bluuebunny/crossref_metadata_2025 huggingface dataset:
DETERMINING RISKS OF PROFITABLE TRANSMISSION AND INFORMATION PROTECTION IN TELECOMMUNICATION SYSTEMS
Authors: Khmelnytskyi Yu , Ognjevyj O ,   Khmelnytskyi National University
Published: February 2025

The paper proposes an up-to-date method and toolkit for early detection and forecasting of the risks of interference transmission, protection of information in telecommunication systems. In telecommunication systems, the quality of information transmission can significantly affect the bandwidth of individual data streams or entire domains. Transmission flow risk prediction is based on the criterion of quality of service and uniform load of network resources. Improving the quality of service, protection and operation of the system is carried out taking into account the classification of the transmission stream, which sufficiently limits the ability to control the telecommunications system. Most models of such networks do not take into account the characteristics of multiservice data flow, which leads to poor quality of service and increase the likelihood of blocking transmission channels. The lack of ability to differentiate the data flows of individual clients of the telecommunication system and the ability to take into account their quality requirements, leads to low efficiency of the routing channel, suboptimal distribution of system load, poor quality of service of high priority data streams. The application of new models and algorithms to ensure the functioning of the telecommunications system will allow the transmission of information streams, differentiating them by the sensitivity to mix the order of packet transmission and disconnect. There are no controls on the transmission process of individual data streams, and therefore the system will not be able to guarantee the required level of control. The research will allow users to receive services with the necessary quality, reliability and will help to overcome the emerging problems of interfering information transmission.
СТАБІЛЬНИЙ РОЗВИТОК ТА ЕКОНОМІЧНА СТІЙКІСТЬ В УМОВАХ ГЛОБАЛІЗАЦІЇ
Authors: БОКОВЕЦЬ Вікторія , ДАВИДЮК Людмила , ХИМИЧ Вікторія
Published: February 2025

У статті розглядаються теоретичні та практичні аспекти економічної стійкості підприємств у умовах глобалізації. Визначено ключові фактори, що впливають на стійкість бізнесу, серед яких зовнішні і внутрішні економічні, фінансові та управлінські чинники. Окрему увагу приділено механізмам підвищення економічної стійкості, таким як диверсифікація бізнесу, інноваційний розвиток, фінансова гнучкість та адаптивне управління. Зазначено важливість застосування принципів сталого розвитку, цифрових технологій та стратегічних партнерств для забезпечення довгострокової стабільності підприємств. Також окреслено перспективи подальших досліджень у галузі економічної стійкості, зокрема вивчення впливу цифрових рішень та міжнародної кооперації на конкурентоспроможність підприємств.
Effectiveness of Ammonium Polymer in Improving Floating Treatment Wetland to Reduce Cod From Palm Oil Mill Effluent
Authors: Hakim Lukman , Rahayu Aster , Jamilatun Siti
Published: February 2025

Palm oil mill effluent (POME) is a liquid waste from the palm oil industry. This waste contains high levels of organic pollutants and can contribute to environmental pollution. Current technologies effectively degrade these pollutants but are often not environmentally friendly and expensive. Phytoremediation combined with an adsorption system using ammonium polymers is expected to address these challenges. Vetiver grass (Chrysopogon zizanioides) and ammonium polymers have been separately tested and proven capable of degrading pollutants in wastewater. The study began by modifying the planting medium for vetiver grass with gravel:polymer:soil ratio of 3:5:2. The modified net pot was then placed in a floating treatment wetland reactor for POME treatment over a remediation period of 7 days. For comparison, a control experiment was conducted using plants without polymers in the planting medium. The results showed a COD degradation of approximately 75% in POME after treatment. The reduction in COD continued to improve with increasing remediation time, reaching its peak on the seventh day. The modified planting medium also influenced plant growth, as the polymer adsorbed some phosphate and nitrate.
PENGARUH SUPPLY CHAIN PERFORMANCE TERHADAP KINERJA KEUANGAN PADA PERUSAHAAN SHOETOWN GROUP
Authors: Loviani Cyndi Luckita
Published: February 2025

Penelitian ini bertujuan untuk menguji pengaruh supply chain performance terhadap kinerja keuangan pada perusahaan Shoetwon Group. Periode 2021-2024 kapasitas produksi dan rekap pesanan pada perusahaan Shoetwon Group terus meningkat sedangkan nilai EBIT mengalami penurunan. Penelitian ini menggunakan metode  penelitian  kuantitatif. Supply chain performance diproxykan menggunakan pairs per hours sebagai variabel independen , sedangkan kinerja keuangan perusahaan diproxykan menggunakan return on assets sebagai variabel dependen. Penelitian ini menggunakan sampel dari 5 perusahaan yang tergabung pada grup perusahaan. Penarikan sampel dilakukan dengan menggunakan metode semua data yang sesuai kriteria sampel. Hasil penelitian menunjukan bahwa terdapat pengaruh yang positif tetapi tidak signifikan dari variabel pairs per hours terhadap kinerja keuangan return on assets. Hal ini menunjukan bahwa setiap peningkatan 1 satuan dari pairs per hours akan meningkatkan kinerja keuangan return on assets sebesar 0,016473 satuan
Insights for the Future of Car Rental and Ridesharing: Driving Behavior Across Different Levels of Automation
Authors:   San Jose State University, Meda Pranav , Contreras Aubrey Victoria , Lo Wei-Hsiang , Huang Gaojian , Luo Yue
Published: February 2025

