ppxscal/embedding_network huggingface dataset:
Responding efficiently to relevant stimuli using an emotion-based agent architecture
Authors: Rodrigo Ventura, Carlos Pinto-Ferreira
Venue: Neurocomputing (2009)

It is widely accepted that one important role of emotions consists in providing a mechanism for adequate and efficient response to relevant stimuli. In this paper we propose a methodology for implementing such a mechanism, based on a previously presented emotion-based agent model. This agent model is biologically inspired in the emotion mechanisms found in the brain, following recent neurophysiological research. This model is founded on two principles: (1) stimuli is represented internally by two representations with different degrees of complexity and accuracy, and (2) the matching of these representations is implemented by a distance function. The mechanism considered in this paper amounts to matching the current stimulus the agent is perceiving with its past experience. This paper addresses a twofold strategy for optimizing the efficiency and accuracy of this mechanism. The first one consists in adapting the distance function employed in one of the representations, while the second one has the goal of upgrading that representation with new relevant features. Techniques borrowed from nonmetric multidimensional scaling are used to approach these goals.
Microsoft Office Publisher 2007: Complete Concepts and Techniques, 1st edition
Authors: Gary B. Shelly, Thomas J. Cashman, Joy L. Starks
Venue:  (2007)

Microsoft Publisher 2007: Complete Concepts and Techniques provides a project-based, step-by-step approach to teaching Publisher 2007.
An efficient lock-aware transactional memory implementation
Authors: Justin E. Gottschlich, Jeremy G. Siek, Manish Vachharajani, Dwight Y. Winkler, Daniel A. Connors
Venue: Proceedings of the 4th workshop on the Implementation, Compilation, Optimization of Object-Oriented Languages and Programming Systems (2009)

Transactional memory (TM) is an emerging concurrency control mechanism that provides a simple and composable programming model. Unfortunately, transactions violate the semantics of mutual exclusion locks when they execute concurrently. Due to the prevalence of locks, transactions must be made lock-aware enabling them to correctly interoperate with locks. We present a lock-aware transactional memory (LATM) system that employs a unique communication method using local knowledge of locks coupled with granularity-based policies. Our system allows higher concurrent throughput than prior systems because it only prevents truly conflicting critical sections from executing concurrently. Furthermore, our system relaxes the prior requirement of transaction isolation when executing conflicting transactional critical sections and instead runs these transactions as irrevocable, improving transaction concurrency. We demonstrate our performance improvements mathematically and empirically. Our system also advances LATM research in terms of program consistency. This is achieved by detecting potential deadlocks at run-time and aborting the programs that contain them. Prior systems break deadlocks, which reveal partially executed critical sections to other threads, thereby violating mutual exclusion. Because our system disallows deadlocks, it does not suffer from mutual exclusion violations, improving program consistency.
A fuzzy classifier based on correlation matrix memories
Authors: Eren Aykin, Simon O'Keefe
Venue: Proceedings of the 10th WSEAS international conference on Fuzzy systems (2009)

This paper describes a binary neural network classifier that is able to make decisions based on fuzzy relational rule sets. Rule sets are extracted from a training data set and stored in a Correlation Matrix Memory (CMM). Such a classifier has many advantages including suitability for hardware implementations, fast matching, handling of missing or erroneous data and online learning. The main purpose of this paper is to demonstrate the suitability of the AURA library for building CMMs that perform fuzzy operations.
Short communication: A software tool for translating deterministic model results into probabilistic assessments of water quality standard compliance
Authors: Andrew D. Gronewold, Mark E. Borsuk
Venue: Environmental Modelling Software (2009)

Most assessments of whether a water body will comply with pollutant standards after modification of land use, loading, or climate change are based on the results of deterministic simulation models. These models, including those used to support the United States Environmental Protection Agency (USEPA) total maximum daily load (TMDL) program, typically do not account for common sources of assessment uncertainty. Instead, model results are typically represented by a time series of predicted pollutant concentration values or the parameters of a frequency-based distribution of these values over a specified time period. The rate of exceedance of relevant pollutant limits is then assessed directly from this time series or distribution to determine standard compliance. In this way, sampling and analysis-based variability and model uncertainty are typically ignored, although they may substantially influence the probability of non-compliance. To help address this problem, we introduce ProVAsT (Probabilistic Water Quality Standard Violation Assessment Tool), a software tool encoded in the graphical model-based package Analytica^(R). Here, we present a version of ProVAsT which translates model-predicted in situ fecal indicator bacteria (FIB) pollutant concentrations into the expected frequency of water quality standard violations and provides a Bayesian measure of the degree of confidence in this assessment. We call this version ProVAsT-FIB. Along with inputting their own simulation model results, users can specify the particular water quality analysis methods employed (e.g. the analytic procedure used and the number and volume of sample aliquots) as well as the numeric limits pertaining to local water quality standards. It is our hope that ProVAsT will encourage the rational consideration of uncertainty and variability in water quality assessments by reducing the burden of complex statistical calculations.
On integrated ant colony optimization strategies for improved channel allocation in large scale wireless communications
Authors: P. M. Papazoglou, D. A. Karras, R. C. Papademetriou
Venue: Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems (2008)

