ppxscal/embedding_network huggingface dataset:
Universal Remote Control for the Smart World
Authors: Jukka Riekki, Ivan Sanchez, Mikko Pyykkönen
Venue: Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing (2008)

In this paper, we discuss how to build user friendly user interfaces to the smart world. We present the REACHeS architecture for controlling Internet services through physical user interfaces, using a mobile terminal and icons placed in the environment. An icon advertises a service that can be started by touching the icon with a mobile terminal. This service activation configures the mobile terminal as a remote control for the service. We have implemented this architecture and designed an icon set. The physical user interface is based on RFID technology: the terminals are equipped with RFID readers and RFID tags are placed under the icons. We present the first prototype applications and the first usability tests that we have carried out.
Embedding a family of disjoint multi-dimensional meshes into a crossed cube
Authors: Qiang Dong, Xiaofan Yang, Juan Zhao
Venue: Information Processing Letters (2008)

Crossed cubes are an important class of hypercube variants. This paper addresses how to embed a family of disjoint multi-dimensional meshes into a crossed cube. We prove that for n>=4 and 1==n-2m-1. This result means that a family of mesh-structured parallel algorithms can be executed on a same crossed cube efficiently and in parallel. Our work extends some recently obtained results.
Free and open-source software: Opening and democratising e-government's black box
Authors: David M. Berry, Giles Moss
Venue: Information Polity (2006)

This article considers the implications that the use of free and open-source software in government might have for democracy and public participation. From a constructionist perspective, the democratic 'effects' of non-proprietary software are contingent on how the practice of free and open-source software is discursively represented and constituted as it is translated into new e-government systems. On these premises, an analysis of official discourse and government policy for non-proprietary software suggests that its introduction into government will bring more 'politics as usual' rather than democratisation. Nevertheless, on the basis of an alternative discourse of ethics and freedom evident in the Free Software and Open Source communities, the authors of this paper envisage circumstances in which the discourse and practice of non-proprietary software contribute to opening-up and democratising e-government, by protecting and extending transparency and accountability in e-governments and by offering scope for technology to be shaped by citizens and associations as well as by administrators and private interests.
Software development cost estimation using wavelet neural networks
Authors: K. Vinay Kumar, V. Ravi, Mahil Carr, N. Raj Kiran
Venue: Journal of Systems and Software (2008)

Software development has become an essential investment for many organizations. Software engineering practitioners have become more and more concerned about accurately predicting the cost and quality of software product under development. Accurate estimates are desired but no model has proved to be successful at effectively and consistently predicting software development cost. In this paper, we propose the use of wavelet neural network (WNN) to forecast the software development effort. We used two types of WNN with Morlet function and Gaussian function as transfer function and also proposed threshold acceptance training algorithm for wavelet neural network (TAWNN). The effectiveness of the WNN variants is compared with other techniques such as multilayer perceptron (MLP), radial basis function network (RBFN), multiple linear regression (MLR), dynamic evolving neuro-fuzzy inference system (DENFIS) and support vector machine (SVM) in terms of the error measure which is mean magnitude relative error (MMRE) obtained on Canadian financial (CF) dataset and IBM data processing services (IBMDPS) dataset. Based on the experiments conducted, it is observed that the WNN-Morlet for CF dataset and WNN-Gaussian for IBMDPS outperformed all the other techniques. Also, TAWNN outperformed all other techniques except WNN.
Practical issues in the combining of MIMO techniques and RoF in OFDM/A systems
Authors: Ilkka Harjula, Antonio Ramirez, Francisca Martinez, David Zorrilla, Marcos Katz, Valentin Polo
Venue: Proceedings of the 7th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications (2008)

In this paper, several multipleinput multipleoutput (MIMO) techniques are studied for OFDM/A systems which have antennas connected to the base station with radio over fiber (RoF). The delay effects caused by the optical fibers on the fixed-beam transmit beamforming are studied via Monte Carlo simulations. Also the effect of combining RoF with other MIMO techniques in OFDM/A systems, like spatial multiplexing, spacetime coding, and receiver beamforming, is discussed. The results indicate that for phase shift differences lower than those corresponding to a 1 m unevenness in the fiber's length, RoF does not significantly decrease the performance of an OFDM/A system with fixed transmit beamforming, and with other MIMO techniques, the effect of employing RoF is negligible.
A memetic algorithm for multi-objective dynamic location problems
Authors: Joana Dias, M. Eugénia Captivo, João Clímaco
Venue: Journal of Global Optimization (2008)

