bluuebunny/crossref_metadata_2025 huggingface dataset:
Group Behavior Recognition Issue, Feature Analysis on Defending Pick and Roll Basketball Move
Authors: Pozo Alberto  , Patricio Miguel A.  , García Jesús  , Molina José M.  , Refoyo Ignacio
Published: February 2025

The paper presents a group behavior representation and an application in the 2 vs. 2 basketball domain. Furthermore a set of forty features have been made from the raw information provided by the INEF12 Basketball Dataset. Moreover, from all these features we propose a selection using an algorithm to choose the best features to classify and predict the group behavior. The entire experimental test carried out with Hidden Markov Models algorithms could validate the proposed representation and features selection, in group behavior recognition and 2 vs. 2 basketball specific domain.
Aggregation of News Articles, being Time-dependent on Particular Topic
Authors: Tabuchi Yoshimune  , Koyanagi Yusuke  , Watanabe Toyohide
Published: February 2025

Currently it is not difficult for us to find out necessary news articles timely from Web information space. However, it is not always easy to search relevant news articles for a time-dependent sequence of events, related to some interesting topic. In this paper, we propose an aggregation method for collecting news articles, related to a time-dependent sequence of events for a particular topic. Our idea is to represent the topic as a pair of two different nouns and a set of related news articles on a time-dependent change of topic.
Focusing Target Estimation for Supporting Awareness of Individual Learning Activity in Collaborative Learning
Authors: Tanaka Junya  , Hayashi Yuki  , Kojiri Tomoko
Published: February 2025

In collaborative learning in virtual learning environments, because of the restrictions of the communication means, grasping the learning situations of others is difficult. Learning activities taken in individual spaces, such as taking notes or investigating unknown topics, are especially important for grasping the understanding situations of others. In this paper, we propose an awareness support interface that provides actions in individual spaces as awareness information. By noticing other learners’ individual activities, smooth and effective communication is promoted. Learners do not need the awareness information of all other learners all the time. They may see the actions of others who may provide effective information for them. Effective learners can be detected by the roles in the discussion. Therefore, in this paper, we propose a method for estimating the roles of learners in discussions. Then based on the estimated roles, the learner’s focus for acquiring actions in individual spaces is detected.
An Agent-Based Implementation of the Multiple Neighborhood Search for the Capacitated Vehicle Routing Problem
Authors: Barbucha Dariusz
Published: February 2025

The paper proposes a new hybrid approach for solving optimization problems, which integrates the multiple neighborhood search with a multi-agent paradigm. Using the multiple neighborhoods, explored by different heuristics during the search allows one to guide the search and avoid the reaching unsatisfactory results, whenever the search is getting trapped in a local optimum. On the other hand, a multi-agent architecture provides an effective mechanism for solving the problem in parallel. It also assures cooperation between agents (representing search methods) operating on a sharable population of solutions. In order to validate the proposed approach, a computational experiment has been carried out using instances of the capacitated vehicle routing problem.
Ontologically Aided Rule Model for the Implementation of ITIL Processes
Authors: Pastuszak Jarosław  , Czarnecki Adam  , Orłowski Cezary
Published: February 2025

The implementation of ITIL processes in IT organizations can be seen as a set of interdependent projects. The sequence of the ITIL implementation relies on such parameters as scope, depth, the capability of processes and the maturity of the organization. These factors can form common patterns of ITIL implementation that might be expressed as rules. Also—to semantically reinforce such a model in its predictiveness and replicativeness—the knowledge of on ITIL and the implementation rules may be presented as an ontology.
Advancing Knowledge Quality and Quantity in Knowledge Markets
Authors: Mancilla-Amaya Leonardo  , Szczerbicki Edward  , Sanín Cesar
Published: February 2025

Knowledge sharing practices have evolved from simple document archiving and retrieval, into more complex service-based environments supported by advances in Information Technology. As a result of this trend, market-based mechanisms have been proposed with the objective of fostering knowledge sharing, by setting reward mechanisms and motivate employees to share their know-how at a deeper level. Many of the reward schemes presented in literature consider quality as an attribute that gives value to knowledge, but do not provide details on how to measure it. This paper presents an agent-based market environment that measures quality and quantity in a semi-automatic way and uses these elements to set a value for organizational knowledge. This approach is part of the e-Decisional Community, an integrated knowledge sharing platform that aims at providing Knowledge as a Service (KaaS).
Multi-strategies Ontology Alignment Aggregated by AHP
Authors: Song Fuqi  , Zacharewicz Gregory  , Chen David
Published: February 2025