Autonomous vehicles are reshaping the car rental and ridesharing industries, potentially leading to a unified model of on-demand transportation suitable for both uncommon (e.g., business trips) and daily commuting. An exploratory study of human behavior towards autonomous vehicles can uncover the challenges and opportunities inherent in different levels of vehicle automation. This study aims to (a) identify behavioral differences in drivers operating vehicles at various levels of automation and (b) explore how these behaviors vary with different assistance feature styles, specifically between risky and conservative modes. Human-subject experiments were conducted among twelve participants (aged 21 to 29, including four women) to complete simulated driving trials under different levels of automation (Levels 0, 3, and 5), assistance features (risky and conservative modes), and driving activities (lane keeping and lane changing). Measures of driving performance, body posture, and eye movement were recorded during each trial. The data implied that: (1) driving performance: drivers exhibited stable speed and steering control at Levels 0 and 5, while speed decreased and steering variability increased obviously at Level 3; (2) driving posture: a tense posture was noted at Level 0, with potential posture preparation needed for takeover actions at Level 3; (3) eye movement: active scanning and continuous control were maintained at Level 0, with notable shifts in attention at Levels 3 and 5. Further research could focus on conducting on-road tests, using equipment designed for on-road tests and broadening the demographic range of participants.
Arthroscopic Treatment of Shoulder Stiffness with Rotator Cuff Repair Yields Similar Outcomes to Isolated Rotator Cuff Repair
Authors: Nanavati Ruchir , Brush Parker , Santana Adrian , Toci Gregory , Issa Tariq , Fletcher Daniel , Hornstein Joshua
Published: February 2025

Purpose: To compare patient-reported and surgical outcome measures in patients with and without secondary shoulder stiffness (SSS) undergoing rotator cuff repair (RCR).

Methods: Patients undergoing rotator cuff repair from 2014 to 2020 with complete patient-reported outcome measures (PROMs) by the short-form 12 survey (SF-12) were retrospectively reviewed to identify if operative intervention for SSS was performed alongside the RCR. Those patients with operative intervention for SSS were propensity matched to a group without prior intervention for stiffness by age, sex, laterality, body mass index, diabetes mellitus status, and the presence of a thyroid disorder. The groups were compared by rotator cuff tear (RCT) size, surgical outcomes, further surgical intervention, rotator cuff retear rate, postoperative range of motion (ROM), and SF-12 results at one year after surgery. Delta values were calculated for component scores of the SF-12 and ROM values by subtracting the preoperative result from the postoperative result.

Results: A total of 89 patients with SSS were compared to 156 patients in the control group at final analysis. SSS group experienced a significant improvement by the delta mental health component score (MCS-12) of the SF-12 survey that was not seen in the control group (p=0.005 to p=0.539). Both groups experienced significant improvement by the delta physical health component score (PCS-12) of the SF-12 survey (SSS: 7.68, p&l;0.001; control: 6.95, p&l;0.001). The SSS group also experienced greater improvement of their forward flexion (25.80 vs 12.9°, p-0.005) and external rotation (7.13° vs 1.65°, p=0.031) ROM than the control group.

Conclusions: Operative intervention of SSS at the time of RCR has equivalent postoperative outcomes by the SF-12 survey when compared to patients undergoing RCR without preoperative stiffness.
БОЛАШАҚ БИОЛОГИЯ ПӘНІ МҰҒАЛІМДЕРІН КӘСІБИ ДАЯРЛАУ БАРЫСЫНДА ЦИФРЛЫҚ ҚҰЗЫРЕТТІЛІКТЕРІН ҚАЛЫПТАСТЫРУДА ЖАОК-ДЫҢ МАҢЫЗЫ
Authors: Аубакир А.Г. , Сексенова Д.У. , Оспанбек Т.Р.
Published: February 2025

Жаппай ашық онлайн курстар (MOOCs) тұжырымдамасы қарастырылады. Болашақ биология мұғалімдерінің цифрлық құзыреттілігін дамыту үшін MOOC артықшылықтары көрсетілген. Бұл мақалада MOOC-ті оқу үдерісіне сәтті енгізу әдістері талқыланады. Онлайн курстарды енгізу үшін оқу бағдарламасына биологияны оқыту әдістемесін енгізу ұсынылады.
Бұл мақала биологияны оқу кезеңінде жаңа ақпараттық жүйелер мен цифрлық порталдарды пайдалана отырып, ақпараттық-коммуникациялық технологиялар арқылы студенттерді оқыту үдерісінде цифрлық құзыреттілікті қалыптастыруға ықпал етеді және білім беруді цифрландыру мәселесін тереңірек түсінуге ықпал етеді.
ОРТА МЕКТЕПТІҢ ҚАЗАҚ ТІЛІ ОҚУЛЫҒЫНА ЕНДІРІЛГЕН МӘТІНДЕРДІҢ ДИДАКТИКАЛЫҚ МАҢЫЗЫ
Authors: Ергубекова Ж.С. , Куралбаева А.А. , Сақулова А.Б.
Published: February 2025

