bluuebunny/crossref_metadata_2025 huggingface dataset:
Human-artificial-intelligence hybrid learning systems
Authors: Herd Seth  , Urland Geoffrey  , Mingus Brian  , O'Reilly Randall
Published: February 2025

The only known path to general intelligence is that taken by humans. Adapting elements of this path to achieving artificial general intelligence (AGI) has become a common area of interest. We address the role of human teachers in this process, using the concept of the zone of proximal development (ZPD). We explore the range of possible human-teacher interactions, including those modeled closely on humans, those involving accessing and changing the AGI learners internal representations, and tighter integrations amounting to human-AI hybrid learning system (HAIHLS). In such a system, a human teacher scaffolds an untrained subsystem by producing the outputs desired from a fully trained version. Those outputs both train that subsystem and provide more useful information to the remainder of the cognitive system. This aid enables all subsystems to learn within the context of the richer behavior and cognition possible with the aid of the human subsystem.
Modeling Human Behaviour in Emergency: A Research Agenda for the Creation of a Rescue Robot
Authors: Rossini Nicla  , Esposito Anna
Published: February 2025

The development of an artificial agent-driven rescue robot capable of interacting naturally with humans under urban emergency conditions brings out a number of issues that need to be addressed: among these are (i) providing a full description and understanding of the user's perspective, and thus creating a reliable and functional user model, (ii) addressing the question of appearance, including the interface to be implemented, and (iii) evaluating the reliability and credibility of such a robot under, both group and individual panic reactions to stressful, extreme conditions. This article addresses these topics with a set of suggestions for future research in the field. In particular, we propose a research agenda focused on the appearance of a rescue agent, and its trustworthiness under extreme circumstances, together with suggestions for a set of experiments aimed at enlighten a user model of crowd and individual behaviour in emergency situations.
The Art of Conceptual Modelling
Authors: Thalheim Bernhard
Published: February 2025

Conceptual modelling is one of the central activities in Computer Science. Conceptual models are mainly used as intermediate artifact for system construction. They are schematic descriptions of a system, a theory, or a phenomenon of an origin thus forming a model. A conceptual model is a model enhanced by concepts. The process of conceptual modelling is ruled by the purpose of modelling and the models. It is based on a number of modelling acts, on a number of correctness conditions, on modelling principles and postulates, and on paradigms of the background or substance theories. Purposes determine the (surplus) value of a model. Conceptual modelling is performed by a modeller that directs the process based on his/her experience, education, understanding, intention and attitude.
Stromal-epithelial interactions in early neoplasia
Authors: Liu Alvin Y.  , Pascal Laura E.  , Vêncio Ricardo Z.  , Vêncio Eneida F.
Published: February 2025

In prostate tumors, both the epithelial and stromal mesenchyme compartments show gene expression changes from their respective normal counterpart. In fact, there are more such changes in the stroma than the epithelium. These include down-regulated expression of genes involved in smooth muscle cell differentiation and those differentially expressed between prostate and bladder, i.e., organ-restricted. In development, the stromal cell type mediates tissue formation from differentiation of stem or progenitor cells. Diseases like cancer may arise as a result of defective stromal signaling. Stromal signaling can be demonstrated by co-culture of stromal cells and embryonal carcinoma NCCIT cells used as a stem cell substitute. In co-culture, stromal cells induce NCCIT cells through diffusible molecules to lose stem cell gene expression, gain expression of prostate genes, alter cytomorphology, and lower proliferation. This NCCIT response is varied as co-cultured bladder stromal cells induce a different gene expression. At the same time, NCCIT factors also affect gene expression of co-cultured stromal cells. NCCIT induces normal prostate tissue (NP) stromal cells to become more like cancer-associated (CP) stromal cells in both mRNA and microRNA expression. In contrast, NCCIT shows minimal effect on CP stromal cells. CP stromal cells may represent a less differentiated state in the prostate stromal cell lineage.
Cancer stem cells and markers: New model of tumorigenesis with therapeutic implications
Authors: Natarajan Thanemozhi G.  , Ganesan Natarajan  , FitzGerald Kevin T.
Published: February 2025

In an effort to improve our understanding and treatment of cancer, a new model of tumorigenesis is being developed – the cancer stem cell model. Building upon traditional concepts of cancer and stem cells, this model is intended to shed new light on the continuing struggle with treatment challenges such as tumor drug-resistance and recurrence. This review describes the cancer stem cell model with an emphasis on delineating markers that represent a “stemness” phenotype within certain tumor cells. The objective of this delineation is to develop targeted therapies for the selective elimination of cancer stem cells with minimal toxicity to normal stem cells and tissues. However, this specific targeting of cancer stem cells has proved to be a significant challenge due to the similarity of markers expressed by both normal and cancer stem cells. Still, research in the area of cancer biomarkers is steadily progressing.
Rice Price Formation in the Short Run and the Long Run: The Role of Market Structure in Explaining Volatility
Authors: Timmer C. Peter
Published: February 2025

