bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of Alum Dosage in Water Supply by WEKA Data Mining Software
Authors: Chawakitchareon Petchporn  , Boonnao Nattanan  , Charutragulchai Pakorn
Published: February 2025

Artificial neural network is a common method which has been used in many works. This paper presents a comparison of prediction methods for alum dosage using in water supply treatment process. In this research, we compared results from M5P, M5Rules and REPTree to the results from multilayer perceptron, one type of artificial neural network. Six input variables, i.e. turbidity, alkalinity, pH, conductivity, color and suspended solids relating to reaction of coagulation were used. The data in this research had been collected from Bangkhen Branch Office of Metropolitan Waterworks Authority, Thailand from 1 January 2006 – 31 July 2015. Our experimental results showed that the M5Rules method yielded the highest accuracy to predict Alum dosage comparing to other methods run in this study. For M5P and M5Rules, building model by using smoothing procedure and unpruned technique appears to give out the best model to predict with the highest accuracy.
PMDA-Schemed EM Channel Estimator for OFDM Systems
Authors: Li Xiao-Fei  , He Di  , Chen Xiao-Hua
Published: February 2025

Channel estimation is a challenging problem in an Orthogonal frequency division multiplexing (OFDM) system, where is met with frequency-selective Rayleigh fading. The Poor man's Data Augmentation (PMDA) estimator is proposed to efficiently estimate the channel impulse response (CIR) making use of multipath fading channels with additive white Gaussian noise (AWGN). A modest number of pilot tones is used to efficiently improve the channel estimation by the use of the PMDA estimator to obtain the initial estimation for the iterative procedure. Using Cramer-Rao-like-lower (CRLB) estimator as the unbiased channel estimation criterion, simulation results illustrate that the bit error rate (BER) performance and the mean square error (MSE) performance estimated by the PMDA algorithm are better than those used by the EM estimator and reveals that the convergence of PMDA estimator is faster than the EM estimators.
Cloud Adaptive Parallel Simulated Annealing Genetic Algorithm in the Application of Personnel Scheduling in National Geographic Conditions Monitoring
Authors: Du Juan  , Zhou Xu  , Tao Shu  , Liu Qian
Published: February 2025

Taking the irrationality of staff scheduling in China Geography Census (CGC) into consideration, this paper establishes a personnel optimization scheduling model. It is based on some assumptions according to characteristics in CGC's (or National Geographic Conditions Monitoring) production process. As optimal dispatch of personnel involves in large-scale, high dimension and nonlinear problems, the standard genetic algorithm (SGA) has drawbacks of premature and slow convergence, as well as poor local optimization ability. So this paper adopts cloud adaptive parallel simulated annealing genetic algorithm (PCASAGA), which integrates adaptiveness, cloud reasoning with simulated annealing mechanism to improve SGA's performance. And also parallel computing function is introduced. To Take Shandong Remote Sensing Technology Application Center as an example, it shows that PCASAGA is superior to SGA in convergence speed and optimization ability. It also proofs that homogeneous and heterogeneous situations have not only distinction but also connection as influence factors increase, such as number of return to modify (n), quality sampling rate (s) and error rate (e). The distinction is changes of structure's proportion, the former case shows flat or falling trends, and the latter one has no unified state. On another side, the connection is the increased optimal completion time. The findings have guiding significance for staff optimization in National Geographic Conditions Monitoring in aspects of engineering plan, cost calculation and so on.
Building a Corpus of Multi-Lingual and Multi-Format International Investment Agreements
Authors: Sugisaki Kyoko  , Volk Martin  , Polanco Rodrigo  , Alschner Wolfgang  , Skougarevskiy Dmitriy
Published: February 2025

In this paper, we present an on-going research project whose aim is to develop a new database of international investment agreements that complements existing endeavors. In particular, this paper describes our efforts to build a standardized corpus of multi-lingual and multi-format agreement texts in order to enable researchers in the fields of international law and economics systematically investigate investment treaties.
Identification of Case Content with Quantitative Network Analysis: An Example from the ECtHR
Authors: Christensen Martin Lolle  , Olsen Henrik Palmer  , Tarissan Fabien
Published: February 2025

What is a case decided by the European Court of Human Rights about? The Courts own case database, HUDOC, lists all the articles mentioned in a specific case in their metadata. They also supply a number of keywords, but these keywords for the most part are reduced to repeating phrases from the relevant articles. In order to enhance information retrieval about case content, without relying on manual labor and subjective judgment, we propose in this paper a quantitative method that gives a better indication of case content in terms of which articles a given case is more closely associated with. To do so, we rely on the network structure induced by existing case-to-case and case-to-article citations and propose two computational approaches (referred to as MAININ and MAINOUT) which result in assigning one representative article to each case. We validate the approach by selecting a sample of important cases and comparing manual investigation of real content of those cases with the MAININ and MAINOUT articles. Results show that MAININ in particular is able to infer correctly the real content in most of the cases.
Grey Literature Publishing in Public Policy: Production and Management, Costs and Benefits
Authors: Lawrence Amanda
Published: February 2025