Мақалада негізгі және жалпы орта мектептерінің қазақ тілі пәні оқулықтарына талдау жасалып, оқулыққа қойылатын талаптар негізделді. Оқулықпен жұмыс жүргізудің артықшылығы мен мәтінге байланысты та,псырмалардың ауызша және жазбаша түрлері ұсынылды. Жаңартылған білім беру жүйесі мазмұнындағы қазақ тілі пәніне пәндер арасындағы байланыс, интеграция функциясын атқарып, оқушылардың функционалдық сауаттылығын қалыптастыру қызметін атқару міндеті жүктелгендей. Бұл міндеттің үдесінен шығу оқу бағдарламасы мен оқулықтың дұрыс түзілуіне байланысты. Қоғамдағы сан салалы мәселелер қазақ тілі оқулығында біріктірілген. Оқулыққа ендірілген әр мәтін үлкен талғаммен таңдалып, түрлі критерийлі сүзгіден өтетіндігі белгілі. Кейде осы талғамның кемшін, сүзгінің жұқалау болып қалатындығы ішті қынжылтады. Қазақ тілі пәні оқулықтарына ендірілген лексикалық тақырыптарға берілген мәтіндер негізінде жасалатын жұмыстар оқылым, жазылым, тыңдалым, айтылым дағдыларын дамыту арқылы білім алушылардың бойында адамгершілік қасиеттерді, эстетикалық талғамды, ұлттық дара менталитеттік ерекшелікті, жаңашылдық пен ізденімпаздықты т.т. қалыптастырады. Мақалада қазақ тілі пәні оқулықтарына ендірілген мәтіндердің лексикалық, грамматикалық ерекшеліктеріне тоқталып, ол мәтіндердің білімдік, тәрбиелік, дамытушылық мақсаттары талданды. Әр сынып бойынша оқулыққа ендірілген мәтіндермен жұмыс түрлеріне шолу жасалды. Сонымен қатар, грамматикалық тақырыптардан лексикалық тақырыптардың маңыздырақ болу салдарына болжам жасалды. Бұл тұста оқыту қазақ тілінде жүргізілетін мектептерде қазақ тілін туған тіл ретінде оқыту принципін ұстану дұрыстығы тұжырымдалды.
A Self-Configuration Mechanism for Software Components Distributed in an Ecology of Robots
Authors: Gritti Marco  , Saffiotti Alessandro
Published: February 2025

Distributed heterogeneous robotic systems are often organized in component-based software architectures. The strong added value of these systems comes from their potential ability to dynamically self-configure the interactions of their components, in order to adapt to new tasks and unforeseen situations. However, no satisfactory solutions exist to the problem of automatic self-configuration. We propose a self-configuration mechanism where a special component generates, establishes and monitors the system configurations. We illustrate our approach on a distributed robotic system, and show an experiment in which the configuration component dynamically changes the configuration in response to a component failure.
On the Robustness of Visual Homing under Landmark Uncertainty
Authors: Schroeter Derik  , Newman Paul
Published: February 2025

Although a large body of literature exists on methods for landmark-based navigation of mobile robots, little has been said about their robustness in the presence of changing and wrong landmark correspondences as well as erroneous compass measurements. To this end, we investigate the practical implications of different compass-dependent approaches to 2D Bearing-Only Navigation (2D BON) under such conditions, and we suggest measures to quantify their robustness. The analysis is based on the notion of the Homing Vector Field (HVF), and carried out in simulation, since complete HVFs can not be determined otherwise. However, HVFs provide a generic framework that enables the sound comparison of different 2D BON methods. In addition, we propose a method that is based on the approximation of the gradient of an implicit objective function, which constitutes a gradient descent approach. We present practical results that show the applicability of our approach using natural visual landmarks, omni-directional vision and a compass.
Audio-Visual Detection of Multiple Chirping Robots
Authors: Gribovskiy Alexey  , Mondada Francesco
Published: February 2025

Design, study, and control of mixed animals-robots societies are the fields of scientific exploration that can bring new opportunities for study and control of groups of social insects and animals and, in particular, for improvement of welfare and breeding conditions of domestic animals. Our long-term objective is to develop a mobile robot, socially acceptable by chickens and able to interact with them using appropriate communication channels. For interaction purposes the robot has to know positions of all birds in an experimental area and detect those uttering calls. In this paper, we present an audio-visual approach to locate the robots and animals on a scene and detect their calling activity. The visual tracking is provided by a marker-based tracker with help of an overhead camera. Sound localization is achieved by the beamforming approach using an array of sixteen microphones. Visual and sound information are probabilistically mixed to detect the calling activity. The experimental results demonstrate that our system is capable to detect the sound emission activity of multiple moving robots with 90% probability.
Sliding Autonomy for Peer-To-Peer Human-Robot Teams
Authors: Dias M. Bernardine  , Kannan Balajee  , Browning Brett  , Jones E. Gil  , Argall Brenna  , Dias M. Freddie  , Zinck Marc  , Veloso Manuela M.  , Stentz Anthony J.
Published: February 2025