This paper analyzes price formation on the world's rice market using simple supply and demand models as a start, but moving to “supply of storage” models—a staple of commodity-market analysis for more than half a century—to explain hoarding behavior and its subsequent impact on prices. The supply of storage model, however, does not account adequately for the influence that “outside” speculators have on prices. This paper quantifies the impact of financial factors and actors on commodity-price formation using very short-run prices and Granger causality analysis for a wide range of financial and commodity markets, including rice. The results are highly preliminary but are also very provocative. Speculative money seems to surge in and out of commodity markets, strongly linking financial variables with commodity prices during some time periods, but these periods are often short and the relationships disappear for long periods of time. Finally, the paper addresses the long-run (since 1900) relationships among the prices of the three basic cereal staples, rice, wheat and corn (maize), which have declined more than 1 percent per year over the past century. The decline accelerated after the mid-1980s; only the recent run-up in cereal prices in 2007–08 returned them to the long-run downward trend. Despite these common features and important cross-commodity linkages, however, price formation for rice has several unique dimensions worthy of further study.
Talkin' about a revolution
Authors: in 't Veld Sophie
Published: February 2025

The paper gives a picture of the Information and Communication revolution that takes place globally. It describes the effects of the massive data collection and processing on the social and economic reality and the inter-relation between governments, private companies and citizens. It is concluded that very strong protections are needed for privacy and personal data, including severe sanctions and data protection authorities with strong enforcement powers. But that this is not enough. Effective protection and empowerment of people will need to include rules on transparency and accountability of data processing, and revisiting of consumer protection and competition policies.
Determination of Adhesives Properties for Non-linear Numerical Simulation of Structural Steel-Glass Connections
Authors: Dias Vincent  , Hechler Oliver  , Odenbreit Christoph
Published: February 2025

In the construction of façades, connections between glass and glass as well as other materials with varying properties, e.g. metals, are currently designed with, inter alia, the application of adhesives. The related analytical evaluation of the load bearing characteristics of these kinds of assemblies requires the correct determination of the adhesives' properties; knowledge in this field is still incomplete. Therefore an extensive test campaign on the load bearing and displacement behaviour of common structural silicone and UV-acrylic was carried out with the aim, to identify appropriate models to describe their properties under quasi-static loading and for their implementation in numerical analyses. The test program, comparisons between the different adhesive materials and a summarised outcome will be presented in this paper.
Tensile Loading of Silicone Point Supports – Revisited
Authors: Hagl Anneliese  , Dieterich Oliver  , Wolf Andreas  , Sitte Sigurd
Published: February 2025

An advanced high performance silicone film adhesive is ready to be exploited for challenging glazing applications. This silicone adhesive differs in many aspects from conventional silicones as it provides transparency and superior mechanical characteristics. Furthermore, the transparent silicone material shows the tendency of loosing transparency in highly loaded operating conditions (“stress whitening”). Due to these specific characteristics, comparisons of the mechanical performance of the film adhesive with commercially available structural sealants for glass façades are of major interest. The paper compares the performance of conventional, gun-grade silicone sealants with that of the novel silicone film adhesive for bonding point supports on glass by evaluating various load schemes and bond thicknesses.
Seismic Behaviour of Point Supported Glass Panels
Authors: Martins Luís  , Delgado Raimundo  , Camposinhos Rui  , Silva Tiago
Published: February 2025

Due to its transparency today's architectures often rely on glazed façade solutions to execute the building envelope. During a seismic event, glass breakage and fall out can occur and threaten occupants and passers. So in earthquake prone regions this must be accounted in the design project; however, there is little research on the behaviour of glazed façades under seismic loads. This papers focus on the results of a project under development to ascertain right well dimensioned and adequate solutions to glass facades using point fixing systems under seismic or wind actions. Numerical analyses were performed, using finite element commercial software, the results are compared with simplified methods and conclusion are drawn.
The Mechanical Performance of Adhesives for a Steel-Glass Composite Façade System
Authors: Nhamoinesu Shelton  , Overend Mauro
Published: February 2025

High strength adhesives provide potentially efficient load-bearing steel-glass linear connections by enabling composite action. However, there is a lack of reliable models that can accurately predict their mechanical behavior. This paper describes experimental investigations undertaken to select suitable adhesives from short-listed epoxies and acrylates. The selection was based on mechanical performance of adhesive single-lap shear joints subjected to short-duration loads. The paper also assesses the validity of an analytical and a viscoelastic-plastic numerical model used for predicting the stress-state in adhesive joints. The investigation shows that three of the tested adhesives may be suitable for use in a steel-glass composite façade system. The analytical model provides good predictions at low strains but the accuracy decreases with increasing adhesive strains. The non-linear numerical model provides reasonable predictions but is sensitive to adhesive shear modulus history.
Towards a European Structural Glass network: COST Action TU0905
Authors: Belis Jan  , Neugebauer Jürgen  , Schneider Jens  , Overend Mauro  , Mocibob Danijel
Published: February 2025