Public policy and practice, and policy research, relies on diverse forms and types of information and communication, both traditional publications and a myriad of other documents and resources including reports, briefings, legislation, discussion papers, submissions and evaluations and much more. This is sometimes referred to as ‘grey literature’, a collective term for the wide range of publications produced and published directly by organisations, either in print or digitally, outside of the commercial or scholarly publishing industry. In the digital era grey literature has proliferated, and has become a key tool in influencing public debate and in providing an evidence-base for public policy and practice. Despite its ubiquity and influence, grey literature's role is often overlooked as a publishing phenomenon, ignored both in scholarly research on media and communications and in the debate on the changing nature of open access and academic publishing. This paper looks at the production of grey literature for public policy and practice where the changes enabled by computers and the internet are causing a hidden revolution in the dissemination of knowledge and evidence. It explores the production, dissemination and management of publications by organizations, their nature, purpose and value, and investigates the benefits and the challenges of publishing outside of the commercial or scholarly publishing enterprises. The paper provides estimates of the economic value of grey literature based on online surveys and valuations and considers the costs and benefits of self-publishing by organisations which provides both a dynamic, flexible and responsive publishing system and one in which link rot, duplication and highly varying standards abound. The findings are part of a broader research project looking at role and value of grey literature for policy and practice including consumption, production and collection. It will be of interest to a wide range of policy makers and practitioners as well as academics working in media and communications, public administration and library and information management.
Mobile-Bayesian Diagnostic System for Childhood Infectious Diseases
Authors: Iheme Precious  , Omoregbe Nicholas  , Misra Sanjay  , Adeloye Davies  , Adewumi Adewole
Published: February 2025

About 5.9 million children under the age of 5 died in 2015, Preterm birth, delivery complications and infections source a great number of neonatal deaths. the Sustainable Development goals (SDGs) 3.2 is to end preventable deaths of newborns and children under 5 years of age, with a target to reduce neonatal mortality to at least 12 per 1,000 live births and under-5 mortality to at least as low as 25 per 1,000 live births in all countries. However quality and accessible healthcare service is essential to achieve this goal whereas most undeveloped and developing countries still have poor access to quality healthcare. with the emergences on mobile computing and telemedicine, this work provide diagnostics alternative for childhood infectious diseases using Naïve Bayesian classier which has been proven to be efficient in handling uncertainty as regards learning of incomplete data. In this research, sample data was collected from hospitals to model a pediatric system using Naïve Bayes classifier, which produce a 70% accuracy level suitable for a decision support system. The model was also integrated into a SMS platform to enable ease of usage.
Design and Implementation of a Clinical Pharmacy Management and Electronic Prescription System
Authors: Samuel Victoria  , Adewumi Adewole  , Chuma-Ibe Kosisochi  , Misra Sanjay  , Omoregbe Nicholas
Published: February 2025

A pharmacy is viewed as a physical store contained either in a hospital or as a small venture primarily saddled with the responsibility of dispensing medication to various individuals. While various individuals choose voluntarily to bypass the need for professional medical advice in the area of drug prescription by engaging in self-medication, either as a result of lack of funds or ignorance of what should be done, quality pharmaceutical services could mean the difference between life and death. Problems such as handwriting misinterpretation, cost incurred from frequent calls from pharmacists to physicians, data inconsistency and long waiting lines exist in traditional, manual pharmacy management methods. The goal of this paper therefore is to review the traditional approach to pharmacy management and prescription handling with the view of developing an electronic version. The solution was implemented using the Java programming language due to its platform independence and object-oriented nature. The proposed system addresses the aforementioned problems.
Ontology for an Information System of a Company in the Power Utility
Authors: Flores Ma. Susana  , Torrero Claudia  , Torrero Everardo
Published: February 2025

Over the years, the power utility relies on a countless number of computer applications to manage their assets, perform calculations of network status, retrieve topological data, store energy exchange data, among others; adding, the fact, that there are new players in the energy market. This has generated the use of different applications in order to share information, either in the same company or outside of it. The construction of an ontology for the energy balance system for the electrical industry is presented as a first step towards achieving reliable communication using global web standards and global standards of the electrical industry. This will allow, in the future, an exchange and consolidation of data of this application using standards of the Semantic Web.
Cloud-Based Security Driven Human Resource Management System
Authors: Odun-Ayo Isaac  , Misra Sanjay  , Omoregbe Nicholas  , Onibere Emmanuel  , Bulama Yusuf  , Damasevičius Robertast
Published: February 2025