Ontology alignment is a critical issue for semantic integration and data interoperability. Many basic matching techniques have been proposed, the crucial point is how to combine different techniques to adapt the diverse sources of ontology. In this paper, we proposed to use three matchers with multiple strategies from perspective of label, semantic and structural aspects of ontology. A rule-based pre-process for identifying the core word with part-of-speech (POS) tagging is carried out before matching. Method Analytic Hierarchy Process (AHP) is applied to aggregate different matching results dynamically and automatically. The intensity of importance is determined by three similarity indicators, which reflect the essential features of source ontologies. This proposed approach shows strong matching ability, which obtained high precision and outstanding evaluation results in benchmarking experiment.
Analysis comparison between α wave and β wave at the learning status by simple electroencephalography
Authors: Yoshida Kouji  , Sakamoto Yuuta  , Miyaji Isao  , Yamada Kunihiro
Published: February 2025

We have been developing systems using distance learning and blended learning. However, no equipment has ever been able to measure human states easily. Inexpensive electroencephalogram sensors have become available lately, which enable us to measure electroencephalograms, to monitor human states thereby, and to obtain information easily as digital data. We analyzed the relation between α and β waves using this simple electroencephalograph. The results revealed that measurement of &beta/α enables us to evaluate the activity and vital activity of the human brain.
Towards a real time simulation of Linked Multi-Component Robotic Systems
Authors: Lopez-Guede Jose Manuel  , Fernandez-Gauna Borja  , Zulueta Ekaitz
Published: February 2025

The autonomous behavior learning in Linked Multicomponent Robotic Systems is an open issue. Single Robot Hose Transport is a limit case of this kind of systems, when one robot moves the tip of the hose to a desired position. The interaction between the passive, flexible hose and the robot introduces highly non-linear effects in the system’s dynamics thus making necessary the utilization of accurate geometrical and dynamical models. This paper reports the computational requirements that we have found using these models in a Reinforcement Learning framework and we address a possible solution to mitigate them.
Effective voxel selection method over FDG-PET database based on Association Rules
Authors: Chaves R.  , Ramírez J.  , Górriz J.M.  , Segovia F.
Published: February 2025

This work presents a novel feature selection method for Positron Emission Tomography (PET) images for the development of a computer aided diagnosis (CAD) system aiming to improve the early detection of the Alzheimer’s Disease (AD). Voxels are selected by means of the combination of the antecedents and consequents of Association Rules (ARs) which are mined from the Regions of Interest (ROIs) of controls by Apriori algorithm. In order to reduce the input space to the classifier, features are extracted using Principal Component Analysis (PCA) or Partial Least Squares (PLS) techniques. Finally, classification is performed by using a kernel Support Vector Machine (SVM) reaching accuracy rates of 90% outperforming other reported methods.
Ontologica: Exploiting Ontologies and Natural Language for Representing and Querying Railway Management Logics
Authors: Briola Daniela  , Caccia Riccardo  , Bozzano Michele  , Locoro Angela
Published: February 2025

This paper presents the “Ontologica” system, a forefront project born from a joint effort between university and industry in the design of advanced information systems. The aim of the project is twofold: to adopt ontologies and new technologies to manage the Centralized Traffic Control logic in a railway and all the rules making the physical elements of a rail station acting as desired; to improve the user interface with a mechanism to interact with the system using natural language queries. The first results we obtained are very promising. In this paper we discuss them, with the “Ontologica” rationale and architecture.
Automatically generating multilingual, semantically enhanced, descriptions of digital audio and video objects on the Web
Authors: Pereira Nunes Bernardo  , Mera Alexander  , Casanova Marco A.  , Kawase Ricardo
Published: February 2025

Every day, millions of new images, videos and audios are uploaded to the web. However, unlike text-based content, audio and video objects cannot be indexed by search engines. Thus, much valuable multimedia content stay unreachable for a great majority of online users. To overcome this problem we introduce a technique that automatically generates semantically enhanced descriptions of audio and video objects. The goal is to facilitate indexing and retrieval of the objects with the help of traditional search engines. Basically, the technique automatically generates static Web pages that describe the content of the digital audio and video objects, organized in such a way as to facilitate locating segments of the audio or video that correspond to the descriptions. The technique is a mashup ofWeb services that also provides translation of the descriptions and semantic enhancement. We thoroughly analyzed the click-data comparing accesses to the digital content before and after the automatic generation of the descriptions. The outcomes suggest that the technique significantly improve the retrieval of items, not only in terms of visibility, but also brings down language barriers, by supporting multilingual access.
Argumentation Games for Admissibility and Cogency Criteria
Authors: Bodanza Gustavo  , Tohmé Fernando  , Simari Guillermo R.
Published: February 2025

In this work, we develop a game-theoretic framework in which pro and con arguments are put forward. This framework intends to capture winning strategies for different defense criteria. In turn, each possible extension semantics satisfies a particular defense criterion. To ensure that only semantics satisfying given criteria are obtained, protocols for playing have to be defined, being the ensuing winning strategies full characterizations of the corresponding criteria. Admissibility and strong admissibility are two of those criteria proposed in the literature for the evaluation of extension semantics; here, we also introduce two weaker criteria, pairwise and weak cogency, for the evaluation of non-admissible semantics, and we define specific game protocolscapturing them.
Selecting Extensions in Weighted Argumentation Frameworks
Authors: Coste-Marquis Sylvie  , Konieczny Sébastien  , Marquis Pierre  , Ouali Mohand Akli
Published: February 2025

