bluuebunny/crossref_metadata_2025 huggingface dataset:
Privacy Rule Definition Language – A Multi-stakeholder Approach to ENDORSE Privacy
Authors: Kurz T.  , Ruecker C.  , Lampoltshammer T.J.  , Heistracher T.
Published: February 2025

The right of privacy of personal data is fundamental to democratic societies and self-determined individua. The legal fundamentals regarding personal data privacy, however, are not reflected in current technology platforms or data processing systems like databases in a systematic way that is entirely transparent to all the users of such systems. This work introduces PRDL (Privacy Rule Definition Language) as a basis for user-oriented notation of data processing rules that can be automatically processed by IT systems to certify data protection compliance in the long run.
System for Detection of Illegal Drugs E-Trading
Authors: Abramowicz Witold  , Stolarski Piotr  , Filipowska Agata  , Perkowski Bartosz  , Węcel Krzysztof
Published: February 2025

The paper presents general assumption and the method for system architecture development of the ongoing project Semantic Monitoring of Cyberspace (SMC). Objective of SMC is to design and deploy a tool to support tracking of trade of illegal chemical substances by continuous semantic monitoring of Web 2.0 sources such as forums, thematic news portals, etc.
Introduction: Present and Future Trends of Online Access to Legal Information
Authors: Biasiotti Maria Angela  , Faro Sebastiano
Published: February 2025

This paper introduces the topic of online access to legal information, giving a brief overview of the historical process and of current debate, presenting the contributions collected in the Volume.
Shared Service Centres: an Ideal Solution for Fragmentation or a Fairytale?
Authors: Post Ruth
Published: February 2025

Within the Dutch central government several initiatives have been taken to establish shared services centres (SSCs) in order to reduce the level of fragmentation. However, is the level of fragmentation decreased by establishing SSCs and was avoiding fragmentation the only motive of the initiators, or can we distinguish other motives as well? Based on two case studies, I concluded that at first sight the level of fragmentation is decreased by establishing SSCs. However, by establishing SSCs new problems concerning fragmentation could arise between the ministries and the SSCs. Moreover, avoiding fragmentation was not the only motive of the initiators; they also intended to enlarge their power in relation to other ministries.
Towards a Protocol to Measure the Social Media Affordances of Web Sites and Business Intelligence Systems
Authors: Sathyanarayana Preethi  , Tran Phung Nguyen Kim  , Meredith Rob  , O'Donnell Peter
Published: February 2025

This short paper presents an overview of the development of an analysis protocol for measuring the level of support for Web 2.0 affordances in web sites and other social information technology systems. The protocol will be used to validate a framework for understanding business intelligence 2.0 tools, as well as providing an empirical basis for a general definition of the Web 2.0 concept.
Mesenchymal Stem Cells in the Treatment of Cartilage Lesions
Authors: Djouad Farida  , Guérit David  , Maumus Marie  , Jorgensen Christian  , Noël Danièle
Published: February 2025

Multipotent mesenchymal stromal cells or mesenchymal stem cells (MSCs) are the progenitor cells of skeletal tissues and are isolated principally from bone marrow or fat tissue. They are currently being evaluated for tissue engineering applications due to their potential of multilineage differentiation towards bone, cartilage and fat tissue. More recently, they have gained interest based on their immunomodulatory properties and are being tested in various clinical trials aiming at modulating the host immune response in graft-versus-host disease or autoimmune diseases. The clinical applications of MSCs for rheumatic diseases are focusing on their potential to help tissue repair/regeneration and to prevent inflammation. The aim of the present review is to focus on the mechanisms by which MSCs might exhibit a therapeutic potential in cartilage repair strategies.
A Review Method of Requirements Analysis Model in UML with Prototyping
Authors: Ogata Shinpei  , Matsuura Saeko
Published: February 2025

Prototyping is known as a method to effectively validate the requirements. Especially a prototype system has effect to validate the functional aspects such as operation steps, input/output data, relation between input and output on the external aspects of a system such as user interface. However, such prototype system provides weak support to check the correctness of internal aspects of a system such as business logic. Therefore, we have proposed a review method to check the correctness of the internal aspects based on requirements specification which is created by using model driven requirements analysis method employing automatic generation of prototype system. We aim to remove the defects such as the inconsistency among several different functions or the omission of data structure at an early stage of development. In this paper, the effectiveness of our review method was confirmed by applying this method into the development of Library Management System in a laboratory.
Multi-Level Human Robot Interaction by Aligning Different Ontologies
Authors: Kobayashi Shotaro  , Yamaguchi Takahira
Published: February 2025

