bluuebunny/crossref_metadata_2025 huggingface dataset:
Preemption Operators
Authors: Besnard Philippe  , Grégoire Éric  , Ramon Sébastien
Published: February 2025

We introduce a family of operators for belief change that aim at making a new piece of information to be preemptive so that any former belief subsuming it is given up. That is, the current belief base is to be altered even in the case that it is logically consistent with the new piece of information. Existing operators for belief revision are inadequate for this purpose because they amount to set-theoretic union in a contradiction-free case. We propose a series of postulates for such preemption operators. We show that a preemption operator can be defined as a multiple contraction followed by an expansion, drawing on operators from belief revision.
An Approach to Cluster Initialization for RBF Networks
Authors: Czarnowski Ireneusz  , Jędrzejowicz Piotr
Published: February 2025

Clustering techniques have an influence on the quality and performance of RBF networks. The aim of the paper is to propose and evaluate a similarity-based approach for cluster initialization with the agent-based population learning algorithm used to select prototypes from the obtained clusters. The performance of the RBF network constructed using the proposed clustering and selection approach is analyzed and evaluated. The proposed approach is also compared with different RBF network initialization procedures.
A Comparative Study of Classifier Ensembles for Karyotyping
Authors: Barandiaran Iñigo  , Maclair Grégory  , Goienetxea Izaro  , Jauquicoa Carlos  , Graña Manuel
Published: February 2025

The karyotyping step is essential in the genetic diagnosis process, since it allows the genetician to see and interpret patient’s chromosomes. Today, this step of karyotyping is a time-cost procedure, especially the part that consists in segmenting and classifying the chromosomes by pairs. This paper presents a compartive study of image classification of banded human chromosomes for automated karyotyping (AKS), by using classifier ensembles. The goal of this contribution is to propose and evaluate a solution to automate the karyotyping, from microscope images to the obtention of the classified chromosomes. For this purpose, we have evaluated several approaches based on classifier ensembles trying to find a solution that shows better trade-off between accuracy and computational cost.
A Knowledge-Based System for the Detection of Troubled Projects
Authors: Andrade Javier  , Ares Juan  , García Rafael  , Rodríguez Santiago  , Suśrez Sonia
Published: February 2025

Project planning and control is currently of crucial importance for software engineering. Failed projects waste billions of dollars and hours so the early identification of a troubled project will avoid substantial economic losses. Thus, the ideal situation would be to have a team of experts to analyse the project indicators, detect troubled projects and develop recovery plans. It’s hard to deal with this task in the real-life working because of the economic and temporary cost to businesses. This paper proposes a knowledge-based system to reduce these costs. The knowledge-based system evaluates the level of problems of the projects every x time, so full-time experts in project control are not needed. Just when a project could be in trouble the stakeholders will decide if a team of experts is required to evaluate the project and to take the necessary actions.
Ontology-driven Keyword-based Search on Linked Data
Authors: Bobed Carlos  , Esteban Guillermo  , Mena Eduardo
Published: February 2025

Nowadays, theWeb is experiencing a continuous change that is leading to the realization of the Semantic Web. Initiatives such as Linked Data have made a huge amount of structured information publicly available, encouraging the rest of the Internet community to tag their resources with it. Unfortunately, the amount of interlinked domains and information is so big that handling it efficiently has become really difficult for the final users. DBPedia, one of the biggest and most important Linked Data repositories, is a perfect example of this issue.
An Examination of the Impact of Neurophysiologic and Environmental Variables on Shopping Behavior of Customers in a Grocery Store in Japan
Authors: Kholod Marina  , Yada Katsutoshi
Published: February 2025

Thanks to the advancement of tracking technologies such as RFID (Radio Frequency Identification) in recent years, the study area of shopping behavior of consumers in retailing setting has globally regained increased interest. However, only few studies have attempted to analyze consumer shopping behavior using the RFID data. In this paper we postulate the hypotheses which can be tested using RFID data. This paper aims to contribute to the understanding of the impact of neurophysiologic (human) and environmental (store layout) variables on walking and shopping behavior, by conducting the literature review related to orientation of customers in retailing space. It proposes a framework that addresses the relationship between two types of variables; and builds up three main hypotheses related to their different facets. Finally, the managerial implications are also proposed based on the developed framework.
Judgment of Depressive Tendency from Emotional Fluctuation in Weblog
Authors: Matsumoto Kazuyuki  , Yoshioka Nobuhiro  , Kita Kenji  , Ren Fuji
Published: February 2025