Recently, Dunne et al. [9,10] introduced the concept of WAF (Weighted Argumentation Framework). Such frameworks extend standard Dung's ones for abstract argumentation by associating weights with attacks. In the WAF setting, weights are used for relaxing extensions, which proves useful when there are too few extensions. In this paper, we exploit weights in a different perspective. We show how to take advantage of attacks weights within an argumentation process for selecting some extensions among Dung's ones, which proves useful when there are too many extensions, in order to improve the inferential power of the argumentation framework.
The silent growth of video surveillance in Italy
Authors: Fonio Chiara
Published: February 2025

This paper aims to analyze the growth of video surveillance in Italy through a focus on the legislative framework and the politics, in particular urban security policies. The paper explores whether the decentralization of security polices has impacted on the implementation of surveillance cameras within national urban contexts. A specific emphasis will also be given to the limited empirical data available, namely a qualitative research carried out in the city of Milan in 2005 [4]. Efforts are made to understand potential discrepancies between the national Data Protection Authority provisions on video surveillance and the reception of it by the camera operators. This contribution also seeks to shed light on “lost surveillance studies” [15] within a non-Anglophone framework in order to sketch out an approach to surveillance that differs from countries where the issue has been broadly explored (inter alia [21]).
The Stockholm Security Project: Plural policing, security and surveillance
Authors: Svenonius Ola
Published: February 2025

This article reports on the results of a study on surveillance and plural policing in the Stockholm public transport system. More specifically, it analyses a SEK 500 million (EUR 55 million) investment called The Security Project, through which the Stockholm public transport authority seeks to address a perceived security deficit among its passengers. At its core, the Security Project was an investment in Sweden's largest CCTV system, and many other surveillance measures. The article describes how surveillance became central to addressing security concerns in the Stockholm public transport system. It applies a diachronic case study methodology and uses a framework that highlights centralisation of governance networks and normative cohesion as means to study plural policing and surveillance. The article addresses current debates on these topics, primarily Coaffee's and Duijnhoven's recent work on urban security. It aims to show how the roles of the police, private security and surveillance practices in general have been altered by the Security Project, and how the project produced contradictory effects through centralisation on the one hand, and a maintained (chaotic) diversity of policing on the other.
CCTV in Spain: An empirical account of the deployment of video-surveillance in a Southern-European country
Authors: Galdon Clavell Gemma  , Lojo Lohitzune Zuloaga  , Romero Armando
Published: February 2025

Over the last two decades the use of video surveillance has grown in scope and numbers. However, research on the national contexts that have driven such developments tends to concentrate on Northern and Western Europe. This article explores the situation of CCTV in Spain, its legal framework, perceived shortcomings, public perceptions and specificity – such as a pre-9/11 concern for terrorism but its minimal impact on the justification for CCTV, a rights-based and a priori control of video surveillance devices and a deployment pattern that differs from those identified in the literature on CCTV at the European and global level. In providing an account on how Spain has joined the ‘surveillance society’, it exposes a picture of unevenness, legal loopholes and resistance, and provides a unique overview of CCTV deployment in a Southern-European, post-authoritarian country.
Enterprise Architecture Startup model for successful eGovernment for Post Conflict countries
Authors: Rana Vivek S.
Published: February 2025

This paper provides insight to trends on the subject of Enterprise architecture (EA) for e-Government, a proposes an EA model based on the research findings that address the existing gaps in post conflict countries to offer services effectively and efficiently leading to e-Governance. While there is much hype about EA success stories in developed countries, post conflict and developing countries are still struggling to understand and implement EA start-up model that could identify the main components of the Government, its information systems, and the ways in which these architectural components work together in order to achieve defined business objectives, and the way in which the information systems support the business processes of the Government given the global phenomena, such as globalization, cultural and ethnic challenges, liberalization and constant pressure to the State to face and react to pertinent changes. This paper surveys a number of such challenges and issues in Post conflict context and recommends a hybrid-model for EA that could appropriately respond to internal as well as external challenges.
A High-Level Programming Approach for Distributed Systems with Accelerators
Authors: Steuwer Michel  , Kegel Philipp  , Gorlatch Sergei
Published: February 2025

