ppxscal/embedding_network huggingface dataset:
A thermal comfort levels investigation of a naturally ventilated and air-conditioned office
Authors: R. Daghigh, N. M. Adam, K. Sopian, A. Zaharim, B. B. Sahari
Venue: Proceedings of the 8th conference on Simulation, modelling and optimization (2008)

The purpose of this study is to investigate thermal comfort levels of a naturally ventilated and air-conditioner office. Field experiments conducted in an office room in Universiti Putra Malaysia (UPM) used survey questionnaires and physical measurements. When air conditioner was working, it was found that the office was slightly cool based on ISO 7730, but result of survey revealed that staff found condition to be cool. In naturally ventilated condition objective result showed that this office is uncomfortable but subjective study revealed that staffs found condition to be comfortable. Results of over 40 survey responses to thermal comfort questions in study room at UPM are presented. Responses from those staff suggest a wider acceptable temperature range for occupants.
The dissemination of knowledge management
Authors: Hiroko N. Wilensky, David F. Redmiles, Norman Makoto Su
Venue: Proceedings of the ACM 2009 international conference on Supporting group work (2009)

Our study on a community of knowledge management (KM) practitioners in the aerospace industry reveals challenges in the dissemination of KM concepts and tools. In this paper, we identify four reasons: (1) disparity of the community's stated purpose and the actual motives of its members; (2) multidisciplinary nature of KM; (3) unique characteristics of the aerospace industry and its engineering culture and (4) adoption of preferred or recommended solutions provided by chosen reference groups rather than a grounded approach. In particular, we address the issues in promoting recommended ideas and tools by chosen reference groups in work organizations without fully understanding work practices.
The auditor/EDP manager relationship
Authors: Noel Zakin, Richard J. Guiltinan, Everett C. Johnson, Richard D. Webb
Venue: Proceedings of the May 6-10, 1974, national computer conference and exposition (1974)

The auditor and EDP operating personnel have many areas of mutual interest. More effective communication will enable both auditors and data processing professionals to better discharge their respective responsibilities. The auditor's responsibilities, his role in an EDP environment, the need for mutual cooperation and planning, the impact of advanced systems and the use of audit software will be among the topics discussed. The AICPA's responsibilities and activities in the EDP area will also be considered.
Boundary control of hyperbolic conservation laws using a frequency domain approach
Authors: Xavier Litrico, Vincent Fromion
Venue: Automatica (Journal of IFAC) (2009)

The paper uses a frequency domain method for the boundary control of hyperbolic conservation laws. We show that the transfer function of the hyperbolic system belongs to the Callier-Desoer algebra, which opens the way of sound results, and in particular to the existence of a necessary and sufficient condition for the closed loop stability and the use of Nyquist type test. We examine the link between input-output stability and exponential stability of the state. Specific results are then derived for the case of proportional diagonal boundary controllers. The results are illustrated in the case of diagonal boundary control of open channel flow.
The Optimal Architecture Design of Two-Dimension Matrix Multiplication Jumping Systolic Array
Authors: Yun Yang, Shinji Kimura
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

This paper proposes an efficient systolic array construction method for optimal planar systolic design of the matrix multiplication. By connection network adjustment among systolic array processing element (PE), the input/output data are jumping in the systolic array for multiplication operation requirements. Various 2-D systolic array topologies, such as square topology and hexagonal topology, have been studied to construct appropriate systolic array configuration and realize high performance matrix multiplication. Based on traditional Kung-Leiserson systolic architecture, the proposed “Jumping Systolic Array (JSA)” algorithm can increase the matrix multiplication speed with less processing elements and few data registers attachment. New systolic arrays, such as square jumping array, redundant dummy latency jumping hexagonal array, and compact parallel flow jumping hexagonal array, are also proposed to improve the concurrent system operation efficiency. Experimental results prove that the JSA algorithm can realize fully concurrent operation and dominate other systolic architectures in the specific systolic array system characteristics, such as band width, matrix complexity, or expansion capability.
ANEMA: Autonomic network management architecture to support self-configuration and self-optimization in IP networks
Authors: Hajer Derbel, Nazim Agoulmine, Mikaël Salaün
Venue: Computer Networks: The International Journal of Computer and Telecommunications Networking (2009)