With the emergence of cloud computing, it has become easy to store large volumes of data in the cloud to enhance Human Resource Management (HRM), based on the elasticity and scalability that cloud computing offers. This paper proposes the OnibereOdunayoSecurity-4 (OOS-4) security model for Human Resource Information System (HRIS) deployed on a cloud platform. The OOS-4 framework is a holistic and integrated model that is expected to allow for better interrelatedness of the various components of a HRM organization with adequate consideration for security. Furthermore, utilizing the Platform as a Service (PaaS) cloud computing architecture, the model was implemented using the Google App Engine. The result is a scalable application in which the data in storage is encrypted and visible on the Google Cloud Platform data store. The application is secured by proving encryption for data in storage on the Google Cloud Platform. The application will enhance HRM.
Container Terminal Operation System in Emission Control Area Using Modelling Based on Multi Agents
Authors: Hou Jue
Published: February 2025

Improving operation efficiency of container terminal, is important for terminal operators. Meanwhile, the air pollution problem is increasingly serious in container terminal, with the establishment of the Emission Control Areas (ECAs) of China in 2015, environmental protection pressure is increasing to terminal operators. In order to comply with the ECA regulation, optimizing the operation efficiency, reducing air pollution emissions, which, is an urgent problem to terminal management in China. This paper based on the characteristic of Container Terminal Operation System (CTOS), including berth allocation problem, truck dispatching problem, and yard allocation problem, establishes the architecture of CTOS based on the Multi Agents System. A model and simulation on a port container terminal is built on the JADE platform to support the decision-making of container terminal, which can reduce air pollution emissions in port, and maintain service levels. CTOS allows the container terminal operator to be more flexible in their decision to meet the ECA regulation.
Flower Pollination Freeman Chain Code (FP-FCC) Extraction Algorithm for Handwritten Character Recognition
Authors: Mohamad Muhammad Arif  , Haron Habibollah  , Hassan Haswadi
Published: February 2025

In Handwritten Character Recognition (HCR), interest in feature extraction has been on the increase with the abundance of algorithms derived to increase the accuracy of classification. In this paper, a metaheuristic approach for feature extraction technique in HCR based on Flower Pollination Algorithm (FPA) was proposed. Freeman Chain Code (FCC) was used as data representation. However, the FCC representation is dependent on the route length and branch of the character node. To solve this problem, the metaheuristic approach via FPA was proposed to find the shortest route length and minimum computational time for HCR. At the end, comparison of the result with the previous metaheuristic approaches namely Harmony Search Algorithm (HSA) was performed.
Driving Engineering Model Generation on Functional and Logical Levels
Authors: Horváth László  , Rudas Imre J.
Published: February 2025

Concept model is needed to represent multidisciplinary product system in recent advanced industrial product engineering. This paper is novel methodological contribution to intelligent driving of functional and logical components in system concept model of industrial product. Enhanced representation and handling of objects in requirements, functional, logical, and physical (RFLP) structured engineering model is introduced. The IEEE standardized RFLP structure integrates systems engineering (SE) methodology with physical level product modeling. The proposed method relies upon driving entities in RFLP enabled engineering model using intelligent content representation. It supposes application of configuration and extension purposed user software development capabilities within the functionality of host engineering system at implementation. Research for the proposed driving method utilized former own research results in product model related issues such as integration, high level abstraction, intelligent content definition, and human intent representation. Method is suitable for industrial, concept, or experimental product. In this paper, main elements of the contribution are structure of driving content in the background of RFLP structure represented product information, communication of content at model object driving, and means for connection between parameters of elements in the proposed model extension and in the functional and logical components of RFLP structured product model. More issues in this paper are about connection between virtual and cyber-physical product environments and application of knowledge from organized intellectual property (IP) sources at content background.
A Genetic Algorithm for Surgery Scheduling Optimization in a Mexican Public Hospital
Authors: Rivera Gilberto  , Rodas-Osollo Jorge  , Bañuelos Pedro  , Quiroz Marcela  , Lopez Mario
Published: February 2025

A good management of operating rooms is an important concern for hospitals. Being aware of that fact, the public hospital “Hospital General de Cd. Juárez” has specially announced it as a priority objective to reach. After analyzing the scheduling process at that hospital, we proposed to the hospital Administration to apply a genetic algorithm to schedule its surgical procedures. Our implementation is ad-hoc, satisfying the particular needs of that institution. To validate our proposal, we considered the current institutional heuristic for scheduling by the hospital personnel. The experimental results give evidence in favor of the several benefits obtained by this kind of heuristic.
On a Graded Modal Logic Approach to Reason with Fuzzy Preferences
Authors: Esteva Francesc  , Godo Lluis  , Vidal Amanda
Published: February 2025

In this paper we first consider the problem of extending a fuzzy preference relation on a set, represented by a fuzzy preorder, to a fuzzy preference relation on subsets, and we characterise different possibilities. Based on their properties, we then semantically define and axiomatize a two-tiered graded modal logic to reason about a notion of fuzzy preferences.
Picture Fuzzy Filters of Pseudo-BCI Algebras
Authors: Zhang Xiaohong  , Bo Chunxin  , Park Choonkil
Published: February 2025