This paper describes a new multiobjective interactive memetic algorithm applied to dynamic location problems. The memetic algorithm integrates genetic procedures and local search. It is able to solve capacitated and uncapacitated multi-objective single or multi-level dynamic location problems. These problems are characterized by explicitly considering the possibility of a facility being open, closed and reopen more than once during the planning horizon. It is possible to distinguish the opening and reopening periods, assigning them different coefficient values in the objective functions. The algorithm is part of an interactive procedure that asks the decision maker to define interesting search areas by establishing limits to the objective function values or by indicating reference points. The procedure will be applied to some illustrative location problems.
Synthesis of Petri Nets from Scenarios with VipTool
Authors: Robin Bergenthum, Jörg Desel, Robert Lorenz, Sebastian Mauser
Venue: Proceedings of the 29th international conference on Applications and Theory of Petri Nets (2008)

The aim of this tool paper is twofold: First we show that VipTool [9,2] can now synthesize Petri nets from partially ordered runs. To integrate this extension and further new functionalities, we changed the architecture of VipTool to a flexible plug-in technology. Second we explain how VipTool including the synthesis feature can be used for a stepwise and iterative formalization and validation procedure for business process Petri net models. The synthesis functionalities fill a gap in a previously defined procedure [9,7] where the first definition of an initial process model had to be done "by hand", i.e. without any tool support.
Software architecture for high data rate wireless body sensor applications
Authors: Pai H. Chou, Kane H. Kim
Venue:  (2007)

For wireless body area sensor networks, the wearable nodes are highly constrained by low power, low cost, and small size while deliverly high throughput and low latency in a multiple access environment. To accomplish these goals, the hardware must be kept simple, and as a result, the traditional abstractions with separate layers of the protocol stack and application must be merged and made as streamlined as possible. This dissertation identifies and removes two bottlenecks with data transfers: one is between the base station and its sensor nodes, and the other is within the sensor node. First, we propose a thin-server, fat-client architecture. It supports a pulling protocol that achieves intra-network collision-free multiple access as in TDMA but without the time synchronization overhead. It also achieves high data throughput of air bandwidth and adaptivity of CSMA protocols but without collision or complexity on the node side. Second, for infra-node transfers, another known bottleneck is the system bus. We identify the double-transaction problem, which is common to SPI, DMA, and other interfaces. We propose the Master-Handoff Protocol to eliminate the redundant transaction and improve latency significantly, and it is compatible with existing controllers. It not only halves the data transfer time but also achieves energy reduction. Together, these techniques enable highly constrained hardware to meet strict size and power constraints for high wearability without sacrificing performance.
An Adaptive Radar Target Signal Processing Scheme Based on AMTI Filter and Chaotic Neural Networks
Authors: Quansheng Ren, Jian Wang, Hongling Meng, Jianye Zhao
Venue: Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks (2007)

In the proposed new scheme of adaptive radar target signal processing, the chaotic neural network not only detects the target signal by reconstructing the chaotic clutter, but also repairs the frequency spectrum according to its associative memory characteristic. The clutter is filtered by the Burg algorithm based on the adaptive MTI filter. The information of distance and velocity is also obtained by Burg spectral estimation. The validity of the scheme is analyzed theoretically, and the simulation results show that it has good performance in clutter and noise background. The adaptive method adopted in this paper facilitates the radar design in complex environment.
Fast sum of absolute transformed difference based 4×4 intra-mode decision of H.264/AVC video coding standard
Authors: Mohammed Golam Sarwer, Lai-Man Po, Q. M. Jonathan Wu
Venue: Image Communication (2008)

One of the new features in the H.264/AVC encoder is the use of Lagrangian rate-distortion optimization (RDO) method during mode decision at the macroblock level. The RDO technique has been employed in H.264/AVC for intra-prediction mode selection to achieve better coding efficiency. But the computational complexity of mode decision algorithm is extremely high. To reduce the complexity of mode decision, we propose an efficient and fast 4x4 intra-prediction mode selection scheme. The proposed method reduces the candidate of the prediction modes based on the correlation between neighboring blocks and the sum of absolute transformed difference (SATD) between the original block and the intra-predicted block. Firstly, the rank of each mode is obtained based on the SATD value. Then, the candidate modes are further reduced by using the combination of rank and most probable mode. The proposed method reduces the number of candidate mode to either one or two. Simulation results demonstrate that the proposed mode decision method reduces about 91% of mode decision time and 70% of total encoding time of intra-coding with ignorable degradation of coding performance.
Conversation: J.M.M. Pinkerton
Authors: Christopher Evans
Venue: IEEE Annals of the History of Computing (1983)