The increasing scale, technology advances and services of modern networks have dramatically complicated their management such that in the near future it will be almost impossible for human administrators to monitor them. To control this complexity, IBM has introduced a promising approach aiming to create self-managed systems. This approach, called Autonomic Computing, aims to design computing equipment able to self-adapt its configuration and to self-optimize its performance depending on its situation in order to fulfill high-level objectives defined by the human operator. In this paper, we present our autonomic network management architecture (ANEMA) that implements several policy forms to achieve autonomic behaviors in the network equipments. In ANEMA, the high-level objectives of the human administrators and the users are captured and expressed in terms of 'Utility Function' policies. The 'Goal' policies describe the high-level management directives needed to guide the network to achieve the previous utility functions. Finally, the 'behavioral' policies describe the behaviors that should be followed by network equipments to react to changes in their context and to achieve the given 'Goal' policies. In order to highlight the benefits of ANEMA architecture and the continuum of policies to introduce autonomic management in a multiservice IP network, a testbed has been implemented and several scenarios have been executed.
MPP: a supersystem for satellite image processing
Authors: Kenneth E. Batcher
Venue: Proceedings of the June 7-10, 1982, national computer conference (1982)

In 1971 NASA Goddard Space Flight Center initiated a program to develop high-speed image processing systems. These systems use thousands of processing elements (PE's) operating simultaneously to achieve their speed (massive parallelism). A typical satellite image contains millions of picture elements (pixels) that can generally be processed in parallel. In 1979 a contract was awarded to construct a massively parallel processor (MPP) to be delivered in 1982. The processor has 16,896 PE's arranged in a 128-row by 132-column rectangular array. The PE's are in the array unit (Figure 1). Other major blocks in the massively parallel processor are the array control unit, the staging memory, the program and data management unit, and the interface to a host computer.
Multimodal Medical Image Fusion Using Redundant Discrete Wavelet Transform
Authors: Richa Singh, Mayank Vatsa, Afzel Noore
Venue: Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition (2009)

Medical image fusion has revolutionized medical analysis by improving the precision and performance of computer assisted diagnosis. In this research, a fusion algorithm is proposed to combine pairs of multispectral magnetic resonance imaging such as T1, T2 and Proton Density brain images. The proposed algorithm utilizes different features of Redundant Discrete Wavelet Transform, mutual information based non-linear registration and entropy information to improve performance. Experiments on the BrainWeb database show that the proposed fusion algorithm preserves both edge and component information, and provides improved performance compared to existing Discrete Wavelet Transform based fusion algorithms.
A General Method for Transforming Standard Parsers into Error-Repair Parsers
Authors: Carlos Gómez-Rodríguez, Miguel A. Alonso, Manuel Vilares
Venue: Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing (2009)

A desirable property for any system dealing with unrestricted natural language text is robustness, the ability to analyze any input regardless of its grammaticality. In this paper we present a novel, general transformation technique to automatically obtain robust, error-repair parsers from standard non-robust parsers. The resulting error-repair parsing schema is guaranteed to be correct when our method is applied to a correct parsing schema verifying certain conditions that are weak enough to be fulfilled by a wide variety of parsers used in natural language processing.
Short-Term Electricity Price Forecast Based on Improved Fractal Theory
Authors: Herui Cui, Li Yang
Venue: Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 01 (2009)

This paper discusses the basic principle of the fractal theory and the basic thinking of how to use it to forecast the electricity price, then builds electricity price forecasting model based on improved fractal model and solve the model on this basis. Finally, this fractal model is used to forecast the short term electricity price.
The base-data-cluster concept: a cooperative metropolitan approach to computer utilization
Authors: Leonard Stitelman
Venue: Proceedings of the May 6-10, 1974, national computer conference and exposition (1974)

Metropolitan areas across the nation are devoting more attention to the general lack of current and detailed information so necessary for increasingly complex regional and local decision-making by public agencies. In the metropolitan Detroit, Michigan, region several groups have been involved in the attempt to develop a coordinated but voluntary approach to computer utilization which could serve as a model for other multi-jurisdiction metropolitan regions. It is known as the Base-Data-Cluster Information System.
Using Numerical Simplification to Control Bloat in Genetic Programming
Authors: David Kinzett, Mengjie Zhang, Mark Johnston
Venue: Proceedings of the 7th International Conference on Simulated Evolution and Learning (2008)

In tree based genetic programming there is a tendency for the size of the programs to increase from generation to generation, a process known as bloat. It is standard practice to place some form of control on program size either by limiting the number of nodes or the depth of the tree, or by adding a component to the fitness function that rewards smaller programs (parsimony pressure). Others have proposed directly simplifying individual programs using algebraic methods. In this paper, we add node-based numerical simplification as a tree pruning criterion to control program size. We show that simplification results in reductions in expected program size, memory use and computation time. We further show that numerical simplification performs at least as well as algebraic simplification alone, and in some cases will outperform algebraic simplification.
Alternative ways of coupling particle behaviour with fluid dynamics in mineral processing
Authors: Donghong Gao, John A. Herbst
Venue: International Journal of Computational Fluid Dynamics (2009)