This paper discusses how to align different kinds of ontologies: Japanese Wikipedia Ontology, Behavior Ontology and Robot Kinematics Ontology with built-in software, in order to design Multi-Level HRI (Human Robot Interaction). The multi-level interaction includes three-way interactions: knowledge-level interaction with dialog and fact type QA, behavior-level interaction between a user and a humanoid robot, and task-level interaction with multi robot coordination to do a task given from a user. Japanese Wikipedia Ontology works for language-level interaction, Behavior Ontology works for bridging the gaps between human behavior and robot one. Robot behavior goes well with Robot Kinematics. More complicated interaction can be done where three-way interactions invoke each other. Case studies show us that children in elementary school and elder persons enjoy the Multi-Level HRI.
Tools for Finding Inconsistencies in Real-world Logic-based Systems
Authors: McAreavey Kevin  , Liu Weiru  , Miller Paul  , Meenan Chris
Published: February 2025

Currently there is extensive theoretical work on inconsistencies in logic-based systems. Recently, algorithms for identifying inconsistent clauses in a single conjunctive formula have demonstrated that practical application of this work is possible. However, these algorithms have not been extended for full knowledge base systems and have not been applied to real-world knowledge. To address these issues, we propose a new algorithm for finding the inconsistencies in a knowledge base using existing algorithms for finding inconsistent clauses in a formula. An implementation of this algorithm is then presented as an automated tool for finding inconsistencies in a knowledge base and measuring the inconsistency of formulae. Finally, we look at a case study of a network security rule set for exploit detection (QRadar) and suggest how these automated tools can be applied.
Combining DRA and CYC into a Network Friendly Calculus
Authors: Chipofya Malumbo
Published: February 2025

Qualitative spatial reasoning is usually performed using spatial calculi specially designed to represent certain aspects of spatial knowledge. However most calculi must be adapted for use in applications where additional constraints are at play. This paper combines the DRA and CYC algebras into a new calculus for reasoning within network structures. In the process we prove some interesting results about some properties of the standard operations, converse and composition, for versions of CYC and DRA.
An Anytime Algorithm for Finding the ϵ-Core in Nontransferable Utility Coalitional Games
Authors: Hines Greg  , Rahwan Talal  , Jennings Nicholas R.
Published: February 2025

We provide the first anytime algorithm for finding the ϵ-core in a nontransferable utility coalitional game. For a given set of possible joint actions, our algorithm calculates ϵ, the maximum utility any agent could gain by deviating from this set of actions. If ϵ is too high, our algorithm searches for a subset of the joint actions which leads to a smaller ϵ. Simulations show our algorithm is more efficient than an exhaustive search by up to 2 orders of magnitude.
Concepts, Agents, and Coalitions in Alternating Time
Authors: Jamroga Wojciech
Published: February 2025

We consider a combination of the strategic logic ATL with the description logic ALCO. In order to combine the logics in a flexible way, we assume that every individual can be (potentially) an agent. We also take the novel approach to teams by assuming that a coalition has an identity on its own, and hence its membership can vary. In terms of technical results, we show that the logic does not have the finite model property, though both ATL and ALCO do. We conjecture that the satisfiability problem may be undecidable. On the other hand, model checking of the combined logic is decidable and even tractable. Finally, we define a particular variant of realizability that combines satisfiability of ALCO with model checking of the ATL dimension, and we show that this new problem is decidable.
Discovering Cross-language Links in Wikipedia through Semantic Relatedness
Authors: Penta Antonio  , Quercini Gianluca  , Reynaud Chantal  , Shadbolt Nigel
Published: February 2025

Wikipedia is a large multilingual collection of interlinked articles, used and contributed by millions of users over the Internet, that provides editions in up to 283 languages. Two articles in different language versions of Wikipedia may have information on the exactly the same concept, in which case they are often connected through a cross-language link. However, many cross-language links are either missing or incorrect and this negatively affects both the readers of Wikipedia and multilingual information retrieval applications. In this paper, we propose WIKICL, an algorithm for discoverinrg cross-language links using the semantic relatedness of two articles derived from the Wikipedia graph structure. Our evaluation shows that we achieve comparable, and in some cases, better results than previous methods with much less computational time .
Synonymy Extraction From Semantic Networks Using String and Graph Kernel Methods
Authors: vor der Brück Tim  , Wang Yu-Fang Helena
Published: February 2025

Synonyms are a highly relevant information source for natural language processing. Automatic synonym extraction methods have in common that they are either applied on the surface representation of the text or on a syntactical structure derived from it. In this paper, however, we present a semantic synonym extraction approach that operates directly on semantic networks (SNs), which were derived from text by a deep syntactico-semantic analysis.
Mining Extremes: Severe Rainfall and Climate Change
Authors: Das Debasish  , Kodra Evan  , Obradovic Zoran  , Ganguly Auroop R.
Published: February 2025