Some people who have tendency toward depression describe their inner thoughts vividly in their weblogs. Such descriptions are sometimes made consciously but at other times unconsciously by the authors. If such unconscious authors could become aware of their own symptom of the depression, that would contribute to early detection and treatment of the sickness. To achieve this, it is essential to find out the tendency of depression from the descriptions in weblog. Because the symptom of depression is not static, we attempted to detect the tendency of depression focusing on the temporal fluctuation of emotion of the authors. As many weblogs describe what happened or what the authors felt in daily life like a personal journal, we thought that weblogs were ideal for obtaining the time-varying emotion of the authors. In this paper, we proposed the method to detect the tendency of depression in weblog. Our method is based on the temporal fluctuation of emotion described by the authors.
A Course-centered Ontology of Japanese Grammar for a Language Learning Support System
Authors: Wang Jingyun  , Mendori Takahiko
Published: February 2025

This paper describes a course-centered ontology of a specific Japanese grammar course. The leaf concepts of this course-centered ontology represent the grammar points (in total 205 grammar points), and the relations between them include concept dependences, similarities and contrasts, and even grammatical equivalence phenomena. A customizable learning support system based on this course-centered ontology has also been built to help instructors organize the course teaching materials and provide the learners personalized learning objects.
Argument Aggregation: Basic Axioms and Complexity Results
Authors: Dunne Paul E.  , Marquis Pierre  , Wooldridge Michael
Published: February 2025

Argument aggregation is the problem of combining argumentation frameworks. An argument aggregation procedure takes as input an argument framework for each agent in a system, intuitively representing the beliefs of that agent with respect to a disputed domain of discourse; the output is an argumentation framework that represents the social position on the domain of discourse. There are clear analogies between argument aggregation and the well-known preference aggregation problem, which has been extensively studied in the social choice community. The first contribution of this paper is to apply some of the methodology developed in social choice theory to argument aggregation. After recalling the basic framework of Dung's abstract argument systems, and introducing the argument aggregation problem, we motivate and formally define a collection of axioms that specific argument aggregation procedures might or might not satisfy. The second contribution of the paper is to consider the analysis of argument aggregation procedures with respect to these various axioms. We consider a natural representation for argument aggregation procedures, based on Boolean circuits. We then investigate the problem of verifying whether an argument aggregation procedure, presented in this way, does or does not satisfy a number of the axioms we introduced.
Predicting Foreseeable Uncertainty Using a Value Driven Design Methodology
Authors: Fanthorpe C.  , Soban D.  , Price M.  , Mullan C.  , Hollingsworth P.
Published: February 2025

Program overruns and delays have long been an issue within the aerospace industry. With so many external pressures from stakeholders and the continuously declining economy, aerospace manufacturers and developers are forced to concentrate effort to limit these overruns and delays. This paper introduces the development of a Value Driven Design inspired Capability Function (CF) that will ultimately be used to predict overrun and delay occurrence while also quantifying their economic impact on the program being developed. Within this paper specifically the inherent sub-variable reactions within the CF are explored and the most influential and design controllable variables identified. Upon identifying these variables an updated approximation of the CF is presented.
Value Driven Design In The Presence Of Fuzzy Requirements
Authors: Quinn Colin  , Soban Danielle  , Price Mark
Published: February 2025

As the demands and expectations of today's customers continue to rise, the designs required to fulfil these needs are becoming increasingly complex. More so, customers nowadays seek solutions that offer good value for money and satisfy both today's and tomorrow's needs. Recently, however, the cost and delay of developing these complex designs has been escalating out of control to the great dissatisfaction of both stakeholders and customers. Furthermore design teams are still struggling to effectively manage changing customer requirements at every stage of the design development without incurring expensive redesign charges. To address these concerns, this paper will introduce an innovative technique which infuses the inherent nature of System Engineering using fuzzy requirements with the evaluative framework of Value Driven Design. Benefits and limitations of the current methods will be reviewed, before outlining the steps of the proposed technique.
An attempt to quantitatively underpin the rationality of maintenance support
Authors: Rijsdijk C.  , Ghobbar A.A.
Published: February 2025

Professional maintenance support is generally seen as a sacrifice to achieve benefits. The societal expenses on maintenance resources are significant and they may be justified by some benefits obtained from an ability to timely respond to maintenance requests. This paper comments on an approach from Smith & Knezevic and Dinesh Kumar & Knezevic (Ref.1, Ref.2) to quantitatively relate benefits with avoiding delays in maintenance support. This paper argues for an improved approach.
Agent-Based Safety Risk Analysis of Time Based Operation in Future TMA
Authors: Everdij Mariken H.C.  , Blom Henk A.P.  , Bakker G.J. (Bert)  , Zmarrou Hicham
Published: February 2025

