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Preliminary Design of a Network Protocol Learning Tool Based on the Comprehension of High School Students: Design by an Empirical Study Using a Simple Mind Map
The purpose of this study is to develop a learning tool for high school students studying the scientific aspects of information and communication net- works. More specifically, we focus on the basic principles of network proto- cols as the aim to develop our learning tool. Our tool gives students hands-on experience to...
A methodology for the physically accurate visualisation of roman polychrome statuary
This paper describes the design and implementation of a methodology for the visualisation and hypothetical virtual reconstruction of Roman polychrome statuary for research purposes. The methodology is intended as an attempt to move beyond visualisations which are simply believable towards a more physically accurate app...
Comparison of GARCH, Neural Network and Support Vector Machine in Financial Time Series Prediction
This article applied GARCH model instead AR or ARMA model to compare with the standard BP and SVM in forecasting of the four international including two Asian stock markets indices.These models were evaluated on five performance metrics or criteria. Our experimental results showed the superiority of SVM and GARCH model...
Identifying Psychological Theme Words from Emotion Annotated Interviews
Recent achievements in Natural Language Processing (NLP) and Psychology invoke the challenges to identify the insight of emotions. In the present study, we have identified different psychology related theme words while analyzing emotions on the interview data of ISEAR (International Survey of Emotion Antecedents and Re...
Multisymplectic Spectral Methods for the Gross-Pitaevskii Equation
Recently, Bridges and Reich introduced the concept of multisymplectic spectral discretizations for Hamiltonian wave equations with periodic boundary conditions [5]. In this paper, we show that the ID nonlinear Schrodinger equation and the 2D Gross-Pitaevskii equation are multi-symplectic and derive multi-symplectic spe...
Relational Abstract Interpretation of Higher Order Functional Programs (extended abstract)
Most applications of the abstract interpretation framework[2] have been foranalyzing functional programs use functions on abstract values to approxi-mate functions, thus assuming that functions may be called at all arguments.When the abstract domain is finite, this approach can easily be generalizedto higher order funct...
Speech training systems using lateral shapes of vocal tract and F1-F2 diagram for hearing-impaired children
Three speech training systems for hearing-impaired children were designed and constructed using a minicomputer and a microprocessor. The first system displays the lateral shape of the vocal tract for each vowel estimated from the speech sound. In this system, three storages are prepared. One of them can be used to stor...
Knowledge Engineering for Affective Bi-Modal Interaction in Mobile Devices
This paper focuses on knowledge engineering for the development of a system that provides affective interaction in mobile devices. The system bases its inferences about users' emotions on user input evidence from the keyboard and the microphone of the mobile device. For this purpose different experimental studies have ...
Link-time compaction of MIPS programs
Embedded systems often have limited amounts of available memory, thus encouraging the development of compact programs. This paper presents a link-time program compactor for the embedded MIPS architecture. The application of several important data flow and control flow analyses and the related program transformations at...
Leveraging legacy code to deploy desktop applications on the web
Xax is a browser plugin model that enables developers to leverage existing tools, libraries, and entire programs to deliver feature-rich applications on the web. Xax employs a novel combination of mechanisms that collectively provide security, OS-independence, performance, and support for legacy code. These mechanisms ...
A pedestrian navigation method for user's safe and easy wayfinding
In recent years, most of mobile phones have a function of pedestrian navigation guidance. It was reported that users sometimes feel anxiety because of low accuracy of the position estimation especially in urban area and delay of information updating. In order to reduce the anxiety, a route planning algorithm is propose...
Word pairs in language modeling for information retrieval
Previous language modeling approaches to information retrieval have focused primarily on single terms. The use of bigram models has been studied, but the restriction on word order and adjacency may not be justified for information retrieval. We propose a new language modeling approach to information retrieval that inco...