Theoretical developments for the analysis and modeling of extreme value data have tended to focus on limiting cases and assumptions of independence. However, massive datasets from models and sensors, space-time dimensionality, comp dependence structures, long-memory, long-range and low frequency processes all motivate the need for sophisticated methods for correlated and finite data that follow complex processes. The importance of extremes has been rapidly growing in areas ranging from climate change and critical infrastructures to insurance and financial markets. Here we briefly discuss the state-of-the-art and key gaps, through the case of rainfall extremes under climate change. Preliminary analysis suggests new directions and points to research areas that deserve further attention.
Practical Reformulations With Table Constraints
Authors: Lhomme Olivier
Published: February 2025

The constraint programming practioners are often facing the same modeling questions. In this paper, we start with several such recurring questions on the use of table constraints, and we present efficient reformulations.
An Alternative Eager Encoding of the All-Different Constraint over Bit-Vectors
Authors: Surynek Pavel
Published: February 2025

A novel eager encoding of the ALLDIFFERENT constraint over bit-vectors is presented in this short paper. It is based on 1-to-1 mapping of the input bit-vectors to a linearly ordered set of auxiliary bit-vectors. Experiments with four SAT solvers showed that the new encoding can be solved order of magnitudes faster than the standard encoding in a hard unsatisfiable case.
Consideration on the Relationship between Changes in Learners’ Learning Preferences and the Differences in e-Learning Modes of a Course
Authors: Nishino Kazunori  , Mayumi Tetsuo  , Iribe Yurie  , Mizuno Shinji  , Ogawa Nobuyuki  , Yajima Kuniaki  , Aoki Kumiko  , Fukumura Yoshimi
Published: February 2025

This paper investigates how the three e-learning modes (traditional, room-based synchronous, and metaverse-based) affect the learners’ learning preferences before and after completing the study. The authors found out that the students who took the rooom-based synchronous e-learning mode tended to show the low course adaptability overall while their preferences for asynchronous learning and the use of information and communication technologies (ICT) changed negatively after completing the study. In addition, the students’ preferences for asynchronous learning as well as the use of ICT turned negative after completing the study in the metaverse-based environment.
Chance discovery and black swan: from the viewpoint of abduction and affordance
Authors: Abe Akinori
Published: February 2025

In this paper, I briey review chance discovery and Black Swan theory, and several viewpoints of unusual economical situation by Rajan and Posner. Then I discuss how to discover the better chance from the viewpoint of abduction and affordance, and give a formalization.
Utilization of Soft Computing Techniques for Making COMMONS GAME Much More Exciting
Authors: Baba Norio  , Arase Yuta  , Takeda Masaki  , Handa Hisashi
Published: February 2025

Recently, we suggested that soft computing techniques such as NNs, MOEA-II, and FEP could be utilized for making educational games much more exciting. In this paper, we present game playing results of the original COMMONS GAME and two kinds of the modified COMMONS GAME having been carried out in several universities in Kansai area in Japan. These gaming results suggest that the modified COMMONS GAMES utilizing soft computing techniques such as NNs, MOEA-II, and FEP is by far the best in order to be utilized for letting people consider seriously about the “COMMONS” issue which is quite important not only for human beings but also all of the creatures in this planet.
The Inuence of Sales Areas and Bargain Sales on Customer Behavior in the Grocery Store
Authors: Sano Natsuki  , Yada Katsutoshi
Published: February 2025

Because of developments in Radio Frequency Identification (RFID) technology, data about customers’ movement paths in the grocery store are now available. In this paper, we propose a customer behavior model in the grocery store using RFID data. The proposed model is based on a nonhomogeneous hidden Markov model with covariates, and “Stop” and “Pass by” behaviors are estimated. The purchase probability of each behavior is confirmed, and we find that customers often purchase with high probability when the behavior is “Stop.” In addition, we examine the influence of sales areas and bargain sales on customer behavior by using these variables as covariates. We find that certain sales areas have strong effects on the “Stop” behavior. We confirm that these sales areas are arranged along the perimeter of the store or in the central aisle; the obtained knowledge corresponds to empirical knowledge.
C-means Clustering of Lattice Auto-Associative Memories for Endmember Approximation
Authors: Urcid Gonzalo  , Ritter Gerhard X.
Published: February 2025

This paper describes a hybrid technique for reducing the number of potential hyperspectral endmembers determined from the min-WXXand max-MXXlattice auto-associative memories. Given a set X of pixel spectra we first compute vector data sets obtained from shifted versions of WXXand MXX. In a second step, application of hard or fuzzy c-means clustering to the column vectors derived from WXXand MXXlowers the number of candidate endmembers and cluster centroids are approximations to final endmembers. Some validation indexes are computed on generated clusters to provide guidance in finding the number of endmembers required to unmix a hyperspectral image. Examples are given to illustrate how our proposed hybrid technique can be applied in the analysis of hyperspectral imagery.
A Semilattice Approach towards Sparsely Connected Associative Memories
Authors: Sussner Peter  , Valle Marcos Eduardo
Published: February 2025