The SESAR and NEXTGEN drivers to invest in the development of Time Based Operations (TBO) are the expected capacity, economy and safety benefits in accommodating future traffic demands. This paper addresses safety analysis of a SESAR developed TBO approach in the Terminal Manoeuvring Area (TMA) from a complexity science perspective, and presents estimated safety risks and sensitivities emerging from the behaviour of a multi-agent model.
Evalutating Different Scenario in Maritime Coal Supply Chain Using Simulation
Authors: Arata Giacomo  , Frascheri Silvana  , Revetria Roberto  , Testa Alessandro
Published: February 2025

The purpose of this study is undertake a review of the seaborne coal supply chains for two important Power Stations in the Mediterranean Sea (associated at two important Companies). We have studied four scenarios. Each scenario has been developed in terms of: ocean freight assessment and preliminary operative costs estimation. The purpose of this study is to identify, analyse and make recommendations on key issues and potential bottlenecks that might result in capacity constraints and/or supply chain inefficiency thus leading in unnecessary additional costs of the coal delivered to the Power Plants.
Cross-linking Experience of Estonian WordNet
Authors: Kahusk Neeme  , Orav Heili  , Vare Kadri
Published: February 2025

Our paper describes work we have done for Estonian WordNet according to META-NORD project tasks. We discuss the linking process of Estonian WordNet and Core WordNet from linguistic, lexicographical and technical point of view. Also, cross-language linking is briefly described.
Analysis and Generation of Pseudo-Industrial MaxSAT Instances
Authors: Ansótegui Carlos  , Bonet María Luisa  , Levy Jordi  , Li Chu Min
Published: February 2025

We propose two random generation models for MaxSAT and Partial MaxSAT in order to produce instances more similar to the industrial benchmarks used in the MaxSAT evaluation. Following the work of [4] and [2], we analyze properties of industrial instances and use a non-uniform (powerlaw) distribution to select the variables.
Supervised Texture Classification Using Optimization Techniques
Authors: Puig Domenec  , Melendez Jaime  , Solanas Agusti  , Valls Aïda  , Moreno Antonio
Published: February 2025

Gabor Filters have been extensively used to solve the texture-based image segmentation problem, following the filter bank and filter design approaches. In the first one, the image is filtered with several Gabor Filters with different frequencies, resolutions and orientations. The parameters of these filters are fixed and can be suboptimal for a particular processing task. The techniques based on filter design, on which this work is focused, permit to “tune” the parameters of the filter. This work proposes the use of two optimization algorithms (Guided Random Search and Particle Swarm) in this tuning process, showing good results in texture classification tests.
Data Mining and Query Answer techniques applied to a bio-nutritional trials focused Expert System
Authors: Alonso Oscar  , De La Peña Pedro  , Moreno Aitor  , Anzaldi Gabriel  , Domingo Xavier
Published: February 2025

Controlled clinical trials are studies done by scientists on a concrete domain with the objective of execute a prospective analysis that attempts to compare the effect and value of one or more interventions in humans under specific conditions. Our case study is focused on applying artificial intelligence techniques to support scientists working on bio-nutritional trials, which rely on the study of the effect of consuming food with biomarkers on human health. This work is developed under the HENUFOOD2project. In order to simplify the domain, two trial stages are considered: the trial experimental execution and the trial data analysis. It is after the trial has been executed and all the information collected, when we try to discover non obvious knowledge among the trial data and support the scientists on their everyday analytical tasks. On the one hand, this analysis includes generic statistical manipulation and data discovery empowered by data mining techniques. On the other hand, a scientist support engine has been developed in order to allow non data manipulation and analysis experts to access the information and ask for new analysis processes. The approach, thanks to a user friendly interface enabled with query answering techniques, is able to interact with the user in a conversational mode and run analytical or data discovery processes, do a semantic search on previous indexed works or, finally, infer new rules to feed the expert system ontology. The expert system is not fully covered on this paper, as it will focus on the explanation of the usage of data mining and query answering techniques on that bio-nutritional focused expert system.
Traversal and Relations Discovery among Business Entities and People using Semantic Web Technologies and Trust Management
Authors: Lavbič Dejan  , Žitnik Slavko  , Šubelj Lovro  , Kumer Aleš  , Zrnec Aljaž  , Bajec Marko
Published: February 2025

There are several data silos containing information about business entities and people but are not semantically connected. If in integration process of data sources trust management is also employed than we can expect much higher success rate in relations discovery among entities. Majority of current mash-up approaches that deal with integration of information from several data sources omit or don't fully address the aspect of trust. In this paper we discuss semantic integration of personal and business information from various data sources coupled with trust layer. The resulting system has higher and more defined solidity while trust for single entity and also for data source is defined. The case study presented in the paper focuses on integration of personal information from data sources mainly maintained by government authorities who have higher trustability than information from social networks, but we also include other less trusted sources. The developed SocioLeaks system allows users traversal and further relation discovery in a graph based manner.
Refined Coherence as Constraint Satisfaction Framework for Representing Judicial Reasoning
Authors: Araszkiewicz Michał  , Šavelka Jaromír
Published: February 2025

