ppxscal/embedding_network huggingface dataset:
The perceptual influences on gait transition of step parameters and optic flow in virtual environment locomotion simulators
Authors: Huan Dong, Adar Pelah, Jonathan Cameron, Joan Lasenby
Venue: Proceedings of the 5th symposium on Applied perception in graphics and visualization (2008)

Simulation of natural locomotion in virtual environments requires an understanding of self-motion perception derived from both gait and sensory parameters. The walk-run transition (WRT) is a clearly-defined physical gait descriptor that emerges largely from a user's assessment of their own speed. The WRT depends not only on the biomechanics, kinetics and energetics of gait, but also on perceptual and cognitive factors, such as optic flow [Mohler et al. 2004; 2007], attention [Pelah et al 2006] and step frequency [Durgin et al 2007]. To further investigate gait transitions and the mechanisms for perception of self motion speed, 15 subjects were required to advance at prescribed step frequencies with increasing speeds on a treadmill, with or without optic flow, in a large-screen virtual environment. WRT speed reached its highest value at approximately 145 steps/min (0.61 Fr) for all conditions, decreasing at higher step frequencies. Above this frequency, optic flow reduced WRT speeds as step frequency increased, suggesting an enhancement of visuomotor interactions in locomotion simulators due to step frequency being forced beyond the natural step frequency range.
DFT study on the stereoisomeric effect of amino-acid side chain on the formation of penta-coordinate phosphorus carboxylic-phosphoric mixed anhydride
Authors: Li-Jiao Zhao, Ru-Gang Zhong, Yan Zhen
Venue: Proceedings of the 1st WSEAS International Conference on Computational Chemistry (2007)

N-phosphorylamino-acids can self-catalyze and self-assemble into polypeptides and polynuleotides under mild condition. Both experimental and theoretical studies have shown that a pentacoordinate phosphorus intermolecular mixed carboxylic-phosphoric anhydride (IMCPA) is formed as the common intermediate in these reactions. In this paper, the mechanism of the formation of stereoisomeric penta-coordinate intermediates through different stereochemical reaction pathway is studied at B3LYP/6-311+G(d,p) level. The results show that amino-acid side chains have an obvious effect on the stereochemical specificity of the IMCPAs formation from N-phosphorylamino-acids.
Post-silicon programmed body-biasing platform suppressing device variability in 45 nm CMOS technology
Authors: Hiroaki Suzuki, Masanori Kurimoto, Tadao Yamanaka, Hidehiro Takata, Hiroshi Makino, Hirofumi Shinohara
Venue: Proceeding of the 13th international symposium on Low power electronics and design (2008)

The Post-Silicon Programmed Body-Biasing Platform is proposed to suppress device variability in the 45-nm CMOS technology era. The proposed platform measures device speed during post-fabrication testing. Then the fast die is marked so that the body-bias circuit turns on and reduces leakage current of the die that is selected and marked in a user application. Because the slow die around the speed specifications of a product is not body-biased, the product runs as fast as a normal non-body-biasing product. Although the leakage power of a fast die is reduced, the speed specification does not change. The proposed platform improves the worst corner specification comprising the two worst cases of speed and leakage power. The test chip, fabricated using 45-nm technology, improves the worst corner of stand-by leakage power vs. speed by 70%.
Asap: a planning tool for agile software development
Authors: Rasmus Rosenqvist Petersen, Uffe Kock Wiil
Venue: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia (2008)

This paper describes the ASAP planning tool. ASAP uses different hypertext structuring mechanisms to provide support for project planning. The design concepts and prototype features are inspired from previous work on structural computing and spatial hypertext. A use scenario demonstrates the capabilities of the tool to support the Blitz Planning activity from the Crystal Clear agile software development methodology. Future work is aimed at broadening the applicability of ASAP towards general project planning.
Engineering models and software quality models: an example and a discussion
Authors: Paolo Salvaneschi, Ugo Piazzalunga
Venue: Proceedings of the 2008 international workshop on Models in software engineering (2008)