COST Action TU0905 “Structural Glass: novel design methods and next generation products” provides a platform for European scientists to cooperate and exchange expertise in the research area of Structural Glass. The main objective of this Action is to provide a strong contribution to the ongoing development of innovative high performance structural glass products mainly in architectural and solar applications, and to European standards and education in this field. This contribution intends to give an overview of the context, organization, objectives and activities of this successful network, which currently is about mid-term.
The Applicability Evaluation of Hybrid Glass Structure Using Pre-stressing as Structural Member
Authors: Miyasato Naoya  , Okada Akira  , Saitoh Masao  , Nomoto Keisuke
Published: February 2025

Glass has high compression strength but low tensile strength. In this paper the authors proposed Hybrid Glass Beam (HGB “model-a, b, c and d”) that can control the stress of glass member to pre-stress into the tension member. The derivation and characteristics of each model are shown through the results of experiments and numerical analysis of the proposed models.
Glassolutions LED-in-Glass Outdoor at Oskomera Group HQ
Authors: Demarteau Rens  , Hebly Esther  , Roman Paul  , Messere Rino
Published: February 2025

The Oskomera Group moved into her new headquarters around Christmas last year. One of the distinguishing features of this new building is the LED-in-Glass Outdoor (LIGO) glazing supplied by Glassolutions. This special glazing is a part of the ‘glass box’ inserted into the mass of the main building. It shows the corporate logo, very clearly at night, subtly by day.
European Aviation Noise Research Network (X-NOISE)
Authors: Collin Dominique
Published: February 2025

Over the last ten years, ambitious, national and regional research programmes have been initiated to support technology breakthroughs aimed at further noise reduction. Such initiatives have been established in the European Union, the United States, Japan, Canada, Brazil and the Russian Federation. The emergence of dedicated network structures has played a significant role in the elaboration and successful implementation of these various initiatives. In Europe in particular, important works are being conducted within the context of the Framework Programmes. This paper summarises the achievements of the research effort dedicated to the reduction of aviation noise as coordinated by the X-Noise network through the Coordination Actions X3-Noise (2006–2010) and X-Noise EV (2010–2014).
Towards Flutter-Free Turbomachinery Blades
Authors: Vogt Damian M.  , Fransson Torsten H.
Published: February 2025

The Royal Institute of Technology, Sweden, is leading an EU FP7 project called “FUTURE” involving a consortium of 25 partners from industry, research institutes and academia. Flutter is and remains one of the key limiting phenomena when designing next generation of green aircraft and engines. Precisely, the main objective of the FUTURE research programme is to ensure that the phenomenona of flutter is not harming the mechanical integrity of tomorrow's aircraft engines. By advancing the state-of-the-art in flutter prediction capabilities and design rules, FUTURE will lead to benefits in terms of decreased development costs, reduced weight and fuel consumption, as well as increased ability to efficiently manage flutter problems on engines at service. The focus of FUTURE is put on two primary areas of turbo-machines, in which flutter is observed: low-pressure compressors and low-pressure turbines.
Keynote Address by Cristina Garmendia Mendizábal
Authors: Garmendia Mendizábal Cristina
Published: February 2025

Strong Spain's commitment to the Aeronautics sector: financial resources for innovation, public procurement, internationalisation of innovative activities, cooperation among public administrations, incorporation of innovative talent into national aeronautics companies.
Structural Health Monitoring Systems in Airbus Military
Authors: Gómez-Escalonilla Javier  , Cabrejas Jorge  , Armijo Jose I.
Published: February 2025

Systematic monitoring of the health and the usage of the airframe is considered essential for continued airworthiness in most military regulations [1–3]. Although initially applied to fighters, it is now common practice for most Air Forces to require a structural monitoring program to be in place by the time every newly acquired military aircraft enters operational service, in order to increase operational availability, and to reduce costs of ownership.
Airports – Suitable and Sustainable Gateways to the Globalized World
Authors: Kerkloh Michael
Published: February 2025

The paper “Airports – suitable and sustainable gateways to the globalised world” concentrates on several different strategies, based upon Munich airport experience, to meet the different future challenges for the airport industry: interconnected multimodal transport system, expansion of infrastructure, sustainable measures that will ensure that growth is largely achieved on a carbon-neutral basis, strategic system partnerships, support from the airport region.
CREATE – A European Initiative for Stimulating Ideas and Incubating Upstream Research Projects in Air Transport
Authors: Müller Romain  , Pelfrène Patricia  , de Graaff Adriaan  , Schmitt Dieter  , Stenz Gernot  , Gadiot Guy  , Klein Lebbink Gerben  , Burton Chris  , Kooner Surinder  , Kimber John  , Truman Trevor  , Phleps Peter
Published: February 2025