In this paper we present a refined coherence as constraint satisfaction framework as a potent tool for representation of judicial reasoning. We demonstrate usefulness of the framework on a model of the famous Popov v Hayashi case. Although we do not claim that the presented framework can be already considered fully developed we believe that the account constitutes a major improvement over those that have been published previously. The resulting representation is strongly anchored in a raw text of the decision itself and by means of formal logic can be transformed to a graphical representation which is a surprisingly intuitive and transparent account of application of rules in legal cases.
Issues of parameter identification for numerical analysis with advanced constitutive models
Authors: Schweiger Helmut F.
Published: February 2025

Due to the availability of commercial finite element and finite difference codes which are, due to high level graphical user interfaces, easy to handle, numerical methods are routinely applied in geotechnical engineering to assess the load displacement behaviour of geotechnical structures, e.g. excavations, tunnels and foundations. However, simple failure criteria such as the Mohr-Coulomb criterion are not sufficient for representing the complex stress strain behaviour of soils for stress states well below failure and thus advanced constitutive models are increasingly employed in practice. This leads to the problem of parameter identification because advanced models need more, and sometimes different, parameters than usually available in a standard geotechnical report, which in general do not reflect these developments in numerical modelling. This leaves the designer with the difficult task of determining input parameters for numerical analyses based on, at least in many cases, limited information. Some practitioners therefore favour the development of a public data base where parameters for common material models for different soils could be made available, but to the author's opinion this is not the way forward. Another option discussed is the extended use of correlations based on in-situ testing.
Weakness zones in tunnelling
Authors: Li Charlie C.
Published: February 2025

Weakness zones in competent rock masses are associated with tectonic movements in the history. Shear faulting during the tectonic movements results in that the in-situ stresses in a weakness zone are different from those in the host rock around. In general, the in-situ stresses in a weakness zone are smaller than those in the host rock and their orientations are either sub-parallel with or sub-perpendicular to the tabular plane of the weakness zone. After excavation, stresses change in such a manner that the radial stress on the exposed surfaces drops to zero and the tangential stress is elevated somehow. The stress change would result in rock crushing in the weakness zone. Without taking immediate support measures, cave-in would quickly extend upward. A key measure to prohibit cave-ins is to create a certain amount of confining pressure on the exposed rock surfaces. This could be achieved either forepoling or immediate external support after excavation. The paper gives an overview of the in-situ stress state in weakness zones through the study results collected in the literature. The stress changes after excavation are presented with the help of a modeling study. The mechanics of rock crushing in cave-ins are explained using the Mohr's circle.
Reducing computational workload from electrically large quadratic surface at high frequency
Authors: Wu Yu Mao  , Chew Weng Cho  , Jiang Li Jun
Published: February 2025

In this paper, we propose a frequency independent approach, the numerical steepest descent path method, for computing the physical optics scattered electromagnetic field on the quadratic parabolic and saddle surfaces. Due to the highly oscillatory nature of the physical optics integral in the high frequency regime, the proposed method relies on deforming the integration path of the integral into the numerical steepest descent path on the complex plane. Furthermore, critical-point contributions which contain the stationary phase point, boundary resonance points, and vertex points, are comprehensively studied in terms of the numerical steepest descent path method. To illustrate the efficiency of the proposed method, some extensive numerical results for the physical optics integral defined on arbitrary lines, triangles and polygonal domains are demonstrated. Finally, numerical results on these quadratic surfaces illustrate that the proposed numerical steepest descent path method is frequency independent in computational cost and error controllable in accuracy.
Generalized-ray theory for electromagnetic fields in layered media
Authors: Štumpf Martin  , de Hoop Adrianus T.  , Vandenbosch Guy A.E.
Published: February 2025

Generalized-ray theory for time-domain electromagnetic fields in a horizontally layered medium is developed. After introducing appropriate integral transformations and source-type field representations in vertically inhomogeneous media, the solution is written out in terms of generalized ray constituents whose space-time counterparts are constructed with the aid of the Cagniard-DeHoop technique. The formulation lays the foundation to rigorously study time domain field behavior in numerous practical topologies where a stratified multilayer is involved, such as planar antennas and circuits, but also EMC and propagation problems.
K-depth RDF Keyword Search Algorithm Based on Structure Indexing
Authors: Bae Minho  , Nguyen Duc  , Kang Sanggil  , Oh Sangyoon
Published: February 2025

Information retrieval from large scale RDF datasets is a challenging task. Because it takes much time to process query and it is hard to store a large collection of RDFs, it requires an efficient method to index and query. In this paper, we propose a novel RDF management system architecture along with indexing and querying algorithms. Our empirical experiments show our system performs substantially better than the conventional system. Also we verify the effectiveness of k-depth concept in our design with additional experiments.
Web Service Composition with Petri Net and Ontology
Authors: Marakhimov Azizbek  , Yim Jaegeol  , Joo Jaehun
Published: February 2025

