ppxscal/embedding_network huggingface dataset:
Machine learning for HIV-1 protease cleavage site prediction
Authors: Alessandra Lumini, Loris Nanni
Venue: Pattern Recognition Letters (2006)

Recently, several works have approached the HIV-1 protease specificity problem by applying a number of classifier creation and combination methods, known as ensemble methods, from the field of machine learning. However, it is still difficult for researchers to choose the best method due to the lack of an effective comparison. For the first time we have made an extensive study on methods for feature extraction, feature transformation and multiclassifier systems (MCS) in the problem of HIV-1 protease. In this work we report an experimental comparison on several learning systems coupled with different feature representations. We confirm previous results stating that linear classifiers obtain higher performance than non-linear classifiers using orthonormal encoding, but we also show that using Karhunen-Loeve transform the performance of neural networks are comparable to one of linear support vector machines. Finally we propose a new hierarchical approach that, for the first time, combines ideas derived from the machine learning methodologies and from a knowledge base of this particular problem. This approach proves to be a successful attempt to obtain a drastically error reduction with respect to the performance of linear classifiers: the error rate decreases from 9.1% using linear-SVM to 6.6% using our new hierarchical classifier based on some pattern rules.
A Simple High-Speed Multiplier Design
Authors: Jung-Yup Kang, Jean-Luc Gaudiot
Venue: IEEE Transactions on Computers (2006)

The performance of multiplication is crucial for multimedia applications such as 3D graphics and signal processing systems, which depend on the execution of large numbers of multiplications. Previously reported algorithms mainly focused on rapidly reducing the partial products rows down to final sums and carries used for the final accumulation. These techniques mostly rely on circuit optimization and minimization of the critical paths. In this paper, an algorithm to achieve fast multiplication in two's complement representation is presented. Rather than focusing on reducing the partial products rows down to final sums and carries, our approach strives to generate fewer partial products rows. In turn, this influences the speed of the multiplication, even before applying partial products reduction techniques. Fewer partial products rows are produced, thereby lowering the overall operation time. In addition to the speed improvement, our algorithm results in a true diamond-shape for the partial product tree, which is more efficient in terms of implementation. The synthesis results of our multiplication algorithm using the Artisan TSMC 0.13um 1.2-Volt standard-cell library show 13 percent improvement in speed and 14 percent improvement in power savings for 8-bit \times 8-bit multiplications (10 percent and 3 percent, respectively, for 16-bit \times 16-bit multiplications) when compared to conventional multiplication algorithms.
Effects of Form Familiarity on Perception of Words, Pseudowords, and Nonwords in the Two Cerebral Hemispheres
Authors: Timothy R. Jordan, Michelle Redwood, Geoffrey R. Patching
Venue: Journal of Cognitive Neuroscience (2003)

Previous investigations of hemispheric processes of word perception provide a mixed picture of the sensitivity of each hemisphere to the familiarity of the visual form of lateralized displays. We investigated this issue by presenting words, pseudowords, and nonwords briefly to either the left (LH) or right (RH) hemisphere in lowercase, uppercase, and a matched, unfamiliar mixed-case form, and used an eye tracker to ensure central fixation and the Reicher-Wheeler task to suppress influences of stimulus asymmetry. Familiarity of form exerted a substantial effect on perception. In particular, perception of LH and RH displays of words, pseudowords, and nonwords was least accurate for mixed case, intermediate for upper case, and most accurate for lowercase. However, form had no effect on the LH advantage observed for words, pseudowords, and nonwords, indicating that form affected processing in both hemispheres to a similar extent. Moreover, LH and RH displays both showed that mixed case disrupted performance most for words, and more for pseudowords than for nonwords, indicating the sensitivity to form shown by each hemisphere reflected more than a general perceptual process. Implications for the role of form familiarity in hemispheric processing of words are discussed.
Paradoxical Interhemispheric Summation in the Split Brain
Authors: Michael C. Corballis, Jeff P. Hamm, Kylie J. Barnett, Paul M. Corballis
Venue: Journal of Cognitive Neuroscience (2002)

We measured simple reaction time (RT) to light flashes, presented either singly or in pairs, in two people who had undergone callosotomy, one person with agenesis of the corpus callosum, and 17 normal subjects. The three split-brained subjects' RTs were decreased to bilateral pairs beyond predictions based on a simple race between independent unilateral processes, while those of the normal subjects were actually longer than predicted by the race model. This effect was present whether the bilateral pairs were in mirror-image locations or not, but was not present when the pairs were presented unilaterally. Since summation does not depend on close spatial correspondence, and also occurs when inputs are staggered in time, we suggest that it is due to cortical projection to a subcortical arousal system, and is normally inhibited by the corpus callosum.
Collaborative Scheduling Using JMS in a Mixed Java and .NET Environment
Authors: Y.-F. Wang, A. Wax, R. Lam, J. Baldwin, C. Borden
Venue: Proceedings of the 2nd IEEE International Conference on Space Mission Challenges for Information Technology (2006)

