ppxscal/embedding_network huggingface dataset:
DynaSpot: speed-dependent area cursor
Authors: Olivier Chapuis, Jean-Baptiste Labrune, Emmanuel Pietriga
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

We present DynaSpot, a new technique for acquiring targets based on the area cursor. DynaSpot couples the cursor's activation area with its speed, behaving like a point cursor at low speed or when motionless. This technique minimizes visual distraction and allows pointing anywhere in empty space without requiring an explicit mode switch, thus enabling users to perform common interactions such as region selections seamlessly. The results of our controlled experiments show that the performance of DynaSpot can be modeled by Fitts' law, and that DynaSpot significantly outperforms the point cursor and achieves, in most conditions, the same level of performance as one of the most promising techniques to date, the Bubble cursor.
A programmable voltage reference design
Authors: R. Ouchen, A. Hamouda, S. Khaldi, N. Bouguechal, R. Arnold, A. Wiener, O. Manck
Venue: Proceedings of the 6th conference on Microelectronics, nanoelectronics, optoelectronics (2007)

The paper emphasizes the circuit innovations of a key analog function realized on the IAD GmbH DLC _2 family chip, a precision programmable voltage reference with superior performance capabilities dedicated for an integrated 10 bits D/A converter. The chip developed in co-operation of IAD and MAZ Brandenburg has been produced with 0.35µm CMOS switched capacitor technology from AMS, it can be used on the one hand within typical power-line applications, such us controlling and management, and the other hand for data communication, such as telephony or internet access. The programmable voltage reference is based on a new design that provides fast programmability between voltages and stable voltage operation from 0.25Vdda to 0.75Vdda. The main objective is to select a design that meets as close as possible criteria related to the chip specification requirements such as reliability, flexibility, and integration area. Consequently, an adequate programmable voltage reference is proposed which is 4 bits decoder-based converter architecture.
Bangla Speech Recognition System Using LPC and ANN
Authors: Anup Kumar Paul, Dipankar Das, Md. Mustafa Kamal
Venue: Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition (2009)

This paper presents the Bangla speech recognition system. Bangla speech recognition system is divided mainly into two major parts. The first part is speech signal processing and the second part is speech pattern recognition technique. The speech processing stage consists of speech starting and end point detection, windowing, filtering, calculating the Linear Predictive Coding(LPC) and Cepstral Coefficients and finally constructing the codebook by vector quantization. The second part consists of pattern recognition system using Artificial Neural Network(ANN). Speech signals are recorded using an audio wave recorder in the normal room environment. The recorded speech signal is passed through the speech starting and end-point detection algorithm to detect the presence of the speech signal and remove the silence and pauses portions of the signals. The resulting signal is then filtered for the removal of unwanted background noise from the speech signals. The filtered signal is then windowed ensuring half frame overlap. After windowing, the speech signal is then subjected to calculate the LPC coefficient and Cepstral coefficient. The feature extractor uses a standard LPC Cepstrum coder, which converts the incoming speech signal into LPC Cepstrum feature space. The Self Organizing Map(SOM) Neural Network makes each variable length LPC trajectory of an isolated word into a fixed length LPC trajectory and thereby making the fixed length feature vector, to be fed into to the recognizer. The structures of the neural network is designed with Multi Layer Perceptron approach and tested with 3, 4, 5 hidden layers using the Transfer functions of Tanh Sigmoid for the Bangla speech recognition system. Comparison among different structures of Neural Networks conducted here for a better understanding of the problem and its possible solutions.
Federal activities in information processing
Authors: John Gentile, Kenneth W. Hunter, Clark R. Renninger, Gordon Yamada
Venue: Proceedings of the May 6-10, 1974, national computer conference and exposition (1974)

Discussion and presentation of responsibilities of various federal agencies as they relate to the federal establishment, intergovernmental relations and the private sector in the area of information processing, especially that of the General Accounting office, the General Services Administration and the National Bureau of Standards in carrying out their missions.
Shore-MT: a scalable storage manager for the multicore era
Authors: Ryan Johnson, Ippokratis Pandis, Nikos Hardavellas, Anastasia Ailamaki, Babak Falsafi
Venue: Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology (2009)