Recently, various sophisticated strategies adapted to current network conditions have been proposed for channel allocation based on intelligent techniques such as evolutionary and genetic algorithms. These approaches constitute heuristic solutions to resource management problems in modern cellular systems. On the other hand, the ant colony optimization approach has been proposed for solving several optimization problems with promising results. It would be interesting, therefore, to investigate its application in resource management problems of wireless systems. A comprehensive and efficient heuristic approach for solving the channel allocation problem in large scale wireless communication systems, based on intelligent techniques and especially on integrating multi-agent methodology and ant colony optimization strategies, is herein proposed. Moreover, important implementation issues of ant colony optimization within a multi-agent simulation system are investigated. In addition, multi-agent realization issues such as thread execution sequence definition are also presented. An initial but comprehensive simulation study has been conducted and the simulation results show the performance improvement of the proposed ant colony optimization algorithm as well as the multi-agent modelling approach with respect to traditional network performance statistics.
Remote water quality monitoring system using wireless sensors
Authors: Nazleeni Samiha Haron, Mohd Khuzaimi Mahamad, Izzatdin Abdul Aziz, Mazlina Mehat
Venue: Proceedings of the 8th WSEAS international conference on Electronics, hardware, wireless and optical communication (2009)

It is found that the current manual water quality monitoring entails tedious process and is time consuming. To alleviate the problems caused by the manual monitoring and the lack of effective system for prawn farming, a remote water quality monitoring for prawn farming pond is proposed. The proposed system is leveraging on wireless sensors in detecting the water quality and Short Message Service (SMS) technology in delivering alert to the farmers upon detection of degradation of the water quality. Three water quality parameters that are critical to the prawn health are monitored, which are pH, temperature and dissolved oxygen. In this paper, the details of system design and implementation are presented. The results obtained in the preliminary survey study served as the basis for the development of the system prototype. Meanwhile, the results acquired through the usability testing imply that the system is able to meet the users' needs.
Fundamentals of Three-dimensional Digital Image Processing, 1st edition
Authors: Junichiro Toriwaki, Hiroyuki Yoshida
Venue:  (2009)

There are many areas of science and engineering where three-dimensional (3-D) discrete data are collected and analyzed, such as medical imaging and geoscience. To design and to prove the validity of computational procedures for processing and analysis of such data, the need for a mathematical theory and algorithms for image processing is essential. Self-contained, accessible, and mathematically precise, this book serves as an introduction to the field of 3-D digital image processing, providing information that can be used immediately in practical algorithms for the analysis of 3-D data sets. By presenting problems of processing and analysis of practical 3-D data sets, readers will find the descriptions clear and accessible as concepts and methods are carefully introduced, defined, and illustrated with examples. A key textbook for graduates and resource for all working in areas of multidimensional image processing and analysis, this book is also excellent for self-study for practitioners in the field of 3-D digital image processing.
Comparative Analysis of Corporate Failure Prediction Methods: Evidence from Chinese Firms
Authors: Haicong Yang
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III (2009)

This paper examines four most popular alternative methods that have been applied in financial failure prediction: linear discriminant analysis, logit analysis, neural networks and support vector machine. The main purpose is to make comparisons of the prediction abilities among different methods. It was implemented by using the Chinese firms data one, two and three years prior to failure in the empirical analysis. The results indicate that the classification accuracy of support vector machine is the highest.
A New Quantum Lower Bound Method, with Applications to Direct Product Theorems and Time-Space Tradeoffs
Authors: Andris Ambainis, Robert &#x0160;palek, Ronald de Wolf
Venue: Algorithmica (2009)