Application programming for modern heterogeneous systems which comprise multiple accelerators (multi-core CPUs and GPUs) is complex and error-prone. Popular approaches, like OpenCL and CUDA, are low-level and offer no support for the two most complicated issues: 1) programming multiple GPUs within a stand-alone computer, and 2) managing distributed systems that integrate several such computers. In particular, distributed systems require application developers to use a mix of different programming models, e.g., MPI together with OpenCL or CUDA. We propose a uniform approach based on OpenCL for programming both stand-alone and distributed systems with GPUs. The approach implementation is based on two parts: 1) the SkelCL library for high-level application programming on heterogeneous stand-alone computers with multi-core CPUs and multiple GPUs, and 2) the dOpenCL middleware for transparent execution of OpenCL programs on several stand-alone computers connected over a network.
Large-Scale Information Exchange: Breaking Views and Challenges
Authors: Grijpink Jan
Published: February 2025

This chapter introduces a systematic approach towards large-scale chain communication between autonomous organisations and professionals that cooperate to tackle social problems. This approach combines a specific chain perspective with a dynamic chain concept to better understand the complexities of large-scale social systems - with or without ICT – in a barely-manageable chain context. Many chain projects fail or falter and large-scale systems produce unexpected negative side-effects or even backfire. The example of the Dutch criminal law enforcement chain is used to explain how adversities and negative side effects can disrupt large-scale systems. This example stands as a model for other vital, large-scale systems, for instance identity management and health care. The underlying chain communication systems are important cornerstones of our future information society. Chain research at Utrecht University – now covering more than twenty chains in the Netherlands – has led to some valuable insights and breaking views that imply an ambitious agenda for public administration and information science.
Street Level Bureaucrats
Authors: Snellen Ig
Published: February 2025

In this chapter the question is raised what impact the transitions in public administration as a consequence of ICT developments, and especially of the shift from e-government to m-government, as the most important development of the last ten years, might have on the power position, the functions and the routines of the street level bureaucrats. During the last decades the discretion of many street level bureaucrats is gradually becoming hollowed out. The dominant organizational position of the managers in the technostructure compared to the bureaucrats in the operational core is, amongst others, visible in the application of Knowledge Management on the different dimensions of discretion and in the growing dissatisfaction with the administrative burdens. The roles of the street level bureaucrats as well as of the citizens, and the relationship between State and Society, are becoming step by step redefined.
From Trias to Tetras Politica: The Need for Additional Checks and Balances. Illustrated by Immigration Law
Authors: De Mulder Richard  , Meijer Albert
Published: February 2025

This chapter starts with an theoretical exploration of the nature of computerized practices of Law application. Then four generations of Law are identified in which the last generation can be understood as a form of legal mass customization. Characteristic for this fourth generation law is interactivity at a large scale. The theoretical discussion of the control of large-scale computerized policy implementation is illustrated by a case study of the use of large-scale information systems in Dutch and European immigration policies. It is argued that modern, western states, need a type of power that forms an addition to the existing Trias Politica. This because the Trias Politica is falling short on its promise of providing a check on the application of law because the fourth generation law offers the legislating power new instruments to limit the power of judges and the administration. As a result, there is no formal power which is concerned with supervising and correcting of the large scale exertion of power. As a way to restore the necessary balance of power a Tetras Politica is suggested.
Political Parties in the Information Age: Any signs of Re-intermediation?
Authors: Löfgren Karl
Published: February 2025

Colin Smith's 1998 chapter on the British political parties' uptake of new information and communication technologies (ICTs) in the handbook on public administration in an information age represents at present one of the more important pioneer works in the domain and delineated some of the major research questions. Based on a review of the research stock in the field of political parties and new ICTs, this chapter demonstrates that many of Smith's original thoughts still are valid despite the advent of new social networking technology.
Object detection methods for robot grasping: Experimental assessment and tuning
Authors: Rigual Ferran  , Ramisa Arnau  , Alenya Guillem  , Torras Carme
Published: February 2025

In this work we address the problem of object detection for the purpose of object manipulation in a service robotics scenario. Several implementations of state-of-the-art object detection methods were tested, and the one with the best performance was selected. During the evaluation, three main practical limitations of current methods were identified in relation with long-range object detection, grasping point detection and automatic learning of new objects; and practical solutions are proposed for the last two. Finally, the complete pipeline is evaluated in a real grasping experiment.
A RFID Path-Checking Protocol Based on Ordered Multisignatures
Authors: Xin Wei  , Sun Huiping  , Wang Zhao  , Guan Zhi  , Chen Zhong
Published: February 2025