A web service is a function that can be invoked anytime by any program on the Internet. Making use of web services, we can very efficiently develop a new software system. However, automatic composition of web services is challenging because independently developed web services are not always compatible. Many studies suggest mediation as an effective method of composing heterogeneous web services. Among them, Petri net and ontology-based mediation is eye-catching. This paper introduces a web service composition solution that builds Petri net model of interactions between web services and ontologies representing domain knowledge, then combines the Petri net models with ontology-based mediation.
SimpLe: Lexical Simplification using Word Sense Disambiguation
Authors: Yakovets Nikolay  , Agrawal Ameeta
Published: February 2025

Sentence simplification aims to reduce the reading complexity of a sentence by incorporating more accessible vocabulary and sentence structure. In this chapter we examine the process of lexical substitution and particularly the role that word sense disambiguation plays in this task. Most previous work substitutes difficult words using a predefined dictionary. We present the challenges faced during lexical substitution and how it can be improved by disambiguating the word within its context. We provide empirical results which show that our method creates simplifications that significantly reduce the reading difficulty of the input text while maintaining its grammaticality and preserving its meaning.
SA-E: Sentiment Analysis for Education
Authors: Altrabsheh Nabeela  , Gaber Mohamed Medhat  , Cocea Mihaela
Published: February 2025

Educational data mining (EDM) is an important research area that is used to improve education by monitoring students performance and trying to understand the students' learning. Taking feedback from students at the end of the semester, however, has the disadvantage of not benefitting the students that have already taken the course. To benefit the current students, feedback should be given in real time and addressed in real time. This would enable students and lecturers to address teaching and learning issues in the most beneficial way for the students. Analysing students' feedback using sentiment analysis techniques can identify the students' positive or negative feelings, or even more refined emotions, that students have towards the current teaching. Feedback can be collected in a variety of ways, with previous research using student response systems such as clickers, SMS and mobile phones. This paper will discuss how feedback can be collected via social media such as Twitter and how using sentiment analysis on educational data can help improve teaching. The paper also introduces our proposed system Sentiment Analysis for Education (SA-E).
PlosOpenR Exploring FP7 Funded PLOS Publications
Authors: Jahn Najko  , Fenner Martin  , Schirrwagen Jochen
Published: February 2025

This case study explores alternative science metrics on grant-supported research publications. The study is based on plosOpenR, a software package for the statistical computing environment R. plosOpenR facilitates access to the application programming interfaces (API) provided by Open Access publisher Public Library of Science (PLOS) and OpenAIRE – Open Access Infrastructure for Research in Europe.
Midata: Towards a Personal Information Revolution
Authors: Shadbolt Nigel
Published: February 2025

There has been an explosion of data on the Web. Much of this data is generated by or else refers to individuals. This emerging area of personal information assets is presenting new opportunities and challenges for all of us.
Digital Enlightenment, Mydex, and Restoring Control over Personal Data to the Individual
Authors: Heath William  , Alexander David  , Booth Phil
Published: February 2025

The present online economy is based on organisation-centric control of personal data, identity and proof of claims. The benefits of adding individual-centric control over personal data and identity appear significant. The paper describes the research, development and deployment to mid-2013 of a platform to achieve this by the London-based social enterprise tech startup Mydex CIC.
Learning and Concurrent Engineering in the Development of a High Technology Product/Service System
Authors: Beckett Ronald C.
Published: February 2025

This paper explores project management techniques that can support the development of novel product-service systems. Some observations from the development of an airborne earth properties measurement system are provided. The intellectual property and the data this system could potentially deliver was more important than the potential commercial value of the product itself. What was sought was a complete business service solution. A concurrent engineering approach was implemented linking both product development and survey data/analysis services. The blend of product and service was integrated using a function modeling technique. It was observed that the implementation of some functions required radical innovation whilst others could be implemented through incremental improvements to current practice. It is suggested in the paper that adapting production learning curve concepts that reflect the relative degrees of uncertainty involved in individual subsystems can enhance project management forecasting practice
A Case Study on Implementing Design Automation: Identified Issues and Solution for Documentation
Authors: Poorkiany Morteza  , Johansson Joel  , Elgh Fredrik
Published: February 2025

