ppxscal/embedding_network huggingface dataset:
Fuzzy dual-factor time-series for stock index forecasting
Authors: Hsing-Hui Chu, Tai-Liang Chen, Ching-Hsue Cheng, Chen-Chi Huang
Venue: Expert Systems with Applications: An International Journal (2009)

There is an old Wall Street adage goes, ''It takes volume to make price move''. The contemporaneous relation between trading volume and stock returns has been studied since stock markets were first opened. Recent researchers such as Wang and Chin [Wang, C. Y., & Chin S. T. (2004). Profitability of return and volume-based investment strategies in China's stock market. Pacific-Basin Finace Journal, 12, 541-564], Hodgson et al. [Hodgson, A., Masih, A. M. M., & Masih, R. (2006). Futures trading volume as a determinant of prices in different momentum phases. International Review of Financial Analysis, 15, 68-85], and Ting [Ting, J. J. L. (2003). Causalities of the Taiwan stock market. Physica A, 324, 285-295] have found the correlation between stock volume and price in stock markets. To verify this saying, in this paper, we propose a dual-factor modified fuzzy time-series model, which take stock index and trading volume as forecasting factors to predict stock index. In empirical analysis, we employ the TAIEX (Taiwan stock exchange capitalization weighted stock index) and NASDAQ (National Association of Securities Dealers Automated Quotations) as experimental datasets and two multiple-factor models, Chen's [Chen, S. M. (2000). Temperature prediction using fuzzy time-series. IEEE Transactions on Cybernetics, 30 (2), 263-275] and Huarng and Yu's [Huarng, K. H., & Yu, H. K. (2005). A type 2 fuzzy time-series model for stock index forecasting. Physica A, 353, 445-462], as comparison models. The experimental results indicate that the proposed model outperforms the listing models and the employed factors, stock index and the volume technical indicator, VR(t), are effective in stock index forecasting.
Occupant Pose and Location Detect for Intelligent Airbag System Based on Computer Vision
Authors: Ying yang, Guangyao Zao, Jing Sheng
Venue: Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 06 (2008)

Airbag deployments during automobile accidents can cause injury and even death if the occupant is an improper size or in an improper position. Because of this, steps have been taken to make airbag deployment safer by adding adaptive deployment decision capabilities. This paper presents a new method to obtain occupants' pose and location by using a CCD camera fixed in a cabin. The face location is the target of our initial focus, as it provides a good estimate of the occupant's head position and is the most critical part of the body in airbag deployment. The occupants' head locations are detected through obtaining their face position. First, establish criterion templates to represent different size of occupants, that is, children, the 5th percentage of female, the 50th percentage of male and the 90th percentage of male. Then compare the occupants' stature with the criterion templates. The airbag can be fully deployed, partially deployed or nor deployed at all according to occupants' size and location. This arithmetic has the advantage of simple, accuracy, real time and less sensitive to illumination. Experimental results show that the recognition accuracy of the proposed approach is better. The total correct classification rate is 96.5%. It has great significance to maximum protect occupants' lives according to occupants' stature to control the deployment of airbag.
Automatic gain control for unity feedback control systems with large parameters variations
Authors: Tain-Sou Tsay
Venue: WSEAS Transactions on Systems and Control (2007)

In this paper, an automatic gain control scheme is first proposed for analyses and designs of unity feedback control systems. The controlled system is a nonlinear feedback control system. The overall system is equivalent to a conventional automatic gain control loop with command tracking error input. Therefore, it gives good command tracking behaviour while keeping robust characteristic of the original AGC loop. Furthermore, it gives good robustness for coping with fast large parameter variations. The stability and effective of controlled systems are verified by time responses, frequency responses, and parameter variation testing with three numerical examples. Comparisons are also made with the PID control.
Measuring saliency of features representing EEG signals using signal-to-noise ratios
Authors: Elif Derya íbeyli
Venue: Expert Systems with Applications: An International Journal (2009)