Leakage-Resilient spatial encryption
Spatial encryption is a generic public-key cryptosystem where vectors play the role of public keys and secret keys are associated to affine spaces. Any secret key associated to a space can decrypt all ciphertexts encrypted for vectors in that space, and the delegation relation is defined by subspace inclusion. Though s...
On system rollback and totalized fields: An algebraic approach to system change
In system operations the term rollback is often used to imply that arbitrary changes can be reversed i.e. ‘rolled back’ from an erroneous state to a previously known acceptable state. We show that this assumption is flawed and discuss error-correction schemes based on absolute rather than relative change.#R##N##R##N#In...
Model-Driven Strategic Awareness: From a Unified Business Strategy Meta-Model (UBSMM) to Enterprise Architecture
Business strategy should be well understood in order to support an enterprise to achieve its vision and to define an architecture supporting that vision. While business views are identified in many Enterprise Architecture (EA) proposals, business strategy formulations from the area of Strategic Management are overlooke...
FTP Mirror Tracker: A Few Steps Towards URN
FTP Mirror Tracker is a software package (written in Perl and C++) that enables transparent, user-controlled redirection to the nearest anonymous FTP mirror sites that are exact replicas of the original source. This redirection can be achieved by using a Web Cache server or by making HTTP requests to the FTP Mirror Tra...
Information Systems Uncertainty Design and Implementation Combining: Rough, Fuzzy, and Intuitionistic Approaches
There are a number of alternative techniques for dealing with uncertainty. Here we discuss rough set, fuzzy rough set, and intuitionistic rough set approaches andhowtoincorporateuncertaintymanagementusingthemintherelationaldatabase model. The impacts of rough set techniques on fundamental database concepts such as func...
Breast Cancer Identification Based on Thermal Analysis and a Clustering and Selection Classification Ensemble
Breast cancer is the most common form of cancer in women. Early diagnosis is necessary for effective treatment and therefore of crucial importance. Medical thermography has been demonstrated an effective and inexpensive method for detecting breast cancer, in particular in early stages and in dense tissue. In this paper...
Automated Object Identification and Position Estimation for Airport Lighting Quality Assessment
The development of an automated system for the quality assessment of aerodrome ground lighting (AGL), in accordance with associated standards and recommendations, is presented. The system is composed of an image sensor, placed inside the cockpit of an aircraft to record images of the AGL during a normal descent to an a...
Quality Assessment on User Generated Image for Mobile Search Application
Quality specified image retrieval is helpful to improve the user experiences in mobile searching and social media sharing. However, the model for evaluating the quality of the user generated images, which are popular in social media sharing, remains unexploited. In this paper, we propose a scheme for quality assessment...
Traveling wave solutions of the n-dimensional coupled Yukawa equations
We discuss traveling wave solutions to the Yukawa equations, a system of nonlinear partial differential equations which has applications to meson–nucleon interactions. The Yukawa equations are converted to a six-dimensional dynamical system, which is then studied for various values of the wave speed and mass parameter....
Multi-layer topology preserving mapping for K-means clustering
In this paper, we investigate the multi-layer topology preserving mapping for K-means. We present a Multi-layer Topology Preserving Mapping (MTPM) based on the idea of deep architectures. We demonstrate that the MTPM output can be used to discover the number of clusters for K-means and initialize the prototypes of K-me...
A general semantic analyser for data base access
The paper discusses the design principles and current status of a natural language front end for access to data bases. This Is based on the use, first, of a semantically-oriented question analyser exploiting general, language-wide semantic categories and patterns, rather than data base-specific ones; and, second, of a ...
Interval Abstraction Refinement for Model Checking of Timed-Arc Petri Nets
State-space explosion is a major obstacle in verification of time-critical distributed systems. An important factor with a negative influence on the tractability of the analysis is the size of constants that clocks are compared to. This problem is particularly accented in ex- plicit state-space exploration techniques. ...