A collaborative framework/environment was prototyped to prove the feasibility of scheduling space flight missions on NASA's Deep Space Network (DSN) in a distributed fashion. In this environment, effective collaboration relies on efficient communications among all flight mission and DSN scheduling users. Therefore, messaging becomes critical to timely event notification and data synchronization. In the prototype, a rapid messaging system using Java Message Service (JMS) in a mixed Java and .NET environment is established. This scheme allows both Java and .NET applications to communicate with each other for data synchronization and schedule negotiation. The JMS approach we used is based on a centralized messaging scheme. With proper use of a high speed messaging system, all users in this collaborative framework can communicate with each other to generate a schedule collaboratively to meet DSN and projects tracking needs.
Successive projections-like algorithms for signal approximation/zero-error modelling
Authors: S. Chretien, I. Dologlou
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02 (1995)

We show how successive projection-like algorithms may be used for approximation or exact modelling of a signal. For this purpose, we propose a new efficient algorithm providing adequate linear difference equations satisfied by the original signal. The projection operators at each step of the approximation algorithm and the new procedure are shown to be orthogonal. Finally, a pyramidal structure summarises the possibilities offered by the combinations of both procedures.
Automatic Production System of Soccer Sports Video by Digital Camera Work Based on Situation Recognition
Authors: Yasuo Ariki, Shintaro Kubota, Masahito Kumano
Venue: Proceedings of the Eighth IEEE International Symposium on Multimedia (2006)

We are studying about automatic production of soccer sports videos for easy understanding by using digital camera work on camera fixed videos. The digital camera work is a movie technique which uses virtual panning and zooming by clipping frames from hi-resolution images and controlling the frame size and position. We have studied so far digital panning. In this paper, we propose a method of digital zooming by automatically recognizing the game situation or events such as penalty kick and free kick based on player and ball tracking. These recognition results are used as key indices to retrieve the event scenes from soccer videos. We compared the proposed technique with a conventional technique by AHP method that can reflect an individual subjectivity.
Incorporate intelligence into an ecological system: an adaptive fuzzy control approach
Authors: Zhenkun Huang, Shuili Chen, Yonghui Xia
Venue: Applied Mathematics and Computation (2006)

In this paper, we incorporate intelligence into Kolmogorov's ecological system, that is, we propose a fuzzy system to combine heuristic rules into the design of nonlinear adaptive controller, where the heuristic rules are in the form of fuzzy IF-THEN rules. By using Lyapunov synthesis approach, we attain an adaptive law adjusting the free parameters in the controller such that the closed-loop system follows a desired trajectory. Although there exist uncertainty and chaos in Komogorov's model, application shows that an adaptive fuzzy control is a powerful tool to pursuit sustainable development of ecology.
Supporting the construction of explanation models and diagnostic reasoning in probabilistic domains
Authors: Olaf Schröder, Claus Möbus, Jörg Folckers, Heinz-Jürgen Thole
Venue: Proceedings of the 1996 international conference on Learning sciences (1996)

MEDICUS (modeling, explanation, and diagnostic support for complex, uncertain subject matters) is an intelligent modeling and diagnosis environment designed to support the construction of explanation models and diagnostic reasoning in domains where knowledge is complex, fragile, and uncertain. MEDICUS is developed in collaboration with several medical institutions in the epidemiological fields of environmentally caused diseases and human genetics. Uncertainty is handled by the Bayesian network approach. In modeling, the user creates a Bayesian network for the problem at hand, receiving help information and explanations from the system. This differs from existing reasoning systems based on Bayesian networks, i.e. in medical domains, which contain a built-in knowledge base that may be used but not created or modified by the user. MEDICUS supports diagnostic reasoning by proposing diagnostic hypotheses and recommending examinations. In this paper we will focus on the modeling component of MEDICUS.
When observation beats doing: learning by teaching
Authors: Sandra Y. Okita, Daniel L. Schwartz
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

Forty adult participants tested the hypothesis that an important aspect of learning-by-teaching is the opportunity to watch one's student perform. Participants studied a passage on the body's mechanisms for causing fever. They then completed one of four conditions. (a) Teach and then observe their student answer questions. (b) Teach and then self-study the same questions oneself. (c) Self-study and then observe a student answer questions. (d) Self-study and then self-study again. Results indicated that teaching and observing one's student led to greatest learning gains both for the questions one's student tried to answer and new questions that had not been raised. In some cases, it is better to observe than do.
Blind identification of a linear-quadratic model using higher-order statistics
Authors: M. Krob, M. Benidir
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04 (1993)