Mathematical morphology (MM) on complete lattices provides the theoretical basis for certain lattice computing models called morphological neural networks (MNNs). Morphological associative memories (MAMs) that are among the most widely known MNN models usually perform operations in the extended integer or real numbers or in the class of fuzzy sets (in which case we speak of fuzzy morphological associative memories) but can also be defined in more general complete lattice structures. Moreover, the relatively recent theory of MM on complete semilattices can be employed as a mathematical framework for novel (morphological) associative memory models. In this paper we introduce a sparsely connected associative memory model based on complete semilattices capable of dealing with the computational requirements for storing multi-valued and large-scale patterns.We finish with some experimental results concerning the problem of storing and reconstructing gray-scale as well as color images.
Optimized segmentation of Brain MRI using GHSOM and evolutive computing
Authors: Ortiz Andres  , Gorriz Juan M.  , Ramirez Javier  , Salas-Gonzalez Diego
Published: February 2025

Image segmentation aims to partition an image into its constituent parts. In Magnetic Resonance Imaging (MRI), image segmentation groups the voxels belonging to a specific tissue or fluids. Currently, this is an essential step in MRI analysis and provides a way to diagnose many neurological disorders such as the Alzheimer disease. In this paper we present a segmentation method for MRI based on the Growing Hierarchical Self-Organizing Map and multiobjective-based feature selection to optimize the performance of the segmentation process. Since the features extracted from the image result crucial for the final performance of the segmentation process, the optimized features which maximize the performance of the segmentation process on each plane are used. The experiments performed have been carried out using the Internet Brain Segmentation Repository (IBSR) as it has been widely used in previous works. Thus, the comparisons with other methods carried out using the IBSR database, show that our method outperforms other algorithms.
Overlapping Community Detection in VCoP using Topic Models
Authors: Muñoz Ricardo  , Ríos Sebastián A.
Published: February 2025

Identification of communities in social networks has become a hot research topic in recent years. Many algorithms have been designed to discover networks’ community structure. Most of these algorithms detect disjoint communities, which means that every community member belongs to a single community. These models do not consider that a person may have more than one interest. Thus, lately, a few methods have been designed to find overlapping communities. But most researchers have either emphasize to solve this problem on computing network’s structural properties, or using graphical models for the community extraction process, where structural properties of networks are not considered. However, when end users are connected with each other by documents, posts or comments it is not possible to ignore underlying informations’ semantics from these texts. In this paper, we propose a novel approach to combine traditional network analysis methods for overlapping community detection with topic-model based text mining techniques.
Dishonest Arguments in Debate Games
Authors: Sakama Chiaki
Published: February 2025

In this paper we consider a debate game between two players in which a player may provide false or inaccurate arguments as a tactic to win the game. We formulate a debate game using a formal argumentation framework and investigate situation where a player may provide dishonest arguments in the game. We also argue how a player can detect dishonest arguments of the opponent player.
The thinking eye is only half the story: High-level semantic video surveillance
Authors: Musik Christoph
Published: February 2025

An increase in video surveillance systems, paired with increased inquiry for efficiency, leads to the need of systems which are able to process and interpret video data automatically. These systems have been referred to as ‘algorithmic video surveillance’, ‘smart CCTV’, or ‘second generation CCTV surveillance’. This paper differentiates and focuses on ‘high-level semantic video surveillance’ by referring to two case studies: Facial Expression Recognition and Automated multi-camera event recognition for the prevention of bank robberies. Once in operation these systems are obscure, therefore, the construction process of high-level semantic VS is scrutinized on the basis of a ‘technology in the making’ approach.
Time to gear up for a second generation of eGOV foresight
Authors: Rossel Pierre
Published: February 2025

Over ten years of e-Government and foresight companionship have produced interesting views, proposals and debates. In a first chapter, we will claim that key stakes, however, are no so much how we can head to better e-Gov formulas for the future, but how to think about it. Conventional tools may do the work, but provided they are inserted into a dynamic open-ended perspective where foresight is not just servicing mainstream thinking. In the second chapter, we will examine how past studies have contributed to configure a stimulating learning pathway, gradually enhancing the way e-Gov foresight is envisaged and tied with concrete choice-making and policy relevance. In the third chapter, we sort out the key pending issues that need to be absolutely addressed as part of the e-Gov debate in the coming years, with blueprint provisions to go ahead in this domain, and we conclude by emphasizing the challenges to be coped with, small and large, technical and political, that will eventually make a difference.
Experiential Human-Computer Interaction in Collaborative Designing of Software Intensive Systems
Authors: Sosnin Peter
Published: February 2025

