bluuebunny/crossref_metadata_2025 huggingface dataset:
Macros, Reactive Plans and Compact Representations
Authors: Bäckström Christer  , Jonsson Anders  , Jonsson Peter
Published: February 2025

The use and study of compact representations of objects is widespread in computer science. AI planning can be viewed as the problem of finding a path in a graph that is implicitly described by a compact representation in a planning language. However, compact representations of the path itself (the plan) have not received much attention in the literature. Although both macro plans and reactive plans can be considered as such compact representations, little emphasis has been placed on this aspect in earlier work. There are also compact plan representations that are defined by their access properties, for instance, that they have efficient random access or efficient sequential access. We formally compare two such concepts with macro plans and reactive plans, viewed as compact representations, and provide a complete map of the relationships between them.
Inconsistency Measurement based on Variables in Minimal Unsatisfiable Subsets
Authors: Xiao Guohui  , Ma Yue
Published: February 2025

Measuring inconsistency degrees of knowledge bases (KBs) provides important context information for facilitating inconsistency handling. Several semantic and syntax based measures have been proposed separately.
Implementation of Critical Path Heuristics for SAT
Authors: Huang Jinbo
Published: February 2025

Recent work has shown that SAT can be theoretically more powerful than heuristic search provided the heuristic used by search is implemented as a set of clauses on which unit propagation simulates the evaluation of the heuristic. The hmaxheuristic has been shown to be implemented trivially by the empty set of clauses. This paper presents an implementation of hm, a generalization of hmax.
On Partitioning for Maximum Satisfiability
Authors: Martins Ruben  , Manquinho Vasco  , Lynce Inês
Published: February 2025

Partitioning formulas is motivated by the expectation to identify easy to solve subformulas, even though at the cost of having more formulas to solve. In this paper we suggest to apply partitioning to Maximum Satisfiability (MaxSAT), the optimization version of the well-known Satisfiability (SAT) problem. The use of partitions can be naturally combined with unsatisfiability-based algorithms for MaxSAT that are built upon successive calls to a SAT solver, where each call identifies an unsatisfiable subformula. One of the drawbacks of these algorithms results from the SAT solver returning large unsatisfiable subformulas. However, when using partitions, the solver is more likely to identify smaller unsatisfiable subformulas. Experimental results show that the use of partitions in MaxSAT significantly improves the performance of unsatisfiability-based algorithms.
An Infrastructure for Human Inclusion in MAS
Authors: Almajano Pablo  , Trescak Tomas  , Rodriguez Inmaculada  , Lopez-Sanchez Maite
Published: February 2025

The field of Multi-Agent Systems (MAS) focuses on the design and development of systems composed of autonomous entities (i.e. agents) which interact in order to perform specific activities. In general, direct human participation in these systems is not considered. We advocate that 3D Virtual Worlds technology can be used to facilitate human inclusion in a MAS system. In this demo we present an infrastructure, the Virtual Institutions eXEcution Environment (VIXEE), which allows direct human participation in MAS providing an immersive experience.
ICNP Catalogues for Supporting Nursing Content in Electronic Health Records
Authors: Coenen Amy  , Kim Tae Youn  , Bartz Claudia C.  , Jansen Kay  , Hardiker Nicholas
Published: February 2025

The purpose of this study was to describe sets of nursing concepts including, for example, nursing diagnoses and interventions, which are knowledge-based and clinically relevant to support nursing practice. Health information systems using the International Classification for Nursing Practice (ICNP®) provide a platform for standardized nursing documentation for patients' health care, clinical decision support, and repositories for re-use of clinical data for quality evaluation, research, management decisions and policy development. Clinically relevant sets of ICNP concepts can facilitate implementation of health information systems for nursing. Descriptive analysis was used to examine the types of, and relationships among, existing nursing content sets. Findings included the need for various types of content sets, as represented in ICNP catalogues, for nursing documentation. Five types of ICNP Catalogues included Care Plans, Order Sets, Clinical Templates, Nursing Minimum Data Sets, and Terminology Subsets.
IT as an Enabler of Sustainable Use of Data from Innovative Technical Components for Assisted Living
Authors: Knaup Petra  , Schöpe Lothar
Published: February 2025

The authors see the major potential of systematically processing data from AAL-technology in higher sustainability, higher technology acceptance, higher security, higher robustness, higher flexibility and better integration in existing structures and processes. This potential is currently underachieved and not yet systematically promoted. The authors have written a position paper on potential and necessity of substantial IT research enhancing Ambient Assisted Living (AAL) applications. This paper summarizes the most important challenges in the fields health care, data protection, operation and user interfaces. Research in medical informatics is necessary among others in the fields flexible authorization concept, medical information needs, algorithms to evaluate user profiles and visualization of aggregated data.
Design of a Computerized Provider Order Entry System for Ordering of Chemotherapy
Authors: Lee SunHee  , Lee KiHyuk  , Cho Eun-Young  , Hwang Hee  , Kim KiDong  , Cho Young-Jae  , Kim JungEun  , Lee Jae Hyuk  , Baek Rong Min  , Jeon YoungSik
Published: February 2025