Kernel PLS variants for regression
We focus on covariance criteria for flnding a suitable sub- space for regression in a reproducing kernel Hilbert space: kernel princi- pal component analysis, kernel partial least squares and kernel canonical correlation analysis, and we demonstrate how this flts within a more gen- eral context of subspace regression. ...
Two notes from experimental study on image steganalysis
In recent years, several advanced methods for image steganalysis were proposed. During research process, some concerns are more and more addressed by steganalyzer. In this paper, we focus on several of these concerns. The first one is how to utilize SVM classifier in practical steganalysis, we use clustering analysis t...
Experimental Validation of a Rapid, Adaptive Robotic Assessment of the MCP Joint Angle Difference Threshold
This paper presents an experimental evaluation of a rapid, adaptive assessment of the difference threshold (DL) of passive metacar- pophalangeal index finger joint flexion using a robotic device. Parameter Estimation by Sequential Testing (PEST) is compared to the method of constant stimuli (MOCS) using a two-alternati...
Monetization as a Motivator for the Freemium Educational Platform Growth
The paper describes user behavior as a result of introducing monetization in the freemium educational online platform. Monetization resulted in alternative system growth mechanisms, causing viral increase in the number of users. Given different options, users choose the most advantageous and simple ones for them. Syste...
Learning of abstractions from structural descriptions of pictures
The acquisition of concepts induced by structural descriptions of pictures is discussed and a representation scheme is presented which allows the construction of various abstractions based on different points of views and their storage in a simulated associative memory.
Hypergraph Transversal Computation with Binary Decision Diagrams
We study a hypergraph transversal computation: given a hypergraph, the problem is to generate all minimal transversals. This problem is related to many applications in computer science and vari- ous algorithms have been proposed. We present a new efficient algorithm using the compressed data structures BDDs and ZDDs, a...
A Comparative Study of Scrum and Kanban Approaches on a Real Case Study Using Simulation
We present the application of software process modeling and simulation using an agent-based approach to a real case study of soft- ware maintenance. The original process used PSP/TSP; it spent a large amount of time estimating in advance maintenance requests, and needed to be greatly improved. To this purpose, a Kanban...
Acquiring entailment pairs across languages and domains: a data analysis
Entailment pairs are sentence pairs of a premise and a hypothesis, where the premise textually entails the hypothesis. Such sentence pairs are important for the development of Textual Entailment systems. In this paper, we take a closer look at a prominent strategy for their automatic acquisition from newspaper corpora,...
The role of the community in a technical support community: a case study
Resource tagging has become an integral and important feature in enabling community users to easily access relevant content in a timely manner. Various methods have been proposed and implemented to optimize the identification of and access to tags used to characterize resources across different types of social web-base...
PSO-Based Design of RF Integrated Inductor
This paper addresses an optimization-based approach for the design of RF integrated inductors. The methodology presented deals with the complexity of the design problem by formulating it as a multi-objective optimization. The multi-modal nature of the underlying functions combined with the need to be able to explore de...
Context-Aware Staged Configuration of Process Variants@Runtime
Process-based context-aware applications are increasingly be- coming more complex and dynamic. Besides the large sets of process vari- ants to be managed in such dynamic systems, process variants need to be context sensitive in order to accommodate new user requirements and intrinsic complexity. This paradigm shift for...
Inserting rhetorical predicates for quasi-abstractive summarization
We investigate the problem of inserting rhetorical predicates (e.g. "to present", "to discuss", "to indicate", "to show") during non extractive summary generation and compare various algorithms for the task which we trained over a set of human written summaries. The algorithms which use a set of features previously int...
GTP supertrees from unrooted gene trees: linear time algorithms for NNI based local searches
Gene tree parsimony (GTP) problems infer species supertrees from a collection of rooted gene trees that are confounded by evolutionary events like gene duplication, gene duplication and loss, and deep coalescence. These problems are NP-complete, and consequently, they often are addressed by effective local search heuri...