This paper presents the experience-oriented approach to the use of the individual and collective experience in the collaborative designing of software intensive systems. Means of the approach help any designer to interact with the accessible experience the typical units of which are precedents and their models. Moreover, means support the intense designer activity which is accompanied by the experiential learning in the team of designers. The approach is evolved till the tested workflows with corresponding toolkit. Workflows are presented as pseudo-code programs adjusted to their executing by designers each of which plays a role of an intellectual processor. The activity of the intellectual processor is being implemented with using the question-answer forms of experiential human-computer interactions.
Planning of supply chain risks in a make-to-stock context through a System Dynamics approach
Authors: Gallo Mosè  , Aveta Paola  , Converso Giuseppe  , Santillo Liberatina Carmela
Published: February 2025

This paper proposes a System Dynamics approach to manage supply risks. In Supply Chain Risk Management field tools such as modeling and computer simulation are assuming an increasingly important role in supporting strategic, tactical and operational business decisions. In particular, these are applied to the risk sharing phase and to evaluate appropriate management and mitigation strategies. In a company's perspective, a SD approach provides a reading key of reality through an analysis of how policies and decisions influence and are influenced by the environment and how these impact on dynamics of available resources. In this context a model to assess supply risks has been defined. This model considers the operational characteristics of a generic company operating in its supply chain environment, and their interactions. This problem has been approached through several steps with an increasing level of detail. We start by decomposing the supply risk problem in its subparts, in order to understand the mechanisms making this system complex. The simulation based approach proposed here allows to carry out an analysis and subsequent mitigation of supply risks, furthermore providing some counterintuitive advices in order to maximize company's profitability.
Adaptation of Morpheme-based Speech Recognition for Foreign Entity Names
Authors: Mansikkaniemi André  , Kurimo Mikko
Published: February 2025

In this work we study a set of adaptation methods for improving the recognition accuracy of foreign entity names in morph-based speech recognition for Finnish. Supervised forms of language model and lexicon adaptation are evaluated. Morpheme adaptation is performed by restoring over-segmented foreign words back into their dictionary forms. This is important for determining the correct pronunciation. To further improve pronunciation modeling of foreign words, non-native phonemes are included in the acoustic model by augmenting the training set with English sentences spoken by native Finnish speakers. English phonemes which don't have any close native counterpart are included into the Finnish phoneme set. A combination of language model, acoustic model, pronunciation and morpheme adaptation produces the lowest error rate for foreign entity names. We also performed tests to determine whether improved recognition of foreign words improves performance of a spoken document retrieval task. We were unable to verify any significant improvements. However, the test queries in this particular material included few foreign words, so a big performance improvement wasn't expected.
MT Adaptation for Under-Resourced Domains – What Works and What Not
Authors: Pinnis Mārcis  , Skadiņš Raivis
Published: February 2025

In this paper the authors present various techniques of how to achieve MT domain adaptation with limited in-domain resources. This paper gives a case study of what works and what not if one has to build a domain specific machine translation system. Systems are adapted using in-domain comparable monolingual and bilingual corpora (crawled from the Web) and bilingual terms and named entities. The authors show how to efficiently integrate terms within statistical machine translation systems, thus significantly improving upon the baseline.
Knowledge Acquisition Tool for Dialogue Systems
Authors: Sirel Raul
Published: February 2025

Knowledge base construction for dialogue systems is a time-consuming process which requires considerable amount of attention from engineers. In this paper a tool for acquiring knowledge for dialogue systems is presented. The tool has been developed to facilitate the knowledge base creation process and utilizes adjacency pairs (or Frequently Asked Questions pairs) as an input. The tool uses three simplistic text-mining algorithms for finding keywords from input pairs and outputs keywords-answer pairs to be used by knowledge engineer or dialogue system developer in the process of knowledge base construction.
Practical Relay Attack on Contactless Transactions by Using NFC Mobile Phones
Authors: Francis Lishoy  , Hancke Gerhard  , Mayes Keith  , Markantonakis Konstantinos
Published: February 2025

Contactless technology is widely used in security sensitive applications, including identification, payment and access-control systems. Near Field Communication (NFC) is a short-range contactless technology allowing mobile devices to act primarily as either a reader or a token. Relay attacks exploit the assumption that a contactless token within communication range is in close proximity, by placing a proxy-token in range of a contactless reader and relaying communication over a greater distance to a proxy-reader communicating with the authentic token. It has been theorised that NFC-enabled mobile phones could be used as a generic relay attack platform without any additional hardware, but this has not been successfully demonstrated in practice. We present the first generic practical implementation of a contactless relay attack by using only NFC-enabled mobile phones, requiring only suitable mobile software applications. This implementation reduces the complexity of relay attacks and therefore has potential security implications for current contactless systems.
Design and Implementation of a Secure Prototype for EPCglobal Network Services
Authors: Shi Jie  , Li Yingjiu  , Deng Robert H.  , Chiew Kevin
Published: February 2025