With the developments in medical information systems and the widespread establishment of medical information systems that include computerized order communication systems (OCSs), there has been an increase in the establishment of computerized chemotherapy order systems. In this study, we aim to design an improved computerized provider order entry (CPOE) system that integrates a chemotherapy ordering system that can issue a customized order in response to a provider's diverse chemotherapy prescription needs with an automated issuance of dosage, treatment schedule, and treatment method. We expect the newly designed system to be able to prevent the common errors in complex chemotherapy ordering systems and reduce the time required for ordering.
Trend Analysis and Future Development of Taiwan Electronic Medical Records
Authors: Ke Wan-Chi  , Hsieh Yi-Chung  , Chen Yen-Chen  , Lin En-Te  , Chiu Hung-Wen
Published: February 2025

The aim of this study was to validate a specially designed electronic medical records (EMRs) questionnaire for use in Taiwan. Published reviews of national trends and EMRs characteristics from seven countries in the Americas, Oceania, Europe, and Asia were used to design the Google-based document. This questionnaire is intended for use by medical institutions, government health units, manufacturers, academic institutions, and the public, and may be administered by information officers, non-IT staff (physicians, nurses, policymakers, vendors), and even people. A modified Delphi method was employed to determine the most appropriate content for the questionnaire. In conclusion, this research demonstrated trend analysis of several national EMRs, and also identified the meaningful use of EMR and establishing governmental EMR office are the important directions for Taiwan EMRs.
Segmentation of Crohn, Lymphangiectasia, Xanthoma, Lymphoid Hyperplasia and Stenosis diseases in WCE
Authors: Hajo-Maghsoudi Omid  , Talebpour A.  , Soltanian-Zadeh H.  , Haji-Maghsoodi N.
Published: February 2025

Wireless capsule endoscopy (WCE) is a great breakthrough for Gastrointestinal (GI) Tract diagnoses which can view the entire gastrointestinal tract, especially the small bowel, without invasiveness and sedation. However, a tough problem associated with this new device is that too many images to be inspected by naked eyes is difficult for physicians, Thus it is essential to find an automatic and intelligent diagnosis method to help physicians. In this paper, a new segmentation algorithm for detection of Lymphangiectasia, Xanthoma, Crohn, and Stenosis in WCE images is proposed. This new approach mainly uses the HSV color space, sigmoid function and canny edge detector. We compare our method with a fuzzy c-mean clustering. We show that sensitivities of the sigmoid function for Lymphangiectasia, Lymphoid hyperplasia, severe Crohn's disease, Xanthoma and ulcerated Stenosis are respectively 89.32%, 91.27%, 95.45%, 87.01%, 97% and sensitivities of the fuzzy c-means clustering with same order are 83.91%, 86.7%, 96.38%, 90.4%, 93.83%. Totally, the sigmoid function is more specific and sensitive, with same accuracy.
IRMA Code II: Unique Annotation of Medical Images for Access and Retrieval
Authors: Piesch Tim-Christian  , Müller Henning  , Kuhl Christiane K.  , Deserno Thomas M.
Published: February 2025

Content-based image retrieval (CBIR) provides novel options to access large repositories of medical images, in particular for storing, querying and reporting. This requires a revisit of nomenclatures for image classification such as DICOM, SNOMED, and RadLex. For instance, DICOM defines only about 20 concept terms for body regions, which partly overlap. This is insufficient to access the visual image characteristics. In 2002, the Image Retrieval in Medical Applications (IRMA) project proposed a mono-hierarchic, multi-axial coding scheme called IRMA Code. It was used in the Cross Language Evaluation Forum (ImageCLEF) annotation tasks. Ten years of experience have discovered several weak points. In this paper, we propose eight axes of three levels in hierarchy for (A) anatomy, (B) biological system, (C) configuration, (D) direction, (E) equipment, (F) finding, (G) generation, and (H) human maneuver as well as additional flags for age class, body side, contrast agent, ethnicity, finding certainty, gender, quality, and scanned film, which are captured in form of another axis (I). Using a tag-based notation IRMA Code II supports multiple selection coding within one axis, which is required for the new main categories.
CliniQA : Highly Reliable Clinical Question Answering System
Authors: Ni Yuan  , Zhu Huijia  , Cai Peng  , Zhang Lei  , Qui Zhaoming  , Cao Feng
Published: February 2025

