ppxscal/embedding_network huggingface dataset:
Real-time disparity map computation module
Authors: Christos Georgoulas, Leonidas Kotoulas, Georgios Ch. Sirakoulis, Ioannis Andreadis, Antonios Gasteratos
Venue: Microprocessors Microsystems (2008)

Stereo vision deals with images acquired by a stereo camera setup, where the disparity between the stereo images allows depth estimation within a scene. 3D information, hence, is retrieved which is essential in many machine vision applications. Disparity map extraction of an image is a computationally demanding task. Previous work on disparity map computation is mainly limited to software based techniques on general-purpose architectures. In this paper a new hardware-efficient real-time disparity map computation module is developed. This enables a hardware-based cellular automata (CA) parallel-pipelined design, for the overall module, realized on a single FPGA device, the typical operating frequency of which is 256MHz. Accurate disparity maps are computed at a rate of nearly 275 per second, for a stereo image pair with a disparity range of 80 pixels and 640x480 pixels spatial resolution. The presented hardware-based algorithm provides very good processing speed at the expense of accuracy, with very good scalability in terms of disparity levels. The proposed method allows the fastest disparity map computational module to be built, to the best of the authors' knowledge so far, enabling a suitable module for real-time stereo vision applications.
Announcements
Authors: Newton Lee
Venue: Computers in Entertainment (CIE) (2008)

1. Facial and Bodily Expressions for Control and Adaptation of Games (ECAG '08) 2. The Fourth Conference on Artificial Intelligence and Interactive Digital Entertainment 3. Gaming 2008: Design For Engaging Experience And Social Interaction 4. Artificial Intelligence for Computer Games 5. Workshop on Network and Systems Support for Games: NetGames 2008 6. Workshop on Artful applications in Ambient TV
Approach of adaptive control for a class of nonlinear systems using fuzzy approximator
Authors: Hugang Han, Yoshio Morioka
Venue: Proceedings of the 9th WSEAS International Conference on Systems (2005)

Based on the Lyapunov synthesis approach and regarding the fuzzy system as approximator to approximate unknown functions in the system to be controlled, several adaptive control schemes have been developed during the last decade or more. Actually, (i) most of them just consider SISO systems (which can avoid the challenge of the coupling between control inputs); (ii) the system state have been involved in the fuzzy controller directly (in this way, there is no need to consider the problem of state observer). This paper develops a design methodology for a class of MIMO nonlinear systems with state observer. The overall adaptive scheme is shown to guarantee the tracking error, between the outputs of system and the desired values, to be asymptotical in decay, while maintaining all singles involved stable and forcing the estimated state to follow the real state rapidly.
Extending Sametime 7.5 Building Plug-ins for Sametime
Authors: IBM Redbooks
Venue:  (2007)

With the release of IBM Lotus Sametime Connect 7.5, IBM provides an application platform upon which enhancements and application plug-ins can be built to best meet your organization's needs. Sametime Connect 7.5 is the first release of new instant messaging technology built on the Eclipse-based IBM WebSphere Everyplace Deployment platform. This new release leverages the Eclipse plug-in framework to provide developers with extensibility features that go far beyond those available in previous releases. Lotus Sametime Connect 7.5 offers more than simple instant messaging and presence features. Because it is built on Eclipse, a variety of plug-ins that expand the functionality of Lotus Sametime Connect are shipped with the product, and third parties can build additional plug-ins. The objective of this IBM Redbook is to show you how to develop Eclipse based plug-ins to customize and personalize the real-time, collaborative capabilities of Sametime within your organization. The book serves as a thorough guide on how to build plug-ins, beginning with how to install the Eclipse development environment, and then leading the reader through numerous examples ranging from a basic introduction on branding your Sametime environment, to showing how to integrate with a back-end system, retrieve information, and then manipulate the data presentation within the context of a Sametime window. For each example, we provide the audience with a step-by-step guide on how to build the plug-in. Finally, this capability for custom development represents a primary value point for Sametime 7.5. The ability to create plug-ins allows organizations to meet the growing needs of the instant messaging community. This flexibility, combined with Sametime's already proven security model and numerous user interface enhancements, makes Lotus Sametime Connect a powerful tool to help companies harness the potential of their employees.
A Novel Approach for Multiplication over GF(2m) in Polynomial Basis Representation
Authors: Abdulah Abdulah Zadeh
Venue: Proceedings of the 2008 Third International Conference on Availability, Reliability and Security (2008)