Computer supported engineering design systems are used as support for designers by automating some tasks/activities of design process. From industrial aspect, implementation of a developed prototype system is a critical task. User acceptance is of high importance and strongly related to the access and understanding of the knowledge which requires a high level of system transparency. In addition, integration of the system in the environment or its compatibility with other systems/tools should be considered. Our experiences in industry show that two major issues are usually raised up during implementing a design automation system which are: documentation and organization. Documentation concerns the way of capturing, storing and distributing the information in systems, and organization concerns alignment of the system with other systems or tools as well as communication and collaboration among system participants and users. The focus of this paper is on documentation and the importance of reuse, design rationale and traceability is discussed. In order to align closely with industry practices, the thoughts are presented along with an on-going case study, where the development and analysis of roof racks for cars are being automated, and a number of challenges have been discussed.
Cloud Automatic Software Development
Authors: Benfenatki Hind  , Saouli Hamza  , Benharkat Nabila  , Ghodous Parisa  , Kazar Okba  , Amghar Youssef
Published: February 2025

Software Engineering must face the new challenges imposed by the Cloud Computing paradigm. New methodologies for software development must be proposed. For this purpose, this paper presents a specific methodology for collaborative software development in the Cloud, and then describes the architecture of Automatic Software Development as a Service (ASDaaS). The goal of ASDaaS is to popularize software development in the Cloud and make it accessible to non-IT professionals. In fact, with Cloud Computing and the convergence toward “Everything as a Service”, we no longer consider the classical context of software development, where IT teams or integrators are solicited to perform software development. ASDaaS allows a stakeholder, without computer skills to perform automatic developments from functional requirements, SLA (Service Level Agreement) requirements, and business rules definition. ASDaaS promotes the discovery and composition of web services. It is itself composed of a set of services which can carry out and cover the whole process of software development. ASDaaS also allows the automatic development on Cloud platforms of undiscovered services by model transformation. Indeed, for each new development, a choice of PaaS (Platform as a Service) is performed by matching development constraints imposed by the stakeholder, with the features and services offered by the Cloud Platform.
Securing Data Quality Beyond Change Management in Supply Chain
Authors: Bondar Sergej  , Ruppert Christoph  , Stjepandić Josip
Published: February 2025

Concurrent engineering in distributed development environments like those in the automotive or aerospace industry sets enormous demands on the organization of collaboration between the companies and departments involved. Seamless data communication in all phases of the product development process is a prerequisite for cost-optimal and successful collaboration processes. Automotive suppliers that develop system components for a number of different OEMs or tier-1 suppliers face the challenge of ensuring that they make the CAD data available in the format required by their customers and with a high level of reliability and, if data translation is involved, that they take the system configuration of the respective customer into consideration. The main obstacle in this process chain is the insufficient data quality. This paper describes the approaches conducted in cooperation between the supplier portal www.opendesc.com and Heidelberger Druckmaschinen AG.
A Predictive Method for the Estimation of Material Demand for Aircraft Non-Routine Maintenance
Authors: Zorgdrager M.  , Curran R.  , Verhagen W.J.C.  , Boesten B.H.L.  , Water C.N.
Published: February 2025

A method is developed to forecast material demand caused by aircraft non-routine maintenance. Non-routine material consumption is linked to scheduled maintenance tasks to gain insight in demand patterns. Subsequently, a suitable prediction model can be applied to forecast material demand. To test this approach, a structural part selection of the Boeing 737NG fleet of KLM Royal Dutch Airlines has been sampled to form a test case. Several regression and stochastic models have been applied to the part selection to judge model fit and validity. Resulting from this analysis, the Exponential Moving Average (EMA) was chosen as superior model for its small error values and ability to capture general demand trends. The forecast method incorporating the EMA model has been validated by forecasting and comparison against an independent dataset. Concluding, the non-routine maintenance forecast method, comprising the non-routine material consumption forecasts linked to scheduled maintenance tasks, can be used to produce material predictions expressed in probability and average quantity figures for upcoming maintenance checks.
Overview on the Development of Concurrent Design Facility
Authors: Xu Dajun  , Bil Cees  , Cai Guobiao
Published: February 2025

Concurrent Design Facility (CDF) is a workspace and information system allowing multidisciplinary experts working in a focused environment and conducting design collaboration. CDF has been proved to be an effective and efficient manner to implement Concurrent Engineering methodology. The first prototype of CDF was Project Design Center established by the Jet Propulsion Laboratory (JPL) in 1994 for the purposes of developing and implementing new tools and processes centering on concurrent engineering for space system. The most famous CDF was established at the European Space Agency (ESA) in 1998 and it has been a template for subsequent development of CDF. To date, more than 20 concurrent design environments have been developed around the world by industries, governments and universities. This paper gives an overview of the background, history and status of CDF development. Some successful applications of CDF in the field of aerospace and its benefits are outlined. Key elements of a CDF, include process, multidisciplinary team, integrated data model, appropriate facility and software infrastructure, are summarized and discussed. Some other topics related with CDF, such as Integrated Design Tool, Multidisciplinary Design Optimization (MDO), are clarified by distinguish their characteristics with CDF. Since the interaction and collaboration among experts are prominent aspect in CDF, the effect of personal behaviors and culture in CDF are also discussed. In engineering education, CDF is invaluable to lecturers by enabling the entire student team to gain cross-discipline skills and at the same time stay at the cutting edge of technology. The paper concludes with a discussion of proposed trends of CDF in the future.
Granular Computing for Gait Recognition Through Singular Spectrum Analysis
Authors: Samà Albert  , Ruiz Francisco J.  , Agell Núria
Published: February 2025