The vision of humans and robots working together as peers to accomplish complex tasks has motivated many recent research endeavors with a variety of applications ranging from lunar construction to soccer. However, much of this research is still at an early stage, and many challenges still remain in realizing this vision. A key requirement for enabling robustness and efficiency in human-robot teams is the ability to dynamically adjust the level of autonomy to optimize the use of resources and capabilities as conditions evolve. While sliding autonomy is well defined and understood in applications where a single human is working with a single robot, it is largely unexplored when applied to teams of humans working with multiple robots. This paper highlights the challenges of enabling sliding autonomy in peer-to-peer human-robot teams and extends the current literature to identify and extend six key capabilities that are essential for overcoming these challenges. These capabilities are requesting help, maintaining coordination, establishing situational awareness, enabling interactions at different levels of granularity, prioritizing team members, and learning from interactions. We demonstrate the importance of several of these characteristics with results from a peer-to-peer human-robot team engaged in a treasure hunt task.
Nonlinear Model Predictive Control of Omnidirectional Mobile Robot Formations
Authors: Kanjanawanishkul Kiattisin  , Li Xiang  , Zell Andreas
Published: February 2025

In this paper we focus on solving a path following problem and keeping a geometrical formation. The problem of formation control is divided into a leader agent subproblem and a follower agent subproblem such that a leader agent follows a given path, while each follower agent tracks a trajectory, estimated by using the leader's information. In this paper, we exploit nonlinear model predictive control (NMPC) as a local control law due to its advantages of taking the robot constraints and future information into account. For the leader agent, we propose to explicitly integrate the rate of progression of a virtual vehicle into the local cost function of NMPC. This strategy can overcome stringent initial constraints in a path following problem. Our approach was validated by experiments using three omnidirectional mobile robots.
A Fast Method for Property Prediction in Graph-Structured Data from Positive and Unlabelled Examples
Authors: Hoche Susanne  , Flach Peter  , Hardcastle David
Published: February 2025

The analysis of large and complex networks, or graphs, is becoming increasingly important in many scientific areas including machine learning, social network analysis and bioinformatics. One natural type of question that can be asked in network analysis is “Given two sets R and T of individuals in a graph with complete and missing knowledge, respectively, about a property of interest, which individuals in T are closest to R with respect to this property?”. To answer this question, we can rank the individuals in T such that the individuals ranked highest are most likely to exhibit the property of interest. Several methods based on weighted paths in the graph and Markov chain models have been proposed to solve this task. In this paper, we show that we can improve previously published approaches by rephrasing this problem as the task of property prediction in graph-structured data from positive examples, the individuals in R, and unlabelled data, the individuals in T, and applying an inexpensive iterative neighbourhood's majority vote based prediction algorithm (“iNMV”) to this task. We evaluate our iNMV prediction algorithm and two previously proposed methods using Markov chains on three real world graphs in terms of ROC AUC statistic. iNMV obtains rankings that are either significantly better or not significantly worse than the rankings obtained from the more complex Markov chain based algorithms, while achieving a reduction in run time of one order of magnitude on large graphs.
Complexity of Subsumption in the ℰℒ Family of Description Logics: Acyclic and Cyclic TBoxes
Authors: Haase Christoph  , Lutz Carsten
Published: February 2025

We perform an exhaustive study of the complexity of subsumption in the ℰℒ family of lightweight description logics w.r.t. acyclic and cyclic TBoxes. It turns out that there are interesting members of this family for which subsumption w.r.t. cyclic TBoxes is tractable, whereas it is EXPTIME-complete w.r.t. general TBoxes. For other extensions that are intractable w.r.t. general TBoxes, we establish intractability already for acyclic and cyclic TBoxes.
Mastering the Processing of Preferences by Using Symbolic Priorities in Possibilistic Logic
Authors: Kaci Souhila  , Prade Henri
Published: February 2025

The paper proposes a new approach to the handling of preferences expressed in a compact way under the form of conditional statements. These conditional statements are translated into classical logic formulas associated with symbolic levels. Ranking two alternatives then leads to compare their respective amount of violation with respect to the set of formulas expressing the preferences. These symbolic violation amounts, which can be computed in a possibilistic logic manner, can be partially ordered lexicographically once put in a vector form. This approach is compared to the ceteris paribus-based CP-net approach, which is the main existing artificial intelligence approach to the compact processing of preferences. It is shown that the partial order obtained with the CP-net approach fully agrees with the one obtained with the proposed approach, but generally includes further strict preferences between alternatives (considered as being not comparable by the symbolic level logic-based approach). These additional strict preferences are in fact debatable, since they are not the reflection of explicit user's preferences but the result of the application of the ceteris paribus principle that implicitly, and quite arbitrarily, favors father node preferences in the graphical structure associated with conditional preferences. Adding constraints between symbolic levels for expressing that the violation of father nodes is less allowed than the one of children nodes, it is shown that it is possible to recover the CP-net-induced partial order. Due to existing results in possibilistic logic with symbolic levels, the proposed approach is computationally tractable. Key words: preference, priority, partial order, CP-net, possibilistic logic.
Incremental Component-Based Construction and Verification of a Robotic System
Authors: Basu Ananda  , Gallien Matthieu  , Lesire Charles  , Nguyen Thanh-Hung  , Bensalem Saddek  , Ingrand Félix  , Sifakis Joseph
Published: February 2025