The CREATE project was initiated following an earlier path-finding project called “Out of the Box” [2]. The rationale for Out of the Box was that the generation of ideas for radically changed concepts and technologies for the future Air Transport system needs to be stimulated and ideas need to be collected on a European scale. The CREATE project studied and tested a process that includes all the steps necessary to bring these ideas for radical changes in air transport into actual research.
Opening the Airspace for UAVs – ASTRAEA Progress Report
Authors: Mills Nigel
Published: February 2025

The ASTRAEA – Autonomous Systems Technology Related Airborne Evaluation and Assessment – Programme is a collaborative UK initiative drawing on the expertise of some of the world's aerospace companies to establish the necessary technology, procedures and regulations to enable the routine operation of unmanned air systems (UAS) in all classes of airspace. This presentation describes the systems approach and virtual certification process being adopted, the progress that has been achieved to date and sets out some key milestones in the future programme.
Preparing the Future of Aviation – Three Thoughts
Authors: Herteman Jean-Paul
Published: February 2025

Three thoughts. First: 2050 is far but we need a vision for this horizon. Second: Europe will not reach its public policy goals – prosperity, environment, safety, job, etc. – without a strong European aviation industry to deliver the means. Third: the rise of the aeronautics related RTD at the European level must be sustained in the coming years and even be increased. It is more than important to continue the RTD effort in the FP8 dedicated to Aeronautics and Air Transport. Public and private funding should be blended within the Framework Programme.
EASN – The European Academia Association
Authors: Pantelakis Spiros
Published: February 2025

The European Aeronautics Science Network – EASN – is the association of European academics active in aeronautics related research. Its primary aims are to promote, encourage, coordinate and focus joint efforts between Universities, Research Organisations, Industry and SMEs which are active in the field of aeronautics and aerospace.
Clean Sky: Bringing Sustainable Air Transport Closer
Authors: Dautriat Eric
Published: February 2025

Funded equally by the European Commission and Europe's aeronautical industry, Clean Sky is a Joint Technology Initiative designed to speed up the technology breakthroughs needed to achieve ACARE's environmental goals. As a public-private partnership, it aims to develop, mature and validate key “clean technologies” for aviation in order to shorten the time to market for new solutions tested on Full Scale Demonstrators. With a budget estimated at EUR 1.6 billion over 7 years, Clean Sky is expected to lead the earlier introduction of new, radically greener Air Transport products.
Knowledge Network of Scientific Claims Derived from a Semantic Publication System
Authors: Marcondes Carlos Henrique
Published: February 2025

Currently, the conventional communication channel for reporting scientific results is Web electronic publishing of scientific articles in paper print formats, such as PDFs. The emergence of the Semantic Web and Linked Data environment provides new opportunities for communicating, sharing, and integrating scientific knowledge in digital formats that could overcome the limitations of the current print format, which is only suitable for reading by people. The results of scientific research can be published electronically and shared in structured, interlinked formats. This integrated knowledge network could be crawled by software agents, thereby facilitating semantic retrieval, knowledge reuse, validation of scientific results, identification of traces of scientific discoveries, new scientific insights, and identification of knowledge contradictions or inconsistencies. This paper explores the possibilities of this new environment for scientific publishing and reports the implementation of a prototype semantic publishing system, which publishes scientific articles in a paper print format and publishes the claims made in the conclusions of each article as structured triples using the Resource Description Framework format.
Toward Dynamic Assurance Cases
Authors: Matsuno Yutaka  , Yamamoto Shuichiro
Published: February 2025

System assurance has become a great importance in many industrial sectors. Recently, assurance cases have been widely used for system assurance. Assurance cases are structured documents for arguing dependability/safety/etc. of systems. However, it is sometimes difficult to keep track of the description of assurance cases in accordance with system's actual behavior, particularly for failure mitigating actions. In this paper, we introduce a prototype mechanism for the problem. A preliminary result shows that the mechanism only consumes relatively small amount of resources of the target system.
A review method based on a matrix interpretation of GSN
Authors: Yamamoto Shuichiro  , Matsuno Yutaka
Published: February 2025

Goal Structuring Notation (GSN) is used to describe assurance and safety cases for critical software intensive systems. Although it provides simple graphical notations, it is not clear how to describe and validate GSN graphs. In this paper, a review method for GSN is proposed based on a matrix relationship of GSN graph. The proposed method is also exemplified to reduce ambiguity of GSN.
Trust-based Solution for Robust Self-configuration of Distributed Intrusion Detection Systems
Authors: Bartos Karel  , Rehak Martin
Published: February 2025