Evidence-based medicine (EBM) aims to apply the best available evidences gained from scientific method to clinical decision making. From the computer science point of view, the current bottleneck of applying EBM by a decision maker (either a patient or a physician) is the time-consuming manual retrieval, appraisal, and interpretation of scientific evidences from large volume of and rapidly increasing medical research reports. Patients do not have the expertise to do it. For physicians, study has shown that they usually have insufficient time to conduct the task. CliniQA tries to shift the burden of time and expertise from the decision maker to the computer system. Given a single clinical foreground question, the CliniQA will return a highly reliable answer based on existing medical research reports. Besides this, the CliniQA will also return the analyzed information from the research report to help users appraise the medical evidences more efficiently
Inventory of Tools for Dutch Clinical Language Processing
Authors: Cornet Ronald  , Van Eldik Armand  , De Keizer Nicolette
Published: February 2025

Automated encoding of free-text clinical narratives using concepts from terminological systems is widely performed. However, the majority of natural language processing (NLP) tools and terminological systems involve the English language. As parts of the NLP process are language independent, and tools for various languages are available, an overview is needed to determine the applicability to performing NLP of Dutch medical texts. To this end an inventory of tools is created. A literature study and internet search were performed to describe available components for a Dutch NLP system, enabling to encode Dutch text as structured SNOMED CT output without the need to translate SNOMED CT in Dutch. We have found 31 papers, describing a variety of NLP frameworks and tools for the various NLP components for processing English and Dutch free text. Most of them are suitable for English free text, some of them are (also) usable for Dutch. To enable automated encoding of Dutch free text narratives, further research is needed to create a spelling checker, a negation detector, a domain-specific abbreviation/acronym list, and a concept mapper (to map Dutch terms to concepts in a terminological system). Furthermore evaluation of performance for the Dutch ‘medical’ language is needed.
Ontology-Based Computerization of Acute Coronary Syndrome Clinical Guideline for Decision Support in the Emergency Department
Authors: Omaish Mostafa  , Abidi Samina  , Abidi Syed Sibte Raza
Published: February 2025

Managing cardiac diseases in an emergency department is a challenge, as it demands rapid decision-making in a life-threating situation. This paper presents a knowledge model for clinical guideline mediated Clinical Decision Support System for Acute Coronary Syndrome (ACS), targeting the ED care setting. We take a healthcare knowledge management approach to model clinical guideline using a clinical guideline ontology that is used to computerize the clinical guideline on the management of ACS, published by the American Heart Association, as a first step toward developing a clinical decision support system suitable for emergency departments at tertiary hospitals in Saudi Arabia.
Challenges and Issues of Geolocation in Clinical Environment
Authors: Issom David-Zacharie  , Hagry Claire  , Wodia Mendo Laetitia  , Seng Henry  , Ehrler Frederic  , Lovis Christian
Published: February 2025

Reaching a good indoor geolocation without deploying extensive and expensive infrastructure is a challenge, because satellite positioning system is not available indoors. Geolocation could be of major use in healthcare facilities; to help care providers, visitors and patients to navigate, to improve movements and flows efficiency or to implement location-awareness systems. A system able to provide the location of a person in a hospital requires precision, multi-floors and obstacles management and should also perform in basements and outdoors. Such system needs also to be insensitive to environmental variations occurring in a hospital. These changes may be various kinds of obstacles. These can be the displacement of metallic objects, metallic machines, strong magnetic fields or simply human displacement. A system conforming to the above requirements can also answer various security questions, operational workflow management but also assist movement of people.
Estimating Rheumatoid Arthritis Activity with Infrared Image Analysis
Authors: Frize Monique  , Ogungbemile Abiola
Published: February 2025

This work describes the development of a new diagnostic tool to assess the severity of rheumatoid arthritis (RA) using infrared image collection and analysis. Early work showed that the temperature distribution of joints of hands and knees of patients with RA was statistically significantly different from that of normal subjects. Current work identified ankles as also significant for an assessment of RA. Moreover, the patients were classified in three levels of RA severity (High, Medium, and Low) using a C5.0 decision tree classifier with excellent results: Sensitivity (true positive cases) of 96 % and a specificity (true negative cases) of 92%. Future work will automate the image analysis and test clinically by comparing to MR as ground truth.
Towards Human-Centric Visual Access Control for Clinical Data Management
Authors: Fahl Sascha  , Harbach Marian  , Smith Matthew
Published: February 2025

We propose a novel human-centric, visual, and context-aware access control (AC) system for distributed clinical data management and health information systems. Human-centricity in this context means that medical staff should be able to configure AC rules, both in a timesaving and reliable manner. Since medical data often includes (meta-) information about a patient, it is essential that an AC system includes the patient into the AC process. To cater for the strong security needs in the medical domain, both the AC policy creation by medical staff as well as the patient-interaction feature need to be taken into account. While traditional AC systems offer sufficient security in theory, they lack in comfort and flexibility and as a result find no widespread acceptance with non tech-savvy users. Distributed medical institutions could enormously benefit from the opportunity of dynamic AC configuration at an end-user level while adhering to legal, ethical or other privacy requirements. Hence, this paper presents a human-centric visual AC model for medical data, addressing usability, information security and patient interaction.
A Real-Time Disease Surveillance Architecture Using Social Networks
Authors: Sofean Mustafa  , Smith Matthew
Published: February 2025