Various methodologies of automated diagnosis have been adopted, however the entire process can generally be subdivided into a number of disjoint processing modules: pre-processing, feature extraction/selection, and classification. Features are used to represent patterns with minimal loss of important information. The feature vector, which is comprised of the set of all features used to describe a pattern, is a reduced-dimensional representation of that pattern. Medical diagnostic accuracies can be improved when the pattern is simplified through representation by important features. By identifying a set of salient features, the noise in a classification model can be reduced, resulting in more accurate classification. In this study, a signal-to-noise ratio (SNR) saliency measure was employed to determine saliency of input features of probabilistic neural networks (PNNs) used in classification of electroencephalogram (EEG) signals. In order to extract features representing the EEG signals, eigenvector methods were used. The PNNs used in the EEG signals classification were trained for the SNR screening method. The application results of the SNR screening method to the EEG signals demonstrated that classification accuracies of the PNNs with salient input features are higher than that of the PNNs with salient and non-salient input features.
A Ring-Based Decentralized Collaborative Non-blocking Atomic Commit Protocol
Authors: Chun-Yao Wang, Daniel J. Buehrer
Venue: Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02 (2008)

Many asynchronous distributed atomic commit protocols use a coordinator, either an application server or an elected database server, to handle the progress of a transaction. When the coordinator fails or the network becomes partitioned, the transaction may block or may suffer from a split brain syndrome. In this paper we propose a decentralized, collaborative, non-blocking atomic protocol, which piggybacks transaction statuses of all transaction participants onto tokens, and passes the tokens in a logical ring with two distinct directions. Each participant uses the information in the tokens to make a decision of when to go to the next state. Using the state vectors in the tokens, the transaction can progress even if the network is partitioned, and the protocol will ensure uniform agreement on success or failure of the transaction.
A 10-year climatology of solar radiation for the Great Barrier Reef: implications for recent mass coral bleaching events
Authors: Itsara Masiri, Manuel Nunez, Evan Weller
Venue: International Journal of Remote Sensing (2008)

A 10-year solar radiation climatology is developed for the Great Barrier Reef region using data from the Geostationary Meteorological Satellite (GMS). The method uses a look-up table based on the STREAMER radiative transfer model for a tropical atmosphere. One outstanding feature appears in the summer and autumn climatologies which exhibit distinct maxima in the southern end of the study area, between latitudes 18° S and 26° S. There is a small but statistically significant increase in solar radiation over the 10-year study period, with maximum values of just under 1% per decade. The radiation climatology was used to examine previous coral bleaching episodes, and in particular the largest mass bleaching episode that occurred in 2002. Results show that the area of maximum bleaching corresponded closely to the area of maximum solar insolation. Sea surface temperature and solar radiation were used in a variance analysis to discriminate bleached from unbleached reefs. Solar radiation is a better discriminator for inshore areas, but temperature is better at discriminating offshore reefs. Possible reasons for this difference are discussed.
Design of a grid service-based platform for in silico protein-ligand screenings
Authors: Marshall J. Levesque, Kohei Ichikawa, Susumu Date, Jason H. Haga
Venue: Computer Methods and Programs in Biomedicine (2009)

Grid computing offers the powerful alternative of sharing resources on a worldwide scale, across different institutions to run computationally intensive, scientific applications without the need for a centralized supercomputer. Much effort has been put into development of software that deploys legacy applications on a grid-based infrastructure and efficiently uses available resources. One field that can benefit greatly from the use of grid resources is that of drug discovery since molecular docking simulations are an integral part of the discovery process. In this paper, we present a scalable, reusable platform to choreograph large virtual screening experiments over a computational grid using the molecular docking simulation software DOCK. Software components are applied on multiple levels to create automated workflows consisting of input data delivery, job scheduling, status query, and collection of output to be displayed in a manageable fashion for further analysis. This was achieved using Opal OP to wrap the DOCK application as a grid service and PERL for data manipulation purposes, alleviating the requirement for extensive knowledge of grid infrastructure. With the platform in place, a screening of the ZINC 2,066,906 compound ''drug-like'' subset database against an enzyme's catalytic site was successfully performed using the MPI version of DOCK 5.4 on the PRAGMA grid testbed. The screening required 11.56 days laboratory time and utilized 200 processors over 7 clusters.
Beautiful Code Exists, if You Know Where to Look
Authors: George Neville-Neil
Venue: Queue (2008)