Distributed computing in sensor networks using multi-agent systems and code morphing
We propose and show a parallel and distributed runtime environment for multi-agent systems that provides spatial agent migration ability by employing code morphing. The focus of the application scenario lies on sensor networks and low-power, resource-aware single System-On-Chip designs. An agent approach provides stron...
Electronic Medical Record (EMR) Utilization for Public Health Surveillance
Introduction: Public health surveillance systems need to be refined. We intend to use a generic approach for early identification of patients with severe influenza-like illness (ILI) by calculating a score that estimates a patient’s disease-severity. Accordingly, we built the Intelligent Severity Score Estimation Model...
Load Balancing for Imbalanced Data Sets: Classifying Scientific Artefacts for Evidence Based Medicine
Data skewness is a challenge encountered, in particular, when apply- ing supervised machine learning approaches in various domains, such as in healthcare and biomedical information engineering. Evidence Based Medicine (EBM) is a clinical strategy for prescribing treatment based on current best evi- dence for individual...
Towards intelligent distributed computing : cell-oriented computing
Distributed computing systems are of huge importance in a number of recently established and future functions in computer science. For example, they are vital to banking applications, communication of electronic systems, air traffic control, manufacturing automation, biomedical operation works, space monitoring systems ...
Improving the optimal bounds for black hole search in rings
In this paper we re-examine the well known problem of asynchronous black hole search in a ring. It is well known that at least 2 agents are needed and the total number of agents' moves is at least Ω(n log n); solutions indeed exist that allow a team of two agents to locate the black hole with the asymptotically optimal...
WorkCellSimulator: a 3d simulator for intelligent manufacturing
This paper presents WorkCellSimulator, a software platform that allows to manage an environment for the simulation of robot tasks. It uses the most advanced artificial intelligence algorithms in order to define the production process, by controlling one or more robot manipulators and machineries present in the work cel...
How Preprocessing Affects Unsupervised Keyphrase Extraction
Unsupervised keyphrase extraction techniques generally consist of candidate phrase selection and ranking techniques. Previous studies treat the candidate phrase selection and ranking as a whole, while the effectiveness of identifying candidate phrases and the impact on ranking algorithms have remained undiscovered. Thi...
COCA filters: co-occurrence aware bloom filters
We propose an indexing data structure based on a novel variation of Bloom filters. Signature files have been proposed in the past as a method to index large text databases though they suffer from a high false positive error problem. In this paper we introduce COCA Filters, a new type of Bloom filters which exploits the...
SPIN Query Tools for De-identified Research on a Humongous Database
The Shared Pathology Informatics Network (SPIN), a research initiative of the National Cancer Institute, will allow for the retrieval of more than 4 million pathology reports and specimens. In this paper, we describe the special query tool as developed for the Indianapolis/Regenstrief SPIN node, integrated into the eve...
AST Pre-Processing For The Sliding Window Method Using Genetic Algorithms.
Modular exponentiation is a cornerstone operation to several public-key cryptography systems such as the RSA. It is performed using successive modular multiplications. The latter is time consuming for large operands. Accelerating public-key cryptography software or hardware needs reducing the total number of modular mu...
UNT: A Supervised Synergistic Approach to Semantic Text Similarity
This paper presents the systems that we participated with in the Semantic Text Similarity task at SEMEVAL 2012. Based on prior research in semantic similarity and relatedness, we combine various methods in a machine learning framework. The three variations submitted during the task evaluation period ranked number 5, 9 ...
Robustness of prosodic features to voice imitation
Comunicacio presentada a 9th Annual Conference of the International Speech Communication Association celebrada a Brisbane (Australia) del 22 al 26 de setembre de 2008.
PIQASso: PIsa Question Answering System
PiQASso is a Question Answering system based on a combination of modern IR techniques and a series of semantic filters for selecting paragraphs containing a justifiable answer. Semantic filtering is based on several NLP tools, including a dependency-based parser, a POS tagger, a NE tagger and a lexical database. Semant...