Protection of network infrastructures against highly sophisticated network attacks requires an intelligent, robust, and adaptive detection system. We present a distributed model for collaboration of multiple heterogeneous intrusion detection sensors. The proposed model assumes that each network can be monitored with multiple detection sensors deployed in various locations. The model optimizes behavior of each sensor with respect to other sensors in highly dynamic network environments by using a game-theoretical approach. We propose a general formalization of the problem of distributed collaboration as a game between defenders and attackers and introduce a trust-based solution concept ϵ-FIRE that is suitable for solving this game in highly dynamic environments, preventing any poisoning or manipulation of the cooperative system by intelligent attackers.
A Reinforcement-Learning Algorithm for Sampling Design in Markov Random Fields
Authors: Bonneau Mathieu  , Peyrard Nathalie  , Sabbadin Régis
Published: February 2025

Optimal sampling in spatial random fields is a complex problem, which mobilizes several research fields in spatial statistics and artificial intelligence. In this paper we consider the case where observations are discrete-valued and modelled by a Markov Random Field. Then we encode the sampling problem into the Markov Decision Process (MDP) framework. After exploring existing heuristic solutions as well as classical algorithms from the field of Reinforcement Learning (RL), we design an original algorithm, LSDP (Least Square Dynamic Programming), which uses simulated trajectories to solve approximately any finite-horizon MDP problem. Based on an empirical study of the behaviour of these different approaches on binary models, we derive the following conclusions: i) a naïve heuristic, consisting in sampling sites where marginals are the most uncertain, is already an efficient sampling approach; ii) LSDP outperforms all the classical RL approaches we have tested; iii) LSDP outperforms the heuristic in cases when reconstruction errors have a high cost, or sampling actions are constrained. In addition, LSDP readily handles action costs in the optimisation problem, as well as cases when some sites of the MRF can not be observed.
Opportunistic Branched Plans to Maximise Utility in the Presence of Resource Uncertainty
Authors: Coles Amanda
Published: February 2025

In many applications, especially autonomous exploration, there is a trade-off between operational safety, forcing conservatism about resource usage; and maximising utility, requiring high resource utilisation. In this paper we consider a method of generating plans that maintain this conservatism whilst allowing exploitation of situations where resource usage is better than pessimistically estimated. We consider planning problems with soft goals, each with a violation cost. The challenge is to maximise utility (minimise the violation cost paid) whilst maintaining confidence that the plan will execute within the specified limits. We first show how forward search planning can be extended to generate such plans. Then we extend this to build branched plans: tree structures labelled with conditions on executing branches. Lower cost branches can be followed if their conditions are met. We demonstrate that the use of such plans can dramatically increase utility whilst still obeying strict safety constraints.
Spectrum Enhanced Dynamic Slicing for better Fault Localization
Authors: Hofer Birgit  , Wotawa Franz
Published: February 2025

Debugging consumes a considerable amount of time in software engineering, but it is rarely automated. In this paper, we focus on improving existing fault localization techniques. Spectrum-based fault localization (SFL) and slicing-hitting-set-computation (SHSC) are two techniques based on program execution traces. Both techniques come with small computational overhead and aid programmers to faster identify possible locations of faults. However, they have disadvantages: SHSC results in an undesirable high ranking of statements which are executed in many test cases, such as constructors. SFL operates on block level. Therefore, it cannot provide fine-grained results. We combine SHSC with SFL in order to eliminate these disadvantages. Our objective is to improve the ranking of faulty statements so that they allow for better fault localization than when using the previously mentioned methods separately. We show empirically that the resulting approach reduces the number of statements a programmer needs to check manually. In particular, we gain improvements of about 50 % percent for SHSC and 25 % for SFL.
Justifying Dominating Options when Preferential Information is Incomplete
Authors: Labreuche Christophe  , Maudet Nicolas  , Ouerdane Wassila
Published: February 2025

Providing convincing explanations to accompany recommendations is a key issue in decision-aiding. In the context of decisions involving multiple criteria, the problem is made very difficult because the decision model itself may involve a complex process. In this paper, we investigate the following issue: when the preferential information provided by the user is incomplete, is there a principled way to define what is a “simple” explanation for a recommended choice? We argue first that explanations may necessitate different levels of detail. Next, we show that even when a detailed explanation is necessary, it is possible to distinguish explanations of different levels of complexity. Our results rely on an original connection we establish between the “mechanics” required to compute supporting coalitions of criteria and the simplicity of the explanation.
Almost-truthful Mechanisms for Fair Social Choice Functions
Authors: Lesca Julien  , Perny Patrice
Published: February 2025