The notion of picture fuzzy set is introduced by B. C. Cuong, which is a common extension of fuzzy set and intuitionistic fuzzy set. The notion of pseudo-BCI algebra is introduced by W. A. Dudek and Y. B. Jun, it is a kind of non-classical logic algebra and close connection with various non-commutative fuzzy logic algebras. In this paper, picture fuzzy theory is applied to pseudo-BCI algebras. The new concepts of picture fuzzy filter and anti-grouped picture fuzzy filter in pseudo-BCI algebras are proposed, and their characterizations are presented. Moreover, the relationships between fuzzy filters and picture fuzzy filters are discussed.
Analytical Visualization Functions of 5D World Map System for Multi-Dimensional Sensing Data
Authors: Sasaki Shiori  , Kiyoki Yasushi
Published: February 2025

This paper presents a new analysis method and the functions for multi-dimensional sensing data, including multi-parameter sensor data and series of sensing images, for a collaborative knowledge creation system called 5D World Map System, and the applications in the field of multidisciplinary environmental researches. The main feature of 5D World Map System is to provide a platform of collaborative work for users to perform a global analysis for sensing data in a physical space along with the related multimedia data in a cyber space, on a single view of time-series maps based on the spatiotemporal and semantic correlation calculations. The concrete target data of the proposed new method and functions for world-wide evaluation is (1) multi-parameter sensor data such as water-quality, air-quality, soil-quality etc., and (2) multispectral and natural-color image data taken by moving cameras such as UAV/car-mounted cameras or mobile phones for environmental monitoring. The proposed world-wide evaluation functions enable multiple remote-users to acquire real-time sensing data from multiple sites around the world, perform analytical visualizations of the acquired sensing data by a selected world environmental standard to discover the incidental phenomena, and provide the analysed results to related users' terminal equipment automatically. These new functions realize a new multidimensional data analysis and knowledge sharing for a collaborative environment. Especially, in the world-wide evaluation function, applying the concept of “semantic computing” to determining the environmental-quality levels of multiple places around the world. The results are able to be analysed by the time-series difference of the value of each place, the differences between the values of multiple places in a focused area, and the time-series differences between the values of multiple places, and calculated as a “world ranking”, to detect and predict an environmental irregularity and incident. In our world-wide evaluation method, we define the environmental impacts as “semantics” of environmental condition. The originality of our method is in (1) an interpreter to convert the numerical environmental quality-level to the qualitative impacts/meanings by the sentence or a set of words that even non-specialists or ordinary people are able to understand, and (2) a visualizer to realize a global comparison and “world-ranking” with a semantic computing for targeting the multi-parameter sensing values of multiple sites around the world.
Utilizing Vector Space Models for Identifying Legal Factors from Text
Authors: Falakmasir Mohammad H.  , Ashley Kevin D.
Published: February 2025

Vector Space Models (VSMs) represent documents as points in a vector space derived from term frequencies in the corpus. This level of abstraction provides a flexible way to represent complex semantic concepts through vectors, matrices, and higher-order tensors. In this paper we utilize a number of VSMs on a corpus of judicial decisions in order to classify cases in terms of legal factors, stereotypical fact patterns that tend to strengthen or weaken a side's argument in a legal claim. We apply different VSMs to a corpus of trade secret misappropriation cases and compare their classification results. The experiment shows that simple binary VSMs work better than previously reported techniques but that more complex VSMs including dimensionality reduction techniques do not improve performance.
Computations of Roll Motion in Waves Using a Fully Nonlinear Potential Flow Method
Authors: Coslovich Francesco  , Contento Giorgio  , Kjellberg Martin  , Janson Carl-Erik
Published: February 2025

Optimization of modern hulls when moving in a seaway puts new demands on the computational methods used. Nonlinear effects become important for wave loads and added resistance in waves in presence of large motions. The purpose of this paper is to present a method which aims to fill the gap between RANSE methods and partly nonlinear panel methods. The method solves the fully nonlinear free surface time-domain potential flow problem including a hull undergoing rigid body motions. Nonlinearities under the hypothesis of potential flow are taken into account, i.e. higher and lower frequency components, hull shape above calm water line and interaction between incoming, radiated, diffracted, reflected and ship generated waves. The potential flow method alone cannot handle roll motion since roll is dominated by viscous effects. Two methods to include roll damping within the potential flow code are used: the first one obtains roll damping coefficients through inertial and geometric characteristics of the ship. The second one uses model test results. Numerical results using both methods are compared. The code has already been tested in head seas. In this paper, numerical simulations of roll decay and roll motion in beam sea are compared to model test results.
A Mixed AC/DC Low Voltage Electrical Distribution Architecture for Increasing the Payload on Ships
Authors: Di Piazza Maria Carmela  , Luna Massimiliano  , La Tona Giuseppe  , Accetta Angelo  , Pucci Marcello  , Pietra Andrea
Published: February 2025