In this paper we proposed surveillance architecture to track diseases-related postings in social networks using Twitter. In each part of the second, the real-time architecture tracks status updates of people as they are posted as soon as possible. Data mining techniques will be used synchronically to crawl, index, extract and classify postings. This work is a part of constructing a global real-time framework for early monitoring diseases outbreaks in social networks.
Medical Device Software: A new Challenge
Authors: Luzi Daniela  , Pecoraro Fabrizio
Published: February 2025

The application of software in the medical device domain has become central to improve diagnoses and treatments. The introduction of new regulations poses issues for the qualification and classification of MD software and requires complex procedures to make them complaint with safety requirements. The paper focuses on EU, Canada and US regulations, standards and guidelines and in particular highlights the integration of the risk management process with the software lifecycle.
Assessment in Health Care Education – Modelling and Implementation of a Computer Supported Scoring Process
Authors: Alfredsson Jayne  , Plichart Patrick  , Zary Nabil
Published: February 2025

Research on computer supported scoring of assessments in health care education has mainly focused on automated scoring. Little attention has been given to how informatics can support the currently predominant human-based grading approach. This paper reports steps taken to develop a model for a computer supported scoring process that focuses on optimizing a task that was previously undertaken without computer support. The model was also implemented in the open source assessment platform TAO in order to study its benefits. Ability to score test takers anonymously, analytics on the graders reliability and a more time efficient process are example of observed benefits. A computer supported scoring will increase the quality of the assessment results.
Is it Worth Investing in Online Continuous Education for Healthcare Staff?
Authors: Mazzoleni M. Cristina  , Maugeri Chiara  , Rognoni Carla  , Cantoni Alessio  , Imbriani Marcello
Published: February 2025

Educational activities for hospital staff don't easily match with the congestive rhythm of healthcare personnel working life. Online learning could make it easier for healthcare personnel to attend courses, but there is still uncertainty about the feasibility of using distance learning to effectively meet education goals in healthcare institutions. Fondazione Salvatore Maugeri (FSM) started an online educational program, as pilot project, in October 2010. The present study hence is aimed at evaluating the impact of this initiative (in terms of extent and intensity of healthcare staff attendance; objective and subjective effectiveness) in order to take informed decisions for the future. In 15 months, 5 elearning courses have been provided to 2261 potential users of 14 FSM hospitals, in parallel with traditional education. 1099 users from all the hospital have intensively attended the courses (58% of nurses, 50% of therapists, 44%, of technicians, 25% of physicians) for a total of 27459 CME credits. Effectiveness in terms of knowledge gain is satisfactory and subjective evaluation is good (more than 95% of satisfied users). Elearning is not appropriate for all the educational needs and is not a panacea, but the reported results point out that it may be an effective and economically convenient mean to support massive educational interventions reaching results hardly attainable with traditional education. Users should be better educated about how to exploit online education at best.
Supporting Self-Regulated Training on a Web-based Community-Environment for Runners
Authors: Matsuura Kenji  , Kanenishi Kazuhide  , Moriguchi Hiroki
Published: February 2025

Running is a sort of “single” sport that can be carried out alone. Single sport is generally hard for good practice because of lack of the subjective viewpoints. Therefore, subjective view or communications with other peers help the self-training. We have developed the WEB system that supports selfregulated control of training in a community of runners. The system has the basic function to promote development of multiple types of running skills. Runners on the web can set their own running goals at beginning and the system supports the goal-achievements through the training.
Dynamic Utterance Role Restriction on CSCL
Authors: Go Kaori  , Tamura Yasuhisa
Published: February 2025

This paper proposes a function to restrict undesired utterance roles on CSCL, in order to accelerate better discussion. The authors found that CSCL discussion often falls into stagnated and distracted situation when continuing utterances have same utterance role. To avoid this situation, the proposing system monitors the utterance roles attached by learners, finds continuity of utterances with the same role, and prevents to use the target role for the next utterance upload. Result of controlled experiment shows that the proposing function works well, and learners tend to refer more preceding utterances.
Latent Informative Links Detection
Authors: Hu Liang  , Cao Jian  , Xu Guandong  , Gu Zhiping
Published: February 2025