We give a new version of the adversary method for proving lower bounds on quantum query algorithms. The new method is based on analyzing the eigenspace structure of the problem at hand. We use it to prove a new and optimal strong direct product theorem for 2-sided error quantum algorithms computing k independent instances of a symmetric Boolean function: if the algorithm uses significantly less than k times the number of queries needed for one instance of the function, then its success probability is exponentially small in k. We also use the polynomial method to prove a direct product theorem for 1-sided error algorithms for k threshold functions with a stronger bound on the success probability. Finally, we present a quantum algorithm for evaluating solutions to systems of linear inequalities, and use our direct product theorems to show that the time-space tradeoff of this algorithm is close to optimal.
Comparing the Use of Feature Structures in Nativism and in Database Semantics
Authors: Roland Hausser
Venue: Proceeding of the 2008 conference on Information Modelling and Knowledge Bases XIX (2008)

Linguistics has always been a field with a great diversity of schools and sub-schools. This has naturally led to the question of whether different grammatical analyses of the same sentence are in fact equivalent or not. With the formalization of grammars as generative rule systems, beginning with the “Chomsky revolution” in the late nineteen fifties, it became possible to answer such questions in those fortunate instances in which the competing analyses were sufficiently formalized. An early example is the comparison of Context-Free Phrase Structure Grammar (CF-PSG) and Bidirectional Categorial Grammar (BCG), which were shown to be weakly equivalent by Gaifman 1961. More recently, the question arose with respect to the language classes and the complexity hierarchies of Phrase Structure Grammar (PS-grammar) and of Left-Associative Grammar (LA-grammar), which were shown to be orthogonal to each other (TCS'92). Here we apply the question to the use of feature structures in contemporary schools of Nativism on the one hand, and in Database Semantics (DBS) on the other. The practical purpose is to determine whether or not the grammatical analyses of Nativism based on constituent structure can be used in Database Semantics.
Intelligent Help for Managing and Training UML Software Engineering Teams
Authors: Maria Virvou, Kalliopi Tourtoglou
Venue: Proceeding of the 2006 conference on Knowledge-Based Software Engineering: Proceedings of the Seventh Joint Conference on Knowledge-Based Software Engineering (2006)

In this paper, we present an intelligent help system for novice software engineers who use UML. This intelligent help is targeted to two kinds of user: the individual software engineer and the manager of the system, who coordinates the teams of software engineers. The system is called ISEA and can be used in real productive time even by the novice software engineers of a Software House. The intelligent help is generated based on a user-modelling module that records the actions of software engineers and evaluates them in terms of personality characteristics, their UML knowledge level and their collaboration with other software engineers. At the same time, ISEA supports a Group-Role Module that contributes to the automatic selection of the most effective collaboration schemes.
Architecting phase change memory as a scalable dram alternative
Authors: Benjamin C. Lee, Engin Ipek, Onur Mutlu, Doug Burger
Venue: Proceedings of the 36th annual international symposium on Computer architecture (2009)

Memory scaling is in jeopardy as charge storage and sensing mechanisms become less reliable for prevalent memory technologies, such as DRAM. In contrast, phase change memory (PCM) storage relies on scalable current and thermal mechanisms. To exploit PCM's scalability as a DRAM alternative, PCM must be architected to address relatively long latencies, high energy writes, and finite endurance. We propose, crafted from a fundamental understanding of PCM technology parameters, area-neutral architectural enhancements that address these limitations and make PCM competitive with DRAM. A baseline PCM system is 1.6x slower and requires 2.2x more energy than a DRAM system. Buffer reorganizations reduce this delay and energy gap to 1.2x and 1.0x, using narrow rows to mitigate write energy and multiple rows to improve locality and write coalescing. Partial writes enhance memory endurance, providing 5.6 years of lifetime. Process scaling will further reduce PCM energy costs and improve endurance.
Development, calibration and evaluation of two mathematical models for pollutant transport in a small river
Authors: Elisabeta-Cristina Ani, Steve Wallis, Andrzej Kraslawski, Paul Serban Agachi
Venue: Environmental Modelling Software (2009)