Nowadays, RFID technology is increasingly become popular and begin to enter many spheres of everyday life and industrial sectors, supply chain management is one of the most significant applications using RFID solutions. Recently, the path-checking scheme in which readers can verify the validity of the product's path in supply chain is receiving more and more attentions. In this paper, we first review some existing RFID path-checking protocols and point out the defections of their constructions. Then we propose a path-checking solution based on Boldyreva's ordered multisignatures (OMS), a reader will provide its own signature when a tag passes by in order to record the path information, the scheme achieves that each reader in the supply chain can verify the validity of the path taken by the tag. However, OMS can also be verified by adversaries who have the public keys of the readers, so we improve Boldyreva's scheme to implement verification by designated readers, which also protect the path privacy of the tags. In order to resist impersonate attacks, we add mutual authentication into our path-checking scheme by extending Ma's protocol using only pseudorandom number generator. Finally, we do some security and privacy analysis and compare our solution with recently proposed CHECKER.
A Mobile RFID-based Mutual Authentication Protocol using Elliptic Curve Cryptography for Security Patrolling Application
Authors: Ko Wen-Tsai  , Lu Erl-Huei  , Chiou Shin-Yan  , Chang Henry Ker-Chang
Published: February 2025

The researches of mobile RFID (Radio-Frequency IDentification) applications in recent years have increased noticeably. They combine the technology of RFID and mobile device to create a new convenient application area for people. But they also suffer from the security issues because the insecure communication channel among tags, readers and databases. In 2012, Zhou et al. proposed a mutual authentication protocol using ECC (Elliptic Curve Cryptography) for mobile RFID applications. However in their protocol, we found that once the reader successfully read the data of a certain tag from the server, then the reader can read it unlimited times without reading that tag again. Therefore, their protocol cannot support some mobile RFID applications such as the security patrolling application. In this paper, we propose a new mobile RFID mutual authentication protocol that is suitable for security patrolling application.
Architectural and Technological Issues in The Field of Multiple Monitor Display Technologies
Authors: Bundulis Rudolfs  , Arnicans Guntis
Published: February 2025

Currently there is a rising need to lay out a vastly growing amount of information and supersize working areas for collaboration and presentation needs. The hardware side is not able to catch up with the needs – display surfaces are still limited either in size or resolution and are not capable to offer a homogenous large scaled display with a high resolution to present the needed amount of information. This issue is tackled by constructing a multiple display environment where a user can have a tiled display surface where the resolution is high enough. But as this solution is also limited to the number of video cards in the computer and their ability to feed multiple display targets, there are ongoing studies to understand how to cope with the current limitations on bandwidths by altering the architecture of the solution. This paper summarizes the current limitations and cost-effectiveness of multi display environments and proposes ideas for alternate solutions.
Advanced OWL 2.0 Ontology Visualization in OWLGrEd
Authors: Čerāns Kārlis  , Ovčiņņikova Jūlija  , Liepiņš Renārs  , Sproǵis Artūrs
Published: February 2025

Intuitive ontology visualization is a key for their learning, exchange, as well as their usage in conceptual modeling and semantic database schema design. OWLGrEd is a visual tool for compact graphical UML-style rendering and editing of OWL 2.0 ontologies. We describe here the extensibility features for OWLGrEd that allow tailoring the editor for specific ontology-based modeling needs, including custom entity annotation visualizations and description of integrity constraints for semantic database schemas. We discuss the application of concrete OWLGrEd extensions in the context of ontology-centered information system engineering.
Mining Logs for Long-Term Patterns
Authors: Novikov Boris  , Michailova Elena  , Vasilik Dmitri  , Ivannikova Ekaterina  , Pigul Alice
Published: February 2025

The discovery of high-level long-term system behavior patterns is essential for several tasks such as system analysis, performance tuning, adaptive data placement in a cloud data centers. This paper describes techniques for mining long-term activities from database query logs. We describe algorithms for extraction of query groups with similar occurrence patterns, identification of periodic groups, and experimentally evaluate the correspondence of the query groups with business processes in the system.
General Cryptographic Protocols: The Very Basics
Authors: Goldreich Oded
Published: February 2025

We survey basic definitions and results concerning secure multi-party computations, where the two-party case is an important special case. In a nutshell, these results assert that, under a variety of reasonable settings and/or assumptions, it is possible to construct protocols for securely computing any desirable multi-party functionality. Confining ourselves to the very basics of this vast area of study, we focus on the stand-alone setting, while leaving the survey of the study of the security of concurrent executions to other surveys.
The BGW Protocol for Perfectly-Secure Multiparty Computation
Authors: Asharov Gilad  , Lindell Yehuda
Published: February 2025

One of the most fundamental results of secure computation was presented by Ben-Or, Goldwasser and Wigderson (BGW) in 1988. They demonstrated that any n-party functionality can be computed with perfect security, in the private channels model. When the adversary is semi-honest this holds as long as t < n/2 parties are corrupted, and when the adversary is malicious this holds as long as t < n/3 parties are corrupted. In this chapter, we present a full description of the BGW protocol for the semi-honest and malicious settings, along with detailed explanations and intuition regarding the security of the protocols; full proofs can be found in [1].
Complementing Web Service Architecture
Authors: Mäkitalo Niko  , Peltola Heikki  , Turto Tuomas  , Mikkonen Tommi  , Savolainen Juha
Published: February 2025