Sleep musicalization: automatic music composition from sleep measurements
We introduce data musicalization as a novel approach to aid analysis and understanding of sleep measurement data. Data musicalization is the process of automatically composing novel music, with given data used to guide the process. We present Sleep Musicalization, a methodology that reads a signal from state-of-the-art...
A Distributed Dynamic Mobility Architecture with Integral Cross-Layered and Context-Aware Interface for Reliable Provision of High Bitrate mHealth Services
Mobile health (mHealth) has been receiving more and more attention recently as an emerging paradigm that brings together the evolution of advanced mobile and wireless communication technologies with the vision of "connected health" aiming to deliver the right care in the right place at the right time. However, there ar...
Des séquences aux tendances.
Les donnees temporelles peuvent etre traitees de nombreuses facons afin d'en extraire des connaissances. La decouverte de motifs sequentiels met en evidence des sous-sequences frequentes contenues dans des sequences d'enregistrements annotes temporellement. L'analyse des acces a un site web permet par exemple de decouv...
Traffic observation and situation assessment
Utilization of camera systems for surveillance tasks (e. g. traffic monitoring) has become a standard procedure and has been in use for over 20 years. However, most of the cameras are operated locally and data analyzed manually. Locally means here a limited field of view and that the image sequences are processed indep...
Structure and Practice of "Four in One" Hybrid-Practice Teaching Mode
Yunnan Radio and TV University tried to "explore the Open Univer- sity building model" that was approved by the State Council in October 2010. Having tried for more than two years, the university explores building the "Four in One" hybrid-practice teaching model which is an integration of network virtual training, enti...
Mobilizing the semantic web with DAML-enabled web services
The Web is evolving from a repository for text and images to a provider of services - both information-providing services, and services that have some effect on the world. Today's Web was designed primarily for human use. To enable reliable, large-scale automated interoperation of services by computer programs or agent...
Exponentially Smoothed Interactive Gaze Tracking Method
Gaze tracking is an aspect of human-computer interaction still growing in popularity. Tracking human eye fixation points can help control user interfaces and eventually may help in the interface evalu- ation or optimization. Unfortunately professional eye-trackers are very expensive and thus hardly available for resear...
Search lessons learned from crossword puzzles
The construction of a program that generates crossword puzzles is discussed. As in a recent paper by Dechter and Meiri, we make an experimental comparison of various search techniques. The conclusions to which we come differ from theirs in some areas - although we agree that directional arc consistency is better than p...
On the structure of recognizable languages of dependence graphs
Dans le cadre de la theorie des traces, un graphe de dependance represente le comportement d'un systeme distribue (par exemple un reseau de Petri) par analogie avec la relation mot-automate dans le cas sequentiel. Un langage reconnaissable de graphes de dependances represente ainsi l'ensemble de tous les comportements ...
All brutes are Subhuman: Aristotle and Ockham on private negation
The mediaeval logic of Aristotelian privation, represented by Ockham's expositionof All A is non-P as All S is of a type T that is naturally P and no S is P, iscritically evaluated as an account of privative negation. It is argued that there aretwo senses of privative negation: (1) an intensifier (as in subhuman), the ...
On The Generalization of Fuzzy Rough Approximation Based on Asymmetric Relation
An asymmetric relation, called a weak similarity relation, is introduced as a more realistic relation in representing the relationship between two elements of data in a real-world application. A conditional probability relation is considered as a concrete example of the weak similarity relation by which a covering of t...
On Lascar rank in non-multidimensional omega-stable theories.
This chapter considers ‘T’ to be a countable complete ω -stable theory. The notion “dimension” is used for classes of non-orthogonal regular types over models. T is nonmultidimensional if the number μ (T) of dimensions is bounded. Models of non-multidimensional ω-stable theories can be classified by μ (T)-tuples of car...