This paper presents the development of a novel architecture for the low voltage (LV) electrical distribution on board using a mixed AC/DC approach. The design of the proposed solution is based on a real-world case study, i.e., an electrical distribution grid within a main vertical zone (MVZ) of a large cruise ship. The new electrical architecture is designed with the aim of obtaining a gradual transition toward a totally DC electrical distribution grid on-board. Furthermore, according to the selected technical criteria, the proposed scheme can be implemented on a real ship by using devices either available in the market or easily adaptable from commercial items. The impact of the proposed electrical design on technical volumes and weights of the electrical equipment is evaluated in comparison with the existing solution. Such a comparison shows that the proposed scheme allows a reduction of electrical plant components' weight and volume of about 30%.
Towards a New Toll Calculation Method for Transiting the Suez Canal – Bulk Carriers
Authors: Abdel Naby Maged  , Ali Mayar
Published: February 2025

The Suez Canal is an artificial sea-level waterway connecting the Mediterranean Sea and the Red Sea through Egypt. Tolls paid by the vessels passing through the Canal represent an important source of income for the Egyptian Economy. The current philosophy of SC tolls is based on calculating the tolls as a percent of the vessels' Suez Canal Net Tonnage. The current research recommends making use of the recent international regulations enforced, particularly the Energy Efficiency Design Index (EEDI), and the timely published international indices for the charter rates and bunker prices for calculating the SC tolls on a case by case basis to respond to the market fluctuations, maximize SC income, and increase potential customers. Bulk Carriers are taken as a case study to compare between the enforced tolls philosophy and the savings calculated using the suggested method, and to study the relevant importance and sensitivity of the parameters used in the calculations in order to reach a base for developing a new toll policy.
Numerical Predictions of a Model Scale Propeller in Uniform and Oblique Flow
Authors: Morgut Mitja  , Jošt Dragica  , Škerlavaj Aljaž  , Nobile Enrico  , Contento Giorgio  , Pigazzini Riccardo  , Puzzer Thomas  , Martini Simone
Published: February 2025

The numerical predictions of a model scale propeller working in uniform and oblique flow are presented. Both non-cavitating and cavitating flow conditions are numerically investigated using homogeneous (mixture) model. Two previously calibrated mass transfer models are alternatively used to model the mass transfer rate due to cavitation. The turbulence effect is modelled using the Reynolds Averaged Navier Stokes (RANS) approach. The simulations are performed using an open source solver. The numerical results are compared with the available experimental data. For a quantitative comparison the propeller thrust is considered, while for a qualitative comparison, snapshots of cavitation patterns are shown. From the overall results it seems that, with the current simulation approach it is possible to predict with a reasonable accuracy the propeller performances. Nevertheless, for detailed reproduction of complex cavitation phenomena, such as bubble cavitation for instance, a more sophisticated modelling approach is probably required.
Gain in Fuel Consumption with Frictional Resistance Reduction by Air-Bubbling Technique
Authors: Ravina Enrico  , Guidomei Sofia
Published: February 2025

The paper refers on a research activity developed at DREAMS Lab of the University of Genoa (Italy), focused on experimental application of air-bubbling technique on a hull model. With this method the injection of compressed air on the bottom of the model generates air bubbles modifying the boundary layer; measurements are implemented in towing tank. The hull model has got a large flat bottom that is particularly suitable to this application and a customized pneumatic circuit assembled to allow the injection of compressed air. The design of the pneumatic unit is made to perform tests in different operating conditions with a flexible distribution of air in different areas of the hull. Seven different operating conditions at three different levels of speed was measured at the towing tank with the goal to estimate the changes in local frictional drag at different levels of flow rate and pressure of injected air in different areas of the bottom. In particular the most favourable combination can reach a frictional resistance reduction about of 13%.This hull equipped with pneumatic circuit can be used in future to arrange new systematic experiments oriented to optimize the gain related to air bubbling technology.
On the Deck Structural Layout of Megayacht
Authors: Vergassola Gianmarco  , Boote Dario  , Pais Tatiana  , Ricci Lisa
Published: February 2025

The growing increase in length of super and megayachts has driven structural designer to adopt longitudinal layouts as a main point in the structural scantlings. By the way, the optimization of weights, strength, deformations and dynamic behaviour has to be assessed one off for each new units because of peculiar and unique characteristics of each vessel. For this assessment, in particular considering the dynamic behaviour of ribbed plates, the use of numerical software based on the Finite Element (FE) Methods is largely used up to the early design stages in order to highlights benefit and weakness of a particular structural design. In this paper, two different structural layout for a superyacht deck have been studied and tested by using a FE software: the first one has been created with longitudinal and transversal stiffeners with the same cross section. In the second layout, transversal stiffeners are smaller in dimension but with lower span. The comparison has been made in terms of maximum strength, deformation and dynamic behaviour.
Modular Platforms for Early Production / Full Field Applications
Authors: Busetto Mirco  , Zennaro Marco  , Rimoldi Andrea  , Palumbo Carmine
Published: February 2025