Research in particulate multiphase hydrodynamics is especially important in mineral processing applications that involve complicated physical processes and complex geometry. Numerous numerical methods have been developed to address the coupling physics. However, there is no single solution for all applications, especially after considering computational costs and model accuracy. This article presents alternative numerical coupling approaches to capture the physics of interest. A one-way coupling of conventional grid-based CFD with discrete element method (DEM) is applied to simulations of slurry pumps. FLUENT is used to compute the fluid field in the pump, which is imported into our DEM code. The DEM is used to capture dynamics of the detailed behaviour of individual solid particles, including inter-particle collisions and particle impacts into structure (boundaries). A Lagrangian-Lagrangian multiphase model is proposed for simulation of dense particulate flows in a grinding mill. This work is motivated by developing totally meshfree approaches for particulate flows due to complex and rotating geometry in many pieces of equipment in the mining industry. The particle-based multiphase model is an integration of DEM with smooth particle dynamics (SPH). SPH is extended to the multiphase version where an extra variable, volume fraction, is introduced into the governing equation in order to account for interpenetrating multiphase fluid dynamics. The interaction between the solid particles and the fluid phase consists of three contributions: volume fraction, pressure and drag force. The time stepping scheme can be either explicit Euler for speed-up or lower order Runge-Kutta for more accuracy, and the time step is controlled by the Courant condition. The model is applied to a preliminary study of a semi-autogenous grinding mill.
A novel fuzzy linear regression model based on a non-equality possibility index and optimum uncertainty
Authors: H. Shakouri G., R. Nadimi
Venue: Applied Soft Computing (2009)

Various kinds of fuzzy regression models are introduced in the literature and many different methods are proposed to estimate fuzzy parameters of the models. In this study, a new approach is introduced to find the parameters of a linear fuzzy regression, with fuzzy outputs, the input data of which is measured by crisp numbers. Based on a non-equality possibility index, a new objective function is designed and solved, by which a minimum degree of acceptable uncertainty (the h-level or h-cut) is found. Four numerical examples are presented to compare the proposed approach with some other methods. Results show superiority of the new approach based on the criterion used by Kim and Bishu in the cases studied here. A realistic application of the proposed method is also presented, by which the total energy consumption of the Residential-Commercial sector in Iran is modeled using three variables of the GDP, number of the Households and an Energy Price index as inputs (exogenous variables) to the model.
Developing actionable trading agents
Authors: Longbing Cao, Tony He
Venue: Knowledge and Information Systems (2009)

Trading agents are useful for developing and back-testing quality trading strategies to support smart trading actions in the market. However, most of the existing trading agent research oversimplifies trading strategies, and focuses on simulated ones. As a result, there exists a big gap between the deliverables and business needs when the developed strategies are deployed into the real life. Therefore, the actionable capability of developed trading agents is often very limited. This paper for the first time introduces effective approaches for optimizing and integrating multiple classes of strategies through trading agent collaboration. An integration and optimization approach is proposed to identify optimal trading strategy in each category, and further integrate optimal strategies crossing classes. Positions associated with these optimal strategies are recommended for trading agents to take actions in the market. Extensive experiments on a large quantity of real-life market data show that trading agents following the recommended strategies have great potential to obtain high benefits while low costs. This verifies that it is promising to develop trading agents toward workable and satisfying business needs.
Prediction of Skin Penetration Using Machine Learning Methods
Authors: Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey
Venue: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining (2008)

Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug delivery. In this work, we apply K-nearest-neighbour regression, single layer networks, mixture of experts and Gaussian processes to predict the permeability coefficient. We obtain a considerable improvement over the quantitative structure-activity relationship (QSARs) predictors. We show that using five features, which are molecular weight, solubility parameter, lipophilicity, the number of hydrogen bonding acceptor and donor groups, can produce better predictions than the one using only lipophilicity and the molecular weight. The Gaussian process regression with five compound features gives the best performance in this work.
Reconfigurable Operator Based Multimedia Embedded Processor
Authors: Daniel Menard, Emmanuel Casseau, Shafqat Khan, Olivier Sentieys, Stéphane Chevobbe, Stéphane Guyetant, Raphael David
Venue: Proceedings of the 5th International Workshop on Reconfigurable Computing: Architectures, Tools and Applications (2009)

Image processing applications need embedded devices that can integrate evolutionary standards or various standards, that is to say devices have to be flexible to implement different algorithms at different times. In other respects these devices are constrained with stringent power requirements as well as high performance. Reconfigurable processor can address these points. However, previous reconfigurable architectures suffer from their interconnect cost and do not meet low power constraints. In this paper preliminary work about the design of a reconfigurable processor based on a coarse-grain granularity tailored for multimedia applications is presented. The architecture is flexible and scalable. Coarse-grain operators can be optimized in term of the function they implement, the data word-length and the parallelism speed-up. The processor is designed to limit interconnection overhead.
Symbolic computations in science and engineering
Authors: Marcin Kaminski
Venue: Proceedings of the 12th WSEAS international conference on Computers (2008)

