ppxscal/embedding_network huggingface dataset:
Dynamically reconfigurable on-chip communication architectures for multi use-case chip multiprocessor applications
Authors: Sudeep Pasricha, Nikil Dutt, Fadi J. Kurdahi
Venue: Proceedings of the 2009 Asia and South Pacific Design Automation Conference (2009)

The phenomenon of digital convergence and increasing application complexity today is motivating the design of chip multiprocessor (CMP) applications with multiple use cases. Most traditional on-chip communication architecture design techniques perform synthesis and optimization only for a single use-case, which may lead to sub-optimal design decisions for multi-use case applications. In this paper we present a framework to generate a dynamically reconfigurable crossbar-based on-chip communication architecture that can support multiple use-case bandwidth and latency constraints. Our framework generates on-chip communication architectures with a low cost, low power dissipation, and with minimal reconfiguration overhead. Results of applying our framework on several networking CMP applications show that our approach is able to generate a crossbar solution with significantly lower cost (2.4x to 3.8x), and lower power dissipation (1.5x to 3.1x), compared to the best previously proposed approach.
Theory and method of genetic-neural optimizing cut-off grade and grade of crude ore
Authors: Yong He, Kejun Zhu, Siwei Gao, Ting Liu, Yue Li
Venue: Expert Systems with Applications: An International Journal (2009)

Cut-off grade for ore drawing is a kind of technological method used to control the process of drawing in sublevel caving with no sill pillar. The cut-off grade for ore drawing means the grade of ore in the last time (current time) of ore drawing. Grade of crude ore is the grade of ore entering the milling workshop after ore mixing. Cut-off grade and grade of crude ore are key parameters of production and management in mine system. Genetic algorithm and neural networks nesting method are used in this research to simulate the highly complexity and highly non-linear relationship between variables in mining system, to optimize the cut-off grade and grade of crude ore. The idea is detailed as follows. Cut-off grade and grade of crude ore are joined as chromosome of population for evolution computation; Self-adaptive neural network is used to obtain the local connection between the revenue (fitness function) and chromosome; Genetic algorithm is performed to search the optimal cut-off grade and grade of crude ore globally. The inner layer of nesting is neural networks, which is used to compute loss rate, amount of tailing ore and total cost; the outer layer is evolutionary computation, which is used to get the revenue. The inner layer carries out local approximation, and the outer carries out global search. These two layers carry out the optimization of cut-off grade and grade of crude ore jointly. Take Daye Iron Mine as an example, and the result shows that, the present scheme (cut-off grade is 18%, grade of crude ore is 41-43%) should be improved. During the period of August to November in the year 2007, the optimal cut-off grade is 15.8%, and optimal grade of crude ore is 43.7762-44.1387%, the optimized scheme can improve the present value by 9.01-9.44 million yuan.
Issues in Combinatorial Analysis of Vedic Verbal and Nominal Forms
Authors: Boris Oguibénine
Venue: Sanskrit Computational Linguistics: First and Second International Symposia Rocquencourt, France, October 29-31, 2007 Providence, RI, USA, May 15-17, 2008 Revised Selected and Invited Papers (2009)

Algorithmically determining differential features of ¿gvedic verbs and nouns presents a series of issues that brings a fresh perspective on Vedic grammatical structures.Inflectional categories of the Vedic language are signaled within verbs and nouns by so-called cumulative morphs (sets of markers, each set carrying several grammatical meanings occurring predominantly at the end of word forms). To discover grammatical categories of word forms, they are to be analyzed from right to left and focusing on the parts of words carrying only grammatical information. An analysis of RV.1.11 shows minimal final parts of words signaling verbs as distinct from nouns.When homonymous sound combinations occur in verbs and nouns, our technique is to proceed more to the left focusing on subsidiary signs (submorphs with no autonomous grammatical meaning) in combination with inflectional endings.Two issues in Vedic philology are briefly discussed: transfer of stems in Vedic nouns, and Vedic accentual patterns.
No Stress Tech Guide To ACT! 2007
Authors: Indera Murphy
Venue:  (2007)