The paper compares the models used for software quality evaluation to the modelling approach of other engineering fields. The conclusion is that, while large efforts have been devoted to the definition of measurable attributes and related measures, product models specifically developed for measuring quality characteristics are until now not sufficiently explored. We explore the concept of "quality-oriented specialized product models" and we claim that this is an important ingredient for an engineering approach to the software quality measurement. We describe an example of this type of models for measuring the security of a specific type of copy protection mechanisms. The model forecasts the amount of time a hypothetical attacker would need to break the protection.
Wireless sensor networks based on the generalized approach to signal processing with fading channels and receive antenna array
Authors: Vyacheslav Tuzlukov, Won-Sik Yoon, Yong Deak Kim
Venue: Proceedings of the 4th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision (2004)

We consider M-ary wireless sensor network based on the generalized approach to signal processing in the presence of noise [1-5] with K sensor nodes over a space diversity channel, consisting of a single transmit antenna for each sensor node and multiple receive antennas. We examine the phase coherent wavefront fading model. In the case of wavefront fading, the fade is constant across the face of the receive antenna and we can associate an angle of arrival to the signal. We present a variation of the mutiple-signal classification (MUSIC) algorithm [6] for estimating this parameter and use it to form a spatial beam. We develop the detection strategy based on the generalized approach to signal processing in noise. We then consider blind extensions of the generalized detector based on subspace tracking, which do not require a prior model for the interfering sensor node's signals.
Geometry-adaptive generation algorithm and boundary match method for initial hexahedral element mesh
Authors: Guoqun Zhao, Hongmei Zhang, Lianjun Cheng
Venue: Engineering with Computers (2008)

The models for finite element analysis usually have a number of complex geometric features such as holes, slots, and curved surfaces, etc. The exact description of these features is crucial to the accuracy of finite element analysis. This paper presents an algorithm for the adaptive generation of the initial hexahedral element mesh based on the geometric features of the solid model. This algorithm is a modified grid-based method, in which a new geometry-adaptive hexahedral mesh generation method and a new mesh boundary matching method called threading method are established and employed. Firstly, an initial grid structure, which is uniformly sized or locally refined and encompasses the solid model completely, is generated based on the geometric features of the solid model. Then, an initial indention mesh is generated after removing all the elements in the exterior of the solid model using the even-odd rule. The surface of the indention mesh, which is adaptively generated based on the geometric features, is so complicated and different in size that the match of the edges and surface to the surface of the solid model becomes inconvenient. In this case, the closest position tracing approach used widely is difficult to realize an accurate match. The threading method proposed in this paper can accurately match the boundaries of the indention mesh to the boundaries of the solid model. Especially, it is fit for the generation of the geometry-adaptive mesh and avoids the recurrent search process of characteristic boundary nodes in the closest position tracing method. So the efficiency of the finite element mesh generation is enhanced remarkably. The principles and procedures of the algorithm are illustrated through the geometry-adaptive hexahedral mesh generation of a typical three-dimensional solid model. The effectiveness and robustness of the algorithm are tested by several applications in the complex solid models.
Full abstraction for nondeterministic dataflow networks
Authors: J. R. Russell
Venue: Proceedings of the 30th Annual Symposium on Foundations of Computer Science (1989)

The problem of finding fully abstract semantic models for nondeterministic dataflow networks is discussed. The author presents a result indicating that there exist nondeterministic networks using only bounded choice for which the input-output relation is not compositional. It is shown that the trace semantics is fully abstract for all nondeterministic as well as deterministic networks.
Automatic Segmentation of Nasopharyngeal Carcinoma from CT Images
Authors: Panrasee Ritthipravat, Chanon Tatanun, Thongchai Bhongmakapat, Lojana Tuntiyatorn
Venue: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 02 (2008)

