ppxscal/embedding_network huggingface dataset:
Experiment of Virtual Space Distance Education System using the Objects of Cultural Heritage
Authors: Nobuyoshi Terashima, John Tiffin, Lalita Rajasingham
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

Recently the number of exchange of lectures are increasing year by yaer. To promote this,distance education systems have been developed and put into practical use. To step further,a virtual space distance education platform called HyperClass has been proposed. HyperClass is a class where a teacher and students who are at different locations,in reality their images,are brought together through Internet, and they can have classes and do cooperative work as if they were attending at the same classroom. Any multimadia materials for education can be introduced into HyperClass. HyperClass is based on HyperReality(HR).HR is the concept of combination of virtual reality and real reality. A prototype system of HyperClass has been developed and 3D objects of Japanese cultural heritage were introduced into HyperClass. To evaluate the efficiecy and effectiveness of HyperClass,an experiment has been carried out by interconnecting between Waseda University and Victoria University of wellington through the Internet. Good results have been obtained.
A Logic for Reasoning about Persuasion
Authors: Katarzyna Budzyńska, Magdalena Kacprzak
Venue: Fundamenta Informaticae (2008)

In the article, we introduce a sound and complete deductive system (AGn) which can be used to reason about persuasion process performed in distributed systems of agents in circumstances of uncertain and incomplete information. In order to express degrees of beliefs of these agents, we adopt methods of Logic of Graded Modalities. To represent degrees' changes resulting from the persuasion, we apply tools of Algorithmic Logic and Dynamic Logic. As a result, we interpret arguments as actions which lead to change of grades of agents' beliefs.
Robust TCP Vegas in Wireless Networks
Authors: Rung-Shiang Cheng, Chung-Fan Liu, Yuan-Cheng Lai, Der-Jiunn Deng
Venue: Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing (2008)

Since wireless applications have been widely studied over the recent years, the utilization of TCP under wireless environments is also an important issue. TCP design focuses on whether the wired networks perform well in wireless networks where links encounter an erratic error and result in a very low TCP throughput. This study investigated the TCP Vegas in a wireless environment, and used the queue length to determine the cause of packet loss, in order to reduce the unnecessary window degradation and improve the utilization of wireless network.
A Scenario Based Virtual Military Sandbox Implementation Using Web Services
Authors: Baki Koyuncu, Erkan Bostanci
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

In this paper, a tactical military software, called “Sand-box”, which was implemented using .NET framework, was presented. The tool enables commanders to visualize the battlefield and obtain recent information about the operations in order to give efficient decisions. The system extensively uses XML based data in order to provide a flexible structure and ease the transmission of data between distributed decision makers or intelligence agents. Graphical features, used in the system, presents a better view of the battlefield using real terrain data obtained from USGS DEM format.
Systems Biology: Models and Logics
Authors: Carla Piazza, Alberto Policriti
Venue: Proceedings of the 24th International Conference on Logic Programming (2008)

The field of systems biology focuses on creating a finely detailed picture of biological mechanisms. Recently, the need has arisen for more and more sophisticated and mathematically well founded computational tools, capable of analyzing those models that are and will be at the core of Systems Biology. The challenge consists in faithfully implementing such computational models in software packages exploiting the potential trade-offs among usability, accuracy, and scalability when dealing with large amounts of data. The aim of this presentation is that of introducing some emerging problems and proposed solutions in this context.In particular, after an introductory first part, in the second part we will focus on the use of Hybrid Systems in Systems Biology. Hybrid systems are dynamical systems presenting both discrete and continuous evolution, originally proposed to study embedded systems, where a discrete control acts on a continuously changing environment. The presence of both discrete and continuous dynamics makes this formalism appealing also for modeling biological systems. However, the situation in this case is subtler, basically because there is no "natural" separation of discrete and continuous components. It comes as no surprise, therefore, that Hybrid Systems have been used in Systems Biology in rather various ways. Some approaches, like the description of biological switches, concentrate on the use of model-checking routines. Other applications, like the switching between continuous and discrete/stochastic simulation, focus on the exploitation of the interplay between discreteness and continuity in order to reduce the computational burden of numerical simulation, yet maintaining an acceptable precision. We will survey some of the main uses of Hybrid Automata in Systems Biology, through a series of cases studies that we deem interesting and paradigmatic, discussing both actual and foreseeable, logical and implementation issues.
Plenary lecture IV: intelligent techniques for medical e-learning systems
Authors: Abdel-Badeeh M. Salem
Venue: Proceedings of the 12th WSEAS international conference on Computers (2008)