In this paper a new approach for multipliers over GF(2PmP) in Polynomial (Standard) Basis representation is proposed. The proposed multiplier is a new construction for hybrid multipliers. The main advantage of this multiplier compare to other proposed multipliers is in the reduction unit which occupies less area on chip to implement. In this effect, first a new algorithm is presented, which computes the multiplication in n iterations. Using this algorithm, a new architecture is proposed. Then the proposed multiplier is analyzed in terms of gates complexity and gate delay. Implementation results of the multiplier over FPGA are also presented.
Dynamic model based formation control and obstacle avoidance of multi-robot systems
Authors: Celso De la cruz, Ricardo Carelli
Venue: Robotica (2008)

This work presents, first, a complete dynamic model of a unicycle-like mobile robot that takes part in a multi-robot formation. A linear parameterization of this model is performed in order to identify the model parameters. Then, the robot model is input-output feedback linearized. On a second stage, for the multi-robot system, a model is obtained by arranging into a single equation all the feedback linearized robot models. This multi-robot model is expressed in terms of formation states by applying a coordinate transformation. The inverse dynamics technique is then applied to design a formation control. The controller can be applied both to positioning and to tracking desired robot formations. The formation control can be centralized or decentralized and scalable to any number of robots. A strategy for rigid formation obstacle avoidance is also proposed. Experimental results validate the control system design.
Comparing Newton with ANN for load flow
Authors: J. Bilbao, E. Bravo
Venue: Proceedings of the 5th WSEAS International Conference on Applied Mathematics (2004)

In most power system studies, a major part of the problem is the finding of the voltages needed to meet a given schedule of loads and generation. Until now, iteration methods have been used to calculate the respective load flows. This paper presents a study to compare Newton method and sparse matrices with artificial neural networks regarding a load flow problem in electric distribution lines.
Radiometric normalization of sensor scan angle effects in optical remote sensing imagery
Authors: G. Palubinskas, R. Müller, P. Reinartz, M. Schroeder
Venue: International Journal of Remote Sensing (2007)

Radiometric distortions along the scan line, caused mainly by the atmosphere, reflection properties of the imaged surface objects, and topography are observed frequently in images acquired by optical remote-sensing sensors, especially airborne sensors with a wide field of view. In practical applications, such as classification or mosaicking of image data, a relative correction or normalization of these radiometric distortions is needed. Therefore, the goal of this paper is to derive a relative correction algorithm for multispectral line scanner images, which allows the spectral radiance values for different scan angles to be converted to radiance values of a defined reference scan angle. Under the simplifying assumption of complete diffuse reflectors, these radiometric distortions are modelled using a linear equation between the radiances of a pair of scan angles for each class of surface objects separately. A linear regression, applied to all these equations, results in a linear model for the radiance correction, a new empirical radiometric correction method, which is a generalization of earlier proposed strictly additive or multiplicative models. The proposed method is based solely on the digital image data. So, no additional information or user interaction is required, and the method is fully automatic. Applications for data acquired with the airborne multispectral scanner DAEDALUS AADS 1268 ATM show the effectiveness and potential of the proposed method especially for mosaicking and classification purposes.
Enhanced efficiency and frequency assignment by optimizing the base stations location in a mobile radio network
Authors: Raú Chávez-Santiago, Avi Raymond, Vladimir Lyandres
Venue: Wireless Networks (2008)