Autonomous robots are complex systems that require the interaction/cooperation of numerous heterogeneous software components. Nowadays, robots are critical systems and must meet safety properties including in particular temporal and real-time constraints. We present a methodology for modeling and analyzing a robotic system using the BIP component framework integrated with an existing framework and architecture, the LAAS Architecture for Autonomous System, based on Geno
Stratified Composition of Web Services
Authors: Maigre Riina  , Grigorenko Pavel  , Küngas Peep  , Tyugu Enn
Published: February 2025

We propose an automatic service composition methodology where, three levels of composition knowledge are distinguished: user level, logical level and implementation level knowledge. We use a knowledge-based software development environment CoCoViLa that enables composition throughout these three levels. A motivation for this approach is a need to overcome the complexity of service composition on very large sets of atomic services we are dealing with in our application domain. The domain concerns federated governmental information systems.
Questioning Material/Conceptual Authenticity
Authors: Vanlaethem France  , Poisson Céline
Published: February 2025

Heritage as Semiosis; Authenticity Reconsidered; Judging Authenticity; References
Transformation
Authors: Gooijer Arjan  , te Velde Gert Jan  , van Schagen Henk
Published: February 2025

Transformation: An Alternative Strategy; Topics of Transformation; Projects; The New Role of the Designer; Conclusion; Notes
Healthy Bodies, Healthy Minds: Everyday Modernism in Australian Suburban Communities
Authors: Lewi Hannah
Published: February 2025

The Middle Landscape; Infrastructure for Birth to Old Age; The Integration of Buildings and Suburban Parks; Legacies of Everyday Sites and Landscapes; Notes
Ecological Crisis and the Modernist Residential Landscape: Pontchartrain Park, New Orleans, Louisiana
Authors: McMichael Reese Carol  , Wolff Jane
Published: February 2025

The Modernist Landscape of New Orleans; Rehabilitating the Modernist Landscape; A Case Study for New Orleans and Beyond; Notes
Conservation Development Strategy for the University of East Anglia
Authors: Fawcett William  , Thornburrow Katie  , Saunders Joseph
Published: February 2025

The British New Universities; Heritage Protection: ‘Listing’; Listing Reform; Relevance of Conservation Development Strategy; Benefits of the Conservation Development Strategy; References
Modernist Housing for Contemporary Families
Authors: Mota Nelson
Published: February 2025

Modernist Housing in Portugal: The Rise of a New Paradigm; The Modern Breakthrough IN The Architecture of Everyday Life; Living in Modernist Housing: The Evaluation of the Users; Contemporary Families: A Future for Modernist Housing; Notes
Lessons on Architecture for the Future of the Past
Authors: Santos de Oliveira Beatriz
Published: February 2025

The Research Brazilian Houses in the 20th Century; Teaching, Research and Extension: The Experience of an Integrated Work; Conclusion; Notes
Modern Education and the Education in Transformation of the Modern
Authors: Moniz Gonçalo Canto  , Bandeirinha José António
Published: February 2025

From Beaux-Arts System to Modern Education: “Training the Architect”; 1940s – Modern Methods for Beaux-Arts Curriculum; 1950s – Building a New School; 1960s – Modern Curriculum and Social Criticism; The Education in Transformation: Modern Methods for Modern Buildings; Notes
Rewriting the Past: The Demolition of Modern Buildings and Monuments in Post-Communist Poland
Authors: Wieszczek Krystyna  , de Oliveira Fabiano Lemes
Published: February 2025

The Birth of the Monument; The Modern Movement in Poland, the Monument and the Hotel Rzeszów; The Future of the Monument; Notes
Voltage Sag Source Location From Extracted Rules Using Subgroup Discovery
Authors: Barrera Víctor  , López Beatriz  , Meléndez Joaquim  , Sánchez Jorge
Published: February 2025

This work presents a set of rules to determine the voltage sag source location in electric power systems. The rule set is extracted using subgroup discovery (SD). The SD objective is to discover characteristics of subgroups with respect to a specific property of interest. Our interest is to obtain the origin of sag events, upstream or downstream from the measurement point. Voltage sag features registered in electric substations are used as input data to SD algorithm. The SD algorithm used is CN2-SD to learn descriptive rules. Results show the rules extracted can be easily interpreted by a domain expert, allowing the formulation of heuristic classification rules with high accuracy.
Distributed Barter–Based Directory Services
Authors: Cabanillas David  , Willmott Steven  , Cortés Ulises
Published: February 2025

The allocation of resources amongst a set of autonomous entities with contradicting interests is a recurring and relevant theme in distributed domains.
Morphisto – An Open Source Morphological Analyzer for German
Authors: Zielinski Andrea  , Simon Christian
Published: February 2025

This paper presents the development of an open-source morphology tool for German integrated into a grid-based environment. Departing from the SFST-based SMOR tools (Schmid et al. [1]), we have implemented a minimal lexicon component that works in tandem with the morphological tool. Tests on a list of 30,000 high-frequency German words show that the recognition rate is comparable to other systems with even larger lexicons. Additional tools for the management of lexical data and services built on top of the finite-state transducer are also integrated as web services in the grid, so that all resources can be shared easily among lexicographers, linguists, and finite-state developers.
Monitoring of maize damage caused by western corn rootworm by remote sensing
Authors: Nádor G.  , Fényes D.  , Surek Gy.  , Vasas L.
Published: February 2025