Medical Intelligent e-Learning Systems (MILSs) are concerned with the construction of intelligent software that performs diagnosis and make therapy recommendations. Unlike other medical applications abased on other programming methods such as purely statistical methods, MILSs are based on symbolic models of disease and their relationship to patient factors. Many types of MILSs are in existence today and are applies to different medical tasks, e.g. generation alerts and remainders, diagnosis assistant, therapy critiquing and education. This talk presents some of the intelligent technologies used in developing intelligent medical learning systems at Ain Shams University, Cairo, are discussed as well.
Hardware Design of Signal Processing System Based on DSP
Authors: Hou Ming
Venue: Proceedings of the 2009 International Conference on Electronic Computer Technology (2009)

Millimeter wave short range combined detection technology refers to that combining millimeter wave radar with radiometer and taking full advantage of the active range measurement and passive radiation characteristics of target to realize target bearing decision and target recognition, which is the development trend of millimeter wave detection technology and greatly improves the performances of millimeter wave detector. This paper takes TMS320VC5410 DSP chip as the core and utilizes the high-speed signal processing ability, rich on-chip resources and flexible external interfaces of C5410 DSP chip to finish the hardware design of signal processing system, including the following modules, such as AD sampling, memory extension, system power and system clock, etc, finally debugs the system and sums up the debugging experience.
Network processing of documents, for documents, by documents
Authors: Ichiro Satoh
Venue: Proceedings of the ACM/IFIP/USENIX 2005 International Conference on Middleware (2005)

This paper presents a content-dependent and configurable framework for the network processing of documents. Like existing compound document frameworks, it enables an enriched document to be dynamically and nestedly composed of software components corresponding to various content, e.g., text, images, and windows. It also enables each component or document to migrate over a network under its own control utilizing mobile agent technology and uses components as carriers or forwarders because it enables them to carry or transmit other components as first class objects to other locations. Since these operations are still document components, they can be dynamically deployed and customized at local or remote computers through GUI manipulations. It therefore allows an end-user to easily and rapidly configure network processing in the same way as if he/she had edited the documents.
The Spiral Effect
Authors: Gary Singh
Venue: IEEE Computer Graphics and Applications (2009)

Utilizing the POV Scene Description Language (POV-SDL), as well as his own custom-developed software, Robert McGregor creates digital image art completely from scratch without the infusion or manipulation of any external image sources.
Multiperspective modeling, rendering, and imaging
Authors: Jingyi Yu, Leonard McMillan, Peter Sturm
Venue: ACM SIGGRAPH ASIA 2008 courses (2008)

A perspective image represents the spatial relationships of objects in a scene as they appear from a single viewpoint. In contrast, a multiperspective image combines what is seen from several viewpoints into a single image. Despite their incongruity of view, effective multiperspective images are able to preserve spatial coherence and can depict, within a single context, details of a scene that are simultaneously inaccessible from a single view, yet easily interpretable by a viewer. In computer vision, multiperspective images have been used for analyzing structure revealed via motion and generating panoramic images with a wide field-of-view using mirrors. In this STAR, we provide a practical guide on topics in multiperspective modeling and rendering methods and multiperspective imaging systems. We start with a brief review of multiperspective image techniques frequently employed by artists such as the visual paradoxes of Escher, the Cubism of Picasso and Braque, and multiperspective panoramas in cel animations. We then characterize existing multiperspective camera models, with an emphasis on their underlying geometry and image properties. We demonstrate how to use these camera models for creating specific multiperspective rendering effects. Furthermore, we show that many of these cameras satisfy the multiperspective stereo constraints and we demonstrate several multiperspective imaging systems for extracting 3D geometry for computer vision. The participants learn about topics in multiperspective modeling and rendering for generating compelling pictures for computer graphics and in multiperspective imaging for extracting 3D geometry for computer vision. We hope to provide enough fundamentals to satisfy the technical specialist without intimidating curious digital artists interested in multiperspective images. The intended audience includes digital artists, photographers, and computer graphics and computer vision researchers using or building multiperspective cameras. They will learn about multiperspective modeling and rendering, along with many real world multiperspective imaging systems.
Adaptable pluggable multimodal input with extensible accessible soft dialogues for games
Authors: Anthony Savidis, Yannis Lilis
Venue: Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology (2008)

We propose a game input system with two-level multimodality: an action may be performed via a number of virtual input devices, while the latter may be associated to a number of physical input devices that can be plugged or unplugged on-the-fly. Our input system includes a mode manager, capable to dynamically judge if the offered game commands are not possible via the available physical input devices. In such situations, the mode manager automatically activates interactive graphical panels providing all game commands, supporting pointing and switch-based input, the latter accessible by hand-motor impaired users. We refer to such panels as soft input dialogues, offering an automatic, extensible, and adaptable intermediate input layer among the game system and the input devices. Our input system supports pluggability, enabling locally or remotely connected devices to be utilized on-the-fly, a feature particular useful for pervasive games.
Delay-optimal simultaneous technology mapping and placement with applications to timing optimization
Authors: Yifang Liu, Rupesh S. Shelar, Jiang Hu
Venue: Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design (2008)