Enabled by RFID technology, the EPCglobal network provides a platform for information sharing among supply chain partners. It is mainly composed of EPC information service (EPCIS), EPC discovery service (EPCDS), EPC object naming service (EPCONS) and other sub-systems, where EPCIS, EPCDS and EPCONS are collectively called EPCglobal network services. As the information collected and shared by supply chain partners is usually sensitive and valuable, scurity mechanisms should be provided in the EPCglobal network. However, to the best of our knowledge, there is a lack of secure prototypes for EPCglobal network services so far. In this paper, we aim at filling this gap. We design and implement a secure prototype for EPCglobal network services with a focus on the authorization mechanism.
Left-to-Right Recoded NAF* for RFID Tags
Authors: He Wei-Hua  , Chen Hung-An
Published: February 2025

Efficient implementations of cryptosystems are important for resourcelimited devices, e.g. RFID tags, to compute necessary cryptographic operations. To reduce the number of cryptographic operations, a signed digit representation for a scalar is the most useful method. A signed digit representation can reduce the nonzero density of the representation. King introduced a left-to-right representation called NAF* (non-adjacent form*) which nonzero density is the same as NAF and MOF (mutual opposite form). In this paper, we will propose a modified NAF*, and demonstrate that it is more efficient than the original NAF*. The recoding time of modified NAF* achieves at least 64.5% time reduction supported by simulation results.
Exponential ICT-Growth: will it last?
Authors: Sølvberg Arne
Published: February 2025

Over the years we have grown used to a 10-fold increase in computer hardware performance every 5 years. This exponential growth has been consistent with Moore's law. Around 2004 exponential performance growth at this staggering pace seemed to have reached a ceiling. The major reason for this was that further performance increases led to intolerable high levels of heat generation from the circuitry. A dominating challenge to future hardware designs is to limit the heat generation of the electronic circuitry while improving the overall computational performance. An important question is whether exponential performance growth can be expected also in the future, and at which pace. The paper contains a discussion of what parameters are important for the future development, and what can be expected in the future. The presentation is meant for a non-specialist audience.
Security and Composition of Cryptographic Protocols: A Tutorial
Authors: Canetti Ran
Published: February 2025

What does it mean for a cryptographic protocol to be “secure”? Capturing security properties of cryptographic protocols in a meaningful way is a slippery business: On the one hand, we want to guarantee that a security property holds in face of “all feasible attacks” against a protocol. On the other hand, we want our formalism to not be overly restrictive; that is, we want to accept those protocols that do not succumb to “feasible attacks”.
Query and Answer Forms for Sophisticated Database Interfaces
Authors: Berg Markus  , Düsterhöft Antje  , Thalheim Bernhard
Published: February 2025

Database querying is still based on programming languages. The user must learn the database programming language and the corresponding database schemata before asking a data question to the system. Programming languages use either the classical textual style or some kind of visualisation for queries (e.g., query-by-example or VisualSQL). Conceptual queries are first to be specified at the conceptual level, using concepts and languages easily understood by the application domain experts who must be qualified to validate the query.
GRMT: an Alternative Communication Tool for Individuals
Authors: Naruedomkul Kanlaya  , Cercone Nick
Published: February 2025

The use of machine translation (MT) is becoming much more pervasive and a quality translation is required. Constraint application is one key feature that makes a generated translation candidate in Generate and Repair Machine Translation (GRMT) very close to a perfect translation. Constraints represent syntactic differences between the source language (SL) and the target language (TL). These constraints are used to ameliorate syntactic differences between the SL and that of the TL, to refine the scope of translation choices of each input word, and to complete the syntax of the translation language.
Video Stabilization of Static Scenes Based on Robust Detectors and Fuzzy Logic
Authors: Favorskaya Margarita  , Buryachenko Vladimir
Published: February 2025

The technique of video stabilization removes intentional motions from video sequences caused by vibrations and other artifacts during a hand-held shooting. In this paper, the task of digital video stabilization of static scenes is investigated. Fuzzy logic is used for improvement of local and global motion estimations and determines the novelty of such approach. Three strategies were used for local motion estimations. They are based on two types of keypoint detectors and block-matching algorithm. The application of fuzzy logic operators improves the separation results between the unwanted motion and the real motion of rigid objects. The corrective algorithm compensates the unwanted motion into frames; thereby the static scene is aligned. The quality of test videos stabilization was estimated by PSNR (Peak Signal to Noise Ratio) and ITF (Interframe Transformation Fidelity) metrics. Experiments show that ITF average estimations increase on 5-11% relative to original video sequences.
Analysis of Opinions from Questionnaire Surveys of Farming Candidates using Cross Tabulation System
Authors: Okada Makoto  , Hirokawa Sachio  , Hashimoto Kiyota
Published: February 2025