A presentation of the modern issues related to the symbolic computing is contained here with the detailed discussion of its application to the education of various scientific and engineering academic disciplines. As it is shown on the example of the MAPLE system, symbolic computational environments play the very important role in supporting the lectures and the classes in all the computer labs. Those environments may be very useful in teaching basic natural sciences in all those cases, when some algebraic or differential equations appear, must be solved and their results should be precisely discussed. The application of the MAPLE and similar computer systems in the engineering education seems to be unquestionable now and some examples are contained here to show how the professors may improve their lectures and make them very interesting and exciting. The key feature offered by the symbolic computing is the opportunity to discover the knowledge, which the students may do by themselves, when they are specifically leaded by the instructors. The future expansion of the symbolic environment is drawn here together with the very related educational aspects all we have during the classes in the computer labs.
Fast Counting of Triangles in Large Real Networks without Counting: Algorithms and Laws
Authors: Charalampos E. Tsourakakis
Venue: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining (2008)

Triangles are important for real world social networks, lying at the heart of the clustering coefficient and of the transitivity ratio. However, straight-forward and even approximate counting algorithms can be slow, trying to execute or approximate the equivalent of a 3-way database join. In this paper, we provide two algorithms, the Eigen Triangle for counting the total number of triangles in a graph, and the Eigen Triangle Local algorithm that gives the count of triangles that contain a desired node. Additional contributions include the following:(a) We show that both algorithms achieve excellent accuracy, with up to ~1000x faster execution time, on several, real graphs and (b) we discover two new power laws (Degree-Triangle and Triangle Participation laws) with surprising properties.
Hybrid fiber grating-based optical comb filters
Authors: Xinyong Dong, Li-Yang Shao, Hwa-Yaw Tam, P. Shum
Venue: Proceedings of the 2008 International Conference on Advanced Infocomm Technology (2008)

In-fiber Mach-Zehnder interferometer filters, which were based on a pair of long-period fiber gratings (LPFGs), have been operated in the reflection mode by interacting with an optical fiber mirror reflector or a chirped-fiber Bragg grating (CFBG). As a result, the extinction ratio has been doubly enhanced. Furthermore, by tuning the chirp rate, i.e. reflection bandwidth of the CFBG, the channel number of the formed comb filter can be easily changed. A 3 to 9-channel comb filter with a channel spacing of 2.45 nm has been demonstrated experimentally.
ASP.NET 3.5 Application Architecture and Design
Authors: Vivek Thakur
Venue:  (2008)

Application architecture is an essential skill for ASP.NET developers. It is always tempting to jump in and start coding, but planning your architecture early in the project will leave you with a solid application that scales well, is easy to modify and extend, and saves you time and effort later on. As businesses struggle to control their costs, writing solid code that can be extended easily is becoming even more important. This book takes a pragmatic approach to Application Architecture in ASP.NET 3.5. It presents a series of common architectural models, and shows how to select the best ones for your project and apply them. The book begins by showing you how to use the main architectural models in your applications. You will see how to implement n-tier architectures, MVC, design patterns, and more. But this is no software engineering theory book - it is a practical, hands-on guide that shows you how to use these techniques in your software straight away. We then go on to build SOA (Service-Oriented Architecture) applications with the Windows Communication Framework (WCF). Finally the book contains some essential guidance on effective database design, and a chapter on localizing your applications. This book is a great way to learn ASP.NET Architecture in a practical, hands-on way. It will also serve as a quick reference for improving your application design. APPROACH This is a practical hands-on book with clear instructions and lot of code examples. It takes a simple approach, guiding you through different architectural topics using realistic sample projects. A single project is implemented using different architectural styles to make the reader understand the details of each style. There are also many small independent code samples to explain design patterns, WCF, and localization.
Volterra NN-based behavioral model for new wireless communications devices
Authors: Georgina Stegmayer, Omar Chiotti
Venue: Neural Computing and Applications (2009)

This paper presents a neural network-based behavioral model for accurately reproducing the nonlinear and dynamic behavior of new wireless communication devices. Moreover, an efficient procedure to extract a behavioral Volterra model from the parameters of the NN-based model is explained, thus providing a simple way to construct very compact and accurate models, which may provide open information about device performance. Experimental tests try to demonstrate the validity of the proposed approach, for characterization of RF transistors and power amplifiers, showing strong nonlinearities and memory effects in the analyzed bandwidth.