Sometimes, explicit relationships between entities do not provide sufficient information or can be unavailable in the real world. Unseen latent relationships may be more informative than explicit relationships. Thereby, we provide a method for constructing latent informative links between entities, using their common features, where entities are regarded as vertices on a graph. First, we employ a hierarchical nonparametric model to infer shared latent features for entities. Then, we define a filter function based on information theory to extract significant features and control the density of links. Finally, a couple of stochastic interaction processes are introduced to simulate dynamics on the net-works so that link strength can be retrieved from statistics in a natural way. In experiments, we evaluate the usage of filter function. The results of two examples based on mixture networks show how our method is capable of providing latent informative relationships in comparison to explicit relationships
An optimal tactic for intelligent agents to conduct search & detection operations based on multiple look angles
Authors: Nguyen Bao U.  , Bourque François-Alex
Published: February 2025

In this paper, we provide an optimal search and detection tactic based on multiple look angles at the same target. It is assumed that the orientation of the target is uniform and the left hand side is the mirror image of the right hand side of the target. This is a multidimensional optimization problem that is generally known to be NP hard. In layman terms, it is computationally intensive to determine the optimal look angles. We make use of the principles of symmetry, elementary number theory analysis, and calculus to identify a set of critical look angles. From this set, we show that there is an optimal point which yields the maximum probability of detection. We also investigate another set of critical points and show that they are suboptimal when compared to the optimal solution. The results are simple, intuitive and easy to apply. We hope that this new tactic will modify the current protocol for conducting search and detection operations by intelligent agents.
The concept of knowledge bases supporting the IT Systems Integration Model
Authors: Orłowski Cezary  , Sitek Tomasz  , Bartosiewicz Krzysztof  , Szczygielski Łukasz
Published: February 2025

This paper presents main concepts regarding the design of a knowledge base in order to support IT systems integration. The main goal of the research is to develop a universal method of integration of various systems concerning any possible area of interest. The concept is based on creating a generic mechanism which would support the decision regarding the choice of the integration model. The most important tasks include: key factors analysis, building the integration process knowledge base and designing artificial intelligencebased decision support mechanism. The proposed solution is in an early stage of development therefore this paper is just the beginning of a series of articles. After implementation it is planned to verify the solution during the project which will be responsible for integration of various environment monitoring systems.
A Comparison Analysis of Consensus Determining Using One and Two-level Methods
Authors: Kozierkiewicz-Hetmańska Adrianna  , Thanh Nguyen Ngoc
Published: February 2025

This paper is dedicated to examine difference between one and twolevel consensuses. One-level consensus is determine based on a whole profile. To find the two-level consensus two steps have to be taken. Firstly, the whole profile is divided into k classes and for each class the consensus is determined. Next, the final consensus is appointed relying on consensuses for each class. The researches demonstrate that better solution is always given by the one-level consensus but the two-level consensus is worse in comparison to the one-level consensus by less than 1,2%.
A Cross-cultural Study on Trust and Risk Perception among Japan, China, and the United States: Focusing on Earthquakes and Nuclear Power Plant Accidents
Authors: Nara Yumiko
Published: February 2025

In this paper, the author aims to examine the relationship between the risk perceptions of laypeople and the trust toward social system among three countries, Japan, China, and the United States. The present study also intends to clarify the change of people’s attitudes toward earthquake and nuclear power plant accident before and after The Great East Japan Earthquake. The social survey was carried out in 2008 and 2012. It used questionnaires to obtain data of people: male and female, 20–69 years, in each country, using random sampling. It has been found that Japanese people fear most strongly the bad influence of life risks. Not only the Japanese but also Chinese and Americans respondents’ level of risk perception related to the nuclear power plant accident in 2012 is significantly higher than that in 2008. Furthermore the significant effect of distrust for government on risk perception was observed.
H.264/AVC-to-SVC Temporal Transcoding using Machine Learning
Authors: Garrido-Cantos Rosario  , De Cock Jan  , Luis Martínez José  , Van Leu-Ven Sebastiaan  , Cuenca Pedro  , Garrido Antonio
Published: February 2025

Nowadays, networks and terminals with diverse characteristics of bandwidth and capabilities coexist. To ensure a good quality of experience, this diverse environment demands adaptability of the video stream. In general, video contents are compressed to save storage capacity and to reduce the bandwidth required for its transmission. Therefore, if these compressed video streams were compressed using scalable video coding schemes, they would be able to adapt to those heterogeneous networks and a wide range of terminals. Since the majority of the multimedia contents are compressed using H.264/AVC, they cannot benefit from that scalability. This paper proposes a technique to convert an H.264/AVC bitstream without scalability to a scalable bitstream with temporal scalability in Main Profile by accelerating the mode decision task of the SVC encoding stage using Machine Learning tools. The results show that when our technique is applied, the complexity is reduced by 87% while maintaining coding efficiency.
Unsupervised Semantic Feature Matching in Information Retrieval using User-Oriented Ontology
Authors: Shi Lei  , Setchi Rossitza
Published: February 2025