Soft Systems Methodology for Hard Systems Engineering - The Case of Information Systems Development at LIT/INPE/BRAZIL
The Soft Systems Methodology (SSM) was developed to deal with soft systems, systems in which the human components predominate. Any kind of soft- ware is a hard system, since technical factors predominate in it. But when the software is a component of an Information System its success depends heavily on soft aspects. Th...
Receive antenna selection for uplink multiuser MIMO systems over correlated rayleigh fading channels
Channel correlation has the effect to reduce the sum rate and user capacity of multiuser multi-input multi-output (MU-MIMO) systems considerably. In this paper, receive antenna selection is proposed for uplink MU-MIMO system to maximize the sum rate and to maintain high user capacity over correlated Rayleigh fading cha...
Conceptual Indexing: Practical Large-Scale AI for Efficient Information Access
Finding information is a problem shared by people and intelligent systems. This paper describes an experiment combining both human and machine aspects in a knowledgebased system to help people find information in text. Unlike many previous attempts, this system demonstrates a substantial improvement in search effective...
Optional finer granularity in an open learner model
Open learner models (OLMs) available independently from specific tutoring or guidance, such as an intelligent tutoring system may provide, can encourage learners to take greater responsibility for learning., Our results suggest that finer grained OLM information, in this context, can support learners in identifying str...
Engaging learning groups using Social Interaction Strategies
Conversational Agents have been shown to be effective tutors in a wide range of educational domains. However, these agents are often ignored and abused in collaborative learning scenarios involving multiple students. In our work presented here, we design and evaluate interaction strategies motivated from prior research...
Simultaneously resettable arguments of knowledge
In this work, we study simultaneously resettable arguments of knowledge. As our main result, we show a construction of a constant-round simultaneously resettable witness-indistinguishable argument of knowledge (simresWIAoK, for short) for any NP language. We also show two applications of simresWIAoK: the first constant...
Model Development in the UML-based Specification Environment (USE)
The tool USE (UML-based Specification Environment) supports analysts,#R##N#designers and developers in executing UML models and checking OCL#R##N#constraints and thus enables them to employ model-driven techniques#R##N#for software production. USE has been developed since 1998 at the#R##N#University of Bremen. This pap...
A Scientometrics Study of Rough Sets in Three Decades
Rough set theory has been attracting researchers and practitioners over three decades. The theory and its applications experienced unprecedented prosperity especially in the recent ten years. It is essential to explore and review the progress made in the field of rough sets. Mainly based on Web of Science database, we ...
Attaching multiple personal identifiers in X.509 digital certificates
The appeals for interoperable and decentralized Electronic Identity Management are rapidly increasing, especially since their contribution towards interoperability across the entire "electronic" public sector, effective information sharing and simplified access to electronic services, is unquestioned. This paper presen...
Noise Robust Feature Extraction for ASR using the Aurora 2 Database
Four front-end processing techniques developed for noise robust speech recognition are tested with the Aurora 2 database. These techniques include three previously published algorithms: variable frame rate analysis [Zhu and Alwan, 2000], peak isolation [Strope and Alwan, 1997], and harmonic demodulation [Zhu and Alwan,...
Fully utilize feedbacks: language model based relevance feedback in information retrieval
Relevance feedback algorithm is proposed to be an effective way to improve the precision of information retrieval. However, most researches about relevance feedback are based on vector space model, which can't be used in other more complicated and powerful models, such as language model and logic model. Meanwhile, othe...
Teaching and Learning in Technical IT Courses
In this chapter, I discuss my experiences applying Problem-Based Learn- ing to technical IT courses such as mathematics and computer application design and programming. One of the hallmarks of nearly any technical concentration is a critical need to develop strong individual, and typically challenging, technical skill ...
