everyday Embedded Systems (Extended Abstract)
Authors: Philip Koopman
Venue: Proceedings of the 3rd Latin-American symposium on Dependable Computing (2007)

Embedded systems permeate our everyday lives. From automobiles to elevators, kitchen appliances to televisions, and water heaters to cell phones, we increasingly depend upon embedded systems to operate as expected. A few obviously critical embedded application domains, such as aviation, have traditionally benefited from extraordinary care during development to ensure that everything is done correctly. But increasingly, everyday embedded applications are becoming "mission critical," with little fanfare and perhaps without the full attention to dependability properties that they truly deserve.