bluuebunny/crossref_metadata_2025 huggingface dataset:
Pressiomètre, surconsolidation et tassement dans les sols fins
Authors: Baguelin F.  , Lay L.  , Ung S.Y.  , Sanfratello J.P.
Published: February 2025

On confronte les résultats des deux formules de tassement pressiométrique, l'une relative aux remblais et radiers, l'autre relative aux semelles, aux valeurs mesurées sur 15 remblais ou radiers et sur 19 semelles. La comparaison donne des résultats concordants et acceptables en pratique. La différence entre les deux formules est ensuite expliquée en relation avec la pression de surconsolidation des sols fins, en particulier à l'aide d'une étude théorique menée avec le modèle de comportement “Soft Soil” du logiciel d'éléments finis Plaxis. Elle confirme que le modèle élastique seul ne rend pas compte des déformations plastiques de volume immédiatement sous la semelle, et que la valeur classique E=EM/α, applicable sous les remblais et radiers, n'est pas un module élastique, et est trop défavorable pour les semelles, ou d'une manière plus générale, pour les ouvrages travaillant dans le domaine surconsolidé.
Behavior of Asunción's cemented sands
Authors: Andrada J.C.  , Andrada R.
Published: February 2025

The imperious need to determine the geotechnical properties of the cemented sands of the city of Asunción and to obtain a knowledge closer to reality of the behavior of these soils under load at its natural state, as well as the determination of the characteristics and factors that influence their behavior, leads to the need of performing in-situ load tests. New equipments were designed and built and procedures were established both for the performance of load tests as well as for the extraction of samples. A great deal of information was obtained and used to establish correlations between the values of in-situ strength and deformation of the cemented sands of Asunción in their natural condition and the results of the tests obtained in the laboratory.
Parts, Compositions and Decompositions of Functions in Engineering Ontologies
Authors: Vermaas Pieter E.
Published: February 2025

In this paper I explore the possibility of introducing in engineering ontologies a generic part-whole relation for functions of technical artefacts by functional composition or functional decomposition. I show by means of the postulates of mereology that general functional compositions and decompositions cannot define such a relation. Yet, one can argue that functional decompositions that are acceptable in engineering may define a proper generic part-whole relation for functions. This possibility requires that (i) the part-whole relation is relative to the specific organisation of functions in decompositions, (ii) there is no strict symmetry between functional composition and decomposition, and (iii) functional decomposition is not transitive.
Coherence as an Inclusive Notion of Rationality
Authors: Joseph Sindhu  , Schorlemmer Marco  , Sierra Carles
Published: February 2025

We propose a method based on coherence maximisation based on Thagard's theory of coherence to model rational behaviour. We show that the traditional analysis of behaviour based on utility functions can be emulated using our approach and prove that the maximum element of a preference ordering is the same as that found by coherence maximisation over an automatically generated coherence graph. In addition, it is easy and natural to model the dynamism and uncertainty of the beliefs of a rational agent with this approach. We illustrate the theorem by modelling the prisoner's dilemma.
Appearance-Based SLAM for Mobile Robots
Authors: Bacca Bladimir  , Salvi Joaquím  , Cufí Xavier
Published: February 2025

This paper reviews new challenges in the area of long-term navigation, and new approaches to environment representation and robots capable of coping with dynamic environments. As a result of this review, we propose an appearancebased simultaneous localization and mapping (SLAM) solution which represents the robot environment using an appearance-based topological map. Dynamic environment changes are dealt with using human memory and fixed action pattern concepts. The former is used to build a histogram to register local feature stability, the latter for robot navigation purposes. We take omnidirectional vision and laser range data to extract textured 2D scans as global features, and textured-vertical edges as local features for map updating and robot localization. From the navigational point of view, we consider visual potential field-based behavior to adjust high level motion commands.
Intensive Computational Forecasting Approach to the Functional Demographic Lee Carter Model
Authors: D'Amato Valeria  , Piscopo Gabriella  , Russolillo Maria
Published: February 2025

Several approaches have been developed for forecasting mortality using stochastic model. In particular, the Lee Carter model (1992) has become widely used and there have been various extensions and modifications proposed to attain a broader interpretation and to capture the main features of the dynamics of the mortality intensity. Hyndman and Ullah (2005). introduce a particular version of the Lee Carter methodology, the so-called Functional Demographic Model – FDM, the most accurate approach as regards some mortality data, particularly for longer forecast horizons where the benefit of a damped trend forecast is greater. The paper objective is properly to single out the most suitable model between the basic Lee Carter and the FDM to the Italian mortality data. A comparative assessment is made. Moreover, we provide information on the uncertainty affecting the forecasted quantities by using bootstrap technique. The empirical results are presented using a range of graphical analyses.
Conflicts in the Middle-East. Who are the actors? What are their relations? A fuzzy LOGICal analysis for IL-LOGICal Conflicts
Authors: Ricci Gianni  , Facchinetti Gisella  , Mastroleo Giovanni  , Franci Francesco  , Pagliaro Vittorio
Published: February 2025