In addition to functions, the architecture of a software system defines numerous other properties, commonly referred to as non-functional or quality properties. In web applications, two well-known architectural styles are common. They are resource-oriented architectural style, implemented using RESTful principles, and message-passing architectural style, implemented in XMPP. These architectural styles have their different benefits, whereas in real applications properties of both are sometimes needed. In this paper we discuss how RESTful web architecture can be complemented with XMPP. As an example, we use a distributed content management system, which is built using RESTful design guidelines and complemented with message passing architectural style implemented on XMPP. Features of both architectural styles are used in a fashion where no negative feature interaction takes place. In the completed system, both architectural styles are clearly identifiable, and their non-functional properties are preserved.
Why does e-government look as it does? looking beyond the explanatory emptiness of the e-government concept
Authors: Bekkers Victor
Published: February 2025

Why does e-government look as it looks? One could argue that the explanatory power of many e-government studies is weak. In this article it is argued that the explanatory power of -government studies could be improved by making use of three bodies of knowledge: a) open innovation studies because ICT is an important source of innovation, b) technology studies, because ICT is the outcome of a socio-political shaping process and c) bodies of knowledge that address steering, because ICT is an act of steering to achieve political outcomes. Finally a synthesis of the results is being presented.
The Information Polity: Towards a two speed future?
Authors: Taylor John A.
Published: February 2025

The overarching argument here is that only a ‘whole polity’ perspective, an ‘information polity’ perspective, can be satisfactory as both a starting and finishing point for the predictive endeavour being set out in this special edition. The organising image is one of seeing two trajectories at work in the polity, trajectories that hitherto have too often been treated as separate but which are ineluctably intertwined. The first of these trajectories is that of information intensifying government/governance and the second, the trajectory associated with communications intensifying democratic character of the polity as both formally initiated in experimentation and innovation and in the informal, spontaneous democratic impulses that have emerged from the era of social networking, or ‘web 2.0’. Drawn together these trajectories make up the wider polity, an information- and communications-intensive polity. Separating them for analytical purposes allows examination of the different paces of change in each of these trajectories, enabling speculative conclusions to be drawn, perhaps more accurately than otherwise, about what to expect in this century's third decade.
E-Government is dead: Long live Public Administration 2.0
Authors: Lips Miriam
Published: February 2025

Many complexities associated with e-Government are caused by using the wrong perspectives to understand and explain e-Government phenomena. This argument will be further introduced and explained by using e-Government initiatives and approaches in New Zealand as an illustrative case study. Generally, two dominant streams of e-Government thinking about the role of ICTs in government can be identified over time: e-Government 1.0 – a perspective where ICTs are seen as a driving force of change in public administration and governance, and e-Government 2.0 – a perspective that directly and explicitly relates the use of ICTs in government and its external relationships with transformational change.
Communication Leading to Coalition Nash Equilibrium I
Authors: Matsuhisa Takashi
Published: February 2025

This paper is to introduce the new concept of coalition Nash equilibrium of a strategic game, and to show that a communication among the players in a coalition leads to the equilibrium through messages. A coalition Nash equilibrium for a strategic game consists of (1) a subset S of players, (2) independent mixed strategies for each member of S, (3) the conjecture of the actions for the other players not in S with the condition that each member of S maximises his/her expected payoff according to the product of all mixed strategies for S and the other players' conjecture. However, this paper stands on the Bayesian point of view as follows: The players start with the same prior distribution on a state-space. In addition they have private information which is given by a partition of the state space. Each player in a coalition S predicts the other players' actions as the posterior of the others' actions given his/her information. He/she communicates privately their beliefs about the other players' actions through messages among all members in S according to the communication network in S, which message is information about his/her individual conjecture about the others' actions. The recipients update their belief by the messages. Precisely, at every stage each player communicates privately not only his/her belief about the others' actions but also his/her rationality as messages according to a protocol and then the recipient updates their private information and revises her/his prediction. In this circumstance, we show that the conjectures of the players in a coalition S regarding the future beliefs converge in the long run communication, which lead to a coalition Nash equilibrium for the strategic game.
An Agent-Based Cooperative Population Learning Algorithm for Vehicle Routing Problem with Time Windows
Authors: Barbucha Dariusz
Published: February 2025

Population-based metaheuristics, mostly inspired by biological or social phenomena, belong to a widely used class of approaches suitable for solving complex hard optimization problems. Their effectiveness has been confirmed for many real-time instances of different optimization problems. This paper proposes an Agent-Based Cooperative Population Learning Algorithm for the Vehicle Routing Problem with Time Windows, where the search for solutions is divided into stages, and different learning/improvement procedures are used at each stage. These procedures are based on a set of heuristics (represented as software agents) which are run under the cooperation schemma defined separately for each stage. Computational experiment, which has been carried out, confirmed the effectiveness of the proposed approach.
Cut-Free ExpTime Tableaux for Converse-PDL Extended with Regular Inclusion Axioms
Authors: Nguyen Linh Anh
Published: February 2025