Dear KV, I've been reading your rants in Queue for a while now and I can't help asking, is there any code you do like? You always seem so negative; I really wonder if you actually believe the world of programming is such an ugly place or if there is, somewhere, some happy place that you go to but never tell your readers about.
Local coherence in genetic interaction patterns reveals prevalent functional versatility
Authors: Shuye Pu, Karen Ronen, James Vlasblom, Jack Greenblatt, Shoshana J. Wodak
Venue: Bioinformatics (2008)

Motivation: Epistatic or genetic interactions, representing the effects of mutating one gene on the phenotypes caused by mutations in one or moredistinct genes, can be very helpful for uncovering functional relationships between genes. Recently, the epistatic miniarray profiles (E-MAP) method has emerged as a powerful approach for identifying such interactions systematically. For E-MAP data analysis, hierarchical clustering is used to partition genes into groups on the basis of the similarity between their global interaction profiles, and the resulting descriptions assign each gene to only one group, thereby ignoring the multifunctional roles played by most genes. Results: Here, we present the original local coherence detection (LCD) algorithm for identifying groups of functionally related genes from E-MAP data in a manner that allows individual genes to be assigned to more than one functional group. This enables investigation of the pleiotropic nature of gene function. The performance of our algorithm is illustrated by applying it to two E-MAP datasets and an E-MAP-like in silico dataset for the yeast Saccharomyces cerevisiae. In addition to recapitulating the majority of the functional modules and many protein complexes reported previously, our algorithm uncovers many recently documented and novel multifunctional relationships between genes and gene groups. Our algorithm hence represents a valuable tool for uncovering new roles for genes with annotated functions and for mapping groups of genes and proteins into pathways. Availability: A Java implementation of the LCD algorithm is available at URL http://genepro.ccb.sickkids.ca/biclustering.html Contact: shuyepu@sickkids.ca Supplementary information:Supplementary data are available at Bioinformatics online.
Experimental study of router buffer sizing
Authors: Neda Beheshti, Yashar Ganjali, Monia Ghobadi, Nick McKeown, Geoff Salmon
Venue: Proceedings of the 8th ACM SIGCOMM conference on Internet measurement (2008)

During the past four years, several papers have proposed rules for sizing buffers in Internet core routers. Appenzeller et al. suggest that a link needs a buffer of size O(C/√N), where C is the capacity of the link, and N is the number of flows sharing the link. If correct, buffers could be reduced by 99% in a typical backbone router today without loss in throughput. Enachecsu et al., and Raina et al. suggest that buffers can be reduced even further to 20-50 packets if we are willing to sacrifice a fraction of link capacities, and if there is a large ratio between the speed of core and access links. If correct, this is a five orders of magnitude reduction in buffer sizes. Each proposal is based on theoretical analysis and validated using simulations. Given the potential benefits (and the risk of getting it wrong!) it is worth asking if these results hold in real operational networks. In this paper, we report buffer-sizing experiments performed on real networks - either laboratory networks with commercial routers as well as customized switching and monitoring equipment (UW Madison, Sprint ATL, and University of Toronto), or operational backbone networks (Level 3 Communications backbone network, Internet2, and Stanford). The good news: Subject to the limited scenarios we can create, the buffer sizing results appear to hold. While we are confident that the O(C/√N) will hold quite generally for backbone routers, the 20-50 packet rule should be applied with extra caution to ensure that network components satisfy the underlying assumptions.
Site-specific evolutionary rates in proteins are better modeled as non-independent and strictly relative
Authors: Andrew D. Fernandes, William R. Atchley
Venue: Bioinformatics (2008)