Tape 6 in Christopher Evans's "Pioneers of Computing" series is a 1975 interview with John M. M. Pinkerton, edited excerpts of which are printed here. A focal point of the interview is Pinkerton's role in the design and construction of LEO I at J. Lyons & Co. in Great Britain. LEO (Lyons Electronic Office) was inspired by and based on Maurice V. Wilkes's pioneering EDSAC and was one of the first electronic computers designed specifically for commercial rather than scientific use. LEO heralded today's revolution in office work-a revolution whose ultimate impact is still in our future. 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
Hierarchies of Piecewise Testable Languages
Authors: Ondřej Klíma, Libor Polák
Venue: Proceedings of the 12th international conference on Developments in Language Theory (2008)

The classes of languages which are boolean combinations of languages of the form $$A^*a_1A^*a_2A^*\dots A^*a_\ell A^*, \text{ where } a_1,\dots ,a_\ell\in A,\ \ell\le k\,,$$ for a fixed k ¿ 0, form a natural hierarchy within piecewise testable languages and have been studied in papers by Simon, Blanchet-Sadri, Volkov and others. The main issues were the existence of finite bases of identities for the corresponding pseudovarieties of monoids and generating monoids for these pseudovarieties.Here we deal with similar questions concerning the finite unions and positive boolean combinations of the languages of the form above. In the first case the corresponding pseudovarieties are given by a single identity, in the second case there are finite bases for k equal to 1 and 2 and there is no finite basis for k ¿ 4 (the case k = 3 remains open). All the pseudovarieties are generated by a single algebraic structure.
An XML-Centric Storage for Better Preservation and Maintenance of Data: Union Catalog of NDAP, Taiwan
Authors: Tzu-Yen Hsu, Ting-Hua Chen, Chung-Hsi Hung, Sea-Hom Chou
Venue: Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries (2008)

The Union Catalog (UC) of Taiwan was established to provide an integrated search service for millions of digital objects distributed in the databases of different institutions. The main challenge is how to continuously and consistently manage large quantities of data. XML technologies have already been recommended for greater data preservation rather than database systems. In addition, we assume that a database design in our case would be complex and that consistent maintenance would be difficult. For this reason, databases are not used as the primary storage mechanism of the UC. Although the UC adopts an XML-centric architecture, it has difficulty handling data queries, data modification, and category listing efficiently. In this paper, we discuss how we use XML technologies to implement the UC system, and how we solve the issues arising from XML's limitations.
Autonomous virtual humans and lower animals: from biomechanics to intelligence
Authors: Demetri Terzopoulos
Venue: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1 (2008)

The confluence of virtual reality and artificial life, an emerging discipline that spans the computational and biological sciences, has yielded synthetic worlds inhabited by realistic artificial flora and fauna. Artificial animals are complex synthetic organisms that have functional, biomechanical bodies, perceptual sensors, and brains with locomotion, perception, behavior, learning, and cognition centers. Virtual humans and lower animals are of interest in computer graphics because they are self-animating graphical characters poised to dramatically advance the interactive game and motion picture industries even more so than have physics-based simulation technologies. More broadly, these biomimetic autonomous agents in their realistic virtual worlds also foster deeper computationally-oriented insights into natural living systems. Furthermore, they engender interesting applications in computer vision, sensor networks, archaeology, and other domains.
Groundwater Numerical Modeling and Environmental Design Using Artificial Neural Networks and Differential Evolution
Authors: Ioannis K. Nikolos, Maria Stergiadi, Maria P. Papadopoulou, George P. Karatzas
Venue: Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II (2008)

A Differential Evolution (DE) algorithm is combined with an Artificial Neural Network (ANN) to examine different operational strategies for the productive pumping wells located in the Northern part of Rhodes Island in Greece. The objective is to maximize the pumping rate without violating the environmental constraints associated with the water table drawdown at critical locations. The hydraulic head field is simulated using a groundwater flow simulator that solves numerically a system of partial differential equations. Successive calls to the simulator are used to provide the training data to the ANN. Then the ANN is used as an approximation model to the simulator, successively called by the DE algorithm to evaluate candidate solutions. The adopted procedure provides the ability to test different scenarios, concerning the optimization constraints, without retraining of the ANN, which significantly reduces the computational cost of the procedure.
Application of a Formal Specification Language in the Development of the "Mobile FeliCa" IC Chip Firmware for Embedding in Mobile Phone
Authors: Taro Kurita, Miki Chiba, Yasumasa Nakatsugawa
Venue: Proceedings of the 15th international symposium on Formal Methods (2008)

We have adopted formal specification language in the development of firmware of "Mobile FeliCa" IC chip and have achieved successful results and confirmed its effectiveness.
A fast and simple algorithm for computing the longest common subsequence of run-length encoded strings
Authors: Hsing-Yen Ann, Chang-Biau Yang, Chiou-Ting Tseng, Chiou-Yi Hor
Venue: Information Processing Letters (2008)