Gait Recognition is a biometric application that aims to identify a person by analyzing his/her gait. Common methods for gait recognition rely on supervised machine learning techniques and step detection methods. However, the latter has been showed to provide poor performances in ambulatory conditions [4]. In this paper, a Granular Computing approach that does not require to detect steps is applied to the accelerometers signals obtained from gait. This approach involves information granules, based on density measures and collected from a reconstructed attractor, that can be obtained at different granularity levels and hence gather information at different scales. The performance of the method is evaluated on the task of recognizing 12 people by his/her gait.
Applying COAALAS to SPiDer
Authors: Moreno Jonathan  , Cortés Ulises  , Garcia-Gasulla Dario  , Gómez-Sebastià Ignasi  , Alvarez-Napagao Sergio
Published: February 2025

Artificial Intelligence techniques and tools have been applied to Assistive Technologies (AT) in order to support elder or impeded people on their daily activities. A common application are intelligent pill dispensers and reminders that help the patient comply with his medication. This has become even more important, as patients suffering from multiple pathologies are prescribed cocktails of drugs that require strict compliance in order to achieve a successful treatment. Existing intelligent pill dispensers tend to focus in the user-tool interaction, neglecting user's connection with its social environment and the possibility to monitor patient's behaviour, effectively adapting to a dynamic environment and providing early response to potentially dangerous situations by detecting unexpected or undesired patterns of behaviour. In previous work we have presented COAALAS, an intelligent social and norm-aware device for elder people that is able to autonomously organize, reorganize and interact with the different actors involved in elder-care, either human actors or other devices. In this paper, we present SPiDer an intelligent pill dispenser integrated with the COAALAS architecture.
Automatic Hand Detection in RGB-Depth Data Sequences
Authors: Konovalov Vitaliy  , Clapés Albert  , Escalera Sergio
Published: February 2025

Detecting hands in multi-modal RGB-Depth visual data has become a challenging Computer Vision problem with several applications of interest. This task involves dealing with changes in illumination, view point variations, the articulated nature of the human body, the high flexibility of the wrist articulation, and the deformability of the hand itself. In this work, we propose an accurate and efficient automatic hand detection scheme to be applied in Human-Computer Interaction (HCI) applications in which the user is seated at the desk and, thus, only the upper body is visible. Our main hypothesis is that hand landmarks remain at a nearly constant geodesic distance from an automatically located anatomical reference point. In a given frame, the human body is segmented first in the depth image. Then, a graph representation of the body is built in which the geodesic paths are computed from the reference point. The dense optical flow vectors on the corresponding RGB image are used to reduce ambiguities of the geodesic paths' connectivity, allowing to eliminate false edges interconnecting different body parts. Finally, we are able to detect the position of both hands based on invariant geodesic distances and optical flow within the body region, without involving costly learning procedures.
User Centered Evaluation of EQUALS, a Rule-based Legal Decision-aid
Authors: Sasidharan Padmaja  , Henderson Claire  , Lockwood Graeme  , Keppens Jeroen  , Jones Andrew JI  , Brohan Elaine
Published: February 2025

EQUALS is the legal decision support component of a larger project to support individuals with mental health problems in employment or seeking employment. The decision-aid uses an interactive interview session to generate legal advice for its user. The EQUALS decision-aid was subjected to two rounds of user acceptance testing (UAT), with the assistance of domain experts. This paper discusses results from the UAT, based on which the potential and feasibility of legal decision aids are discussed.
Flexible Processing and Classification for eDiscovery
Authors: Krasner Daniel  , Langmore Ian
Published: February 2025

A high-performance, scalable text processing pipeline for eDiscovery is outlined. The classification module of the pipeline is based on the random forest model which is fast, exible and allows for relevance scoring and feature importance coupled with high-accuracy results. The feature selection approach combines natural language processing with legal domain input, and is based on regular expressions, which allows for linguistic variation and subtle ne-tuning. These two components of the pipeline are described in some detail. Briefly discussed are a number of the other features, which include relevance hypothesis testing, deduping and social communication network analysis.
A Multidimensional Market Analysis Method Using Level-Velocity-Momentum Time-Series Vector Space
Authors: Ito Shin  , Kiyoki Yasushi
Published: February 2025