This research proposes an unsupervised ontology based feature matching approach to address the semantic gap problem in information retrieval. The approach involves natural language processing, semantic feature extraction and selection using a light weight user-oriented ontology. The approach comprises four stages: (1) user-oriented ontology building, (2) semantic feature extraction for building vectors representing information objects, (3) semantic feature matching using the user-oriented ontology, and (4) measuring the similarity between the information objects. The evaluation conducted shows that the ontology based approach consistently outperforms the term-based retrieval approach.
Conceptual Indexing Documents in IR based on Ontology Enrichment
Authors: Ben Ghezaiel Lamia  , Latiri Chiraz  , Ben Ahmed Mohamed
Published: February 2025

In this paper, we propose a conceptual indexing documents approach based on an enriched ontology. We used a minimal generic basis of association rules (ARs) between terms, in order to automatically enrich an existing domain ontology. The final result is a proxemic conceptual network which contains additional implicit knowledge. Therefore, to evaluate our ontology enrichment approach, we propose a document indexing approach in IR based on this proxemic network. The experiments carried out on the OHSUMED document collection of the TREC 9 filtring track and MeSH ontology, showed that our conceptual indexing approach could considerably enhance information retrieval effectiveness.
Controlling multimicroprocessor memory competition and noise
Authors: Toraguchi Katsunao  , Kenmochi Yuta  , Yamada Kunihiro
Published: February 2025

The configuration we devised acts against memory competition and noise malfunctions in a multimicroprocessor having common data memory.The multimicroprocessor shares data the same as a single microprocessor, and multiple microprocessors execute programs simultaneously. This interprets one of the significant developments in microprocessor technologies.
Estimation of the demand function and calculation of optimal prices taking externalities into consideration
Authors: Kinjo Keita  , Ebina Takeshi
Published: February 2025

The purpose of this study is to investigate the effects of consumption externalities with macro reference groups on firms’ optimal prices and profits. Our analysis consists of the following three steps: First, using a conjoint analysis data, we construct a hierarchical Bayesian model and derive an individual utility function. Second, we estimate the demand functions when the externalities are present or not. Last, we calculate the profit functions and derive the optimal prices with and without externalities. Applying our method to the book market of Japan, it is found that the optimal price is lower when externality is present than when absent. This is why pricing low and selling a large number of books from an early stage increase the externality effect, yielding the higher profit.
Hyperspectral Image Segmentation by t-Watershed and Hyperspherical Coordinates
Authors: Moreno Ramón  , d'Anjou Alicia
Published: February 2025

This work presents a segmentation method based in a tuned version of watershed transform. It is based on a chromatic gradient that is made through Hyperspherical Coordinates. It avoids the natural oversegmentation induced by the standard watershed and it overcomes shadows and shines in order to elude false edges.
Semantically Enhanced Text Stemmer (SETS) for Document Clustering
Authors: Stankov Ivan  , Todorov Diman  , Setchi Rossitza
Published: February 2025

The aim of document clustering is to produce coherent clusters of similar documents. Although most document clustering algorithms perform well in specific knowledge domains, processing cross-domain document repositories is still a challenge. This difficulty can be attributed to word ambiguity and explained by the observation that monosemic words are more domainoriented than polysemic ones. Document clustering algorithms normally employ text normalization techniques, such as the Porter stemming algorithm. This paper describes a semantically enhanced text normalization algorithm developed for the purpose of improved document clustering. Corpus consistency achieved by the proposed algorithm is compared with the consistency produced by the Porter stemmer. The experimental evidence shows that semantic disambiguation improves clustering performance compared to traditional normalization methods.
Automatic Scoring of Shooting Targets with Tournament Precision
Authors: Rudzinski Jacek  , Luckner Marcin
Published: February 2025

This paper describes a computer vision based automatic scoring system of shooting targets. The system estimates scoring with a professional tournament precision, but is dedicated to amateur shooters and can work with photos taken by amateur cameras and mobile devices. The automatic scoring issue is divided into three problems: a target detection, a holes detection, and a hole analysis. The target is detected on the base of a bull–eye localization. The holes detection bases on the Hough transformation. The holes analysis localizes a position of hole’s center. The position relative to detected scoring sections is a base for scoring. The proposed algorithm detects holes with 99 percent accuracy. An elimination of false positives results reduces the level of accepted holes to 92 percents. The average error for the automatic score estimation is 0.05 points. The estimation error for over 91 percent holes is lesser than a tournament–scoring threshold.
Using OWL ontology for reasoning about schema mappings in data exchange systems
Authors: Pankowski Tadeusz
Published: February 2025