Most mobile radio networks have been planned based on the classical cellular concept. However, alternative planning strategies that lead to more efficient network configurations are necessary due to the fact that the traffic density is generally far from constant throughout the service area, making necessary the relocation of base stations inside the traffic hotspots. If the traffic is characterized in a discrete way, the optimization of base stations location resembles vector quantization, a well-known problem in signal processing. In this paper, we use this analogy to propose a mobile radio network planning algorithm. Simulation results show that higher trunking efficiency as well as improved frequency assignment can be obtained if an existing mobile radio network is redesigned using the presented strategy.
An architecture-adaptive neural network online control system
Authors: Xun Liang, Rong-Chang Chen, Jian Yang
Venue: Neural Computing and Applications (2008)

An architecture-adaptive intelligent self-tuning control system is presented. The system is composed of the supervisor module, the model refinement module, the process plant and the database. In the supervisor module, the user prescribes the desired curve for the plant dynamic process. The model refinement module is in parallel with the process plant, and consists of the self-tuning process model, which contains an architecture-adaptive neural network. The model refinement module could learn intelligently the real process plant by the prompt adjustments based on the difference of the outputs of the two modules, and its learned model is also refined gradually. This diagram is especially versatile in the complex nonlinear and time-variant systems in practice.
Proceedings of the 2nd international workshop on Scalable stream processing system
Venue: SSPS; Vol. 301 (2008)

This Second Workshop on Scalable Stream Processing System (SSPS) continued the success of the First Workshop on SSPS. The focus of the workshop is on the scalability issues of a stream processing system challenged by ever increasing load and stringent requirement on the system. Being co-located with EDBT '08 was an ideal setting for the workshop, considering the reputation of EDBT as a top conference on database technology.
NRCS GeoHydro-A GIS interface for hydrologic modeling
Authors: William H. Merkel, Ravichandran M. Kaushika, Eddy Gorman
Venue: Computers Geosciences (2008)

The US Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS) has developed NRCS GeoHydro 9x, a new ArcGIS application, to complement the WinTR-20 application and assist USDA field staff, and other government, private, and foreign organizations. WinTR-20 is a storm event hydrologic model used to evaluate impacts of structural and land treatment measures. NRCS GeoHydro 9x, using geographic information systems (GIS) tools and techniques, performs hydrologic modeling on a drainage area to compute its catchments, drainage points, drainage lines, slope, runoff curve number, longest flow path, time of concentration (T"c), and cross-section details. The application acts as a GIS interface to WinTR-20 by exporting the results of GIS analyses of the drainage area in the input format of WinTR-20. NRCS GeoHydro 9x reinforces the idea that GIS tools and techniques enhance productivity by doing preliminary hydrologic analysis of the drainage area in an objective and accurate manner in a relatively short duration.
On throughput efficiency of geographic opportunistic routing in multihop wireless networks
Authors: Kai Zeng, Wenjing Lou, Jie Yang, Donald R. Brown,  III
Venue: Mobile Networks and Applications (2007)

Geographic opportunistic routing (GOR) has shown throughput efficiency in coping with unreliable transmissions in multihop wireless networks. The basic idea behind opportunistic routing is to take advantage of the broadcast nature and spacial diversity of the wireless medium by involving multiple neighbors of the sender into the local forwarding, thus improve transmission reliability. The existing GOR schemes typically involve as many as available next-hop neighbors into the local forwarding, and give the nodes closer to the destination higher relay priorities. In this paper, we show that it is not always the optimal way to achieve the best throughput. We introduce a framework to analyze the one-hop throughput of GOR, provide a deeper insight into the trade-off between the benefit (packet advancement and transmission reliability) and cost (medium time delay) associated with the node collaboration, and propose a local metric named expected one-hop throughput (EOT) to balance the benefit and cost. We also identify an upper bound of EOT and its concavity, which indicates that even if the candidate coordination delay were negligible, the throughput gain would become marginal when the number of forwarding candidates increases. Based on the EOT, we also propose a local candidate selection and prioritization algorithm. Simulation results validate our analysis and show that the EOT metric leads to both better one-hop and path throughput than the corresponding pure GOR and geographic routing.
Change patterns and change support features - Enhancing flexibility in process-aware information systems
Authors: Barbara Weber, Manfred Reichert, Stefanie Rinderle-Ma
Venue: Data Knowledge Engineering (2008)