Blind identification of a linear mixture is a possible approach for source parameter estimation in array processing. The goal is to perform blind identification of a linear-quadratic mixture of independent and circular random components using the singular value decomposition of a third-order output cumulants matrix. This problem is of interest in all areas involving second-order nonlinear mechanisms or systems in which the inputs are unobservable.
Systemic Security Management
Authors: Laree Kiely, Terry V. Benzel
Venue: IEEE Security and Privacy (2006)

In 2005, the University of Southern California's Institute for Critical Information Infrastructure Protection (ICIIP) developed a conceptual framework for enterprise security. ICIIP seeks to close the gap between the current corporate cybersecurity risk profile and what's needed to protect the US's critical infrastructure information.
Examining the fluctuation of strategy use during learning with hypermedia
Authors: Dan Moos, Roger Azevedo
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

What strategies do students use when given conceptual scaffolds while learning with hypermedia and when do students use these strategies during learning? We collected think-aloud, pre-test, and posttest data from 37 undergraduates to examine these two research questions. Participants were randomly assigned to either the No Scaffolding (NS) or Conceptual Scaffolding (CS) condition, and individually completed one 30-minute learning task during which they used hypermedia to learn about the circulatory system. Results suggest that students in both conditions used some strategies inconsistently during learning. Specifically, the frequency with which students took notes, re-read, and selected new informational sources significantly fluctuated throughout the 30 minute learning task. Results also indicate that students in the conceptual scaffolding condition summarized significantly more during the 30-minute learning task. Discussion of how these findings are related to previous literature examining learning with hypermedia is provided.
Modeling the Static Aspects of Trust for Open MAS
Authors: Sven Kaffille, Guido Wirtz
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

In Multi-Agent Systems (MAS) agents cooperate with each other to provide the overall functionality of a MAS. To develop open MAS, new methodologies for Agent Oriented Software Engineering (AOSE) are required, that account for openness. Current AOSE methodologies are only concerned with analysis and design of MAS with a fixed number of agents, a static structure and fixed interactions and relationships between agents. In open MAS harmful agents unknow at design time of a MAS may enter the system. In recent years trust models have been developed to prevent the incorporation or facilitate exclusion of harmful agents. AOSE methodologies currently do not incorporate concepts that facilitate trust modeling. This paper presents the basis of a meta-model for trust and how it can be integrated into existing AOSE methodologies in order to better support modeling of open MAS.
Using Checkpointing to Enhance Turnaround Time on Institutional Desktop Grids
Authors: Patricio Domingues, Artur Andrzejak, Luis Moura Silva
Venue: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (2006)

In this paper, we present a checkpoint-based scheme to improve the turnaround time of bag-of-tasks applications executed on institutional desktop grids. We propose to share checkpoints among desktop machines in order to reduce the negative impact of resource volatility. Several scheduling policies are evaluated in our study: FCFS, adaptive timeouts, simple replication, replication with checkpoint on demand, and prediction-based checkpointing combined with replication. We used a set of real traces collected from an academic desktop grid environment to perform trace-driven simulations of the proposed scheduling algorithms. The results show that using a shared checkpoint approach may considerably reduce the turnaround time of the applications when compared to the private checkpoints methodology.
Speed-gradient control of cooled atom dynamics in potential of standing wave
Authors: S. V. Borisenok, Y. V. Rozhdestvensky, A. L. Fradkov, B. R. Andrievsky
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 3 (2003)

Dynamics of cold atoms in laser standing wave is a subject of a great interest, stimulated by the main problem of nano-lithography with cooled atoms: We can obtain the very narrow width of cooled atoms, much less than wavelength of optical radiation, by focusing in standing wave. We consider the possibility to increase the efficiency which means obtaining the very narrow width of atoms by focusing all atoms of an initial atom beam by controlling of an atom dynamics in periodic potential of standing wave. Such control for cooled atom dynamics achieves by using the additional laser field. There are two additional possibilities of atom focusing to comparing with usual focusing without control function. The first, the control function was chosen so that all atoms fall into potential wells of standing wave. In this case we obtain the increasing of atom number in five times (compare with ordinary focusing). At the same time, the width of atom distribution function inside wells is about /spl lambda//20. In the second case, the control function was chosen so that all atoms prepare on the hills of the periodical potential. For such unusual focusing we demonstrate that the width of atoms can be done extraordinary narrow 6 nm and an atom number increases in one hundred times.
A new composite criterion for adaptive and iterative blind source separation
Authors: J.-F. Cardoso, A. Belouchrani, B. Laheld
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