As one of the consequences of global warming, the gradual dispersion of western corn rootworm (WCR) is becoming a serious maize pest in Europe and all over the world. The WCR was introduced to Europe from the USA. First it was detected in Europe near Beograd in 1992. The WCR has spread from its initial infestation point to a range of several hundred kilometres, affecting many countries in the region including Hungary first in 1995. The structure of a healthy, WCR free maize field shows straight rows in a clear order and upstanding maize stalks. WCR infection can cause wilted broken corn stalks randomly lying on the ground. That means the damage itself causes physical and visible disorder in the maize field. Our goal is to assess and identify the disorders and structural changes caused by WCR using polarimetic radar images (ALOS PALSAR). The initial results of our assessment will be presented in this paper. This project has been implemented in the framework of the tender called by the Ministry of Environment and Water and with the support of the Hungarian Space Office. To develop and extend the method is worthwhile as the WCR monitoring system is expeditious, objective and economical. The development of the system will create the possibility to monitor the spread of WCR on larger areas and to forecast the following year's damage. The amount of information can be used efficiently in plant protection; moreover can be useful for farmers, pesticide producers, state authorities and research institutes.
3D models of trees for the Discrete Anisotropic Radiative Transfer model
Authors: Halounová L.  , Dolanský T.
Published: February 2025

DART model (Discrete Anisotropic Radiative Transfer). is a model of the earth surface layer simulating its radiative transfer. The model simulates 3-dimensional reflectance of surface layers. The model needs the detailed information of the layer in the form of cubes determining individual surface elements. The layer comprising forest areas consist of atmosphere and trees. The paper presents two methods for 3-dimensional models of trees. The first one is the geodetical one performing ground measurement of individual trees by total stations and the second one is the lidar measurement.
Multi-temporal spectral unmixing to characterise urban change in the Greater Dublin area
Authors: Van de Voorde T.  , Demarchi L.  , Canters F.
Published: February 2025

Urban growth models are useful tools to assess the impact of alternative public policy scenarios. The calibration of such models requires historical land-use data, which is not always available at frequent time intervals. In this research, information on spatio-temporal change of land-cover gradients is extracted from two multidate Landsat images by linear spectral unmixing. For this purpose, the two images were subjected to a relative radiometrical calibration in order to reduce the impact of sensor drift and differences in illumination and atmospheric conditions. The resulting gradient information can be used to derive spatial metrics, which in turn characterise urban form and morphology and may serve as a proxy to land-use data. Because the sub-pixel proportions do not contain implicit information as to whether a particular pixel belongs to the urban fabric, an urban mask was required to make that distinction. This mask was created by first applying an unsupervised classification based on Kohonen self-organising maps, and subsequently enhanced by applying ad-hoc knowledge-based post-classification rules. The results of this study demonstrate that sub-pixel change maps are useful to identify urban growth patterns. In combination with the urban mask and unsupervised classification, sub-pixel gradients will be used in future research to investigate if they provide useful information on urban structure, and can maybe even be used to infer certain types of land use.
Drought monitoring with the integrated utilization of satellite images in Hungary
Authors: Suba Zs.  , Nádor G.  , Csornai G.  , László I.  , Wirnhardt Cs.
Published: February 2025

The Hungarian Agricultural Remote Sensing Program (HARSP) led to the operational remote sensing based National Crop Monitoring and Production Forecast Program (CROPMON, 1997–2003) with the support of the Ministry of Agriculture and Regional Development. The Remote Sensing Center of Institute of Geodesy, Cartography and Remote Sensing, (FÖMI RSC) provided nation-wide and local crop production forecasts exclusively on remote sensing basis. The technology basis of CROPMON served as the background of operational remote sensing based drought monitoring and impact assessment.
Semi-automated analysis of time series satellite imagery to assess changes in water storage capacity in a lake in Northern Greece
Authors: Mallinis G.  , Gitas I.Z.  , Strati-Tsakiri M.  , Apostolakakis I.
Published: February 2025

During the last decades, the shoreline of lake Koroneia near Thessaloniki in Northern Greece, has significantly changed, resulting to a dramatical decrease of the quality and the quantity of its water reserves.
On the evaluation of vegetation resilience after two successive fires in Southern Italy by using SPOT-VGT NDVI time series
Authors: Lasaponara R.  , Lanorte A.  , Telesca L.
Published: February 2025

The evaluation of vegetation recovering after fire disturbance (resilience) is challenging in the framework of vegetation monitoring. This paper is focused on the response of vegetation to two successive fires in a test site of southern Italy, using the 1998 to 2005 time series of Normalized Difference Vegetation Index (NDVI) from SPOT-VEGETATION sensor. The detrended fluctuation analysis (DFA) was applied to quantify this response. The obtained results reveal that vegetation dynamics is characterized by a certain degree of resilience after the first fire, which is lower after the second fire. This result shows that the vegetation recovery mechanism is less efficient after the second fire.
Pinro Airborne research on Mackerel distribution in the Norwegian sea
Authors: Zabavnikov Vladimir  , Egorov Sergey
Published: February 2025

To estimate stocks of commercial marine organisms the special surveys are used nowadays. The trawl-acoustic ones are the most popularized. However, this method is characterized by some limitations, which leave certain traces on quality, efficiency and reliability of these surveys and, in the first place, when estimating feeding mackerel biomass by instruments.
Evaluation of the damages provoked by seismic events through teledetected imagery
Authors: Baiocchi V.  , Brigante R.  , Radicioni F.
Published: February 2025