We discuss the problem of creating a knowledge base representing a relational database exchange system and reasoning about schema mappings in such scenario. The knowledge base is developed by describing both databases and mappings in the data exchange system by means of OWL ontology. The key issue is to decide about preservation of semantics of data while the data are being transformed. Then some reasoning about consistency of schema mappings with integrity constraints of databases and with application domain knowledge is necessary.
An Algorithm for Tolerance Value Generator in Tolerance Rough Sets Model
Authors: Virginia Gloria  , Son Nguyen Hung
Published: February 2025

The Tolerance Rough Sets Model (TRSM) is a tool to model document in text mining. Generation of a document representation based on TRSM basically depends on tolerance classes of terms which are created by setting up a tolerance value. Despite the fact that tolerance value is critical in TRSM, the manual process of setting this value is an exhaustive task. We conducted a study on our own corpus and were supported by two human experts when constructing the training data. We came up with a novel algorithm to generate tolerance value automatically from a set of training data. The heart of our algorithm is measuring the distance between document representation calculated using TFIDF weighting scheme and document representation yielded by TRSM both in reduced dimensional space generated by Singular Value Decomposition (SVD). In spite of the result, we recognize that further study is significant, i.e. to set up some properties (the size of training data and rank of SVD) as well as evaluating the algorithm in real data and scenario.
Croatian Language N-Gram System
Authors: Dembitz Šandor  , Blašković Bruno  , Gledec Gordan
Published: February 2025

Large-scale n-gram models are available for a small number of languages. So far, Croatian was not one of them. The research presented in this paper describes the development of n-gram database system suitable for large-scale language modeling in Croatian. The process of n-gram collection relies on Croatian academic online spellchecker Hascheck, which has been publicly available since 1993, and is today a popular language service, with average daily traffic exceeding million tokens. The approach demonstrated in this paper eliminated the need of n-gram data cleaning in the post-processing phase, which is a serious issue in other languages. The spellchecker dynamics allowed Heaps’ law modeling to be applied to Croatian n-grams, which enabled the prediction of n-gram count growth.
Intelligent Monitoring and Activity Interpretation Framework – INT
Authors: Carlos Castillo José  , Fernández-Caballero Antonio  , Serrano-Cuerda Juan  , Sokolova Marina V.
Published: February 2025

The INT3-Horus framework, dedicated to intelligent monitoring and activity interpretation with special application in advanced surveillance systems, is introduced. INT3-Horus is presented in two parts. This paper introduces the first part which is dedicated to provide a general description of the approach. The following aspects of the proposal are highlighted: the framework is multisensory by nature and includes information fusion abilities; it is based on the model–view–controller paradigm; it is defined as a hybrid distributed system; it incorporates a Common Model that houses the data structures to support the exchange of information between levels of the framework. The currently available INT3-Horus processing levels are also described in this paper. The second part introduces the ontological model of the framework [14].
Some Foundations for Probabilistic Abstract Argumentation
Authors: Hunter Anthony
Published: February 2025

Recently, there has been a proposal by Dung and Thang and by Li et al to extend abstract argumentation to take uncertainty of arguments into account by assigning a probability value to each argument, and then use this assignment to determine the probability that a set of arguments is an extension. In this paper, we explore some of the assumptions behind the definitions, and some of the resulting properties, of the proposal for probabilistic argument graphs.
The Equational Approach to CF2 Semantics
Authors: Gabbay Dov M.
Published: February 2025

We introduce a family of new equational semantics for argumentation networks which can handle odd and even loops in a uniform manner. We offer equational semantics which is equivalent to CF2 semantics, and a better version which gives the same results as traditional Dung semantics for even loops but can still handle odd loops.
An Inquiry Learning Environment for Scientific Argumentatio
Authors: Green Nancy L.
Published: February 2025

The goal of this research is to develop technology to help students learn how to argue cogently on scientific questions. We are currently developing the Genetics Argumentation Inquiry Learning (GAIL) system, which will engage in two-party argumentation on cases in clinical genetics. Use of a computational model of argumentation will enable GAIL to analyze, evaluate, and challenge learner's arguments.
Valued-Based Argumentation for Tree-like Value Graphs
Authors: Kim Eun Jung  , Ordyniak Sebastian
Published: February 2025

We consider value-based argumentation frameworks (VAFs) introduced byBench-Capon(J.LogicComput.13,2003), which has been established as a fruitful model to study abstract argumentation systems. It takes into account the relative importance among arguments which reflects the value system of an audience. The central issue in the study of VAFs is the decision problems of subjective acceptance and objective acceptance: an argument is subjectively (objectively, resp.) accepted if it is accepted with respect to one audience (all possible audiences, resp.) An important limitation for using VAFs in real-world applications is the computational intractability of the acceptance problems. We identify nontrivial classes in terms of structural restrictions on the underlying graph structure of VAFs and present a polynomial-time algorithm in the spirit of dynamic programming. We supplement the tractability by the hardness result. This extends and generalize the results of Dunne (COMMA 2010) and Kim et al. (Artificial Intelligence 175, 2011).
Towards Argument-based Foundation for Sceptical and Credulous Dialogue Games
Authors: Thang P.M.  , Dung P.M.  , Hung N.D.
Published: February 2025