Database storage managers have long been able to efficiently handle multiple concurrent requests. Until recently, however, a computer contained only a few single-core CPUs, and therefore only a few transactions could simultaneously access the storage manager's internal structures. This allowed storage managers to use non-scalable approaches without any penalty. With the arrival of multicore chips, however, this situation is rapidly changing. More and more threads can run in parallel, stressing the internal scalability of the storage manager. Systems optimized for high performance at a limited number of cores are not assured similarly high performance at a higher core count, because unanticipated scalability obstacles arise. We benchmark four popular open-source storage managers (Shore, BerkeleyDB, MySQL, and PostgreSQL) on a modern multicore machine, and find that they all suffer in terms of scalability. We briefly examine the bottlenecks in the various storage engines. We then present Shore-MT, a multithreaded and highly scalable version of Shore which we developed by identifying and successively removing internal bottlenecks. When compared to other DBMS, Shore-MT exhibits superior scalability and 2--4 times higher absolute throughput than its peers. We also show that designers should favor scalability to single-thread performance, and highlight important principles for writing scalable storage engines, illustrated with real examples from the development of Shore-MT.
Implementing national copyright laws: a Jordanian case study
Authors: Fawzi Mulki
Venue: Proceedings of the 2nd International Conference on Theory and Practice of Electronic Governance (2008)

Intellectual property is a major commodity being produced and shared throughout the world. Advancements in technologies coupled with globalization efforts have allowed such property to easily cross geographical boundaries. Various international treaties and national laws have been set in place to ensure intellectual property owners of their rights. This paper reports the results of an exploratory investigation into the major challenges and returns resulting from the implementation of a national copyright law in Jordan. The paper begins by providing the reader with an overview of Jordan in relation to copyrights. This study relied on both primary and secondary data. The challenges associated with such a law were categorized into implementation, cultural, and socio-economic factors. Respondents identified monetary returns, strategic outcomes, and creative stimulation as key returns resulting from enforcing the law. Finally, the data illustrated that public education and awareness campaigns, and training programs are essential to the success of such a law.
On the approximation error in high dimensional model representation
Authors: Xiaoqun Wang
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

Mathematical models are often described by multivariate functions, which are usually approximated by a sum of lower dimensional functions. A major problem is the approximation error introduced and the factors that affect it. This paper investigates the error of approximating a multivariate function by a sum of lower dimensional functions in the setting of high dimensional model representations. Two kinds of approximations are studied, namely, the approximation based on the ANOVA (analysis of variance) decomposition and the approximation based on the anchored decomposition. We prove new theorems for the expected errors of approximations based on anchored decomposition when the anchor is chosen randomly and establish the relationship of the expected approximation errors with the global sensitivity indices of Sobol'. The expected approximation error give indications on how good or how bad could be the approximation based on anchored decomposition and when the approximation is good or bad. The influence of the anchor on the goodness of approximation is studied. Methods for choosing good anchors are presented.
Conquest in Cyberspace: National Security and Information Warfare, 1st edition
Authors: Martin C. Libicki
Venue:  (2007)

With billions of computers in existence, cyberspace, 'the virtual world created when they are connected,' is said to be the new medium of power. Computer hackers operating from anywhere can enter cyberspace and take control of other people's computers, stealing their information, corrupting their workings, and shutting them down. Modern societies and militaries, both pervaded by computers, are supposedly at risk. As Conquest in Cyberspace explains, however, information systems and information itself are too easily conflated, and persistent mastery over the former is difficult to achieve. 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
The Transformation of Fuzzy Error Set in a System Intelligent Decision Making
Authors: Xiong Haiou, Huang Jize, Guo Kaizhong
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

In the process of studying Error-elimination, we discovered that error set not only includes classical error set, but also involves fuzzy error set. this paper mainly studies the transformation of fuzzy error set in the views of Fuzzy Mathematics, which provides the definition of fuzzy error set, the relationships between fuzzy error set (equality, subset and smaller etc.), the operations of fuzzy error set (union, intersection, and complement etc.) and methods to transform it.
Memory Dump Analysis Anthology, Volume 2
Authors: Dmitry Vostokov
Venue:  (2008)

This is a revised, edited, cross-referenced and thematically organized volume of selected DumpAnalysis.org blog posts about crash dump analysis and debugging written in January - September 2008 for software engineers developing and maintaining products on Windows platforms, quality assurance engineers testing software on Windows platforms and technical support and escalation engineers dealing with complex software issues. The second volume features:- 45 new crash dump analysis patterns - Pattern interaction and case studies - Updated checklist - Fully cross-referenced with Volume 1 - New appendixes
Silicon&#x2013;glass instrumented solid-phase extraction&#x2013;zone electrophoresis microchip with thin amorphous silicon film electrodes: performance in immunoaffinity analysis
Authors: Ari Hokkanen, Heli Sir&#x00e9;n, Lotta K. Amundsen, Kai Kolari, Sami Franssila, Santeri Tuomikoski, Ingmar Stuns, Stella Rovio, Tarja K. Nevanen, Kristiina Takkinen, Hans S&#x00f6;derlund
Venue: Microsystem Technologies (2009)