We develop a cut-free tableau calculus for the logic CPDLreg, leading to the first cut-free EXPTIME (optimal) tableau decision procedure for CPDLreg. This logic extends Converse-PDL with regular inclusion axioms characterized by finite automata. It is a logical formalism suitable for expressing complex properties of agents' cooperation in terms of beliefs, goals and intentions.
The Supply Chain in Cloud Computing – the Natural Future
Authors: Grzybowska Katarzyna  , Kovács Gábor  , Lénárt Balázs
Published: February 2025

Firstly, the paper presents the definition and evolution of supply chains. On the other hand, it details the use of mobile solutions in the supply chain and the characteristics, models and forms of cloud computing. Based on these, the paper describes the IT technical approach of cloud supply chains, and it presents the electronic freight and warehouse exchanges as a type of hybrid cloud supply chains. Moreover, the paper contains the new challenges and opportunities of cloud supply chains.
Automatic Reuse of Interaction Protocols in Mas: Arip Model
Authors: Khalfaoui Sami  , Lejouad Chaari Wided
Published: February 2025

The traditional agent architecture is essentially based on three major components, namely, its competences, its roles, and its interactions. In a previous work, we proposed to dissociate the interactions from the agent content, and then to consider them as separated and shared resources among agents. In this way, multi-agent systems are called Interaction-Centered MAS where interactions are easily updated, maintained and reused independently without changing the agent source code. In this context, the system requires an Automatic Reuse of Interaction Protocols (ARIP). In this paper, we describe the ARIP model, its new concepts (like protocol description schema, agent description schema, etc.), and its main functionalities making possible the reasoning on the interaction protocols and their automatic reuse.
Advancing collaborative decision making through alternative visualizations and reasoning mechanisms
Authors: Christodoulou Spyros  , Karacapilidis Nikos  , Tzagarakis Manolis
Published: February 2025

Decision making processes are becoming increasingly collaborative and multi-disciplinary in nature. Aiming to augment the quality of decision making in contemporary complex settings, this paper reports on an innovative approach that offers a range of alternative - but meaningfully interrelated - visualizations of the context under consideration. These visualizations incorporate suitable reasoning mechanisms that exploit human and machine understandable knowledge to facilitate the underlying what-if analysis and aid stakeholders towards reaching consensus and, ultimately, making a collective decision.
Smart Health Care for the Elderly Society in Smart City
Authors: Supangkat Suhono Harso  , Bhaskoro Susetyo Bagas
Published: February 2025

The paradigm about providing service of health care will change in the future. This change happens based on development and needs of health condition where everyone has a right for a health care. One of the examples is the changes of services that focus on health care unit (UPK) centric to patient centric. Patient centric is individual that had the right to set and guarantee their own health. The role of UPK is as a managing facilitator for the entire health data owned by individual. Research in the domain of health becomes one of special attention considering that health is one of the cornerstones of any country's efforts to build a society that is more productive.
Annotated-Traffic Lights Panel as a Tool to Evaluate the Risk of Decisions Based on Prototypes
Authors: Conti Dante  , Gibert Karina
Published: February 2025

Clustering techniques are commonly performed to find homogeneous and distinguishable prototypes. However, a careful interpretation of these prototypes is the key to assist the expert to better organize this knowledge for decision making support. We use the annotated Traffic Lights Panel (aTPL), not only as a postprocessing tool to help understand clustering prototypes, but also to manage uncertainty related to variability which is inherent by itself within the prototypes. The aTPL handles this uncertainty by using the variation coefficients (VC) in the classes over two dimensions - tone and saturation. Two different aTLPs were obtained to a WWTP in Slovenia. Results suggested that aTPL could be seen as a useful tool with good levels of reliability when interpreting and managing uncertainty related to decision-making based on clustering prototypes.
Melanoma Diagnosis Based on Collaborative Multi-Label Reasoning
Authors: Nicolas Ruben  , Fornells Albert  , Golobardes Elisabet  , Corral Guiomar  , Puig Susana  , Malvehy Josep
Published: February 2025

The number of melanoma cancer-related death has increased over the last few years due to the new solar habits. Early diagnosis has become the best prevention method. This work presents a melanoma diagnosis architecture based on the collaboration of several multi-label case-based reasoning subsystems called DERMA. The system has to face several challenges that include data characterization, pattern matching, reliable diagnosis and self-explanation capabilities. Experiments using two subsystems specialized in confocal and dermoscopy data from images respectively have provided promising results to help experts assess melanoma patterns.
How to Demonstrate Incentive Compatibility in Multi-Attribute Auctions
Authors: Pla Albert  , López Beatriz  , Murillo Javier
Published: February 2025