This paper deals with the implementation of Social Choice Functions in fair multiagent decision problems. In such problems the determination of the best alternatives often relies on the maximization of a non-utilitarian Social Welfare Function so as to account for equity. However, in such decision processes, agents may have incentive to misreport their preferences to obtain more favorable choices. It is well known that, for Social Choice Functions based on the maximization of an affine aggregator of individual utilities, we can preclude any manipulation by introducing payments (VCG mechanisms). Unfortunately such truthful mechanisms do not exist for non-affine maximizers (Roberts' Theorem). For this reason, we introduce here a notion of “almost-truthfulness” and investigate the existence of payments enabling the elaboration of almost-truthful mechanisms for non-additive Social Welfare Functions such as Social Gini Evaluation Functions used in fair optimization.
Maxi-Consistent Operators in Argumentation
Authors: Vesic Srdjan
Published: February 2025

This paper studies an instantiation of Dung-style argumentation system with classical propositional logic. Our goal is to explore the link between the result obtained by using argumentation to deal with an inconsistent knowledge base and the result obtained by using maximal consistent subsets of the same knowledge base. Namely, for a given attack relation and semantics, we study the question: does every extension of the argumentation system correspond to exactly one maximal consistent subset of the knowledge base? We study the class of attack relations which satisfy that condition. We show that such a relation must be conflict-dependent, must not be valid, must not be conflict-complete, must not be symmetric etc. Then, we show that some attack relations serve as lower or upper bounds with respect to the condition we study (e.g. we show that if an attack relation contains “canonical undercut” then it does not satisfy this condition). By using our results, we show for each attack relation and each semantics whether or not they satisfy the condition. Finally, we interpret our results and discuss more general questions, like does (and when) this link is a desirable property. This work will help us obtain our long-term goal, which is to better understand the role of argumentation and, more particularly, the expressivity of logic-based instantiations of Dung-style argumentation frameworks.
Probabilistic Path-Disruption Games
Authors: Rey Anja  , Rothe Jörg
Published: February 2025

Path-disruption games, recently introduced by Bachrach and Porat [1], are coalitional games played on graphs where one or multiple adversaries each seek to reach a given target vertex from a given source vertex and a coalition of agents seeks to prevent that from happening by blocking every path from the source to the target, for each adversary. We expand their model by allowing uncertainty about the targets. In probabilistic path-disruption games, we assign to each vertex the probability that an adversary wants to reach it. We study the complexity of various problems related to such games.
Multirelational Consensus Clustering with Nonnegative Decompositions
Authors: Badea Liviu
Published: February 2025

Unsupervised multirelational learning (clustering) in non-sparse domains such as molecular biology is especially difficult as most clustering algorithms tend to produce distinct clusters in slightly different runs (either with different initializations or with slightly different training data).
WeMiT: Web-Mining for Translation
Authors: Roche Mathieu  , Garbasevschi Oana Mihaela
Published: February 2025

The quality of machine translation is often dependent on the quality of lexical transfer from a source language to a target language. In this work we present an automatic method to translate specialized terms. The proposed approach is based on two steps: (1) extraction of candidates for translation into web pages, (2) identification of the most relevant candidates by using web-mining techniques.
Design and implementation of a topic providing system with inference of daily life behavior
Authors: Suzuki Seiji  , Tanaka Go  , Ohta Ken  , Inamura Hiroshi  , Mizuno Tadanori  , Mineno Hiroshi
Published: February 2025

Many people in the modern world feel that they are poor at face-to-face communication.We have developed a topic-providing system that can infer daily life behavior and provides users with their conversation partner’s information, including hometown, hobbies and life log at the advent of face-to-face communication. The life logs are details about a user’s life, and are generated using Bayesian network on the basis of sensor values by our system. This system enables users to access other users’ behavior from the accumulated life logs and utilize this information to generate a topic for conversation.
Guaranteeing the quality of service in cluster-based Web systems
Authors: Zatwarnicki Krzysztof  , Borzemski Leszek
Published: February 2025

The paper presents a new method for scheduling and distribution HTTP requests in the cluster-based Web service. Its application enables guaranteeing the quality of the Web service on the required level, opposed to other Web services offering unpredictable and unreliable services of best-effort type. The proposed MLF (Mostly Loaded First) method helps to keep the page response time within established boundaries, in this way that at a heavy workload, page response time both for small and complex pages, would not exceed the imposed time limit. The proposed method applies adaptive algorithms and neuro-fuzzy models which enable the estimation of page response time. In the paper, both the method and the testbed are described together with the results obtained in the simulation experiment.
Effective Detection of XML Outliers
Authors: Cuzzocrea Alfredo  , Manco Giuseppe  , Masciari Elio
Published: February 2025

XML (eXtensible Markup Language) became in recent years the new standard for data representation and exchange on the WWW. This has resulted in a great need for data cleaning techniques in order to identify outlying data. In this paper, we present a technique for outlier detection that singles out anomalies with respect to a relevant group of objects. We exploit a suitable encoding of XML documents that are encoded as signals of fixed frequency that can be transformed using Fourier Transforms. Outliers are identified by simply looking at the signal spectra. The results show the effectiveness of our approach.
Advanced polymeric film production data analysis and process optimization by clustering and classification methods
Authors: Kohlert Michael  , König Andreas
Published: February 2025