The availability of high resolution satellite stereopairs also for the civil users opens new possible fields of application among which the automatic extraction of digital models of the surface, the stereoscopic restitution, as well as the possibility to appraise changes and transformations of areas following catastrophic events, as for instance seismic events. In this last case, obviously, as for all the monitoring studies, it is necessary to effect a comparison with the situation before the event.
The Publish/Subscribe Internet Routing Paradigm (PSIRP): Designing the Future Internet Architecture
Authors: Tarkoma Sasu  , Ain Mark  , Visala Kari
Published: February 2025

Despite its success, the Internet is suffering from several key design limitations, most notably the unification of endpoint locators and identifiers, and an imbalance of power in favor of the sender of information. The unfavourable consequences are that the full range of possibilities offered by the Internet may not be fully realized and trust in its proper operation has been significantly weakened. In this paper, we introduce the Publish/Subscribe Internet Routing Paradigm (PSIRP) and present an architectural redesign of the global Internet based on an information-centric publish/subscribe (pub/sub) communication model. Through its application of pub/sub communications and efficient network design emphasizing end-to-end trust, we believe that the PSIRP-reengineered Internet may resolve many of the problems plaguing the current Internet and provide a powerful and flexible network infrastructure with a high degree of resiliency.
User-Centric Future Internet and Telecommunication Services
Authors: Baladrón Carlos  , Aguiar Javier  , Carro Belén  , Goix Laurent-Walter  , León Martín Alberto  , Falcarin Paolo  , Sienel Jürgen
Published: February 2025

This paper analyses the current service creation trends in telco and Web worlds, showing how they are converging towards a future Internet of user-centric services embracing typical telco capabilities. The OPUCE platform is presented as the next step towards this integrated, user-centric future: a platform which offers intuitive tools for graphical service creation aimed at individuals with no specific skills in computer science or programming and a service-oriented execution environment capable of a seamless interoperation of Web Services and telco applications based on operator-owned infrastructure. The OPUCE platform is compared to existing mashup creation tools to show its advantages and how is compared to existing mashup creation tools to show its advantages and how it could be used to implement a converged and open service marketplace for the Future Internet.
Securing wireless sensor networks towards a trusted “Internet of Things”
Authors: Zahariadis Theodore  , Trakadas Panagiotis  , Leligou Helen  , Papadopoylos Kostas  , Ladis Evangelos  , Tselikis Christos  , Vangelatos Charalampos  , Besson Lionel  , Manner Jukka  , Loupis Michalis  , Alvarez Federico  , Papaefstathiou Yannis
Published: February 2025

Wireless Sensor Networks (WSN) are quickly gaining popularity due to the fact that they are potentially low-cost solutions, which can be used in a variety of application areas. However, they are also highly susceptible to attacks, due to both the open and distributed nature of the network and the limited resources of the nodes. In this paper, we propose a modular, scalable, secure and trusted networking protocol stack, able to offer self-configuration and secure roaming of data and services over multiple administrative domains and across insecure infrastructures of heterogeneous WSNs. The focus is on trusted route selection, secure service discovery, and intrusion detection, while critical parts of the security functionality may be implemented in low-cost reconfigurable hardware modules, as a defense measurement against side channel attacks.
Feature Interaction as a Context Sharing Problem
Authors: Nhlabatsi Armstrong  , Laney Robin  , Nuseibeh Bashar
Published: February 2025

We argue that the feature interaction problem arises primarily from sharing of context and hence features should be structured and analysed through a notation that makes context explicit. We support this argument with three sets of evidence. Firstly, we express feature interaction through Zave and Jackson's entailment relation. With the entailment relation, we structure a feature as a relation between three sets of descriptions: requirement, context, and specification. We show that feature interactions arise due to shared context. Secondly, we examine the literature on sources of feature interactions and conclude that inconsistencies between requirements are ultimately manifested on shared context. Finally, we study feature interaction taxonomies and show that in the characterisation of feature interactions in taxonomies, context sharing is central.
Problem-Solution Feature Interactions as Configuration Knowledge in Distributed Runtime Adaptations
Authors: Sanen Frans  , Truyen Eddy  , Joosen Wouter
Published: February 2025

Current generative programming approaches use configuration knowledge to automatically manufacture an end product given a particular requirements specification. Such configuration knowledge models feature interactions either in the problem domain (at the requirements level) or in the solution domain (at the implementation level). Thus, feature interactions are defined as a composition problem in one specific phase of the generative programming lifecycle. However, we experienced the need to model and handle feature interactions that cross the problem and solution domain. This paper presents a specific case study, in the context of our work on distributed runtime adaptation, motivating this important but often ignored category of problem-solution feature interactions.
Formal Analysis of Smart Home Policies using Compositional Verification
Authors: Khakpour Narges  , Sirjani Marjan  , Jalili Saeed
Published: February 2025