Will mathematics be useful in overcoming the crisis in the Middle-East Area? The classical decisions methods are based only on numbers and do not include qualitative aspects which can add important and significant meanings to the subject. Furthermore, Mathematics is often reviled and considered unpleasant or difficult to be comprehended and so social researchers prefer to have nothing to do with it. The recent development of Fuzzy Logic has opened the possibility of new applications in situations in which both numbers and adjectives are important and have to be treated, simultaneously and on an equal standing; a mathematical theory where the traditional concept of true or false can be enriched by true and false. A Fuzzy Cognitive Map of the conflicts in the Middle-East has been realized and has been used to evaluate the failure of diplomatic and political efforts with the consequent onset of war and conflict. The paper is the result of the uncommon but joint effort between mathematicians, social researchers, sociologists and information experts.
Transcription of polyphonic piano music by means of memory-based classification method
Authors: Costantini Giovanni  , Todisco Massimiliano  , Perfetti Renzo
Published: February 2025

Music transcription consists in transforming the musical content of audio data into a symbolic representation. The objective of this study is to investigate a transcription system for polyphonic piano. The proposed method focuses on temporal musical structures, note events and their main characteristics: the attack instant and the pitch. Onset detection exploits a time-frequency representation of the audio signal. Note classification is based on constant Q transform (CQT) and support vector machines (SVMs). Finally, to validate our method, we present a collection of experiments using a wide number of musical pieces of heterogeneous styles.
Chlorophyll-a Maps Estimation Combining High Spatial Imagery and Ground Data by Growing Cell Structures
Authors: Gonzalo Consuelo  , Delgado Soledad  , Lillo-Saavedra Mario  , Zambrano Francisco  , Martínez Estíbaliz  , Arquero Águeda
Published: February 2025

The main goal of this work is to prove the potentiality of a methodology which combines Growing Cell Structures (GCS), satellite imagery and in situ data to estimate spatial distribution of biophysical parameters involved in the determination of Trophic Level Index (TLI). In particular, in this work spatial chlorophyll-a distribution maps have been estimated. These maps have been also estimated for fused images, improving the results obtained for the original multispectral satellite images.
Estimating Evapotranspiration using Remote Sensing Techniques for the Sustainable Use of Irrigation Water in Agriculture
Authors: Hadjimitsis Diofantos G.  , Papadavid Giorgos  , Agapiou Athos
Published: February 2025

Water scarcity has always been a severe problem for agricultural purposes in Cyprus. Meteorological data refer to the problem since their existence. The authorities, responsible for this environmental, social and economic constraint, have managed a great development and deployment of a dam's network in order to save water from losses and use it during low rainfall years. Lately, Cyprus is facing a period with very low rainfall which has caused curtailments to irrigation water schedule, which in turn has resulted to very low or no yield for the seasonal and multiannual crops. The monitoring of agricultural areas in Cyprus provides important data for efficient water supply plans and for avoiding unnecessary water lost due to inefficient irrigation. Thus, the monitoring through Satellite Remote Sensing is an essential and useful tool to provide irrigation data for water demand management. There is a need for an effective method of establishing crop water use in large irrigation projects so that crop demand can be accurately met by supply in order to eliminate problems such as lack of up to date information on the cropped area, evaporative demand in the agricultural fields and water supply. The project aims to the sustainable use of irrigation water from both the competent authorities and the producers. The wise and sustainable use of irrigation water will result to higher efficiency and will increase the water reserve funds for the future generations. Sustainable use of irrigation water will preserve the agricultural activity alive. The aim of this paper is firstly to assess and apply some of the existing methods of determining the evapotranspiration and secondly to present our novel methodology. Indeed the novel approach consists an integration of the following: remote sensing data, meteorological data, in-situ spectroradiometric, sunphotometer measurements and micro sensor technology.
Additional Benefit of Image Fusion Method from combined High Resolution TerraSAR-X and Multispectral SPOT Data for Classification
Authors: Klonus Sascha  , Ehlers Manfred
Published: February 2025

In Image fusion the objective is generally to combine the spatial structure of a high resolution panchromatic image with the spectral information of a low resolution multispectral image to produce a high resolution multispectral image. The fused image should preserve the spectral characteristics of the multispectral image during the process and only the spatial structure of the panchromatic image should be inserted into the fused image. As a substitute for the panchromatic input we used image data of the German Radar satellite TerraSAR-X in this study. In the spotlight mode, the satellite is able to record data with one meter spatial resolution. The Radar image data was combined with SPOT multispectral data in a region in northern Spain. In this study we investigated if such an image fusion method could improve the results of a multispectral classification using unfiltered Radar image data as input for classification. Usually this would lead to worse classification results, because of its inherent speckle noise. This is especially true if the multispectral and the Radar image are from different dates. Therefore, only the highpass filtered information of the TerraSAR-X image is used during the fusion process. Use was made of the Ehlers Fusion, a fusion technique that was developed for preserving maximum spectral information. It has already proven its superiority over standard pansharpening techniques such as IHS, PC, Brovey, multiplicative fusion and Wavelet fusion methods. The Ehlers fusion is based on an IHS transformation combined with filtering in the Fourier domain and was developed for fusing panchromatic and multispectral electro-optical data. The Ehlers Fusion was then modified to integrate Radar data with optical data. Different classification algorithms were applied to show that the pansharpening method could improve the results, but this depends on the chosen classification algorithm.
Intensity of Soil Erosion by Water in Preserved and Burnt Stands of Aleppo pine (Pinus halepensis Mill.) in Croatia
Authors: Butorac Lukrecija  , Topić Vlado  , Jelić Goran
Published: February 2025