Previous works have shown that the use of floating modular platforms (FMP) can represent a valid approach to the development of human activities at sea, near and off shore, both in civil/residential or industrial applications.
Theoretical and Experimental Investigation of Appendages and Heeling Angle Influence on the Hydrodynamic Resistance of a Sailing Yacht
Authors: Obreja Dan  , Crudu Liviu  , Sălcianu Mădălina  , Plîngu Răzvan
Published: February 2025

The hydrodynamic resistance of a sailing yacht is strongly influenced by the large appendages and heeling angles. The paper presents a comparative analyze of the theoretical and experimental results related to the influence of the appendages and heeling angle on the hydrodynamic resistance of a yacht, of 14.23 m length. The theoretical approach was based on the method proposed by Larson and Eliasson. The residuary resistance was calculated using the empirical relations developed by Gerritsma, on the basis of Delft systematic yacht series. The components of the yacht resistance including the keel, rudder and additional weight influence were estimated by using a computer code performed in Java language, in the Research Centre of Naval Architecture Faculty. The experimental model tests have been carried out in the Towing Tank of the Naval Architecture Faculty of “Dunarea de Jos” University of Galati. A set of combinations of appendages and heeling angles of 5°, 10° and 15° has been considered. The comparative diagram between the theoretical and experimental results of the yacht resistance shows large differences. The important influence of the heeling angles and large appendages on the yacht hydrodynamic resistance was highlighted. As a consequence, the increasing of the accuracy level of the resistance prediction methods and the appendages resistance optimisation become very important objectives, during the initial design stages.
Systematic Analysis of Geometrical Characteristics of Hulls for Displacement Yachts
Authors: Ruggiero Valerio
Published: February 2025

Italy is one of the leaders in construction of large yachts, this market became bigger in the last decades not only in terms of number of constructions but also in terms of ship sizes.
Fuel Cells and Shipping Emissions Mitigation
Authors: Taccani Rodolfo  , Ustolin Federico  , Zuliani Nicola  , Pinamonti Paolo  , Pietra Andrea
Published: February 2025

Data analysis of vessels routes show that shipping is responsible of about 2,6% of world CO2e (carbon dioxide equivalent) emissions. The effect on environment is increased as most of the emissions are concentrated in coastal areas. IMO and other bodies are making growing efforts to impose severe limits on shipping pollutions. Different technical and operational improvements have been made but hydrogen and fuel cells remain one of the best candidates to substantially reduce emissions and fuel consumption. This paper gives an updated review of the fuel cells applications in the marine sector and analyses the potential of different fuel cells technology for the on board installation. The analysis shows the advantages that fuel cells can give in terms of emissions reductions and fuel saving. The benefits are dependent on the type of ship and the operating profiles. Nevertheless, even if some fuel cells types are today ready for marine application, costs, hydrogen availability and certifications issues still hamper the full exploitation of the technology.
Integration of Economic Models for Software Product Lines by Means of a Common Lexicon
Authors: Heradio Ruben  , Fernandez-Amoros David  , Cerrada Carlos  , Cabrerizo Francisco Javier  , Herrera-Viedma Enrique
Published: February 2025

The Software Product Line approach undertakes the development of complete portfolios of software products as a single, coherent development task. Although there are well-documented examples of cost reduction, shorter development times, and quality improvement achieved by introducing the product line paradigm in industry, the approach is not always the best economic choice for building a family of related systems. To support decision makers, a number of economic models have been proposed. Apparently, existing proposals are rather heterogeneous in terms of their main characteristics and goals. Nevertheless, this paper shows how most models may be defined using a small common lexicon. Translating models to such common lexicon, we compare them in detail, identifying their strengths and weaknesses. As a result, the paper proposes an integrated model that improves the cost estimation accuracy of existing models.
Understanding Texts in Attempto Controlled English
Authors: Fuchs Norbert E.
Published: February 2025

Understanding texts in Attempto Controlled English (ACE) is considered undemanding, nonetheless hides some problems. To deal with these problems I propose an experiment based on Kuhn's ontographs that tests the understanding of simple ACE texts. Furthermore, I suggest to compare the relation between authors and readers with human verbal conversations. My conclusion is that the correct understanding of an ACE text is possible, but requires contributions from both authors and readers, quasi their cooperation.
Czech & Slovak Corpus Resources Go (not only) Latvian
Authors: Škrabal Michal  , Benko Vladimír
Published: February 2025