Ontology as a Source for Rule Generation
This paper discloses the potential of OWL (Web Ontology Language) ontologies for generation of rules. The main purpose of this paper is to identify new types of rules, which may be generated from OWL ontologies. Rules, generated from OWL ontologies, are necessary for the functioning of the Semantic Web Expert System. I...
High Dimensional Search Using Polyhedral Query
It is well known that, as the dimensionality of a metric space increases, metric search techniques become less effective and the cost of indexing mechanisms becomes greater than the saving they give. This is due to the so-called curse of dimensionality. One effect of increasing dimensionality is that the ratio of unit ...
Automatic pipeline construction for real-time annotation
Many annotation tasks in computational linguistics are tackled with manually constructed pipelines of algorithms. In real-time tasks where information needs are stated and addressed ad-hoc, however, manual construction is infeasible. This paper presents an artificial intelligence approach to automatically construct ann...
Improving the Forward Chaining Algorithm for Conceptual Graphs Rules
Simple Conceptual Graphs (SGs) are used to represent entities and relations between these entities: they can be translated into positive, conjunctive, existential first-order logics, without function symbols. Sound and complete reasonings w.r.t. associated logic formulas are obtained through a kind of graph homomorphis...
Fusion of local features for face recognition by multiple least square solutions
In terms of supervised face recognition, linear discriminant analysis (LDA) has been viewed as one of the most popular approaches during the past years. In this paper, taking advantage of the equivalence between LDA and the least square problem, we propose a new fusion method for face classification, based on the combi...
Ehipasiko: A Content-based Image Indexing and Retrieval System
Presently, retrieving images from a digital library requires different retrieval techniques to those used to retrieve text documents. In this paper, we demonstrate the possibility of converting the contents of images into texts, which enables us to utilise text-base retrieval techniques for image retrieval. The potenti...
Semantic Alliance: a framework for semantic allies
We present an architecture and software framework for semantic allies: Semantic systems that complement existing software applications with semantic services and interactions based on a background ontology. On the one hand, our Semantic Alliance framework follows an invasive approach: Users can profit from semantic tec...
Towards an Organizational MAS Methodology
Organizations are a powerful way to coordinate complex behavior in human society. Thus, human organizations can serve as a basis for better understanding and designing open multi-agent systems. Organizational models have been recently used in agent theory for modelling coordination in open systems and to ensure social ...
Adaptive localization in a dynamic WiFi environment through multi-view learning
Accurately locating users in a wireless environment is an important task for many pervasive computing and AI applications, such as activity recognition. In a WiFi environment, a mobile device can be localized using signals received from various transmitters, such as access points (APs). Most localization approaches bui...
A 2.7 Gcps and 7-Multiplexing CDMA Serial Communication Chip for Real-Time Robot Control with Multiprocessors
Intelligent robot control using multiprocessors, sensors, and actuators requires real-time flexible networks for communicating various types of real-time data, e.g., sensing data and interrupt signals. Furthermore, serial data transfer is required for implementing the network using a few wiring lines. To meet these req...
Integrating provenance into an operational data product information system
Knowledge of how a science data product has been generated is a critical component to determining its fitness-for-use for a given analysis. One objective of science information systems is to allow users to search for data products based on a wide range of criteria; spatial and temporal extent, observed parameter, resea...
Querying in spaces of music information
This study is focused on querying accomplished on structured spaces of information. Querying is understood in terms of mining structures of information and of knowledge understanding. We consider information as a subject of descriptions expressed in some language. Information is hidden behind such descriptions. Operati...
Agricultural Knowledge Management Systems in Practice: The Ability to Support Wereda Knowledge Centers in Ethiopia
Agriculture is the dominant sector in the Ethiopian economy but it is characterized by low productivity. Ethiopia is interested in creating access to agricultural knowledge through an agricultural knowledge management system (AKMS). Such a system has been developed using a web-based portal named Ethiopian Agriculture P...