We propose an argument-based foundation for dialogue games capable of modelling protocols for exchange of arguments in dialogues to prove or disprove propositions. We introduce structure into dialogue states by modelling them as dialogue trees coupled with appropriate annotation mechanisms. We model dialogue locutions as transformations between dialogue states. Viewing dialogues as proofs, we study conditions for them to be sound under the grounded semantics and the credulous semantics in argumentation. Thank to annotation mechanisms, we could handle backtracking of proponent in dialogue games.
Semi-Automated Argumentative Analysis of Online Product Reviews
Authors: Wyner Adam  , Schneider Jodi  , Atkinson Katie  , Bench-Capon Trevor
Published: February 2025

Argumentation is key to understanding and evaluating many texts. The arguments in the texts must be identified; using current tools, this requires substantial work from human analysts. With a rule-based tool for semi-automatic text analysis support, we facilitate argument identification. The tool highlights potential argumentative sections of a text according to terms indicative of arguments (e.g. ‘suppose’ or ‘therefore’) and domain terminology (e.g. camera names and properties). The information can be used by an analyst to instantiate argumentation schemes and build arguments for and against a proposal. The resulting argumentation framework can then be passed to argument evaluation tools.
Picking the Right Expert to Make a Debate Uncontroversial
Authors: Kontarinis Dionysios  , Bonzon Elise  , Maudet Nicolas  , Moraitis Pavlos
Published: February 2025

Agents contributing to (online) debate systems often have different areas of expertise. This must be considered if we want to define a decision making process based on the output of such a system. Distinguishing agents on the basis of their areas of expertise also opens an interesting perspective: when a debate is deemed “controversial”, calling an additional expert may be a natural way to make the decision easier. We introduce possible definitions that capture these notions and we provide a preliminary analysis with the objective to help a designer find the “right” expert.
Development of a Maintenance Decision Model to Optimize for Technical Reliability – A component based approach
Authors: Pyfferoen W.  , Ghobbar A.A.  , Visser H.G.  , Kerkhof T.M.
Published: February 2025

The impact of unscheduled removals of components on an airline's operational availability is a known and recurrent problem. This paper describes the development of a generic model that forms a prognostic decision tool, which generates a component-based optimization for an airline's maintenance program. The suggested solutions range from assessing the quality of repairs (e.g. No Fault Found), to the development of a new specific maintenance action. The model's goal is to provide enhancement possibilities at an operational/financial level without endangering the airworthiness or safety of the aircraft. The optimization is designed in cooperation with a regional airline, VLM Airlines N.V., resulting in a practical approach to the problem.
Upgrading a multi-mission research aircraft
Authors: in't Veld Alexander C.  , Karwal Arun K.
Published: February 2025

National Aerospace Laboratory NLR and Delft University of Technology, Faculty of Aerospace Engineering together operate a special aircraft for research purposes. Unlike other Special Purpose Aircraft, PH-LAB is truly a multi-mission aircraft, engaged in a wide variety of R&D in-flight research projects and often specially modified for each project. For this aircraft a significant upgrade of the aircraft avionics and data acquisition suite was designed, certified and implemented.
Mindfulness Training Online For Stress Reduction, A Global Measure
Authors: Quintana Miguel  , Rivera Oswaldo
Published: February 2025

According to the World Health Organization (WHO), stress-related chronic diseases are the main source of death in developed countries. During the last decade, e-mental health, telepsychology or telepsychiatry interventions are showing its growing potential due to the gradual global adoption of the internet and mobile phone technologies. A significant number of studies have concluded that mindfulness helps to reduce physical and psychological symptoms of stress related to various health concerns and that it is a psychological skill that can be trained. The purpose of this online research study is to gather the participants' socio-demographics as well as stress and mindfulness data during an online mindfulness training program. Sustained attention and the state of mindfulness experienced in single meditation sessions are also tracked and stored.
Modeling and Programming with Roles: Introducing JavaStage
Authors: Barbosa Fernando Sérgio  , Aguiar Ademar
Published: February 2025

Roles are not a new concept, but they have been used in two different ways: as modeling concepts in a static view and as instance extensions in a dynamic view. For these views only the dynamic offers supporting languages. The static view, although proving the utility of roles in modeling, does not offer a programming language that allows developers to use roles all the way from modeling to programming. We try to overcome this by presenting our role language JavaStage, based on the Java language. We do this by designing and implementing a simple framework and then compare the results with its OO equivalent. Our results show that static roles are in fact useful when used in code and that JavaStage features expand role reuse.