This book is primarily for new users of ACT!. If you are looking for step-by-step instructions to help you master ACT!, this is the book that you have been looking for. There are time saving tips, advise and humor to help you learn the advanced concepts. In a user-friendly way you will learn the following topics: How to install and customize ACT!; Creating, editing and duplicating contact, company and group records; Using the Lookup command; Sorting contact records; Linking company and contact records; Running and customizing reports; Scheduling activities and creating opportunities; Modifying report templates and menus; Importing and exporting data; Performing database maintenance tasks and much, much more. The No Stress Tech Guide To ACT! 2007 is part of a growing series of computer software training workbooks that are designed to be used in a classroom setting, an online class or as a self-paced learning tool. The workbooks contain an abundance of screen shots to help reduce the "stress" often associated with learning new software. 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
From controlled dynamical systems to context-dependent grammars: A connectionist approach
Authors: J. F. Martins, J. A. Dente, A. J. Pires, R. Vilela Mendes
Venue: Engineering Applications of Artificial Intelligence (2009)

Formal language techniques may be used to study controlled dynamical systems and lead to a formulation in terms of context-dependent grammars. Using automata as basic units we obtain an on-line implementation of the grammars. The implementation has a hierarchical structure, the lowest level dealing with the identification of alphabet symbols (terminal and non-terminal), and the other with the establishment of the grammar productions. The method provides an automatic construction of the automata network from the experimental data. In particular, the parallel-processing capabilities of automata networks improves the performance of grammar-based models for control and anomaly detection in electromechanical devices of industrial relevance. One such example is presented.
Parametric and semiparametric methods for mapping quantitative trait loci
Authors: Jung-Yu Cheng, Shinn-Jia Tzeng
Venue: Computational Statistics Data Analysis (2009)

Most statistical methods for mapping quantitative trait loci (QTLs) have been extensively developed for normally distributed and completely observed phenotypes. A survival model such as Cox's proportional hazards model, or an accelerated failure time model, is the natural choice for regressing a phenotype onto a maker-type when the primary phenotype belongs to failure time. This study proposes parametric and semiparametric methods based on accelerated failure time models for interval mapping. In the parametric model, the EM algorithm (expectation maximization algorithm) is adopted to estimate regression parameters and search the entire chromosome for QTL. In the semiparametric model, the error distribution is left unspecified, and a rank-based inference is developed for the effect and location of QTL. Simulated data are used to compare the mapping performance of the semiparametric methodology with that of the parametric method, which separately selects the correct and incorrect error distribution. Analytical results reveal that the parametric estimators may be more efficient in determining the effect and location of QTL, but have obvious bias when selecting the incorrect error distribution. In contrast, the semiparametric inference is robust to the error distribution.
Individualization of voxel-based hand model
Authors: Albert J. Causo, Mai Matsuo, Etsuko Ueda, Yoshio Matsumoto, Tsukasa Ogasawara
Venue: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction (2009)

Improvements in hand pose estimation, made possible by refining the model matching step, is necessary in creating a more natural human-robot interface. Individualizing the 3D hand model of the user can result to a better hand pose estimation. This paper presents a way to accomplish the individualization by estimating the length of the finger links (bones), which is unique for every user. The 3D model of the hand is made up of voxel data derived from silhouette images obtained by multiple cameras and the finger link is estimated by searching a set of models generated from the calibration motion of the fingers. Initial pose estimation result using the model shows the feasibility of the system.
Flexible and abstract communication and interconnect modeling for MPSoC
Authors: Katalin Popovici, Ahmed Jerraya
Venue: Proceedings of the 2009 Asia and South Pacific Design Automation Conference (2009)