This paper presents an automatic segmentation technique for identifying nasopharyngeal carcinoma regions in CT images. The proposed technique is based on the region growing method by which an initial seed is automatically generated. A probabilistic map representing a chance of being the tumor pixel in each CT image will be created and used for initial seed determination. This map is generated from three probabilistic functions established upon location of the tumor considered, intensities of the tumor pixels, and asymmetry of organs respectively. A representative of potential tumor pixels will be selected as an initial seed. The experimental results showed that seeds were correctly determined with the percent accuracy of 84.32%. These seeds were grown in preprocessed CT images for identifying the nasopharyngeal carcinoma regions subsequently. The results showed that, for no metastasis cases, perfect match and corresponding ratio were 85.03% and 52.44% respectively and 29.26% and 28.03% correspondingly for metastasis cases. This resulted from a single seed generated in each CT image. It was unable to identify more than one tumor region.
Component engineering for adaptive ad-hoc systems
Authors: Christian Peper, Daniel Schneider
Venue: Proceedings of the 2008 international workshop on Software engineering for adaptive and self-managing systems (2008)

Dynamic computing systems with small, distributed, and communicating embedded devices, as they are expected for the future, must be able to manage appearance and loss of devices and resources. For the development of static systems, component-oriented engineering approaches have been shown to foster well-structured, configurable systems. Frameworks for the dynamic integration of such components often rely on a centralized component integration platform, containing service brokers and similar. This paper describes several aspects of a component-oriented approach for the development of dynamic-adaptive systems that distributes all needed infrastructure among the participating embedded devices. This results in a runtime framework working whenever two components come together and form an ad-hoc system.
The collaborative organization of knowledge
Authors: Diomidis Spinellis, Panagiotis Louridas
Venue: Communications of the ACM (2008)

Why Wikipedia's remarkable growth is sustainable.
Software defect repair times: a multiplicative model
Authors: Swapna S. Gokhale, Robert Mullen
Venue: Proceedings of the 4th international workshop on Predictor models in software engineering (2008)

We analyzed over 10,000 software defect repair times collected for nine products at Cisco Systems, to confirm our hypothesis that software defect repair times can be characterized by the Laplace Transform of the Lognormal (LTLN) distribution. This hypothesis originated from the observation that software defect repair times are influenced by the multiplicative interplay of several factors. The Lognormal distribution is a natural choice to model rates of occurrence of such phenomenon. Conversion of the Lognormal rate distribution to an occurrence time distribution yields the LTLN. Our results also confirm that the LTLN distribution provides a statistically better fit to the observed repair times than either of the two most widely used repair time distributions, the lognormal and the exponential.
A parallel algorithm based on a variant of the Kalman filter for solving the RLS problem
Authors: F. J. Martínez Zaldívar, A. M. Vidal Maciá, A. González Salvador
Venue: Proceedings of the 4th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision (2004)

This article describes a parallel algorithm for solving the Recursive Least Squares (RLS) problem. It is based on a variant of the Kalman Filter named the square root and extended version Information Filter. This algorithm is suitable to be implemented as either a distributed memory or a shared memory or a mixed parallel algorithm and is oriented to be used in real time applications.
Stochastic Generation of Discrete-Event Simulation Models
Authors: Daniel Huber, Markus Eberling, Christoph Laroque, Wilhelm Dangelmaier
Venue: Proceedings of the Tenth International Conference on Computer Modeling and Simulation (2008)

We present a stochastic model generator for creating discrete event simulation models. The size, structure, layout and behavior of the generated model can be parameterized. By using stochastic techniques in all sections of the generation process a huge number of different models can be created. These models are to be used to test and validate new methods in automatic model abstraction and simulation visualization. We illustrate thefunctionality of the generator by describing detailed algorithms, which can be used to generate models for common discrete event simulation tools. In the end of the paper we present results of an implementation in the simulation tool d3FACT insight which demonstrates the applicability of the generator.
E = MC2 + 1: a fully digital, collaborative, high-definition (HD) production from scene to screen
Authors: Artur Lugmayr, Hornsby Adrian, Piotr Golebiowski, Satu Jumisko-Pyykko, Fernando Ubis, Simon Reymann, Volker Bruns, Asta Kybartaite, Jarkko Kauranen, Dirk Matthes
Venue: Computers in Entertainment (CIE) (2008)