Numerous stock market analysis methods have been proposed from simple moving average to the use of artificial intelligence such as neural networks and Bayesian networks. In this paper, we introduce a new concept and a methodology that enable predictability of asset price movement in the market by way of inference from the past data. We use schema to describe an economic instance, and a set of schema in time series to describe the flow of economic instances in the past. Within the schema, we introduce a concept of velocity and momentum to effectively characterize the dynamic nature of the market. We compare the current and the past instances to identify resemblance and take inference as a predictive capability of future asset price movement.
LIMA: A Modeling Language for Enhancing Mobile Application Interoperability
Authors: Prutsachainimmit Korawit  , Tokuda Takehiro
Published: February 2025

With the rapid increase in popularity of mobile devices, a huge number of mobile applications are published with rich functionalities. However, the available functionalities still do not satisfy the variety of users' needs. Some common tasks cannot be accomplished by using an individual application, but require the interoperability of multiple applications. Unfortunately, most of the applications are not ready to be integrated due to the lack of formal descriptions of its offered functionalities. Accordingly, it becomes essential to describe the shared functionalities of mobile applications in a structured way. We address this problem by proposing an XML-based modeling language, called LIMA (Language for Interoperability of Mobile Applications), that allows developers to describe the shared functionalities of mobile applications. In order to enhance the interoperability, LIMA is designed to abstract the functionalities of mobile applications from the concrete details on how to invoke those functions. We demonstrate our modeling language by implementing a parser tool that generates proxy classes to leverage the mobile application development process. Moreover, we apply our modeling language with a mobile mashup approach to demonstrate automatic mobile application integration.
Form design strategy for Chinese riverside new towns based on the water system structure. Taking southern Hexi in Nanjing and northern new town in Nanchong as examples
Authors: Hua Liu  , Peng Gui
Published: February 2025

Nowadays many cities in China, especially riverside cities, are expanding rapidly into new towns. There are always distinct river systems in such places, which generate the unique urban space for the new town while at the same time restricting the land use and transportation system. To shortcut the process of planning and building, many natural rivers have been straightened, resulting in similarities in the development and construction of many new Chinese cities. This paper focuses on how to integrate natural water systems into the overall structure of urban forms in riverside new cities. The actual projects presented in this paper include two kinds of natural water system structures: one is located in Nanjing, which is situated in the heart of the Yangtze River Delta and is a plain region with water nets while the other, in Nanchong, is located halfway down the Jialing River in Sichuan and the water system there is a spillway system with rolling hills. On the basis of detailed research into the characteristics of these two water system structures, this paper discusses on the one hand how to generate open public space and deal with the interaction of various levels of road systems by using mapping analysis, and on the other aims to form new urban space systems with local characteristics through analysing the morphology types of the riverside district.
Evaluating Business Models: Developing a Business Model Process Roadmap And Prioritisation Tool
Authors: O'Reilly Philip  , Duane Aidan  , Prasath Rajendra  , Andreev Pavel
Published: February 2025

Recently, most organisations feel the need to modify existing business models and create new ones to adjust themselves to a dynamically changing business environment. However, a review of the business models literature reveals a lack of an effective business model construction tool and prioritisation framework. This despite the fact that the need for such a framework is clear, with recent studies revealing that most organisations are modifying existing business models and creating new ones. This paper utilises extant theory to construct a process-based tool whose objective is to enable organisations to construct effective business models. Furthermore, it applies Multi-Attribute Utility Theory to construct a Business Model Prioritisation framework, a rigorous decision making tool in enabling managers to prioritise the developed business models for implementation. Therefore, this paper not only contributes to theory but also has significant practical implications for organisations.
An Efficient Implementation of Blind Signal Detectors Suitable for Wireless Ad Hoc Networks
Authors: Ishida Yuko  , Kamiya Yukihiro
Published: February 2025

We propose an efficient implementation for a multi-stage blind signal detector for spread spectrum signals suitable for wireless ad hoc network nodes. The multi-stage blind signal detector separately detects all signals from surrounding nodes after RAKE combining using neither training sequences nor signal timing information. However it requires a large scale memory and results in heavy computational load. In this paper, we solve this problem by avoiding the generation of replica signals. The performance verification is conducted by computer simulations.
Approach to Development of Effective E-Learning Courses
Authors: Lisitsyna L.  , Lyamin A.
Published: February 2025

In this paper we state the problem of developing effective Massive Open Online Courses (MOOC). The model of life cycle of a course is considered. The principles of creating courses are formulated; two types of such courses are defined. Stages of creation of courses are analyzed. The technique of expected learning results planning based on specification of initial competences of graduates of MOOC is offered. The model for establishment of connections between competences and learning results of a course are presented. The method of instructional design of MOOC is offered.