Current multiprocessor systems on chip (MPSoC) architectures integrate a massive number of IPs that need to exchange data in complex and diverse synchronization ways. The key challenge when designing MPSoC is that the communication architecture needs to be decided at the beginning of the design, before all the details about mapping the application on the architecture are known. These early decisions cause two difficulties: how to select the best communication architecture and how to estimate the effect of mapping the application onto the communication resources. In this paper, we propose high level communication models that allow early accurate performance estimation of both communication architecture and communication mapping. We applied the proposed modeling methods to analyze the impact on performance in case of two network topologies and several communication mapping schemes for the H.264 Encoder application.
A spectral proof of the uniqueness of a strongly regular graph with parameters (81,20,1,6)
Authors: Dragan Stevanović, Marko Milošević
Venue: European Journal of Combinatorics (2009)

We give a new proof that there exists a unique strongly regular graph with parameters (81,20,1,6). Unlike the finite geometry approach used by Brouwer and Haemers, we use linear algebra and spectral graph theory concepts, namely the technique of star complements, in our proof.
A No-Reference Blocking Artifacts Metric Using Selective Gradient and Plainness Measures
Authors: Jianhua Chen, Yongbing Zhang, Luhong Liang, Siwei Ma, Ronggang Wang, Wen Gao
Venue: Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing (2008)

This paper presents a novel no-reference blocking artifacts metric using selective gradient and plainness (BAM_SGP) measures for DCT-coded images. A boundary selection criterion is introduced to distinguish the blocking artifacts boundaries from the true-edge boundaries, which ensures that the most potential artifacts boundaries are involved in the measurement. Next, the artifacts are evaluated by the gradient and plainness measures indicating different aspects of blocking artifacts characteristics. Then these two measures are fused into a metric of blocking artifacts. Compared with some existing metrics, experiments on the LIVE database and our own test set show that the proposed metric can keep better consistent with Mean Opinion Score (MOS).
(Perceived) interactivity: does interactivity increase enjoyment and creative identity in artistic spaces?
Authors: Amy L. Gonzales, Thomas Finley, Stuart Paul Duncan
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

The HCI community often operates under the assumption that interactivity enhances the user experience. In this study we are particularly interested in whether interactivity enhances an artistic experience by either promoting or constraining an audience's enjoyment and creative identity. The goal of the study was to test two research questions in an experimental context: 1.) How does interactive art impact user satisfaction, and 2.) How does interactive art shape the self-concept of the user as creative? Participants interacted with the system in the Interaction"(34 pairs) or"No Interaction (37 pairs) condition. Findings reveal that perceptions of interactivity correlate with user satisfaction, but do not influence user identity.
A new heuristic protection algorithm based on survivable integrated auxiliary graph in waveband switching optical networks
Authors: Xingwei Wang, Lei Guo, Cunqian Yu, Dong Wang, Weigang Hou, Ying Li, Chongshan Wang, Xin Liu
Venue: Computer Communications (2009)

In this paper, we study the survivability in waveband switching optical networks and propose a new heuristic algorithm called Protection based on Survivable Integrated Auxiliary Graph (PSIAG) to tolerate the single-link failure. The survivable integrated auxiliary graph (SIAG) is compared of the single virtual topology layer and multiple waveband-plane layers, and it can well solve the problem of routing and waveband assignment. In PSIAG, we can feasible use the waveband sub-path grouping scheme based on SIAG to save the switching ports in MG-OXCs. For each demand, PSIAG first computes the single-hop or multi-hop route-pair including a primary path and a link-disjoint backup path on virtual topology layer. If the route-pair cannot be found on virtual topology layer, PSIAG then computes the hybrid multi-hop route-pair on jointing the virtual topology layer and waveband-plane layers. Simulation results show that PSIAG can obtain better performance than previous algorithm.
KAAPRO: An approach of protein secondary structure prediction based on KDD* in the compound pyramid prediction model
Authors: Yang Bingru, Hou Wei, Zhou Zhun, Quan Huabin
Venue: Expert Systems with Applications: An International Journal (2009)