Predictions on product quality are essential for yield optimization, and cost effective manufacturing. Thus, intelligent sensory systems are applied for process monitoring, and control in numerous industries, e.g., paper-, steel-, or microelectronic industries. A plethora of effective methods, and techniques for the underlying large, and high dimensional problems have been developed, and applied. The goal of this work is to adapt, and to advance the existing wealth of experience to the so far scarcely covered field of polymer production. For this aim, an approach to a new system for rapid and reliable process analysis based on state of the art methods has been developed in this work and statistically meaningful sample sets have been extracted from different process levels. A clustering, classification approach was used on data sets of different batches. In a stepwise reduction of the sensory data selection from the complete 220 to 11 selected process sensory measurement points a predictive model was constructed which meets the industrial specifications of forecasting batch quality for minimizing defective goods by 5%, and raising the yield.
Ontology Based Patterns for Software Security Engineering
Authors: Moradian Esmiralda  , Håkansson Anne  , Andersson Jan-Olof
Published: February 2025

Software security engineering requires an understanding of the security issues and knowledge about how to solve these issues. Unfortunately, the engineers often lack knowledge in security field, which induces security risks in software systems. To minimize the risks and support engineers during system development, structured and reusable information in security area is required. To this objective, security process and security patterns for software development are proposed. Moreover, the design of the security patterns is based on ontology techniques, which can provide structured information that can be reused and combined. For searching and mapping of patterns, we use agents in multi-agent system. The presented approach can enhance understanding of security issues and support implementation of security in software engineering process.
A model predictive control approach for the Pantograph-Catenary positioning system
Authors: Chiriac Andrei Ioan  , Olaru Sorin  , Rodriguez-Ayerbe Pedro
Published: February 2025

The paper deals with the predictive control synthesis for a Pantograph-Catenary (PAC) system. The main difficulty of the control design resides in the time-varying characteristics of the dynamics modeled by a chain of spring-mass elements.
Pros and Cons of Horizontal Axis Wind Turbines Linear Identification
Authors: Stefanoiu Dan  , Tudor Florin Sebastian
Published: February 2025

This article outlines some of the advantages and disadvantages of wind turbines linear identification, in case of minimal number of measuring channels. The identified turbine has horizontal axis and belongs to middle size class. Multi-variable models of linear type (Box-Jenkins (BJ) / ARMAX, state space representation) are estimated and compared in terms of fitness in time, as well as in frequency. All models are validated by data acquired from a running turbine, in conditions of variable but rather weak wind activity. Linear models do not match very well HAWTs, though some BJ models are behaving fairly.
Dialogues on the Argument Web: Mixed Initiative Argumentation with Arvina
Authors: Lawrence John  , Bex Floris  , Reed Chris
Published: February 2025

In this paper, we present Arvina, an online discussion tool supporting mixed initiative argumentation. Arvina allows stored arguments in the Argument Web to be introduced by software agents which human participants can then interact with.
Coupling of ATM Planning Systems with Different Time Horizons
Authors: Schaper Meilin  , Temme Marco  , Gluchshenko Olga  , Christoffels Lothar  , Pick Andreas
Published: February 2025

Within Total Airport Management a pre-tactical planning for the next 24h is performed, to enable a pro-active and common decision making for the stakeholders. Especially the air traffic flow and pre-tactical decisions influence later on the tactical phase, supported by controller assistance tools like Arrival and Departure Manager with a planning horizon of about 90min. This paper gives an overview of the participating components, describes the information flows and suggests coordination profiles for coupling those ATM Planning Systems with different time horizons.
Flyover noise synthesis for the Virtual Community Noise Simulator
Authors: Arntzen M.
Published: February 2025

Local effects of noise mitigation measures would best be researched with high-fidelity tools. It may be preferred to actually listen to the audible results from such a tool, which is possible by applying noise synthesis. Noise synthesis, based on separate modeling of airframe and engine noise components, is described for a virtual community noise simulator. The merits of individual atmospheric propagation models are qualified. The propagation results on synthesized aircraft noise, following the implementation of two different models, are presented to qualify the importance of atmospheric propagation modeling. The effects on common flyover noise metrics for single events are minimal for this particular flyover case. This is due to the fact that at a short distance, which defines the level of the noise metric, the atmospheric propagation is well modeled by traditional straight paths.
Digital TV as Monitoring System for Elderly People Health Care
Authors: Revetria Roberto  , Catania Alessandro  , Catania Barbara  , Mazzarello Bruno Filippo
Published: February 2025