Companies increasingly adopt process-aware information systems (PAISs), which offer promising perspectives for more flexible enterprise computing. The emergence of different process support paradigms and the lack of methods for comparing existing approaches enabling PAIS changes have made the selection of adequate process management technology difficult. This paper suggests a set of 18 change patterns and seven change support features to foster the systematic comparison of existing process management technology in respect to process change support. While the proposed patterns are all based on empirical evidence from several large case studies, the suggested change support features constitute typical functionalities provided by flexible PAISs. Based on the proposed change patterns and features, we provide a detailed analysis and evaluation of selected approaches from both academia and industry. The presented work will not only facilitate the selection of technologies for realizing flexible PAISs, but can also be used as a reference for implementing flexible PAISs.
The digital workbook; using web 2.0 for generative research purposes
Authors: M. C. Kaptein, K. Slegers, H. Nelissen, A. Weisscher, J. M. B. Terken
Venue: Proceedings of the 9th international conference on Human computer interaction with mobile devices and services (2007)

If we want future products and services to be designed for a specific target group, we need to assess the latent needs of this target group. Assessing these needs can be done using generative research techniques. This paper describes the development of the digital workbook, a digital tool to be used in the sensitizing stage of a contextmapping study, a methodology for generative research. Evaluation of the digital workbook shows the great potential of using the possibilities of web 2.0 to create digital research tools which combine the size and low costs of online surveys with the richness of data provided by generative research methods.
Arabic writer identification based on hybrid spectral-statistical measures
Authors: Ayman Al-Dmour, Raed Abu Zitar
Venue: Journal of Experimental Theoretical Artificial Intelligence (2007)

Many techniques have been reported for handwriting-based writer identification. None of these techniques assume that the written text is in Arabic. In this paper we present a new technique for feature extraction based on hybrid spectral-statistical measures (SSMs) of texture. We show its effectiveness compared with multiple-channel (Gabor) filters and the grey-level co-occurrence matrix (GLCM), which are well-known techniques yielding a high performance in writer identification in Roman handwriting. Texture features were extracted for wide range of frequency and orientation because of the nature of the spread of Arabic handwriting compared with Roman handwriting, and the most discriminant features were selected with a model for feature selection using hybrid support vector machine-genetic algorithm techniques. Four classification techniques were used: linear discriminant classifier (LDC), support vector machine (SVM), weighted Euclidean distance (WED), and the K nearest neighbours (K_NN) classifier. Experiments were performed using Arabic handwriting samples from 20 different people and very promising results of 90.0% correct identification were achieved.
Achieving process analysis in TFT-LCD manufacturing industry by using statistical technique
Authors: Kun-Lin Hsieh, Yen-Sheng Lu
Venue: Proceedings of the 6th WSEAS International Conference on Systems Theory & Scientific Computation (2006)

Enhancing yield via detailed process analysis had become an important competitiveness determinant for thin film transistor-liquid crystal displays (TFT-LCD) factories. Until now, few studies were proposed to address the related issues for process analysis in TFT-LCD industry. Therefore, the process know-how, effect analysis or the improvement chances which are hidden behind process analysis will be frequently omitted. Hence, how to apply usedul techniques into analyzing the manufacturing processes will become an important issue to be addressed in TFT-LCD industry. In this study, we proposed a procedure based on statistical analysis technique to achieve the purpose. A real illustrative case owing to TFT-LCD manufacturer at Tainan Science Park in Taiwan will be applied to verifying the rationality and feasibility of our proposed procedure.
Automated Specific Instruction Customization Methodology for Multimedia Processor Acceleration
Authors: Kang Zhao, Jinian Bian, Sheqin Dong, Yang Song, Satoshi Goto
Venue: Proceedings of the 9th international symposium on Quality Electronic Design (2008)