The problem of erosion is very prominent in Mediterranean karst area of Croatia, and one of the reason is the degraded forest ecosystems. The important relationship of soil erosion with the state of vegetation, its degradation stadiums and soil characteristics has been stated. It is widely known that the regression development of vegetation is followed by quick soil erosion, and its progression development causes only normal geologic erosion which is overwhelmed by soil formation. To state the impact of vegetation influence on the intensity of soil erosion by water in preserved and burned stands of Aleppo pine of the karst area of Croatia a forest experiment was made. On two experimental plots of 100 m2(20 x 5 m) during three years, from 2005–2007 the quantity and intensity of rainfall was observed, the surface flow off of rainfall and soil erosion. The results of research of given parameters are shown in this paper. The first experimental plot was set on the burnt area in forest ecosystem of Aleppo pine, GPS coordinates: N 43°33′, E 16°30′. The plot is set on eroded rendsina on marl, 20° inclination, sea level 212 m. The second experimental plot was set in the preserved stand of Aleppo pine of complete stand, GPS coordinates N 43°31′, E 16°32′, on inclination 26° and sea level 227 m. The plot is set on brown soil on marl, which is covered by thick layer of needles. The results show that in the time observed on burnt area 215 rainy days were recorded, out of which the surface flow off and soil erosion were caused in 71 cases. Surface runoff and soil erosion were caused by rainfall from 7.1 mm/m2to 78.6 mm/m2. The yearly value of erosion alluvium amounted to 0.1 t/ha, surface runoff 11.30 mm/m2, and the coefficient of runoff was from 0.0017 to 0.0824. In the preserved stand of Aleppo pine out of 215 rainy days, 59 were erodible. Surface runoff and soil erosion were caused by rainfall from 8.5 mm to 78.6 mm. Yearly value of erosion alluvium amounted to 0.015 t/ha, surface runoff 5.59mm/m2, the coefficient of surface runoff was between 0.0003 to 0.0162.
The Use of Ontology in Dental Restorative Treatment Decision Support System
Authors: Park Seon Gyu  , Lee Sungin  , Kim Myeng-Ki  , Kim Hong-Gee
Published: February 2025

Finding appropriate caries treatments is of paramount importance in dental decision making. That is, finding restorative treatment alternatives predicated on the dental disease and findings are advantageous and gainful in dental restorative decision making. The most immediate problem in clinical decision support systems in dentistry is to capture a doctor's clinical knowledge of treatments. This study is to specify the inter-relations among disease, anatomy, and treatment for restorative treatment decision support, and to conceptualize restorative treatment. As an explanatory example, we expound the developmental process of our ontology, and the formal approach used, for caries treatment.
Manageability of Future Internet Virtual Networks from a Practical Viewpoint
Authors: Rubio-Loyola J.  , Astorga A.  , Serrat J.  , Lefevre L.  , Cheniour A.  , Muldowney D.  , Davy S.  , Galis A.  , Mamatas L.  , Clayman S.  , Macedo D.  , Movahedi Z.  , Pujolle G.  , Fischer A.  , de Meer H.
Published: February 2025

The Autonomic Internet project [1] approach relies on abstractions and distributed systems of a five plane solution for the provision of Future Internet Services (OSKMV): Orchestration, Service Enablers, Knowledge, Management and Virtualisation Planes. This paper presents a practical viewpoint of the manageability of virtual networks, exercising the components and systems that integrate this approach and that are being validated. This paper positions the distributed systems and networking services that integrate this solution, focusing on the provision of Future Internet services for self-configuration and self-performance management scenes.
Modeling the economics of Loc/ID Split for the Future Internet
Authors: Iannone Luigi  , Levä Tapio
Published: February 2025

The network research community is actively working on the design of the Future Internet, aiming at solving scalability issues that the current Internet is facing. It is widely recognized that the Locator/ID Split paradigm fits well the requirements for the new, more scalable, Future Internet architecture. Both the academy and the industry have already produced several technical proposals, with their own peculiarities and merits. However, despite such an effort, it is still unclear, how the Locator/ID Split will be deployed, what are the drivers of its adoption, who will adopt it, and how the adoption process will most likely evolve in time. In this paper, we answer to these questions by presenting an adoption model for the Locator/ID Split paradigm.
Accelerating Media Business Developments with the MPEG Extensible Middleware
Authors: Timmerer Christian  , Chiariglione Filippo  , Preda Marius  , Doncel Victor Rodriguez
Published: February 2025