The problem of protein secondary structure prediction is one of the most important problems in Bioinformatics. After the study of this problem for 30 years and more, there have been some breakthroughs. Especially, the introduction of ensemble prediction model and hybrid prediction model makes the accuracy of prediction better, but there is a long distance to induce the tertiary structures from the secondary ones. As one of the extension researches of KDTICM [Bingru, Yang (2004). Knowledge discovery based on theory of inner cognition mechanism and application. Beijing: Electronic Industry Press] theory, this paper proposed a method KAAPRO, which is based on Maradbcm algorithm which is induced by KDD* model and combined with CBA, for protein secondary structure prediction. And a gradually enhanced, multi-layer systematic prediction model, compound pyramid model, is proposed. The kernel of this model is KAAPRO. Domain knowledge is used through the whole model, and the physical-chemical attributes are chosen by causal cellular automata. In the experiment, the test proteins used in reference Muggleton et al. (Muggleton, S. H., King, R., Sternberg, M. (1992). Protein secondary structure prediction using logic-based machine learning. Protein Engineering, 5(7), 647-657) are predicted. The structures of amino acids, whose structural traits are obscure, are predicted well by KAAPRO. Hence, the result of this model is satisfying too.
Countering imbalanced datasets to improve adverse drug event predictive models in labor and delivery
Authors: L. M. Taft, R. S. Evans, C. R. Shyu, M. J. Egger, N. Chawla, J. A. Mitchell, S. N. Thornton, B. Bray, M. Varner
Venue: Journal of Biomedical Informatics (2009)

Background: The IOM report, Preventing Medication Errors, emphasizes the overall lack of knowledge of the incidence of adverse drug events (ADE). Operating rooms, emergency departments and intensive care units are known to have a higher incidence of ADE. Labor and delivery (L&D) is an emergency care unit that could have an increased risk of ADE, where reported rates remain low and under-reporting is suspected. Risk factor identification with electronic pattern recognition techniques could improve ADE detection rates. Objective: The objective of the present study is to apply Synthetic Minority Over Sampling Technique (SMOTE) as an enhanced sampling method in a sparse dataset to generate prediction models to identify ADE in women admitted for labor and delivery based on patient risk factors and comorbidities. Results: By creating synthetic cases with the SMOTE algorithm and using a 10-fold cross-validation technique, we demonstrated improved performance of the Naive Bayes and the decision tree algorithms. The true positive rate (TPR) of 0.32 in the raw dataset increased to 0.67 in the 800% over-sampled dataset. Conclusion: Enhanced performance from classification algorithms can be attained with the use of synthetic minority class oversampling techniques in sparse clinical datasets. Predictive models created in this manner can be used to develop evidence based ADE monitoring systems.
Using the RITA Threats Ontology to Guide Requirements Elicitation: an Empirical Experiment in the Banking Sector
Authors: Camille Salinesi, Elena Ivankina, Willy Angole
Venue: Proceedings of the 2008 First International Workshop on Managing Requirements Knowledge (2008)

Eliciting requirements is an important issue of systems development projects. One particular approach to requirements elicitation is to analyse non nominal cases of systems behaviour. Non nominal behaviours can be dealt with under different perspectives such as obstacles, conflicts, or risks. RITA is a requirements elicitation method that makes use of an ontology, which englobes these different perspectives using the concept of threat. The threats ontology can be used to diagnose non nominal system behaviours, and discover new requirements to overcome them. This paper reports an empirical experiment of the RITA threats ontology in the banking sector. The experiment was undertaken with the goal to demonstrate the effectiveness of using the RITA threats ontology to discover system requirements. The paper describes the experiment, reports a few results, and raises a few questions to address in the development of ontology-based requirements engineering methods.
POLYBIO: Multimodal Biometric Data Acquisition Platform and Security System
Authors: Anastasis Kounoudes, Nicolas Tsapatsoulis, Zenonas Theodosiou, Marios Milis
Venue: Biometrics and Identity Management: First European Workshop, BIOID 2008, Roskilde, Denmark, May 7-9, 2008. Revised Selected Papers (2008)