Silicon&#x2013;glass microchips were designed and fabricated for on-chip solid phase extraction (SPE) and zone electrophoresis studies. The solvent channels for extraction and the separation channels for analyses were fabricated sequentially on the silicon device. Electrical contacts were integrated in a fused silica glass lid. Amorphous silicon thin film electrodes were fabricated for high voltage and conductivity detection. A chip installation rack with electrical and fluidic contacts was constructed to facilitate the experiments. Simulation was used to elucidate both the liquid flow and the electric field distribution. The operational performance of the microchips was demonstrated by using a fluorescein isothiocyanate (FITC)-labelled testosterone derivative as the model analyte and fluorescein as both the negative control and the calibration compounds. In SPE an immunosorbent, based on recombinant anti-testosterone Fab-fragments, was immobilized to activated Sepharose gel. Simultaneous monitoring of the movement of FITC-testosterone from SPE cavity through the channel to the detection point was performed with a laser-induced fluorescence detector. The observed limit of detection for FITC-testosterone was 2&#x00a0;&#x03bc;M.
"structured creature": a prototype of moving space structure
Authors: Yosuke Ushigome, Kunihiro Nishimura, Michitaka Hirose
Venue: Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology (2008)

This paper provides an introduction of a prototype of moving space structure that can interact with humans like sound or light. This work, named "structured creature" is a so flexible structure that it gives a strong presage of the future where physical space completely corresponds to the subjective space that people perceive. "structured creature" wriggles slowly, rising and collapsing repetitively. This movement is derived from its own structure. This structure, called "tensegrity", was invented by Buckminster Fuller. Only the equilibrium state between tension and compression is needed to realize a tensegrity structure. Thus, "structured creature" transforms by changing the internal tension with artificial muscles that are implemented to some tensional components.
Dimensionality reduction for similarity search with the Euclidean distance in high-dimensional applications
Authors: Seungdo Jeong, Sang-Wook Kim, Byung-Uk Choi
Venue: Multimedia Tools and Applications (2009)

In multimedia information retrieval, multimedia data are represented as vectors in high-dimensional space. To search these vectors efficiently, a variety of indexing methods have been proposed. However, the performance of these indexing methods degrades dramatically with increasing dimensionality, which is known as the dimensionality curse. To resolve the dimensionality curse, dimensionality reduction methods have been proposed. They map feature vectors in high-dimensional space into vectors in low-dimensional space before the data are indexed. This paper proposes a novel method for dimensionality reduction based on a function that approximates the Euclidean distance based on the norm and angle components of a vector. First, we identify the causes of, and discuss basic solutions to, errors in angle approximation during the approximation of the Euclidean distance. Then, this paper propose a new method for dimensionality reduction that extracts a set of subvectors from a feature vector and maintains only the norm and the approximated angle for every subvector. The selection of a good reference vector is crucial for accurate approximation of the angle component. We present criteria for being a good reference vector, and propose a method that chooses a good reference vector. Also, we define a novel distance function using the norm and angle components, and formally prove that the distance function consistently lower-bounds the Euclidean distance. This implies information retrieval with this function does not incur any false dismissals. Finally, the superiority of the proposed approach is verified via extensive experiments with synthetic and real-life data sets.
Variational Gaussian Mixture Models for Speech Emotion Recognition
Authors: Harendra Kumar Mishra, C. Chandra Sekhar
Venue: Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition (2009)

In this paper applicability of variational methods for estimation of parameters of models used for speech emotion recognition is discussed.When the amount of data available is not adequate for training complex models, variational Bayesian method helps in training models with less amount of data. It also helps in determining the optimal complexity of the model. Our studies on Berlin emotional speech database show that variational methods perform better than maximum likelihood approach to estimate parameters of Gaussian mixture models used in speech emotion recognition.
Frequent Manipulability of Elections: The Case of Two Voters
Authors: Shahar Dobzinski, Ariel D. Procaccia
Venue: Proceedings of the 4th International Workshop on Internet and Network Economics (2008)

The recent result of Friedgut, Kalai and Nisan [9] gives a quantitative version of the Gibbard-Satterthwaite Theorem regarding manipulation in elections, but holds only for neutral social choice functions and three alternatives. We complement their theorem by proving a similar result regarding Pareto-Optimal social choice functions when the number of voters is two. We discuss the implications of our results with respect to the agenda of precluding manipulation in elections by means of computational hardness.
The design of Khmer word-based predictive non-QWERTY soft keyboard for stylus-based devices
Authors: Phavy Ouk, Ye Kyaw Thu, Mitsuji Matsumoto, Yoshiyori Urano
Venue: Proceedings of the 2008 IEEE Symposium on Visual Languages and Human-Centric Computing (2008)