This document provides an overview of the MPEG Extensible Middleware (MXM), one of ISO/IEC MPEG's latest achievements, defining an architecture and corresponding application programming interfaces (APIs) which enable accelerated media business developments. The paper describes the vision behind MXM, its architecture, and a high level overview of the API. Additionally, example MXM applications are given.
Business Opportunities in Aircraft Cabin Conversion and Refurbishing
Authors: Niţă Mihaela F.  , Scholz Dieter
Published: February 2025

This paper identifies several meaningful business opportunity cases in the area of aircraft cabin conversion and refurbishing and predicts the market volume and the world distribution for each of them: 1.) international cabins, 2.) domestic cabins, 3.) aircraft on operating lease, 4.) freighter conversions and 5.) VIP completions. This implies the determination of cabin modification/conversion scenarios, along with their duration and frequency. Factors driving the cabin conversion and refurbishing are identified. Several aircraft databases, containing the current world feet as well as the forecasted fleet for the next years, are analyzed. The results are obtained by creating a program able to read and analyze the gathered data. It is shown that about 38000 cabin redesigns will be undertaken within the next 20 years. About 2500 conversions from jetliners into freighters and 25000 cabin modifications at VIP standards will emerge on the market. The North American and European markets will keep providing good business opportunities in this area. The Asian market, however, is growing fast, and its very strong influence on demand puts it in the front rank for the next 20 years.
Making Sense of the Master Data Management (MDM) Concept: Old Wine in New Bottles or New Wine in Old Bottles?
Authors: Sammon David  , Adam Frédéric  , Nagle Tadhg  , Carlsson Sven
Published: February 2025

This paper presents an insight into the emerging concept of Master Data Management (MDM) and highlights issues that both academics and business managers should consider to better understand the meaning of this ‘hot topic’. This critical reflection paper is forward looking and attempts to make sense of the MDM concept and highlight the issues associated with implementation. We argue that both the Data Warehousing and ERP concepts are the forerunners to the emergence of MDM. We argue that MDM is effectively Data Warehousing branded with ERP market rhetoric and contains an added repository of ‘master data’. We see MDM as another attempt at data integration due to the failure of previous Data Warehousing, ERP and ERPII/BI initiatives. Finally, we argue that more research should be conducted to fully appreciate the true meaning of the concept of MDM and MDM implementation.
Towards a cellular indexing in a case based reasoning approach: Application to an urban transportation system regulation
Authors: Amrani Fouzia  , Bouamrane Karim
Published: February 2025

This article concerns the regulation of an urban transportation system using a case based reasoning. This reasoning allows us to associate a profile scenario compared to the disturbances that appear on an urban transportation system. The Transport is essential for measuring the life quality of citizens; local officials have always given special attention. The proposed work contributes to advancing the issue of traffic regulation in an urban transportation system. The latter proposes a new indexing technique called cell technique compared to the classical indexing usually used in case based reasoning approaches. The result of the calculation of similarity between the disturbances is refined through a cell indexing process. This refinement is done by a Boolean Modelling Language (BML) adopted by the cell inference engine (CIE).
Identifying Recommendable Products based on Signal Detection Theory
Authors: Scholz Michael
Published: February 2025

Identifying products which are appropriate to fit the consumer's preferences has become a crucial process in electronic commerce. Many recommender systems have been examined to ensure adequate product recommendations. Some of these systems try to estimate the utility each product may provide to a particular consumer. Since selecting the best product is mostly not possible, the question of how many and which products are recommendable is imperative. In this paper we present an approach to distinguish between recommendable and not recommendable products based on their expected utility. Our approach uses signal detection theory to facilitate a theory-driven procedure for the distinction.
A Multi-INT Semantic Reasoning Framework for Intelligence Analysis Support
Authors: Janssen Terry  , Basik Herbert  , Dean Mike  , Smith Barry
Published: February 2025

Lockheed Martin Corp. has funded research to generate a framework and methodology for developing semantic reasoning applications to support the discipline of Intelligence Analysis. This chapter outlines that framework, discusses how it may be used to advance the information sharing and integrated analytic needs of the Intelligence Community, and suggests a system / software architecture for such applications.
Weldability of Al-Cu Alloy Sheet by Power Beam and FSW Processes
Authors: Okubo Michinori  , Hasegawa Toshiyuki  , Mitomi Hitoshi  , Iida Hideto  , Kamimura Naotaka
Published: February 2025

Joints of high tensile aluminum alloys can enhance design flexibility for various structures. Al-Cu alloy is an extensively used high tensile material. However, the conventional fusion welding of Al-Cu alloy is less weldable than Al-Mg alloys.
Fair Mechanisms for Recurrent Multi Unit Combinatorial Auctions
Authors: Murillo Javier  , López Beatriz
Published: February 2025