Motivation: In a nucleotide or amino acid sequence, not all sites evolve at the same rate, due to differing selective constraints at each site. Currently in computational molecular evolution, models incorporating rate heterogeneity always share two assumptions. First, the rate of evolution at each site is assumed to be independent of every other site. Second, the values of these rates are assumed to be drawn from a known prior distribution. Although often assumed to be small, the actual effect of these assumptions has not been previously quantified in the literature. Results: Herein we describe an algorithm to simultaneously infer the set of n−1 relative rates that parameterize the likelihood of an n-site alignment. Unlike previous work (a) these relative rates are completely identifiable and distinct from the branch-length parameters, and (b) a far more general class of rate priors can be used, and their effects quantified. Although described in a Bayesian framework, we discuss a future maximum likelihood extension. Conclusions: Using both synthetic data and alignments from the Myc, Max and p53 protein families, we find that inferring relative rather than absolute rates has several advantages. First, both empirical likelihoods and Bayes factors show strong preference for the relative-rate model, with a mean Δ ln P=−0.458 per alignment site. Second, the computed likelihoods and Bayes factors were essentially independent of the relative-rate prior, indicating that good estimates of the posterior rate distribution are not required a priori. Third, a novel finding is that rates can be accurately inferred even when up to ≈4 substitutions per site have occurred. Thus biologically relevant putative hypervariable sites can be identified as easily as conserved sites. Lastly, our model treats rates and tree branch-lengths as completely identifiable, allowing for the first time coherent simultaneous inference of branch-lengths and site-specific evolutionary rates. Availability: Source code for the utility described is available under a BSD-style license at http://www.fernandes.org/txp/article/9/site-specific-relative-evolutionary-rates. Contact: andrew@fernandes.org Supplementary information:Supplementary data is available at Bioinformatics online.
Thermal remote sensing in the framework of the SEN2FLEX project: field measurements, airborne data and applications
Authors: J. A. Sobrino, J. C. Jimenez-Munoz, G. Soria, M. Gomez, A. Barella Ortiz, M. Romaguera, M. Zaragoza, Y. Julien, J. Cuenca, M. Atitar, V. Hidalgo, B. Franch, C. Mattar, A. Ruescas, L. Morales, A. Gillespie, L. Balick, Z. Su, F. Nerry, L. Peres, R. Libonati
Venue: International Journal of Remote Sensing (2008)

A description of thermal radiometric field measurements carried out in the framework of the European project SENtinel-2 and Fluorescence Experiment (SEN2FLEX) is presented. The field campaign was developed in the region of Barrax (Spain) during June and July 2005. The purpose of the thermal measurements was to retrieve biogeophysical parameters such as land surface emissivity (LSE) and temperature (LST) to validate airborne-based methodologies and to characterize different surfaces. Thermal measurements were carried out using two multiband field radiometers and several broadband field radiometers, pointing at different targets. High-resolution images acquired with the Airborne Hyperspectral Scanner (AHS) sensor were used to retrieve LST and LSE, applying the Temperature and Emissivity Separation (TES) algorithm as well as single-channel (SC) and two-channel (TC) methods. To this purpose, 10 AHS thermal infrared (TIR) bands (8-13 µm) were considered. LST and LSE estimations derived from AHS data were used to obtain heat fluxes and evapotranspiration (ET) as an application of thermal remote sensing in the context of agriculture and water management. To this end, an energy balance equation was solved using the evaporative fraction concept involved in the Simplified Surface Energy Balance Index (S-SEBI) model. The test of the different algorithms and methods against ground-based measurements showed root mean square errors (RMSE) lower than 1.8 K for temperature and lower than 1.1 mm/day for daily ET.
Real-time fuzzy digital filter by ARMA systems
Authors: J. C. García Infante, J. J. Medel Juárez, P. Guevara López
Venue: WSEAS Transactions on Systems and Control (2007)