As Latvian can still be considered an under-resourced language, several corpora and corpus tools that can be used for its linguistic research are presented in the paper, namely: the InterCorp and Araneum Lettonicum corpora along with the Treq database, a word-sketch grammar for Latvian and the Morfio tool.
Loss Aversion Fosters Coordination in Independent Reinforcement Learners
Authors: Gasparrini Marco Jerome  , Sánchez-Fibla Martí
Published: February 2025

We study what are the factors that can accelerate the emergence of collaborative behaviours among independent selfish learning agents. We depart from the “Battle of the Exes” (BoE), a spatial repeated game from which human behavioral data has been obtained (by Hawkings and Goldstone, 2016) that we find interesting because it considers two cases: a classic game theory version, called ballistic, in which agents can only make one action/decision (equivalent to the Battle of the Sexes) and a spatial version, called dynamic, in which agents can change decision (a spatial continuous version). We model both versions of the game with independent reinforcement learning agents and we manipulate the reward function transforming it into an utility introducing “loss aversion”: the reward that an agent obtains can be perceived as less valuable when compared to what the other got. We prove experimentally the introduction of loss aversion fosters cooperation by accelerating its appearance, and by making it possible in some cases like in the dynamic condition. We suggest that this may be an important factor explaining the rapid converge of human behaviour towards collaboration reported in the experiment of Hawkings and Goldstone.
Mean-Shift Outlier Detection
Authors: Yang Jiawei  , Rahardja Susanto  , Fränti Pasi
Published: February 2025

We propose mean-shift to detect outlier points. The method processed every point by calculating its k-nearest neighbors (k-NN), and then shifting the point to the mean of its neighborhood. This is repeated three times. The bigger the movement, the more likely the point is an outlier. Boundary points are expected to move more than inner points; outliers more than boundary. The outlier detection is then a simple thresholding based on standard deviation of all movements. Points that move more than that are detected as outliers. The method outperforms all compared outlier detection methods.
Machine Learning Analysis and Agent-Based Modelling of Malaria Transmission
Authors: Modu Babagana  , Polovina Nereida  , Lan Yang  , Konur Savas
Published: February 2025

Malaria is the leading cause of death in many countries. Numerous studies have been carried out to introduce prevention mechanisms; but most methods employed are limited to mathematical modelling and analysis. Predicting the occurrence of malaria incidence and understanding the dynamics of transmission still remain two key challenges. In this paper, we have utilised two different computational techniques to address these issues. We have used machine learning methods and developed models for predicting the likelihood of malaria outbreak using the incidence data against climatic factors. The success of machine learning depends on the availability of reliable large data sets; but in most cases it is not possible to have reliable and complete data. Also, machine learning does not provide a good understanding of the transmission mechanism. Hence, we have used agent-based modelling approach to simulate the malaria dynamics using some parameters. The model developed has potential to emulate real scenarios for showing impact of the incubation period on malaria dynamics. Moreover, the model can also assist hospitals, public health officials and policy makers with near-real evidence on how malaria infection invading population so as to strategies for feasible intervention.
Multi-Granularity Rough Soft Set Combined with Weighted Granularity
Authors: Wang Xiaomin  , Liu Huiyuan  , Zhao Pengyun  , Li Piyu  , Liu Jianbo
Published: February 2025

By analyzing the limitations of the current rough soft set, this paper mainly introduces the weighted multi-granularity rough soft set (WMGRSS). Some important properties of WMGRSS are investigated. Moreover, an algorithm is put forward which can be used in multi attribute decision making. We provide an application for the material selection problem in order to verify its effectiveness,
A Method for Realizing Secure Chip Multi-Algorithm Processing Application
Authors: Fu Qingqin  , Ang Zhengquan  , Liu Jia  , Xu Pingjiang  , Liang Zhaoqing
Published: February 2025

This paper analyzes the shortcomings of traditional secure chips for application processing, and proposes a new secure chip application method that can implement multi-algorithm processing applications. This method greatly enhances the secure chip's ability to handle applications flexibly. Under the same directory, multiple application algorithms can be supported. At the same time, the range of key file attributes can be extended. With the specified algorithm, the same type of keys can perform different algorithm operations.
Predicting Slaughter Weight in Pigs with Regression Tree Ensembles
Authors: Alsahaf A.  , Azzopardi G.  , Ducro B.  , Veerkamp R.F.  , Petkov N.
Published: February 2025

Domestic pigs vary in the age at which they reach slaughter weight even under the controlled conditions of modern pig farming. Early and accurate estimates of when a pig will reach slaughter weight can lead to logistic efficiency in farms. In this study, we compare four methods in predicting the age at which a pig reaches slaughter weight (120 kg). Namely, we compare the following regression tree-based ensemble methods: random forest (RF), extremely randomized trees (ET), gradient boosted machines (GBM), and XGBoost. Data from 32979 pigs is used, comprising a combination of phenotypic features and estimated breeding values (EBV). We found that the boosting ensemble methods, GBM and XGBoost, achieve lower prediction errors than the parallel ensembles methods, RF and ET. On the other hand, RF and ET have fewer parameters to tune, and perform adequately well with default parameter settings.
Optical Flow Group-Parameter Reconstruction from Multi-Channel Image Sequences
Authors: Kalitzin Stiliyan  , Geertsema Evelien  , Petkov George
Published: February 2025