Auctions have been used to deal with resource allocation in multi-agent systems. In some environments like service-oriented electronic markets, it is advisable to use recurrent auctions since resources are perishable and auctions are repeated over time with the same or a very similar set of agents. Recurrent auctions are a sequence of one-shot auctions of any kind. As a drawback some problems do appear that could cause the market to collapse at mid-long term. Previous works have dealt with these problems by adding fairness to the auction outcomes but they dealt with multi-unit auctions, in which several units of an item are sold. In this paper, we present a new fair mechanism for multi-unit combinatorial auctions, in which different items, and several units per item are sold in each auction.
Alice and Bob Will Fight: The Problem of Electing a Committee in the Presence of Candidate Interdependence
Authors: Uckelman Joel
Published: February 2025

The problem of electing a committee which satisfies voters is one for which good solutions are scarce. Extending single-winner voting rules to the multi-winner case works well only when voters have no preferential dependencies among candidates for the committee. (Our motivating example is a voter who believes that Alice and Bob are the best candidates, but also that the worst possible committee is one with both Alice and Bob.) In order to tackle the interdependence problem, we propose a voting rule called the Goalbase Summation Rule (GSR), which uses goalbases (sets of weighted propositional formulas) as ballots. Using goalbases as ballots lets voters express complex preferences in a compact fashion, while the computational complexity of finding winning committees remains reasonable when the number of seats is fixed. Additionally, the GSR is able to simulate and extend many existing voting rules.
Analogical learning using dissimilarity between tree-structures
Authors: Ben Hassena Anouar  , Miclet Laurent
Published: February 2025

In Artificial Intelligence, analogy is used as a non exact reasoning technique to solve problems, for natural language processing, for learning classification rules, etc. This paper is interested in the analogical proportion, a simple form of the reasoning by analogy, and described its use in artificial learning of the syntactic tree (parsing) of a sentence.
Diagnosability Analysis of Discrete Event Systems with Autonomous Components
Authors: Ye Lina  , Dague Philippe
Published: February 2025

Diagnosability is the property of a given partially observable system model to always exhibit unambiguously a failure behavior from its only available observations in finite time after the fault occurrence, which is the basic question that underlies diagnosis taking into account its requirements at design stage. However, for the sake of simplicity, the previous works on diagnosability analysis of discrete event systems (DESs) have the same assumption that any observable event can be globally observed, which is at the price of privacy. In this paper, we first briefly describe cooperative diagnosis architecture for DESs with autonomous components, where any component can only observe its own observable events and thus keeps its internal structure private. And then a new definition of cooperative diagnosability is consequently proposed. At the same time, we present a formal framework for cooperative diagnosability checking, where global consistency of local diagnosability analysis can be achieved by analyzing communication compatibility between local twin plants without any synchronization. The formal algorithm with its discussion is provided as well.
Knowledge Compilation for Itemset Mining
Authors: Cambazard Hadrien  , Hadzic Tarik  , O'Sullivan Barry
Published: February 2025

We present a novel approach to itemset mining whereby the set of all itemsets are compiled into a compact form, closely related to binary decision diagrams. While there were previous attempts to utilize decision diagrams for storing the set of frequent itemsets this is the first approach that does not rely on backtrack search to generate such a set. Our empirical evaluation demonstrates that our approach is complementary to current approaches.
Classification of Dreams Using Machine Learning
Authors: Matwin Stan  , De Koninck Joseph  , Razavi Amir H.  , Amini Ray Reza
Published: February 2025

We describe a project undertaken by an interdisciplinary team of researchers in sleep and in and machine learning. The goal is sentiment extraction from a corpus containing short textual descriptions of dreams. Dreams are categorized in a four-level scale of affections. The approach is based on a novel representation, taking into account the leading themes of the dream and the sequential unfolding of associated affective feelings during the dream. The dream representation is based on three combined parts, two of which are automatically produced from the description of the dream. The first part consists of co-occurrence vectors, which — unlike the standard Bag-of-words model — capture non-local relationships between meanings of word in a corpus. The second part introduces the dynamic representation that captures the change in affections throughout the progress of the dream. The third part is the self-reported assessment of the dream by the dreamer according to eight given attributes. The three representations are subject to aggressive feature selection. Using an ensemble of classifiers and the combined 3-partite representation, we have achieved 64% accuracy, which is in the range of human experts' consensus in that domain.
Parallel TBox Classification in Description Logics – First Experimental Results
Authors: Aslani Mina  , Haarslev Volker
Published: February 2025