The present research has two main objectives (1) to build two models for concentration prediction in a stream subject to a pollutant release and (2) to investigate options for estimating the parameters of the models. The models rely on the fundamental advection-dispersion equation and were developed, calibrated and evaluated using tracer data from experiments conducted in the Murray Burn in Edinburgh, UK. During the evaluation by comparison against field data both models were able to predict the main features of the observations at the first three monitoring sites, but results at the final site were less good. These types of models rely very much on the ability to make good estimates of velocity and dispersion coefficients along the stream. Although these parameters could be estimated using tracer experiments, it would be easier if they could be estimated from other hydraulic data such as the water flow rate and the channel characteristics. For the Murray Burn such models for parameter estimation were developed in the form of non-linear relationships with flow rate. This approach could be used to calculate the parameters for other similar streams, if the coefficients in the equations were similar. Alternatively, further work would be needed to explore how these coefficients vary between streams.
Brief paper: On the addition of integral action to port-controlled Hamiltonian systems
Authors: Alejandro Donaire, Sergio Junco
Venue: Automatica (Journal of IFAC) (2009)

A technique that provides closed loop integral action depending on the passive outputs of port-controlled Hamiltonian systems is already available. This paper addresses a new method that allows us to add integral action also on system variables having relative degree higher than one, while still preserving the Hamiltonian form and, thus, closed loop stability. The new approach is applied to design speed regulation controllers for the permanent magnet synchronous motor. Closed loop stability and asymptotic rejection of unknown piecewise constant load torques are formally proved. This theoretically predicted control system performance is illustrated via simulation experiments, which also show that the properties hold under parameter uncertainties. This is in line with the usual practice of including integral action in a controller with the aim of improving its closed loop robustness. The fact that the method enhances the range of possible integral actions in the controller, enriched with this robustness property, allows us to assess it as a practically important complement to the well-known interconnection and damping assignment techniques developed in the framework of port-controlled Hamiltonian systems.
Content Matters: An Investigation of Feedback Categories within an ITS
Authors: G. Tanner Jackson, Arthur C. Graesser
Venue: Proceeding of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work (2007)

The primary goal of this study was to investigate the role of feedback in an intelligent tutoring system (ITS) with natural language dialogue. One core component of tutorial dialogue is feedback, which carries the primary burden of informing students of their performance. AutoTutor is an ITS with tutorial dialogue that was developed at the University of Memphis. This article addresses the effectiveness of two types of feedback (content & progress) while college students interact with AutoTutor on conceptual physics. Content feedback provides qualitative information about the domain content and its accuracy as it is covered in a tutoring session. Progress feedback is a quantitative assessment of the student's advancement through the material being covered (i.e., how far the student has come and how much farther they have to go). A factorial design was used that manipulated the presence or absence of both feedback categories (content & progress). Each student interacted with one of four different versions of AutoTutor that varied the type of feedback. Data analyses showed significant effects of feedback on learning and motivational measures, supporting the notion that “content matters” and the adage “no pain, no gain.”
User-designed information tools to support communication and care coordination in a trauma hospital
Authors: Ayse P. Gurses, Yan Xiao, Peter Hu
Venue: Journal of Biomedical Informatics (2009)

Background: In response to inherent inadequacies in health information technologies, clinicians create their own tools for managing their information needs. Little is known about these clinician-designed information tools. With greater appreciation for why clinicians resort to these tools, health information technology designers can develop systems that better meet clinicians' needs and that can also support clinicians in design and use of their own information tools. Objective: To describe the design characteristics and use of a clinician-designed information tool in supporting information transfer and care coordination Design: Observations, semi-structured interviews, and photographing were used to collect data. Participants were six nurse coordinators in a high-volume trauma hospital. Content analysis was carried out and interactions with information tools were analyzed. Results: Nurse coordinators used a paper-based information tool (a nurse coordinator's clipboard) that consisted of the compilation of essential data from disparate information sources. The tool was assembled twice daily through (1) selecting and formatting key data from multiple information systems (such as the unit census and the EHR), (2) data reduction (e.g., by cutting and whitening out non-essential items from the print-outs of computerized information systems), (3) bundling (e.g., organizing pieces of information and taping them to each other), and (4) annotating (e.g., through the use of colored highlighters and shorthand symbols). It took nurse coordinators an average of 41min to assemble the clipboard. The design goals articulated by nurse coordinators to fit the tool into their tasks included (1) making information compatible with the mobile nature of their work, (2) enabling rapid information access and note-taking under time pressure, and (3) supporting rapid information processing and attention management through the effective use of layout design, shorthand symbols, and color-coding. Conclusions: Clinicians design their own information tools based on the existing health information technologies to meet their information needs. The characteristics of these clinician-designed tools provide insights into the ''realities'' of how clinicians work with health information technologies. The findings suggest an often overlooked role for health information technologies: facilitating user creation of information tools that will best meet their needs.