When n independent random signals are mixed by an unknown m/spl times/n matrix, the task of recovering the original signals from their mixtures is called blind source separation. The article introduces two simple source separation algorithms. The first one is adaptive, the second is iterative. Both work indifferently with complex or real signals and use an estimation equation involving 2nd-order and higher-order information. A key feature is that resulting performance is independent of the mixing matrix in the noiseless case. Simulations also indicate the absence of ill convergence.
A coupling and crosstalk-considered timing-driven global routing algorithm for high-performance circuit design
Authors: Jingyu Xu, Xianlong Hong, Tong Jing, Ling Zhang, Jun Gu
Venue: Integration, the VLSI Journal (2006)

With the exponential reduction in the scaling of feature size, inter-wire coupling capacitance becomes the dominant part of load capacitance. Two problems are introduced by couplings delay deterioration and crosstalk. This paper presents a timing-driven global routing algorithm along with consideration of coupling effects and crosstalk avoidance. Our work differs from the existing ones in that we design a global routing "framework" which performs well in terms of routablity, timing, and also facilitates the detailed routing in crosstalk avoidance. Experimental results on industrial circuits show that the algorithm leads to substantial delay reduction and effective crosstalk elimination.
An Effective Authenticating Method On The Compressed Image Data
Authors: Tsong-Yi Chen, Da-Jinn Wang, Thou-Ho Chen, Chung-Yih Lee
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

In this paper, we propose an effective watermarking method dedicated to authenticating the compressed image data. By exploiting the characteristics of JPEG compressed data, we compare the quantized with the non-quantized DCT coefficients for finding the embedding positions. A block-classification strategy is used for classifying 8x8 DCT blocks into key-blocks and flat-blocks in order to hide different watermarks into the positions mentioned above. Experimental results show that the efficacy of the proposed approach for JPEG images with about 75% to 90% compression ratio and the watermarked image still maintains a PSNR over 37dB, and only a slight overhead in bitstreams is introduced.
Simulated annealing for selection of experimental regions in response surface methodology applications
Authors: Jeffrey B. Schamburg, Donald E. Brown
Venue: Proceedings of the 36th conference on Winter simulation (2004)

In this paper we describe a methodology that includes the complementary use of simulated annealing and response surface methodology (RSM). The methodology was developed for analysis of simulations to help determine procedures for the employment of superheterodyne surveillance receivers. In this methodology, we use simulated annealing to determine near optimal solutions and to help select an initial search region from which to begin experimentation and analysis. By using this technique, we are able to take the results of an otherwise obscure function, over a limited range of the variable values, and develop a simplified, more under-standable model which closely represents the actual system over the limited solution space.
Open and closed loop control of complex molecules with shaped fs pulses
Authors: M. Motzkus
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 3 (2003)

Summary form only given. Quantum control of photo induced reactions exploits molecular interferences by adjusting the phases of multiple quantum pathways to different product channels via adapted excitation light. The approach features general applicability but an accurate theoretical prediction of the optimal laserfield to drive a specific chemical reaction is possible only for very basic systems. Moreover, the experimental realization of such a predicted complex field at the site of the interaction volume is extremely difficult or even impossible. If the molecular system under study comprises more than two atoms, a closed loop experiment may bypass such complications since it identifies the optimal pulse shapes in a trial and error fashion, without any specific a priori knowledge. Such a loop is established by a tunable modulator to shape the fs Pulses at will, and a learning algorithm which reads and interprets a relevant response signal to compute a corrective input and return it to the shaper. Many successful demonstrations of this approach on a multitude of atomic and molecular systems have been presented in the last few years. However, in spite of these demonstrations, it was still uncertain whether this approach can be applied to highly complex systems, or even biological samples. The demonstrations illustrate that coherent control effected by a combination of open and closed loop experiments is well suited to uncover the structure and dynamics of complex molecules. 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 Use of Incentive Mechanisms in Multi-Channel Mobile Music Distribution
Authors: Marco Furini, Manuela Montangero
Venue: Proceedings of the Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (2006)

The music industry is planning to perform a significant shift toward the digital world by partnering cellphone network operators to build a mobile music market. In this paper we analyze the mobile music distribution strategy focusing on: the communication infrastructure, the pricing strategy and the copyright protection. Results of our analysis show that the strategy may be questioned and hence we propose a multi-channel distribution approach that makes use of both the cellphone network and the free-of-charge communication technologies provided in cellphones. Our multi-channel distribution strategy is coupled with an incentive mechanism that stimulates customers cooperation in the mobile scenario. An evaluation of our approach shows that all the entities involved in the mobile music distribution (customers, cellphone network providers and music stores) can benefit from using a multi-channel distribution approach.