This article presents a unique course for students, the course took place at the Tampere University of Technology (TUT) in the NAMU --- New AMbient MUltimedia research group. The basic idea was to create a five-minute production involving all the new technology available to the modern film-maker. We want to prove that even a non-experienced team of film-makers are capable of creating a short HD film with (almost) commonly available equipment. A full high-definition (HD) digital workflow was undertaken --- from scene to screen. In each production step, new technologies and approaches were tested to explore the world of digital film-making. In pre-production the movie-script was written collaboratively with Wiki tools. The participants' experience was evaluated, and the results are presented in this article. In production we focused on HD methods to create content and applied the Material eXchange Format (MXF) to handle metadata in production; the final movie was distributed via typical television channels, such as DVB-T, IP-TV, and DVB-H. The experimental results are presented in this article as well. In this article we present our experience in terms of technology, introduce a learning-by-doing concept during course development, and give a complete analysis of a full digital HD workflow.
Interaction of α radiation with iron-doped n-type silicon
Authors: Khizar-ul-Haq, M. A. Khan, U. S. Qurashi, Abdul Majid
Venue: Microelectronics Journal (2008)

Deep-level transient spectroscopy (DLTS) measurements were carried out on low-doped n-silicon before and after irradiation with 5.48MeV @a particles at room temperature with a fluence of ~10^1^0@a particles/cm^2. The DLTS measurements on the samples identified three electron levels E"1, E"2 and E"3 before irradiation. The deep-levels characteristic studies include emission rate signatures, activation energies, defect concentrations and capture cross sections. It was found that all pre-existing defects decreased their amplitudes during irradiation. The decrease in activation energy of level E"3 and noticeable suppression of level E"1 was also observed after irradiation. It was clearly seen that the composite peak E"3 (combination of E"2 and E"3) was successfully resolved after irradiating with @a particles. @a-irradiation is seen to lead a significant suppression of the iron interstitial defect, and without causing any change in its room temperature annealing characteristics.
Can P2P become a disruptive technology to enterprise data processing?
Authors: Beng Chin Ooi
Venue: Proceedings of the nineteenth conference on Australasian database - Volume 75 (2008)

P2P (peer-to-peer) computing, despite the hype surrounding it for the last decade, has not been exploited in corporate network and business applications. One of the main reasons is that it has not been able to satisfy the needs of enterprise-quality data-intensive applications. In this talk, I shall re-examine the research issues that need to be addressed in order to make P2P systems usable in corporate networks. I will also discuss my ongoing work in this area. 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
ETAHM: an energy-aware task allocation algorithm for heterogeneous multiprocessor
Authors: Po-Chun Chang, I-Wei Wu, Jyh-Jiun Shann, Chung-Ping Chung
Venue: Proceedings of the 45th annual Design Automation Conference (2008)

In demand of more computing power and less energy use, multiprocessor with power management facility emerges in embedded system design recently. Dynamic Voltage Scaling is such a facility that varies clock speed and supply voltage to save more energy. In this paper, we propose ETAHM to allocate tasks on a target multiprocessor system. In pursuit of global optimal solution, it mixes task scheduling, mapping and DVS utilization in one phase and couples ant colony optimization algorithm. Extensive experiments show ETAHM could save 22.71% more energy than CASPER [1], a state-of-the-art integrated framework that tackles the identical problem with genetic algorithm instead.
Real-Time Implementation of Fault Detection in Wireless Sensor Networks Using Neural Networks
Authors: John W. Barron, Azzam I. Moustapha, Rastko R. Selmic
Venue: Proceedings of the Fifth International Conference on Information Technology: New Generations (2008)