Learning to Merge Word Senses
It has been widely observed that different NLP applications require different sense granularities in order to best exploit word sense distinctions, and that for many applications WordNet senses are too fine-grained. In contrast to previously proposed automatic methods for sense clustering, we formulate sense merging as...
Optimizing Network Patching Policy Decisions
Patch management of networks is essential to mitigate the risks from the exploitation of vulnerabilities through malware and other attacks, but by set- ting too rigorous a patching policy for network devices the IT security team can also create burdens for IT operations or disruptions to the business. Different patch d...
A streaming digital ink framework for multi-party collaboration
We present a framework for pen-based, multi-user, online collaboration in mathematical domains. This environment provides participants, who may be in the same room or across the planet, with a shared whiteboard and voice channel. The digital ink stream is transmitted as InkML, allowing special recognizers for different...
Normalization of place/transition-systems preserves net behaviour
Nous considerons dans cet article des reseaux de Petri etiquetes sans λ. On les appelle normalises si leurs arcs ne sont pas values et si leurs marquages initiaux et finals sont des sous-ensembles de l'ensemble des places. Nous prouvons que tout reseau de Petri general peut etre (effectivement) transforme en un reseau ...
Precision and negative predictive value of links between ClinicalTrials.gov and PubMed.
One of the goals of translational science is to shorten the time from discovery to clinical use. Clinical trial registries were established to increase transparency in completed and ongoing clinical trials, and they support linking trials with resulting publications. We set out to investigate precision and negative pre...
Machine learning for information extraction from XML marked-up text on the semantic web
The last few years have seen an explosion in the amount of text becoming available on the World Wide Web as online communities of users in diverse domains emerge to share documents and other digital resources. In this paper we explore the issue of how to provide a low-level information extraction tool based on hidden M...
Authentication Services in Mobile Networks
Authentication, Authorization, and Accounting (AAA) technologies are widely considered to be the key to the growth of e-commerce. Mobile network operators may be one of the first to offer such services thanks to a number of advantages. They will face some issues, however, if they attempt to launch AAA services for e-co...
Fuzzy clustering of the self-organizing map: some applications on financial time series
The Self-organizing map (SOM) has been widely used in financial applications, not least for time-series analysis. The SOM has not only been utilized as a stand-alone clustering technique, its output has also been used as input for second-stage clustering. However, one ambiguity with the SOM clustering is that the degre...
Re-grasping: improving capability for multi-arm-robot-system by dynamic reconfiguration
In previous works a novel flexible and versatile handling concept, called PARAGRIP(Parallel Gripping), was introduced. This concept is based ona reconfigurable architecture with a modular and alterable layout. The robot system is able to handle objects with six DOF by forming a parallel kinematic structure including se...
Modeling, Simulation, and Optimization of Supply Chains: A Continuous Approach
This book offers a state-of-the-art introduction to the mathematical theory of supply chain networks, focusing on supply chain networks described by partial differential equations (PDEs). The authors discuss modeling of complex supply networks as well as their mathematical theory; explore modeling, simulation, and opti...
Empirical assessment of business model transformations based on model simulation
Business processes are recognized by organizations as one of the most important intangible assets, since they let organizations improve their competitiveness. Business processes are supported by enterprise information systems, which can evolve over time and embed particular business rules that are not present anywhere ...
Cooperation between the Inference System and the Rule Base by Using Multiobjective Genetic Algorithms
This paper presents an evolutionary Multiobjective learning model achieving positive synergy between the Inference System and the Rule Base in order to obtain simpler and still accurate linguistic fuzzy models by learning fuzzy inference operators and applying rule selection. The Fuzzy Rule Based Systems obtained in th...
A type-theoretical approach for ontologies: The case of roles
In the domain of ontology design as well as in Knowledge Representation, modeling universals is a challenging problem. Most approaches that have addressed this problem rely on Description Logics (DLs) but many difficulties remain , due to under-constrained representation which reduces the inferences that can be drawn a...
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