To enhance the computing ability of the multimedia processor, this paper presents an automated specific instruction customization methodology. Specially, this methodology features a profiling stage which is equipped with a sub-graph matching algorithm. Furthermore, to support the features of multimedia systems, three special structures are integrated, such as fusion instructions, parallel and pipelining. To evaluate this methodology, a case study on H.264 encoder is adopted, and a H.264-JM8.0 system is built based on the Xtensa toolset from Tensilica Inc. We have verified it with a set of video benchmarks. The experimental results indicate that 67% enhancement can be obtained via specific instructions.
Effective Monitoring of a Survivable Distributed Networked Information System
Authors: Paul Rubel, Michael Atighetchi, Partha Pal, Martin Fong, Richard O'Brien
Venue: Proceedings of the 2008 Third International Conference on Availability, Reliability and Security (2008)

In 2002, DARPA put together a challenging proposition to the research community: demonstrate using an existing information system and available DARPA developed and other COTS technologies that a very high level of survivability against unconstrained attack by a nation state-level red team is achievable. This report describes the monitoring, intrusion detection, and reporting infrastructure of the resulting system, highlighting the design principles and lessons learned that are generally applicable to survivable information systems
ALPHASUM: A Score Matrix Based on Low Identity All-alpha Proteins
Authors: Hai Song Xu, Wen Ke Ren, Xiao Hui Liu, Xiao Qin Li
Venue: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 01 (2008)

Aligning protein sequences using a score matrix has became a routine but valuable method in modern biological research. However, alignment in "Twilight Zone" is still a challenging issue. New score matrices such as Position Specific Score Matrix and structural context-based matrix have been issued to deal with it, whereas generalized matrices are still useful in pairwise alignment and/or some steps of generating profiles. Family-specific matrices have been proved effective in improving alignment, whereas the generalization of them is reduced.ALPHASUM, a score matrix based on structure alignment of low identity all-alpha proteins is constructed. Performance comparison suggests substitution pattern difference between all-alpha proteins and all proteins and indicates that alignment of all-alpha proteins in "Twilight Zone" can be improved by using alpha class-specific matrix and gap penalties. The implication between structure-derived matrix and influence of amino acid substitution to structure is also suggested.
Exploring evaluation metrics: GMAP versus MAP
Authors: Sri Devi Ravana, Alistair Moffat
Venue: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008)

In retrieval experiments, an effectiveness metrics is used to generate a score for each system-topic pair being tested. It is then usual to average the system-topic scores to obtain a system score, which is used for the purpose of system comparison. In this paper we explore the ramifications of using the geometric mean (GMAP), rather than the arithmetic mean (MAP) when computing an aggregate system score from a set of system-topic scores. We find that GMAP does indeed handle variability in topic difficulty more consistently than does the usual MAP aggregation method.
Fast rate-distortion optimization in the H.264/AVC standard
Authors: Tea Anselmo, Daniele Alfonso
Venue: Proceedings of the 2nd international conference on Mobile multimedia communications (2006)

Rate-Distortion Optimization (RDO) is a new feature of JVT H.264/AVC video encoder that enables a substantial enhanced efficiency with respect to all previous video coding standards. However, RDO causes a considerable increase in encoding computational complexity, proportional to the square of the search window size when the Full-Search motion estimation algorithm is applied. In this paper, a fast block-based predictive-recursive motion estimation algorithm is illustrated in combination with RDO algorithms. Extensive simulations show that, using the proposed algorithms, the time devoted to RDO is significantly reduced while keeping performance extremely close to JVT reference software JM8.6.