One of the most frequently used inference services of description logic reasoners classifies all named classes of OWL ontologies into a subsumption hierarchy. Due to emerging OWL ontologies from the web community consisting of up to hundreds of thousand of named classes and the increasing availability of multi-processor and multi- or many-core computers, we extend our work on parallel TBox classification and propose a new algorithm that is sound and complete and demonstrates in a first experimental evaluation a low overhead w.r.t. subsumption tests (less than 3%) if compared with sequential classification.
Cross-Domain Contextualization of Sentiment Lexicons
Authors: Gindl Stefan  , Weichselbraun Albert  , Scharl Arno
Published: February 2025

The simplicity of using Web 2.0 platforms and services has resulted in an abundance of user-generated content. A significant part of this content contains user opinions with clear economic relevance - customer and travel reviews, for example, or the articles of well-known and respected bloggers who influence purchase decisions. Analyzing and acting upon user-generated content is becoming imperative for marketers and social scientists who aim to gather feedback from very large user communities. Sentiment detection, as part of opinion mining, supports these efforts by identifying and aggregating polar opinions - i.e., positive or negative statements about facts. For achieving accurate results, sentiment detection requires a correct interpretation of language, which remains a challenging task due to the inherent ambiguities of human languages. Particular attention has to be directed to the context of opinionated terms when trying to resolve these ambiguities. Contextualized sentiment lexicons address this need by considering the sentiment term's context in their evaluation but are usually limited to one domain, as many contextualizations are not stable across domains. This paper introduces a method which identifies unstable contextualizations and refines the contextualized sentiment dictionaries accordingly, eliminating the need for specific training data for each individual domain. An extensive evaluation compares the accuracy of this approach with results obtained from domain-specific corpora.
A Decision-Theoretic Approach to Cooperative Control and Adjustable Autonomy
Authors: Mouaddib Abdel-Illah  , Zilberstein Shlomo  , Beynier Aurélie  , Jeanpierre Laurent
Published: February 2025

Cooperative control can help overcome the limitations of autonomous systems (AS) by introducing a supervision unit (SU) (human or another system) into the control loop and creating adjustable autonomy. We present a decision-theoretic approach to accomplish this using Mixed Markov Decision Processes (MI-MDPs). The solution is an optimal plan that tells the AS what actions to perform as well as when to request SU attention or transfer control to the SU. This provides a varying degree of autonomy, particularly suitable for robots exploring a domain with regions that are too complex or risky for autonomous operation, or intelligent vehicles operating in heavy traffic.
Recognition and Motion Primitives for Autonomous Clothes Unfolding of Humanoid Robot
Authors: Kobori Hiroko  , Kakiuchi Youhei  , Okada Kei  , Inaba Masayuki
Published: February 2025

In this paper, we propose a method for a humanoid robot to unfold clothes as a part of laundry sorting task. A clothes handling skill, which we define as a unit of robot motion, can be described as a combination of two elements: motion primitives and clothes basic information. To achieve robustness to colors and shapes of clothes, we propose clothes basic information that do not rely on color or shape of the target object. In this paper, we first propose actual motion primitives and clothes basic information for unfolding clothes, and then present experimental result obtained using a life-size humanoid robot.
Application of Two Different Temperature Monitoring Systems in Liquid Nitrogen Ground Freezing Construction
Authors: Hu Xiangdong  , Guo Wang  , Zhang Jun
Published: February 2025

On the background of liquid nitrogen freezing method applied in a shield tunnel recovering project, this paper introduces the system composition of the thermocouple temperature monitoring system and “1-wire bus” temperature monitoring system for liquid nitrogen freezing process. Based on temperature monitoring data, the advantages and disadvantages of the two monitoring systems are summarized in the cryogenic measurement scope of the systems, the accuracy of monitoring data, the resistance to interference of the system, etc. The most important advantage of thermocouple temperature monitoring system is the wide measurement range in low temperature of −200°C, whereas for the “1-wire bus” temperature monitoring system, the most important advantage is that the system is insensitive to external working conditions and environmental temperature.
Slope Angle Influence on the Seismic Wave Amplification Effect in a Double-sided Slope
Authors: Xiao Shiguo  , Song Zhijian  , Zhang Jianjing
Published: February 2025

Slope angle significantly influences the seismic dynamic amplification effect of slope body. This paper carried out elasto-plastic dynamic finite element analysis on a double-sided slope and studied the influence pattern of slope angles upon dynamic amplification effect of seismic wave. It was found that the maximum dynamic response of the slope top, including peak acceleration and amplification effect, increases with slope angle. In addition, the magnification ratios of the gentle slope side exceed those of the steep slope side under the slope top, especially at the bottom of the slope.
Parametric Study and Design Charts Based on Movement of Reinforced Earth Retaining Wall
Authors: Mowafy Y.M.  , El-Sakhawy N.R.  , El-Sakhawy R.R.  , El-Gaaly O.A.
Published: February 2025