Technology mapping and placement have significant impact on the delays in standard cell based very large scale integrated (VLSI) circuits. Traditionally, these steps are applied separately to optimize delays, possibly since efficient algorithms that allow the simultaneous exploration of the mapping and placement solution spaces are unknown. In this paper, we present an exact polynomial time algorithm for delay-optimal placement of a tree and extend the same to simultaneous technology mapping and placement for optimal delay in the tree. We extend the algorithm by employing Lagrangian relaxation technique, which assesses the timing criticality of paths beyond a tree, to optimize the delays in directed acyclic graphs (DAGs). Experimental results on benchmark circuits in a 70 nm technology show that our algorithms improve timing significantly with remarkably less run-times compared to a competitive approach of iterative conventional timing driven mapping and multi-level placement.
Control of the hop height of a one-legged resonance robot
Authors: R. Fernandes, T. Akinfiev, A. Armada
Venue: Automation and Remote Control (2009)

Vertical motions of a resonance leg specially developed for running and hopping robots are considered. The nonstandard drive used that has dual properties and a variable transfer ratio makes it possible to reduce significantly energy expenses. The solution to the problem of control of the hop height for this leg includes the analysis of a physical model and the analytical solutions for the control optimal in time and optimal in energy. The data of experimental investigations are pointed up, which confirm the efficiency of suggested controllers and show the effectiveness of the developed resonance leg.
Serious processing for frivolous purpose: a chatbot using web-mining supported affect analysis and pun generation
Authors: Rafal Rzepka, Wenhan Shi, Michal Ptaszynski, Pawel Dybala, Shinsuke Higuchi, Kenji Araki
Venue: Proceedings of the 13th international conference on Intelligent user interfaces (2009)

By our demonstration we want to introduce our achievements in combining different purpose algorithms to build a chatbot which is able to keep a conversation on any topic. It uses snippets of Internet search results to stay within a context, Nakamura's Emotion Dictionary to detect an emotional load existence and categorization of a textual utterance and a causal consequences retrieval algorithm when emotive features are not found. It is also able to detect a possibility to make a pun by analyzing the input sentence and create one if timing is adequate.
Nonlinear normalization of input patterns to speaker variability in speech recognition neural networks
Authors: Isar Nejadgholi, Seyyed Ali Seyyedsalehi
Venue: Neural Computing and Applications (2009)

The issue of input variability resulting from speaker changes is one of the most crucial factors influencing the effectiveness of speech recognition systems. A solution to this problem is adaptation or normalization of the input, in a way that all the parameters of the input representation are adapted to that of a single speaker, and a kind of normalization is applied to the input pattern against the speaker changes, before recognition. This paper proposes three such methods in which some effects of the speaker changes influencing speech recognition process is compensated. In all three methods, a feed-forward neural network is first trained for mapping the input into codes representing the phonetic classes and speakers. Then, among the 71 speakers used in training, the one who is showing the highest percentage of phone recognition accuracy is selected as the reference speaker so that the representation parameters of the other speakers are converted to the corresponding speech uttered by him. In the first method, the error back-propagation algorithm is used for finding the optimal point of every decision region relating to each phone of each speaker in the input space for all the phones and all the speakers. The distances between these points and the corresponding points related to the reference speaker are employed for offsetting the speaker change effects and the adaptation of the input signal to the reference speaker. In the second method, using the error back-propagation algorithm and maintaining the reference speaker data as the desirable speaker output, we correct all the speech signal frames, i.e., the train and the test datasets, so that they coincide with the corresponding speech of the reference speaker. In the third method, another feed-forward neural network is applied inversely for mapping the phonetic classes and speaker information to the input representation. The phonetic output retrieved from the direct network along with the reference speaker data are given to the inverse network. Using this information, the inverse network yields an estimation of the input representation adapted to the reference speaker. In all three methods, the final speech recognition model is trained using the adapted training data, and is tested by the adapted testing data. Implementing these methods and combining the final network results with un-adapted network based on the highest confidence level, an increase of 2.1, 2.6 and 3% in phone recognition accuracy on the clean speech is obtained from the three methods, respectively.
Spectral moving removal of non-isolated surface outlier clusters
Authors: Jie Shen, David Yoon, David Shehu, Shang-Yeu Chang
Venue: Computer-Aided Design (2009)