The aim of the paper is to describe a project concerned with the development of a daily monitoring system for elderly people living alone. The system relies on a new non invasive type of communication based on devices commonly owned by elderly people, to reduce initial cost of deployment. All collected data could then be analyzed by a Medical Doctor to monitor the real current situation of the patient using open source instrument to generate analysis, report and data mining tasks.
Multilingual Speech Processing Activities in Quaero: Application to Multimedia Search in Unstructured Data
Authors: Lamel Lori
Published: February 2025

Spoken language processing technologies are principle components in most of the applications being developed as part of the Quaero program. Quaero is a large research and industrial innovation program focusing on the development of technologies for automatic analysis and classification of multimedia and multilingual documents. Concerning speech processing, research aims to substantially improve the state-of-the-art in speech-to-text transcription, speaker diarization and recognition, language recognition, and speech translation.
Improving SMT by Using Parallel Data of a Closely Related Language
Authors: Galuščáková Petra  , Bojar Ondřej
Published: February 2025

The amount of training data in statistical machine translation critically affects translation quality. In this paper, we demonstrate how to increase translation quality for one language pair by introducing parallel data from a closely related language. Specifically, we improve English→Slovak translation using a large Czech-English parallel corpus and a shallow MT system for Czech→Slovak translation. Several options are explored to identify the best possible configuration.
Document Similarity
Authors: Duží Marie  , Menšík Marek  , Perdek Michal
Published: February 2025

This paper deals with document similarity based on contextual similarity of words occurring in the documents. The method makes it possible to cluster documents in which words with similar meanings occur even though the words and their meanings are not identical. These similarities can be discovered due to context tracing. On the other hand, we can distinguish between homonyms bearing different meanings. Thus the proposed method provides a fine-grained information mining from particular documents.
Residual strength of cohesive soils: A review of the main influencing factors
Authors: Tika Th.
Published: February 2025

The significance of residual strength in stability of slopes in overconsolidated stiff clays, as well as in clays with pre-existing shear zones, caused by landsliding or tectonic movements is well established. This presentation aims to make an update review of the main factors that influence the residual strength of cohesive soils.
Assessment of landslide hazards in Central America
Authors: Bodare A.
Published: February 2025

A landslide hazard assessment program was implemented in Central America. The objective was to develop concepts based on t raphical and geological maps as well as seismic information. The mapping of the landslide hazard was carried out by the method posed by Mora and Vahrson. Other objectives were to strengthening laboratory capacities and monitoring dangerous slopes. socio-economic aspects were taken into account. Examples of typical landslides are also given.
Rehabilitation and prevention of landslides using reinforced soil-case histories
Authors: Dimitrievski L.
Published: February 2025

Landslides as natural phenomenon are historically bounded with geotechnical practice. In the past engineers had developed numerous solutions for prevention and rehabilitation of landslides. Nowadays, using modern material as geosyntetics the solutions for rehabilitation of landslides become a state of art. The aim of this paper is to present a several modern solution in which geosyntetics are applied. Some of these solutions are combination of geosyntetic reinforced soil (GRS) and reinforced concrete structures. Some of the solutions are developed for construction of embankment for new motorway like the one in Albania, and the other ones are solutions for rehabilitation of active landslides. Regardless the aim of the developed solutions they are unique as designs and what is most important successfully implemented.
Dyneema® for ballistic applications
Authors: van Gorp E. (Egbert)
Published: February 2025

The case study concerns the design and development of the Dyneema® product line and specifically its application in ballistic protection. The first part is about the yarn and the second part is about the ballistics. Why is there a difference? DSM has developed the yarn for a general market, so for all the markets being it ropes, being it nets, being it cut resistance, but also ballistics. That is where it started off with. After having the basic yarn, we moved into the applications and then it was found out that specific applications require changes to be made in the yarn, but also the value chain and approach to project management.
Obligation and Prohibition Norms Mining Algorithm for Normative Multi-agent Systems
Authors: Mahmoud Moamin A.  , Ahmad Mohd Sharifuddin  , Ahmad Azhana  , Yusoff Mohd Zaliman M.  , Mustapha Aida  , Hamid Nurzeatul Hamimah Abdul
Published: February 2025

Currently, research in normative multi-agent systems focus on how a visitor or new agent detects and updates its host norms autonomously without being explicitly given by the host system. In this paper, we present our proposed algorithm to detect the obligation and prohibition norms which we called the Obligation and Prohibition Norms Mining algorithm (OPNM). The algorithm exploits the resources of the host system, implements data formatting, filtering, and extracting the exceptional events, i.e. those that entail rewards and penalties of the obligation and prohibition norms and identifies the ensuing normative protocol. In this work, we assume that an agent is aware of its environment and is able to reason about its surrounding events. We then demonstrate the operation of the algorithm by applying it on a typical scenario and analyzing the results.