The deformation resulting from wall movements is an important performance criterion for reinforced earth retaining walls. However, conventional wall design procedures are primarily stress–based and do not consider deformations explicitly. This may lead to imprecise hypothesis of the real forces in reinforcement, and conditions for soil shear failure. This paper represents numerical investigation on the compatibility behavior of reinforced earth during wall movement. The effect of reinforcement global stiffness, wall height, and soil internal angle of friction on the developed earth pressure coefficient and the maximum wall movement and the compatibility of these parameters are vital aspects in the investigation. The finite element program, ANSYS, was utilized for the analysis. The objective of this investigation is to activate parametric study in a scale adequate to get advanced design charts. The design charts were developed and their application was outlined.
The 3D Modeling and Visualization of Highway Slope Based on GIS and Its Application
Authors: Zhang Yonghui  , Chen Guoliang  , Sheng Qian  , Liu Xiuguo
Published: February 2025

Three dimensional (3D) model visualization of highway slope can provide geological model for geotechnical engineers intuitively and conveniently. The main difficulties of highway slope visualization are the modeling of slope surface and underground. For surface modeling, the existing methods have the disadvantage of long coding period, while, for underground modeling, the difficulty is lack of the detailed data of stratum and structural plane. In this paper, based on MapGIS-TDE platform, using the survey and design data of highway, the 3D geology modeling methods of slope surface, ground and underground are presented, the sub-model building methods of excavated slope, excavated road and unexcavated slope are also discussed. In addition, based on the 3D geology model, combined with the wireless communication technology of displacement and rainfall monitoring data, the information management system of highway slope has been developed for real-time remote monitoring and prewarning by using C++, which has the functions of real time receiving of monitoring data, data inquiring and drawing, slope stability calculation, real time prewarning, displacement forecasting and 3D visualization management. The system has been successfully applied in the landslide monitoring and prewarning in Changde-Jishou Highway and Loudi-Xinhua Highway in Hunan province.
Application of Data Mining Techniques to the Safety Evaluation of Slopes
Authors: Martins Francisco F.  , Miranda Tiago F.S.
Published: February 2025

In the present paper, Data Mining techniques has been applied to evaluate the stability of slopes. For this propose, the R (www.r-project.org) software was used together with a user defined application developed at the University of Minho called RMiner. The factor of safety (FS) and probability of failure (PF) were computed for 365 homogeneous slopes using the software SLOPE/W with varying geometric parameters (e.g. height, height of the water surface and slope angle) and geotechnical parameters (weight density, cohesion intercept and angle of shearing resistance). Heights between 10 m and 15 m and slope angles between 40° and 70° were considered. This data allowed building a database to be analyzed using the Data Mining techniques. In this process, several algorithms were used for the prediction of FS and PF, such as multiple regression, regression trees, artificial neural networks, support vector machines and k-nearest neighbours. To evaluate the performance of each technique REC curves (Regression Error Characteristic) and several error measures were used. This application allowed developing reliable models to predict important safety parameters for slopes without a classical limit equilibrium calculation carried out. They also allow performing quick parametric studies for the early stages of slope design. To predict FS, the support vector machines showed the best overall performance. In the case of PF, the artificial neural network proved to be more reliable to predict this parameter. By this study, it was also possible to conclude that cohesion intercept was the parameter with more influence on the assessed safety parameters.
Software Agents in Support of Human Argument Mapping
Authors: Buckingham Shum Simon  , Sierhuis Maarten  , Park Jack  , Brown Matthew
Published: February 2025

This paper reports progress in realizing human-agent argumentation, which we argue will be part of future Computer-Supported Collaborative Argumentation (CSCA) tools. With a particular interest in argument mapping, we present two investigations demonstrating how a particular agent-oriented language and architecture can augment CSCA: (i) the use of the IBIS formalism enabling Brahms agents to simulate argumentation, and (ii) the extension of the Compendium tool by integrating it with Brahms agents tasked with detecting related discourse elsewhere.
Security-Aware Service Composition for End Users of Small Enterprises
Authors: Khan Khaled  , Malluhi Qutaibah
Published: February 2025

This paper focuses on the service composition based on security properties of services from an end user perspective. End users are usually not expert in computer security, but expert users of computer software. They typically either own or work for small and medium enterprises (SMEs). The proposed framework attempts to demonstrate that end users of small enterprises can compose a service based application based on the security profiles of software services. The paper argues that the security concerns of various stakeholders of services should be specified differently. The paper envisions a framework with which end users could select services consistent with their preferred security features suitable for their businesses. With the same token, consumers of such applications can easily understand the security profile of services in order to make a B2B transaction. This will provide end users more power to force the service developer to offer better security-aware services. The main contribution of this paper is a framework on which further work could be initiated.
Language Resources and Technology for the Humanities in Latvia (2004–2010)
Authors: Skadiņa Inguna  , Auziņa Ilze  , Grūzītis Normunds  , Levāne-Petrova Kristīne  , Nešpore Gunta  , Skadiņš Raivis  , Vasiļjevs Andrejs
Published: February 2025