In this paper, we propose a new algorithm for the fast removal of non-isolated surface outlier clusters. It consists of three basic components: (a) an intrinsic metric for detecting outliers on the basis of minimum variance principle; (b) bi-means clustering of a normalized histogram; (c) surface propagation for a geometric coherence check. The unique contributions of our approach include (a) a new idea of identifying non-isolated outlier clusters and linking the local spectral property to a global outlier removal process; (b) a modified data clustering scheme with a geometric coherence check. In comparison with existing algorithms, our algorithm is evaluated in terms of the quality and computational cost of outlier removal. Numerical experiments indicate the effectiveness of our approach in the aspects of convergence, accuracy, time and space efficiency.
Futurisk
Authors: Matthijs Van Heijningen
Venue: ACM SIGGRAPH ASIA 2008 computer animation festival (2008)

In a series of futuristic commercials, Rexona deodorant is tested to the limits. The ads are both amusing and visually stimulating, a well-crafted collaboration of 2D and 3D efects.
Modeling, Simulation and Hardware Implementation of an Effective Induction Motor Controller
Authors: J. P. Zhao, J. Liu
Venue: Proceedings of the 2009 International Conference on Computer Modeling and Simulation (2009)

This paper presents the modeling, simulation and hardware implementation of voltage/frequency control of induction motor which is the most widely used in industrial applications. In this paper, the voltage/frequency (V/Hz) control principle is used to the speed controller for 3-phase AC Induction motor. The DSP (TMS320F2812) controller is used to read the stator flux of motor (The AC machine stator flux is equal to the stator voltage). Then, PI controller gives the fitable PWM generation to the motor. The method have been implemented and tested both in simulation and real time conditions. Through compare the simulation and real-time works, it shows that this system make a good performance on the motor control. At the same time, this method does not need to look into induction motor's parameters only one sensor for the stator's flux is used which makes it inexpensive to implement in real time.
Relativity in software engineering measurements
Authors: R. K. Pandey
Venue: ACM SIGSOFT Software Engineering Notes (2009)

Though the relevance of the term relativity in software engineering measurements may appear strange, as the term has been known to have been associated with the name of the famous physicist of the 20thcentury Albert Einstien for his landmark work on the theory of relativity. The basic idea behind the theory of relativity is that since space and time are relative concepts rather than absolute accordingly physical measurements are also relative not absolute, and that is how the principle of length contraction and time dilation were discovered. Somewhat similar phenomenon is observed in the software engineering measurements of various attributes of the software products, software processes and software projects. For example, the value of LOC metric because of no standard definition of line of source code differs from language to language. Similarly Halstead's software science metrics differs depending upon what implementation language is used. In this paper an investigation is made into such aspects of software engineering metrics and their overall impact on the software development activities.
Hybrid-compiled simulation: An efficient technique for instruction-set architecture simulation
Authors: Mehrdad Reshadi, Prabhat Mishra, Nikil Dutt
Venue: ACM Transactions on Embedded Computing Systems (TECS) (2009)

Instruction-set simulators are critical tools for the exploration and validation of new processor architectures. Due to the increasing complexity of architectures and time-to-market pressure, performance is the most important feature of an instruction-set simulator. Interpretive simulators are flexible but slow, whereas compiled simulators deliver speed at the cost of flexibility and compilation overhead. This article presents a hybrid instruction-set-compiled simulation (HISCS) technique for generation of fast instruction-set simulators that combines the benefit of both compiled and interpretive simulation. This article makes two important contributions: (i) it improves the interpretive simulation performance by applying compiled simulation at the instruction level using a novel template-customization technique to generate optimized decoded instructions during compile time; and (ii) it reduces the compile-time overhead by combining the benefits of both static and dynamic-compiled simulation. Our experimental results using two contemporary processors (ARM7 and SPARC) demonstrate an order-of-magnitude reduction in compilation time as well as a 70&percnt; performance improvement, on average, over the best-known published result in instruction-set simulation.
Channel identification and interference compensation for OFDM system in long multipath environment
Authors: L. Sun, A. Sano, W. Sun, A. Kajiwara
Venue: Signal Processing (2009)

Guard interval (GI) is usually applied to reduce the influence caused by multipath interferences in orthogonal frequency division multiplexing (OFDM) systems. However, the long multipath interferences will deteriorate the orthogonality of the sub-carriers if they have longer delay time than GI. It is illustrated that not only inter-symbol interference (ISI) but also inter-carrier interference (ICI) is caused by the collapse of orthogonality in the received signal. As a result, both the channel identification and equalization become difficult, and the communication performance cannot be guaranteed. In this work, a new channel identification algorithm is proposed to estimate the frequency response function from the spectral periodograms which are compensated by the replica of leakage error. Since most of the computation is performed in the frequency domain through fast Fourier transform, the algorithm has such low computational complexity that it can be implemented easily in applications.