This paper presents the real-time implementation of a neural network-based fault detection for wireless sensor networks (WSNs). The method is implemented on TinyOS operating system. A collection tree network is formed and multi-hoping data is sent to the base station root. Nodes take environmental measurements every N seconds while neighboring nodes overhear the measurement as it is being forwarded to the base station and record it. After nodes complete M and receive/store M measurements from each neighboring node, recurrent neural networks (RNNs) are used to model the sensor node, the node’s dynamics, and interconnections with neighboring nodes. The physical measurement is compared against the predicted value and a given threshold of error to determine sensor fault. By simply overhearing network traffic, this implementation uses no extra bandwidth or radio broadcast power. The only cost of the approach is battery power required to power the receiver to overhear packets and MCU processor time to train the RNN.
Static Analysis of the Disassembly against Malicious Code Obfuscated with Conditional Jumps
Authors: Chao Dai, Jianmin Pang, Rongcai Zhao, Xiaojun Ma
Venue: Proceedings of the Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008) (2008)

With the application of information technology and network, malicious codes have become a main threat to the computer security. In order to avoid being analyzed statically, malicious codes resort to various obfuscation techniques to hide themselves. Conditional jumps obfuscation is just such a kind of technique. In this paper, we introduce four forms of conditional jumps obfuscation which could confuse both of the two commonly used disassembly algorithms. Their basic idea is that two elaborate constructed conditional jump instructions are semantically equivalent to one unconditional jump. We propose a modified algorithm to crack the obfuscation. And we implement our idea in our reverse analysis tool Radux (Reverse Analysis for Detecting Unsafe eXecutables). Last we compare the disassembly output of Radux with objdump and IDApro. Relevant tests show that our implementation is effective.
Performance Analysis of DSR & Extended DSR Protocols
Authors: Shakeel Ahmad, Irfan Awan, Athar Waqqas, Bashir Ahmad
Venue: Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS) (2008)

Ad hoc network is group of wireless nodes to establish a network without any fixed infrastructure or centralized supervision/management. In such a network, topology changes dynamically and due to limitations of bandwidth, transmission range and power routing becomes an important issue. A lot of work has been done in field of routing in ad-hoc network since 1990. Dynamic Source Routing protocol (DSR) provides simple and efficient routing for multihop ad-hoc network of mobile nodes. This paper presents a simulation based performance analysis and comparison between traditional DSR and extended DSR. It utilises a specially designed framework which builds on the Global Mobile Information System Simulator (GloMoSim). Some optimizations of DSR have already been implemented in GloMoSim. Several different simulation results show that performance got better by traditional (already implemented) DSR.
Artificial cloning applied to industrial process control
Authors: Antonio F. Muñoz Moner, Aldo Pardo G.
Venue: Proceedings of the 9th WSEAS International Conference on Systems (2005)

This work presents an artificial cloning technology for sensors used in industrial process control, using neural networks and genetic mapping. Neural networks allow developing the sensors intelligent structure and the random activation weights method is used to achieve the learning, starting from real devices information. The genetic mapping allows the codes generation for the cloning procedure; mutation, crossover and inversion operators are also used. The efficiency of the proposed technology has been illustrated with a cloned sensor example to determine the viscosity index for lubricant oils with phenol in an industrial process.
Surface modification on plating-based Cu/Sn/0.7Cu lead-free copper pillars by using polishing
Authors: Hou jun Hsu, Jung Tang Huang, Pe Shan Chao, Sheng Hsiung Shih
Venue: Microelectronic Engineering (2008)

Thus far, no any effective countermeasure against plating-induced poor uniformity exists in the global packaging market. In this paper, we aim to develop an effective polishing process to improve the poor uniformity existing in advanced double-layer copper pillars. After polishing, the wafer and chip uniformities of copper pillars could be reduced from the original values of 6.8-3.5% and 2.9-0.9%; after reflow, the wafer and chip uniformities of copper pillars reached 3.0% and 1.7%. Excellent uniformity in copper pillars ensures accurate joints, good reliability, high yields, and flexible layouts.