The last six years have been very important for research and development of language technologies in Latvia. Several large projects have been funded by the government of Latvia, important tools and resources have been created by the industry, and since 2006 Latvia has participated in the CLARIN initiative. Although there is still a gap in language resources and technology (LRT) for Latvian and the more widely used languages, the current LRT for Latvian can already serve as a basic research infrastructure for the Humanities. The paper presents an overview and the current status of LRT in Latvia. Special attention is paid to the CLARIN project and its role for the humanities in Latvia.
Digitization of Historical Texts at the National Library of Latvia
Authors: Zogla Arturs  , Skilters Jurgis
Published: February 2025

National Library of Latvia has just started a mass-digitization of books and periodicals. A total of about 3.5 million pages will be digitized, segmented, OCR-ed and made available on-line. The large scope of materials by language, format, orthography, logical structure and time of publishing causes many technical, syntactic and semantic problems that will need to be solved when creating a historical text portal.
Uncertainty in Spoken Dialogue Management
Authors: Jokinen Kristiina
Published: February 2025

This paper deals with hesitation and uncertainty in spoken dialogue management and discusses communicative signals that are used to express hesitation and uncertainty in conversational interactions. The study focuses especially on the relation between a particular type of gesturing, shoulder shrugging, and speech, and draws conclusions as to how the shoulder shrugging is interpreted by the participants. The analysis includes manual annotation and assumes that dialogues are cooperative activity that is constrained by social obligations and the participants' roles.
Mapping and Localization for Mobile Robots through Environment Appearance Update
Authors: Bacca Bladimir  , Salví Joaquím  , Cufí Xavier
Published: February 2025

The strength of appearance-based mapping models lies in their ability to represent the environment through high-level image features; and provide humanreadable information. However, developing localization and mapping methods with these models could be very challenging, especially if robots must deal with long-term mapping, localization, navigation, occlusions, and dynamic environments. This paper proposes an appearance-based mapping and localization method based on the human memory model, which is used to build a Feature Stability Histogram (FSH) at each node in the robot topological map, these FSH register local feature stability over time through a voting scheme, and most stable features are considered for mapping and Bayesian localization. Experimental results are presented using omnidirectional images acquired through long-term acquisition considering: illumination changes (day time and seasons), occlusions, random removal of features, and perceptual aliasing. This method is able to adapt the internal node's representation through time to achieve global and local robot localization.
Learning Force-Based Robot Skills from Haptic Demonstration
Authors: Rozo Leonel  , Jiménez Pablo  , Torras Carme
Published: February 2025

Locally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstration. Input streams other than visual information, as used in most applications up to date, reveal themselves as quite useful in trajectory learning experiments where visual sources are not available. For the first time, force/torque feedback through a haptic device has been used for teaching a teleoperated robot to empty a rigid container. The memory-based LWPLS and the non-memory-based LWPR algorithms [1,2,3], as well as both the batch and the incremental versions of GMM/GMR [4,5] were implemented, their comparison leading to very similar results, with the same pattern as regards to both the involved robot joints and the different initial experimental conditions. Tests where the teacher was instructed to follow a strategy compared to others where he was not lead to useful conclusions that permit devising the new research stages, where the taught motion will be refined by autonomous robot rehearsal through reinforcement learning.
A much better polynomial time approximation of consistency in the LR calculus
Authors: Lücke Dominik  , Mossakowski Till
Published: February 2025

In the area of qualitative spatial reasoning, the LR calculus (a refinement of Ligozat's flip-flop calculus) is a quite simple constraint calculus that forms the core of several orientation calculi like the Dipole calculi and the OPRA1calculus by introducing the left-right-dichotomy.
An Approach for Enacting Software Development Process: SPEM4MDA
Authors: Nikulsins Vladimirs  , Nikiforova Oksana  , Kornijenko Jurijs
Published: February 2025

A promising approach, Object Management Group's (OMG) Model Driven Architecture (MDA), shifts the focus of software development from writing code to building models. It gives no guidelines on software implementation in terms of activities, phases, roles and responsibilities. Authors of this paper are offering an approach for enacting software development process with the help of process models. They are formalized with the help of Software Process Engineering Metamodel (SPEM), therefore the approach is called SPEM4MDA. The essence of approach is to use existing non-MDA process model formalized in SPEM notation, and with a help of another OMG initiative – Query/View/Transformation (QVT) – transforming it to MDA compliant process model.
Future Directions of Knowledge Systems Environments for Web 3.0
Authors: Zettsu Koji  , Thalheim Bernhard  , Kidawara Yutaka  , Karttunen Elina  , Jaakkola Hannu
Published: February 2025

The internet and web applications have changed business and human life. Nowadays everybody is used to obtain data through the internet. Most applications are still Web 1.0 applications. Web 2.0 community collaboration and annotated data on the basis of Web 3.0 technologies supports new businesses and applications. The quality dimension of the web is however one of the main challenges. Knowledge systems target at high-quality data on safe grounds, with a good reference to established science and technology and with data adaptation to user's needs and demands. Knowledge system can be build based on existing and novel technologies. This paper discusses the challenges, two solutions and the fundamentals of knowledge system environments.