We introduce a first ever soft keyboard for stylus-based devices such as Personal Digital Assistant (PDA) for Khmer, official language of Cambodia. The contribution of this study is twofold — a key layout arrangement and a word-based predictive text entry method. First, we design a non-QWERTY key layout in which consonants and vowels are grouped phonetically and orthographically, respectively. As a result, the number of soft keys is much less than that of Khmer character sets. Second, we present a word-based predictive text entry method based on the careful analysis of the structure of Khmer word composition. In spite of the word-based predictive mechanism, this soft keyboard provides as well the ability to input unknown words without swapping to other modes. A prototype has been developed and preliminary experiment shows that the proposed soft keyboard is user-friendly easy to use with little training. In addition to the application to stylus-based devices, it can also be extended to be a soft keyboard for conventional desktop.
Mathematical modeling and simulation in Matlab/Simulink of processes from iron ore sintering plants
Authors: Corina Maria Dinis, Gabriel Nicolae Popa, Angela Iagar
Venue: WSEAS TRANSACTIONS on SYSTEMS (2009)

This work presents the mathematic models of the basic processes from an iron ore processing plant. Based on the mathematic models, using the Matlab/Simulink platform, it was achieved the simulation of the dosing process and simulation of the sintering process. The achieved mathematic model allows the determination of the material flows in the charge at their chemical composition variation, or at the variation of the reference values of the parameters S, I, r0, c0. Further the simulation, there are obtained the time-variations of the optimal speed for the sintering machine at different distributions of iron ore's temperatures on the sintering band.
Multimedia Information Interchange: Web Forms Meet Data Servers
Authors: Pierre Maret, Paul Rubel, Jean Beney
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

The increasing use of the Internet technology and of web servers and services has pushed several organisations to automate the access to their services and their data collection processes by using HTML form-guided dialogs. A large part of the information collected by these HTML forms already exists in the Information System of the web client, but today's form filling procedures suppose to fill forms "by hand". We propose in this paper a generic middleware program located on the client side and dedicated to automatically fill the data fields of the HTML forms by picking up the required data from the local Information System. A key feature of our middleware is that it runs without any prerequisite on the server side. We initially developed our approach for the medical assistance domain to support a decision making for remote patients and to improve the continuity of care. This application domain however is not restrictive and our approach may be easily used in other domains.
Technical strategies for massive model visualization
Authors: Enrico Gobbetti, Dave Kasik, Sung-eui Yoon
Venue: ACM SIGGRAPH ASIA 2008 courses (2008)

Interactive visualization of massive models still remains a challenging problem. This is mainly due to a combination of ever increasing model complexity with the current hardware design trend that leads to a widening gap between slow data access speed and fast data processing speed. We argue that developing efficient data access and data management techniques is key in solving the problem of interactive visualization of massive models. Particularly, we discuss visibility culling, simplification, cache-coherent layouts, and data compression techniques as efficient data management techniques that enable interactive visualization of massive models.
Diffusion Approximation Model of Multiserver Stations with Losses
Authors: Tadeusz Czachórski, Jean-Michel Fourneau, Tomasz Nycz, Ferhan Pekergin
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

The article presents a diffusion approximation model of a G/G/N/N station -N parallel servers without queueing. Diffusion approximation allows us to include in queueing models fairly general assumptions. First of all it gives us a tool to consider in a natural way transient states of queues, which is very rare in classical queueing models. Then we may consider input streams with general interarrival time distributions and servers with general service time distributions. Single server models may be easily incorporated into a network of queues. Here, we apply the diffusion approximation formalism to study transient behaviour of G/G/N/N station and use it to construct a model of a typical call centre and to study the sliding window mechanism, a popular Call Admission Control (CAC) algorithm.
Secure Wireless Network in Quadrilateral Region
Authors: M. Sattari, M. Reza Salehnamadi, S. Mortezaiefard
Venue: Proceedings of the 2009 Third International Conference on Digital Society (2009)

According to circular range of antenna broadcasting, The usual shape of environment is circular, but most of companies and establishments have a quadrilateral region. In some applications like as military or research company, It is important that nobody out of region, can access to their network. In other word, network services must be valid only inside the region. There are some techniques to be in this situation. The novelty of this paper is: 1) distinguish the position of users at region, 2) making a quadrilateral region for wireless environment (rather than circular). Two basic techniques are used to reduce the cost of this feature, and both of them use snoopy method. This technique can reduce DoS and active search effect at security.