We propose a novel algorithm for reconstruction of optical flow group transformation parameters from sequences of multi-channel images. Our method is based on “early integration” paradigm using all of the available spectral components and the vector field representation of the transformation group generators. This way the reconstructed flow carries the total information contained in the images and the singularity of the inverse problem is potentially reduced. The method avoids the more complex and ambiguous task of first reconstructing the local vector field and subsequently fitting the group transformation templates. Remaining singularity of the structural tensor is removed by a modified Tikhonov-type of regularization. The algorithm is quantitatively validated with recorded images transformed with generated vector fields that are then compared with the reconstructed optical flow. The dependence of reconstruction accuracy on both the parameters of the images and the magnitudes of the vector deformation fields is presented. We also show the application of the method to the real-world task of video-based detection of convulsive epileptic seizures and compare the output to the previously published results using standard optical flow algorithm.
Robotics in Japan: Local, Global, and “Glocal” Influences and Applications
Authors: Robertson Jennifer  , Nørskov Marco
Published: February 2025

Technology, including robotics, and culture are intertwined and even mutually constitutive processes. Both technology and culture operate on many levels that are categorized for the purposes of this workshop as global, local, and ‘glocal.’ As evident in popular and scholarly media, robots made in Japan are often described as inseparably bound to Japanese culture whereas robots made in Europe or the United States are treated as if immune from local/cultural influences and priorities. Our workshop will problematize and fine-tune the category of ‘Japanese robots’ by exploring robots designed and manufactured in Japan AND deployed in local, global, and ‘glocal’ contexts and environments. In addition to providing empirical information on new directions and applications in robotics, a key objective of the workshop is the development of a method of researching and representing robots and robotics that is attentive and sensitive to both the intersections and divergences of local and global, and ‘glocal,’ applications.
Machines Without Humans—Post-Robotics
Authors: Klein Maike  , Hoher Simon  , Kimpeler Simone  , Lehner Maximilian  , Jaensch Florian  , Kühfuß Fabian  , Lehmann Hagen  , Snelting Femke
Published: February 2025

Debates around robots, both scientific and non-scientific, mostly put the human being in their focus. This is important and necessary to produce machines that humans can operate and interact with, and to do responsible research. We think, however, that the phenomenon of robots, and generally machines, is only fully comprehensible if we, the observers, step back and try to understand machines from another, unusual perspective: the machines themselves.
A Semantic Orthogonal Mapping Method Through Deep-Learning for Semantic Computing
Authors: Chen Xing  , Kiyoki Yasushi
Published: February 2025

In order to realize an artificial intelligent system, a basic mechanism should be provided for expressing and processing the semantic. We have presented semantic computing models in which original data are mapped in to a semantic space and presented as points in semantic spaces. That is, we presented a method to process semantic information by calculating Euclidean distances of those points in the semantic spaces. In our continuous studies, we note that different mapping matrixes are required to map the original data in to the semantic space when this model is applied in different application areas. Therefore, it is an important research topic to develop methods to create the mapping matrixes applied in different areas. Many research works are presented on applying the model in the areas of semantic information retrieving, semantic information classifying, semantic information extracting, and semantic information analyzing on reason and results, etc. In these works, the mapping matrixes are created based on the analyzations in the application areas with human knowledge. In this paper, we present a new method to perform the semantic mapping through deep-learning computation. The most important feature of our method is that we implement semantic mapping through training data sets rather than the mapping matrix which is created based on the analyzations of human being. We first discuss five basic operations, the semantic space creation, semantic mapping, semantic mapping matrix, semantic space expansion and contraction. After that, we present our method. In order to present correlations of the semantic information correctly in Euclidean distances, the axes of a semantic space must be orthogonal to each other. Therefore, we also discuss how to implement semantic orthogonal mapping. We believe that our study will open new application areas on semantic computing and deep-learning.
Design of Citizen Database for Forest Incident Reporting System in Finland
Authors: Tiufiakov Nikita  , Gorbulin Andrei  , Aryal Shekhar  , Vasiltsov Oleg  , Dahanayake Ajantha  , Zudilova Tatiana
Published: February 2025

The citizen science programs in forest environments are implemented to collect forest data, measure and monitor data such as forest pollution and forest damages, and many other environmental issues related to forests. Based on our literature review on citizens science and citizen science databases we purpose a database design for Finland's forest incidents reporting application. The database design has been proposed in a way to support the community to report about incidents occurring in the forest. Text, photos, and videos are data types in use to report incidents. In addition, the paper provides a possible proposal for data gathering application design. The research will also provide the current challenges of citizen science databases and future improvements for the proposed database design.