Let X and Y be two strings of lengths n and m, respectively, and k and l, respectively, be the numbers of runs in their corresponding run-length encoded forms. We propose a simple algorithm for computing the longest common subsequence of two given strings X and Y in O(kl+min{p"1,p"2}) time, where p"1 and p"2 denote the numbers of elements in the bottom and right boundaries of the matched blocks, respectively. It improves the previously known time bound O(min{nl,km}) and outperforms the time bounds O(kllogkl) or O((k+l+q)log(k+l+q)) for some cases, where q denotes the number of matched blocks.
An automated sensor-based method of simple behavioural classification of sheep in extensive systems
Authors: C. Umstätter, A. Waterhouse, J. P. Holland
Venue: Computers and Electronics in Agriculture (2008)

Automated sensor-based behaviour classification systems are already developed and used for cattle in an agricultural context. To develop a similar tool for sheep we investigated the use of pitch and roll tilt sensors to provide information about sheep behaviour. The aim was to determine if different behaviour types associated with grazing can be accurately identified using tilt sensor data. We collected data from two adjacent enclosures at two contrasting sites, one in the Southern Uplands grazed by Cheviot ewes and one in the Western Highlands of Scotland grazed by Scottish Blackface ewes. In addition to our observations of ewes on hill pasture we also observed collared ewes in flat and gently sloped fields and in a shed to evaluate the tilt data. The data was analysed using three classification methods, a linear discriminant analysis, a classification tree method, and a manually developed decision tree consisting of four ''if then'' loops. We found that we can distinguish between the two behaviour categories ''active'' and ''inactive'', even if only pitch tilt data is used. All three methods provide very good classification predictions with more than 90% correct results. However, the classification tree method was less robust than the other methods. Using the manually developed decision tree, we produced results of activity that were robust and credible. By using the behaviour classification we are able to collect data on different genotypes, systems or management options in sheep farming, and in combination with GPS we will be able to improve management strategies and gain information about grazing ecology. It can also be seen as a first step to support farmers with a viable system to comply with welfare regulations in the light of European Union Common Agricultural Policy and as an integral part for future developments regarding virtual fencing technology for sheep.
The Vectorization of a Ray-Tracing Algorithm for Improved Execution Speed
Authors: David Plunkett, Michael Bailey
Venue: IEEE Computer Graphics and Applications (1985)

Ray tracing has always been a computational problem. Can it be improved?
Conceptual Graphs as Cooperative Formalism to Build and Validate a Domain Expertise
Authors: Rallou Thomopoulos, Jean-François Baget, Ollivier Haemmerlé
Venue: Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications (2007)

This work takes place in the general context of the construction and validation of a domain expertise. It aims at the cooperation of two kinds of knowledge, heterogeneous by their granularity levels and their formalisms: expert statements represented in the conceptual graph model and experimental data represented in the relational model. We propose to automate two stages: firstly, the generation of an ontology (terminological part of the conceptual graph model) guided both by the relational schema and by the data it contains; secondly, the evaluation of the validity of the expert statements within the experimental data, using annotated conceptual graph patterns.
System-on-chip integration of embedded automotive controllers
Authors: Michael Engel, Olaf Spinczyk
Venue: Proceedings of the 1st workshop on Isolation and integration in embedded systems (2008)

Automotive embedded systems today fulfill a large variety of tasks -- from simple mechanisms like window regulators to the control of complex multimedia systems. Current high-end cars use more than 70 microcontrollers, connected over one or more common bus systems. Many of these controllers are comparatively simple 8- or 16-bit systems. The availablility of large-scale FPGAs enables system designers to replace several of these systems with an implementation as software cores. This paper examines novel possibilities for and problems encountered with the integration of several such smaller control components onto an FPGA. Special focus is set on reusability of software by using instruction-compatible CPU cores and interfacing to physical controller units. The paper examines the amount of control systems that can be integrated onto different FGPAs, methods for saving space by including only required on-chip peripherals and the achievable overall performance of the integrated system.
A Rule Based Approach for Skew Correction and Removal of Insignificant Data from Scanned Text Documents of Devanagari Script
Authors: Pramod Kumar Sharma, Kapil Dev Dhingra, Sudip Sanyal
Venue: Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System (2007)

In this paper we have presented a rule based approach for removing insignificant data and skew from scanned documents of Devanagari script. To develop an OCR system for Devanagari script is not an easy job hence proper preprocessing of these scanned documents requires noise removal and correcting skew from the image. The proposed system is based on rule based methods, morphological operations and connected component labeling. Images used for the experiment are binarised grayscale images. Experiments and results show that presented method is robust for preprocessing scanned images of Devanagari text documents.