In Japan, agricultural activation poses a big problem and the increase in new-entrants-to-agriculture persons is expected. This paper analyzes questionnaire surveys of those who want to start working in agriculture to figure out the difficulties and anxiety they have. The questionnaires consist of the categorical data, such as status of their willingness to be a farmer, their age and sex and the free texts that are written by person who answered several sets of questions. Categories and free text question items are considered as viewpoints in this paper. Two viewpoints are selected to construct a cross tabulation of a search result. The number of the questionnaires that matches the two conditions is displayed in the cell of the cross table. All possible cross tables can be shown as a result. A specified cross table is shown if the user determines a pair of viewpoints. This paper reports case studies which are hard to achieve by simple keyword search.
Characteristics of Practical Nursing Knowledge from Biological Data
Authors: Maekawa Yasuko  , Majima Yukie  , Kawano Tsuneo  , Katagiri Mako
Published: February 2025

Nursing skills include many “Proficient skills” and “knacks”, it is said that the handing down them to new nurses is difficult because of their “tacit nature”. In this study, we devoted attention to biological data, such as the electroencephalographic (EEG) data, and their changes as a method for converting tacit knowledge into formal knowledge. We analyzed the characteristics, including the differences in the changing state of tension or concentration between nurses and beginners from the EEG data. In the experiment the participants were 2 nurses and 11 beginners who had no knowledge or experience of blood collecting skills. We divided the 11 beginners into two groups randomly to ascertain differences between Group 1 and Group 2. Group 1 comprised six beginners without a time limit for blood collection, whereas Group 2 comprised five beginners with a specific time limit (60 s). They performed blood collection skills 11 times each using an infusion and blood collection trainer (Adam, Rouilly Ltd.). We measured their EEG (in the prefrontal cortex area) at the time for comparison. For the analysis we used the β/α value as an indicator of tension and the &thgr;/α value as an indicator of concentration of this time from the brain waves, and compared the β/α values with the &thgr;/α values in each group (Group 1, Group 2, and nurses). Results revealed that nurses were in a state of concentration with calm during the performance with the predominant &thgr;/α value. The β/α values were predominant with most beginners from Group 1. In contrast, &thgr;/α values were predominant with most beginners from Group 2. Therefore, when beginners were given a time limit, they were able to concentrate on the sensitive task rather than become tense. Consequently, when beginners learn tense skills that demand physical aggression such as blood collection, some moderate limits are effective for beginners, especially in overly tense circumstances. We plan to analyze the differences between more nurses and more beginners and the processes by which beginners come to acquire proficiency, and to clarify characteristics of practical nursing knowledge.
IPsec VPN-Based Security of Web-Based Rich Multimedia Systems
Authors: Uskov Alexander
Published: February 2025

One of the major concerns of integrated utilization of Web-based rich multimedia systems and mobile computing technologies is a low security level of communications and transfer of confidential rich multimedia files over mobile networks. Virtual Private Network technology proved to be one of the most reliable technologies to provide data protection, confidentiality, integrity, data origin authentication, replay protection and access control in mobile computing. This paper presents the outcomes of research, design and development project on creation of secure communications in Web-based rich multimedia systems and performance analysis of encryption algorithms in cipher-block chaining mode in IPsec-based mobile virtual private networks.
Utilization of Past Remarks of Similar Speech Pattern as Advice for Collaborative Learning
Authors: Kojiri Tomoko  , Ohata Shuto  , Hayashi Yuki
Published: February 2025

In the collaborative learning in the distributed learning environment, discussion among learners is not always active because of learners' understanding levels or characteristics. Remarks that were triggers of the past active discussion, which is called discussion promotion remark, can also be effective in the current discussion situation whose speech patterns are similar. Thus, the objective of this research is to construct the system which utilizes discussion promotion remarks of the past collaborative learning as advice to solve current inappropriate situation. Discussion consists of various characteristics, so it is difficult to define appropriate speech pattern for each type of discussion promotion remark. This research introduces case-based reasoning approach to extract past discussion promotion remark which can solve current inappropriate situation. In this paper, the structure of discussion promotion remark database and its searching method is proposed.
Intelligent data retrieval with hierarchically structured information
Authors: Ţicleanu Oana  , Constantinescu Nicolae  , Ebâncă Daniel
Published: February 2025

Starting from the necessity of intelligent access to distributed hierarchically data we construct a system to categorize the users which want to connect to such an organization. The novelty of the solution consist in two factors: first is the way of hierarchy construction which is done not only by authentication and the second reside from the level of communication security.
Retrieval of Article-pages, Using Geometric Layout Relationships among Document Components
Authors: Yokoi Satoshi  , Yan Hong  , Watanabe Toyohide
Published: February 2025