Smart spaces contain a large number of computing devices communicating with each other to perform various high-order tasks. They are governed by predefined policies that users can put according to their preferences. In this paper, we investigate the policy interaction problem beyond the smart home domain. We use a formal method for detecting dynamic conflicts between policies. First, we give an abstract model of the system described with an actor-based language. Then, we identify different kinds of conflicts that may exist among policies in smart home domain. To reduce the complexity of model checking, we use compositional verification as well as data abstraction techniques.
Using Data Mining Techniques to Support the Creation of Competence Ontologies
Authors: Ziebarth Sabrina  , Malzahn Nils  , Hoppe H. Ulrich
Published: February 2025

Skills and competence requirements in the IT and media sector are changing dynamically at a high rate. This makes the “manual” adjustment of domain ontologies for this area hardly feasible, so that there is a need for automatic or semi-automatic techniques to update such knowledge bases. Several data mining techniques have been applied to different collections of job offers from this field to test and exemplify the feasibility of this approach. The results are encouraging and will be used to support decisions in professional development.
Predicting Stress Level Variation from Learner Characteristics and Brainwaves
Authors: Heraz Alicia  , Jraidi Imène  , Chaouachi Maher  , Frasson Claude
Published: February 2025

It is very common that students fail their exam because of an excessive stress. However, an attitude with no stress at all can cause the same thing as stress can be beneficial in some learning cases. Studying the stress level variation can then be very useful in a learning environment. In this paper, the aim is predicting the stress level variation of the learner in relation to his electrical brain activity within an experiment over two days. To attain that goal, three personal and non-personal characteristics were used: gender, usual mode of study and dominant activity between the first and second day. 21 participants were recruited for our experiment. Results were very encouraging: an accuracy of 71% was obtained by using the ID3 machine learning algorithm.
Liquefaction evaluation based on CPTu soil classification chart
Authors: Ahmadi M.M.  , Eslami A.  , Kangarani M.R.
Published: February 2025

Liquefaction is one of the most serious geotechnical hazards that may cause irreparable and financial damages. Based on in-situ testing results, several methods have been developed to evaluate the liquefaction potential. Due to continuous and repeated records, the piezocone (CPTu) has gained wide acceptance among other in-situ tests in geotechnical practice. In this paper, a new approach is proposed for liquefaction potential evaluation based on CPTu results. The new approach is verified by ten CPTu soundings (case histories) derived from different sites. By analyzing the liquefied sites, an area on the soil classification charts was introduced in this paper, showing the soil types which are most susceptible to liquefaction. The results of liquefaction prediction by this proposed approach demonstrate good accuracy and consistency with other current methods.
Application of Computed Tomography technology for exploration of deep underground cavities and solution features
Authors: Chiu S.L.  , Lam T.S.  , Yu Harry W.P.
Published: February 2025

This paper presents a case of the application of Computed Tomography (CT) technology on detection of underground solution features and cavities for a commercial development site in WuXi, People Republic of China. Three high-rise commercial buildings of height 340m, 155m and 90m respectively, with a basement of 20m deep were proposed to be constructed. From the results of preliminary and detailed ground investigation, it was revealed that the rock head was about 85m below ground. However, solution features and cavities of various sizes were present in the first 60m below the rock head level. Such solution features and cavities are vulnerable and prone to collapse when subjected to the imposed building loads.
Les fondations du Pont de Radès La Goulette (Tunisie): reconnaissances, conception et essais de pieux
Authors: Guilloux A.  , Berthelot P.  , Zaghouani K.  , Schlosser F.
Published: February 2025

La communication présente la démarche de conception adoptée pour les fondations du pont de Radès La Goulette en Tunisie. Cet ouvrage est situé dans le lac de Tunis, avec de très grandes épaisseurs d'argiles molles à fermes. Le projet initial prévoyait des pieux de 100 m de profondeur, mais les difficultés de réalisation ont conduit à ramener leur longueur à 75 m, grâce à des essais de chargement en vraie grandeur, couplés avec des modélisations avancées du comportement des fondations, notamment en terme de déformabilité.
Development and field verification of borehole roughness profiler for drilled shafts
Authors: Park B.G.  , Nam M.S.  , Choi Y.
Published: February 2025

Based on recent studies on rock socketed drilled shafts, the side resistance of rock socketed drilled shafts was affected by unconfined compressive strength of rock as well as borehole roughness. Since existing roughness measurement systems could be conducted only in the air, a new roughness measurement system, which can measure rock socket roughness in the air and also in the water, has been needed, and developed in this study as called the BKS-LRPS(Backyoung-KyungSung Laser Roughness Profiling System), For the field verification of the BKS-LRPS, it applied to measure borehole roughness and vertical alignment on 6 drilled shafts in order to verify the stability of the BKS-LRPS against several field conditions, which were the effect of measuring unit shaking, the application of water/air calibration factors, and the resistance of high water pressure inside piles, and various turbidity. Based on the results of the field verification, vertical alignments for all drilled shafts could be measured by the BKS-LRPS. However, borehole roughness was not able to measure due to high turbidity caused by RCD drilling processing. Based on the BKS-LRPS field verification, the BKS-LRPS is the first borehole roughness and vertical alignment measurement system applying both in the water and air.
An investigation on the dilative behavior of crushed rock
Authors: Kalantary F.  , Jahangiri Maamouri S.
Published: February 2025

The dilative behaviour of a number of crushed rock samples tested in large triaxial apparatus under different confining pressures is reviewed and the dependency of dilatancy angle on material characteristics and test condition is studied.