Demonstrating the incentive compatibility of an auction mechanism is always a hard but essential work in auction mechanism design. In this paper we discuss three different approaches to proof or check such property in regard of a multi-attribute auction mechanism: by analyzing well-known sufficient conditions, by mathematical analyzing the rules that govern the mechanism, and by empirically checking the mechanism. Particularly, for dealing with the second approach, we propose a new method which consists on seeking for a counterexample with a constraint solver.
Applying IRON to a Virtual Community Scenario
Authors: Morales Javier  , Mendizabal Iosu  , Sanchez-Pinsach David  , Lopez-Sanchez Maite  , Rodriguez-Aguilar Juan A.
Published: February 2025

Normative systems (norms) have been widely proposed as a technique for coordinating multi-agent systems (MAS). The automated synthesis of norms is a complex problem that remains open. IRON (Intelligent Robust On-line Norm synthesis mechanism) is a novel mechanism for the on-line automated synthesis of norms for MASs. IRON produces conflict-free norms that characterise necessary conditions for coordination, without over-regulation. In the past, IRON successfully regulated a traffic scenario even in the presence of non-compliant agents. In this paper, we apply IRON to synthesise norms for a virtual community scenario, where agents are users that share contents within the community. As a result, IRON synthesises norms that prevent users from uploading undesirable contents (i.e., those that users complain about).
On RFID Authentication Protocols with Wide-Strong Privacy
Authors: Li Nan  , Mu Yi  , Susilo Willy  , Guo Fuchun  , Varadharajan Vijay
Published: February 2025

Radio frequency identification (RFID) tag privacy is an important issue to RFID security. To date, there have been several attempts to achieve the wide-strong privacy by using zero-knowledge protocols. In this paper, we launch an attack on the recent zero-knowledge based identification protocol for RFID, which was claimed to capture wide-strong privacy, and show that this protocol is flawed. Subsequently, we propose two zero-knowledge based tag authentication protocols and prove that they offer wide-strong privacy.
IBIHOP: Proper Privacy Preserving Mutual RFID Authentication
Authors: Peeters Roel  , Hermans Jens  , Fan Junfeng
Published: February 2025

One of the concerns that comes with the use of RFID tags is that these respond to any query. This can be overcome by having mutual authentication between reader and tag. However, the ordering between the two authentication steps is crucial. In this paper, we formalise mutual RFID authentication: capturing the necessary coupling between tag authentication and reader authentication as well as the ordering between these authentication steps. We show that the reader needs to authenticate first to the yet unknown tag to 1) preserve the tag's privacy, 2) make it more resistant to side-channel analysis and 3) ensure that the end-user can observe the protocol's output. We propose a generic construction to transform existing private RFID authentication protocols into proper private RFID mutual authentication protocols. Finally, we design a very efficient wide-strong private RFID mutual authentication protocol that requires the tag to compute only three scalar-elliptic curve point multiplications. We also show how this new protocol can be implemented efficiently in hardware.
A Framework to Securing RFID Transmissions by Varying Transmitted Reader's Power
Authors: Huo Fei  , Yang Chouchang  , Gong Guang  , Poovendran Radha
Published: February 2025

RFID technology has gained tremendous popularity in the recent years. The tiny, inexpensive RFID tags can be easily attached to objects for seamless identification. However, one glaring weakness of RFID tags, especially passive RFID tags is its lack of capability for implementing strong crypto primitives for security purposes. When no or a weak crypto primitive is implemented, the adversary could easily eavesdrop to the communication session between the reader and the tag, he can potentially gain all the secrets about the tag. In doing so, the secrecy of the messages and the privacy of the tag is violated. In this paper, we introduce a new framework that would protect the messages transmitted from the tag to the reader. This framework makes use of the physical properties of RFID systems by sending a random time-varying waveform from the tag to the reader for power harvesting rather than a fixed amplitude waveform. We show theoretically this framework is secure against one eavesdropper by showing the eavesdropper's decoding error probability is very close to 50%. Furthermore, we have implemented our framework, the experimental results also confirm with our theoretical results. Finally, we will discuss two more stronger forms of attack.
Temporal Awareness of Needs after East Japan Great Earthquake using Latent Semantic Analysis
Authors: Hashimoto Takako  , Chakraborty Basabi  , Kuboyama Tetsuji  , Shirota Yukari
Published: February 2025

This paper proposes a time series topic extraction method to investigate the transitions of people's needs after the East Japan Great Earthquake using latent semantic analysis. Our target data is a blog about afflicted people's needs provided by a non-profit organization in Tohoku, Japan. The method crawls blog messages, extracts terms, and forms document-term matrix over time. Then, the method adopts the latent semantic analysis and extract hidden topics (people's needs) over time. In our previous work, we already proposed the graph-based topic extraction method using the modularity measure. Our previous method could visualize topic structure transition, but could not extract clear topics. In this paper, to show the effectiveness of our proposed method, we provide the experimental results, and compare them with our previous method's results.