Biometrics is the automated method of recognizing a person based on a physiological or behavioural characteristic. Biometric technologies are becoming the foundation of an extensive array of highly secure identification and personal verification solutions. In the last few years there is increasing evidence that technologies based on multimodal biometrics can provide better identification results if proper fusion schemes are accommodated. In this work, we present a novel platform for multimodal biometric acquisition which combines voice, video, fingerprint and palm photo acquisition through an integrated device, and the preliminary fusion experiments on combining the acquired biometrics modalities. The results are encouraging and show clear improvement both in terms of False Acceptance Rate and False Rejection Rates compared to the corresponding single modality approaches. In the current report, fusion was accommodated at the output of the single modalities; however, fusion experimentation is ongoing and further fusion methodologies are under investigation.
e-governance initiatives in Bangladesh
Authors: Mahbubul Alam, Kawsar Ahmed
Venue: Proceedings of the 2nd International Conference on Theory and Practice of Electronic Governance (2008)

In today's world, Information and Communication Technology (ICT) has tremendous impact on socio-economic livelihood of people of the country. Government functions are the most profound areas where ICT can play a pivotal role in fostering and ameliorating citizen centric services. Adaptation of e-Governance is a key for smart governance and making information technology (IT) relevant to ordinary citizens in Bangladesh where a large proportion of the population suffers from digital divide. e-Governance will allow ordinary people to interact with the government at various levels on matters of governance to provide inputs for decision makers. To achieve these desired objectives the journey for establishing e-Governance system in Bangladesh faced challenges that can be summarized by three A's: Access, Awareness and Applications. Being a developing country, it was always a challenge for the country to finance capital intensive endeavours like access backbones and communication infrastructure. Also, newer ICT tools remained beyond the purchasing power of most Bangladeshis. With the proliferation of mobile, while the communication infrastructure challenge is somewhat resolved, the issues of awareness among the public servants and citizen are still low. Such awareness (or lack of it) among middle and senior public officials remained a particular of concern in the context of establishing e-Governance. This paper presents a baseline assessment of existing capacity, needs and options for implementing e-Governance in Bangladesh.
Transmission Delay Reduction in IMS by Re-registration Procedure Modification
Authors: R. Farahbakhsh, M. Varposhti, N. Movahhedinia
Venue: Proceedings of the 2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies (2008)

As a result of the evolution of computer and networking technologies, the Third Generation Partnership Project (3GPP) has proposed the IP Multimedia Subsystem (IMS) as a key element in Next Generation Networks (NGN) that supports multimedia services in the packet switched domain. To use IMS services, users should register in IMS network and to have their information be registered in IMS Databases. When transport media is mobile and user handover in the access network, the re-registeration procedure is needed. This is similar to initial register procedure and leads to excessive transmission delay. In this paper a solution is introduced to reduce the re-registration delay by reducing the number of required contacts with IMS Databases. We have compared re-registration time in our proposed scheme with the standard scheme in OPNET modeler 10.5. Simulation results have confirmed better performance for the proposed scheme.
Mobile Agents and Packet Marking for Real-Time IP Traceback
Authors: S. Armoogum, N. Mohamudally
Venue: Proceedings of the 2009 Third International Conference on Digital Society (2009)

Internet and computer technology are increasingly being used as vehicles for an escalating variety of infringements. The most popular attack on the Internet being the Denial of Service (DoS) attack, there is growing need to be able to track the sources of the attacks. IP trace back schemes can be used for tracing the source of attacks. We propose a mechanism for IP trace back which is based on packet marking and mobile agents whereby routers mark the packets in flight with only 37 bits of data and mobile agents use this information to trace back the source of attack.