This paper describes the Real-time Fuzzy Digital Filters (RTFDF) considering for it the fuzzy logic description (to see: [1], [3], [9], [11], [14], [15], [16], [20], [21]), adaptive digital filters concepts (to see: [2], [5], [11] and [19]) with Real-time properties (to see: [12], [13] and references in it). The main characteristic operation of this filter is to use a region, which has a linguistic natural description and it is known as the knowledge base [21]. Illustratively, the classification of the output signals system respect to the desired answer in linguistic natural form (to see: [12] and [19]), requiring to establish the membership function set with respect to these for the characterization in computational sense as nature linguistic [3]. The RTFDF needs a group of rules inside of the knowledge base (in mathematical sense using logic connectors (IF and THEN) in agreement to [19]) for to select the best way that the filter need to take, respect to the natural evolution answer system. Novel RTFDF description considers quality answer into natural languages, and the interaction time restrictions with adaptive properties into the fuzzy structure filter. The basic results described in this document are in formal sense, using the set definitions developed in the papers and referenced below without forgetting the Nyquist, Shannon, Zadeh and Passino criteria into convolution filter scheme ([7],[16],[18] and [21]). Experimentally, we propose a simulation scheme by this type of filters, using Matlab tools by basic ARMA models. The paper has seven basic sections compound as: 1. Introduction, 2. Membership Functions, 3. Fuzzy Digital Filters, 4. Real-time Fuzzy Digital Filters, 5. Simulations, 6. Conclusions and References.
Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling
Authors: Filippo Menolascina, Roberto T. Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Delgado, Vitoantonio Bevilacqua, Giuseppe Mastronardi, Alex A. Freitas, Angelo Paradiso
Venue: International Journal of Hybrid Intelligent Systems (2008)

Genomic DNA copy number aberrations are frequent in solid tumours although their underlying causes of chromosomal instability in tumours remain obscure. In this paper we show how Artificial Immune System (AIS) paradigm can be successfully employed in the elucidation of biological dynamics of cancerous processes using a novel fuzzy rule induction system for data mining (IFRAIS) of aCGH data. Competitive results have been obtained using IFRAIS. A biological interpretation of the results carried out using Gene Ontology is currently under investigation.
A faceted approach to conceptualizing tasks in information seeking
Authors: Yuelin Li, Nicholas J. Belkin
Venue: Information Processing and Management: an International Journal (2008)

The nature of the task that leads a person to engage in information interaction, as well as of information seeking and searching tasks, have been shown to influence individuals' information behavior. Classifying tasks in a domain has been viewed as a departure point of studies on the relationship between tasks and human information behavior. However, previous task classification schemes either classify tasks with respect to the requirements of specific studies or merely classify a certain category of task. Such approaches do not lead to a holistic picture of task since a task involves different aspects. Therefore, the present study aims to develop a faceted classification of task, which can incorporate work tasks and information search tasks into the same classification scheme and characterize tasks in such a way as to help people make predictions of information behavior. For this purpose, previous task classification schemes and their underlying facets are reviewed and discussed. Analysis identifies essential facets and categorizes them into Generic facets of task and Common attributes of task. Generic facets of task include Source of task, Task doer, Time, Action, Product, and Goal. Common attributes of task includes Task characteristics and User's perception of task. Corresponding sub-facets and values are identified as well. In this fashion, a faceted classification of task is established which could be used to describe users' work tasks and information search tasks. This faceted classification provides a framework to further explore the relationships among work tasks, search tasks, and interactive information retrieval and advance adaptive IR systems design.
A First Set of Design Patterns for Algorithm Animation
Authors: Guido Rößling
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

Design Patterns are extremely helpful in preventing programmers from ''reinventing the wheel''. However, the algorithm animation area does not yet seem to have any Design Patterns, although there are several design issues that have to be resolved in many systems. We present two Design Patterns that address two central points in flexible algorithm animation systems: reverse playing and conceptual uncoupling to allow for easy extension.