We propose a retrieval method of article-pages by specifying the structural feature of page layout. Traditionally, keyword-oriented retrieval means have been used to select the appropriate article-pages from document databases or necessary data from many accumulated data resources: for example, the retrieval mechanism in Google is most popular and effective. However, keywords may be not applicable to retrieval means required for images because images cannot be always identified explicitly by particular words. Also, keywords are not useful for many foreigners who cannot make use of Japanese keywords familiarly in finding out Japanese materials, or for children who cannot remember the technical/difficult keywords easily because main words or phrases are not yet learned. On the other hand, our method is different from these traditional methods, and mainly focuses on the layout-based positions of non-text components in article-pages such as figures, tables, photographs, etc. Under such a layout-oriented approach, our research objective is to support partial-match search means based on human spatial cognition ability, so as to complement the traditional keyword-oriented means.
Solving Imbalance Data Classification Problem by Particle Swarm Optimization Support Vector Machine
Authors: Xu Zhenyuan  , Wu Mingnan  , Watada Junzo  , Ibrahim Zuwarie  , Khalid Marzuki
Published: February 2025

A database has a plenty of hidden knowledge, which can be used in decision making to support commerce, research and other activities. Classification analysis performs a very important rule in pattern recognition field as one core research topics. Algorithms like support vector machine (SVM) and artificial network (ANN) have been proposed to perform binary classification according to the distribution. But these traditional classification algorithms can hardly performs the satisfied result for imbalanced dataset. In this paper, we proposed to perform a model on the basis of Particle Swarm Optimization (PSO) and support vector machine (SVM) for a large imbalanced dataset. This model is named PSOSVC (Particle Swarm Optimization support vector classification) model. Recently, PSO is proposed used as a meta heuristic frame work for the large imbalanced classification. The SVM also shows high performance in balanced binary classification, so a novel model combined both support vector classification (SVC) and PSO is introduced to improve the classification accuracy. In this paper, G-mean is used to evaluate the final result. Performance in the final part of this paper the proposed method is compared with some conventional models, the results will show the high performance for imbalanced dataset classification by using the proposed method.
Nakhon Nayok Smart Province, to Accommodate Silver Society in Thailand
Authors: Srisarakam Surachai  , Tubtimhin Jirapon
Published: February 2025

Smart city evolves in every corner of the world to date. According to experts in the field, “Smart City” is a city well performing in a forward-looking way in economy, people, governance, mobility, environment and living, built on the smart combination of endowment and activities of decisive, independent and aware citizens. The government of Thailand is no exception. Its first effort on smart city initiative has begun with the province of Nakhon Nayok, a hundred kilometers from Bangkok to the north direction. The province has been endorsed by the government as a pilot project for local administration development. The Nakhon Nayok Smart Province (NYSP) project will be a development model of this kind to other provinces of the country.
An Approach for Sketch Retrieval Based on Qualitative Shape Similarity Matching
Authors: Museros Lledó  , Falomir Zoe  , Sanz Ismael  , Gonzalez-Abril Luis
Published: February 2025

An approach for a query-by-sketch system based on qualitative shape information for image retrieval in databases is proposed and evaluated. The use of qualitative methods for shape description allows the gathering of semantic information from the sketches. Therefore, in this paper the qualitative description and recognition of sketches is evaluated in order to verify that it is possible to use the qualitative methods here presented for the development of a learning application for children.
The Légilocal project: the local law simply shared
Authors: Amardeilh F.  , Bourcier D.  , Cherfi H.  , Dubail C.-H.  , Garnier A.  , Guillemin-Lanne S.  , Mimouni N.  , Nazarenko A.  , Paul È.  , Salotti S.  , Seizou M.  , Szulman S.  , Zargayouna H.
Published: February 2025

The Légilocal project aims to help local authorities to improve the quality, interoperability and publication of French local administrative acts in the same way as Légifrance does at the state and EU level. The originality of the approach is to unify the management of contents and the interactions between actors on these contents.The Légilocal platform combines various tools (content management, networking, semantic annotation and search) and resources to assist clerks in the drafting and publication of local acts.
Intellectual Property Rights and the Future of Universal Service Obligations in Communications
Authors: Jaag Christian
Published: February 2025

Network industries are traditionally strongly influenced by sectorspecific regulation, of which universal service obligations (USO) play a particularly important role. In these sectors, USO impact market forces by shaping competition asymmetrically. They also interfere with other regulations, such as intellectual property laws, which are of increasing importance in these industries. This interaction has become of interest in the postal sector due to its recent convergence with telecommunications and the emergence of innovative services at the interface of the two sectors. In free markets, the design of intellectual property right trades off investment incentives against market distortions due to (temporary) exclusive rights. USO distort competition and thereby affect the optimal solution of this trade-off. This paper discusses various aspects of the influence of patents on universal service provision. It also illustrates these effects by means of a simple model of an innovation race under asymmetric regulation, and with forced licensing to derive regulatory and policy implications to safeguard a cost-effective and consumer-oriented provision of universal services.
The New and Shifting Paradigm, e-Commerce and Its Future Impact
Authors: Spottiswood David
Published: February 2025

This paper discusses the shift in paradigm of logistics service providers (LSPs) in relation to the booming e-Commerce industry. It discusses the consumer pain points for online shopping, and the demand for LSPs to move upstream to provide retailers and e-Tailers with a full-service package.