bluuebunny/crossref_metadata_2025 huggingface dataset:
A Semantic Method of Automatic Composition of E-Government Services
Authors: Maigre Riina  , Grigorenko Pavel  , Haav Hele-Mai  , Kalja Ahto
Published: February 2025

It is hard to automatically find a semantically meaningful web service composition over a huge collection of web services available on the web. However, recent results in semantic web service research and technology could be effectively used within some specific domains. E-government is one of the sectors that need horizontal integration. Therefore, semantic web services and their composition become necessary and applicable in this domain. The paper proposes a semantic method of automatic composition of e-government services. It uses domain ontologies presented in OWL, semantic web services described in SAWSDL, quality of service (QoS) characteristics, ontology reasoning and AI planner in order to automatically provide service plans that could be presented in some service execution language. The approach is motivated by a case study from the domain of the Estonian state information systems.
The Influence of Data Quality on Clustering Outcomes
Authors: Sivogolovko Elena
Published: February 2025

Relationship between clustering and data quality has not been thoroughly established. It is usually assumed that input dataset does not contain any errors or contains some “noise”, and this concept of “noise” is not related to any data quality concept. In this paper we focus on the four most commonly used data quality dimensions, namely accuracy, completeness, consistency and timeliness. We evaluate the impact these quality dimensions on clustering outcomes in order to find out which of them has the most negative effect. Four different clustering algorithms and five real datasets were selected to show the interaction between data quality and cluster validity.
The FSTP Test: a novel approach for an invention's non-obviousness analysis
Authors: Ramakrishna Shashishekar  , Karam Naouel  , Paschke Adrian
Published: February 2025

Most patent applications almost always face non-obvious/inventive step rejections during the examination stage. The rejections based on non-obviousness/inventive step are increasing substantially each year. In this paper, we propose a mathematical approach called the FSTP Test for determining a non-obviousness indication. The FSTP Test allows an inventor to identify and rework certain aspects of his invention before filing a patent application, which might have been considered as obvious at a later stage.
An Imagination-based Query Creation Method for Image Retrieval
Authors: Nguyen Diep Thi-Ngoc  , Kiyoki Yasushi
Published: February 2025

Our imagination-based query creation method is a new approach to image-recall functions reflecting color-based imaginations in human brains. This method dynamically represents user's imaginations and creates queries for image retrieval. The important aim of this method is to express user's abstract intentions in a computable objects and to recall those imaginations from image databases with color-analytical image retrieval. The main features of this method are: (1) a hierarchical model for color indexing to express image contexts, (2) color zooming for context-dependent color histogram generation by utilizing color names as contextual words, (3) integrating several histograms by using five histogram-combining operations and dynamic semantic weighting, and (4) threshold controlling for semantic correlation. This method exploits color information to retrieve intended images expressing a user's imagination. This paper also represents a “Database for Imagination Expression” (DBIE), which stores, shares and reuses created queries. Additionally, several qualitative experiments are also represented to examine the effectiveness and the feasibility of our method.
Creating a Personal-Context Oriented Real-Time Dynamic and Collaborative Space
Authors: Hall Jeremy  , Kiyoki Yasushi
Published: February 2025

This paper describes a method for directly encoding and sharing the unique knowledge and perspective of Website-usage and relationships that each person using the Web holds. Knowledge sharing is achieved by creating a Real-time Dynamic Collaborative Space which combines a user's, their friends', and the public's combined knowledge in a new space. This new space provides a context in which the abstract properties of a user's knowledge is expressed through an intuitive visualization which uses real-world-space and behavior knowledge-sharing analogues for allowing the user to understand their Personal Web Context in relation to other people's. This new space and visualization is dynamic, reacting in real-time to a user's and their friends' changing knowledge of the Web. This paper describes the new space, the modeling of Web knowledge, and a discussion of implementation strategies and an in-progress prototype.
A good man but a bad wizard. About the limits and future of transparency of democratic governments
Authors: Grimmelikhuijsen Stephan
Published: February 2025

Computer-mediated transparency is seen as a powerful tool to attain policy goals and to transform government. This is based on the idea that transparency is something good in itself, which can be attained by using ICTs eventually improving government and citizen relations. This article claims that although transparency of government is necessary, scholars and practitioners tend to overestimate its positive effects and underestimate its negative effects. There is no reason to believe that transparency is always a good thing. Further, ICTs are not necessarily an effective means to increase transparency; there is an increased risk of information overload, cyber propaganda and inadvertent information release. Transparency might even drive citizens away from government as it gives way to a ‘gotcha’ media culture and political cynicism. Moreover, transparency has potential wide scale unforeseen and unintended consequences which eventually may affect society and economy. This is not a plea against transparency, but this article gives several pointers that the risks involved with disclosing information are much more complicated than the literature has yet fully acknowledged. This article concludes that the future of transparency may be twofold: more transparency of quantifiable performance indicators, but increased control of information flows that are at the heart of governments.
Role and Member Selection in Team Formation Using Resource Estimation
Authors: Hayano Masashi  , Hamano Dai  , Sugawara Toshiharu
Published: February 2025

We propose an efficient team formation method for multi-agent systems consisting of self-interested agents in task-oriented domains. Services computing on computer networks have been rapidly increasing. Efficient team formation for service tasks is considered to be a way to improve performance. Our method is based on our previous parameter learning method enabling agents to efficiently form teams but requiring prior knowledge about all others' resources. We extended that method by adding a resource estimation method so as to increase its applicability to actual application systems. We experimentally evaluated our method by comparing it with the previous method and the task allocation using contract net protocol (CNP). The results demonstrated that the proposed method outperformed other methods even though it did not require prior knowledge about resources in other agents. We discuss the reason for this improvement.
A Method for Knowledge Integration Using Indeterminate Model of Time with Criterion O
Authors: Nguyen Van Du  , Nguyen Ngoc Thanh
Published: February 2025

In this paper we will investigate processing inconsistency of knowledge and its integration process using the temporal model of indeterminate valid time and probability. This paper differs from others by considering criterion O2in designing algorithm for integration of knowledge. In the integration process, we need to determine a proper time interval and probability (based on consensus method) which properly represent an event. For this aim, some postulates, algorithm for knowledge integration are worked out and analyzed.
A Combination of Business Rule and Modeling Languages for Semantic Business Processes Modeling
Authors: Tran Chi P.T.  , Hoang Hanh Huu
Published: February 2025

With increasing requirements for business agility and cost pressures on information technology (IT), Business Process Management (BPM) is asked to move towards “Dynamic BPM” and “Intelligent Case Management” instead of freezing process flows in hard to change IT solutions. Business rules and business processes are essential artifacts in defining the requirements of a software system especially in Business Process Management Systems. Although business rules and business process are considered important ingredients of dynamic BPM, both of which are not enough for representing all business constructs. Business Process Model and Notation (BPMN) developed by OMG group is one of the newest standards among business process modelling languages. However, there are some critical aspects of business that BPMN should be extensive integration with business vocabularies and constraints. Semantics of Business Vocabulary and Business Rules (SBVR), another OMG standard, provides a meta-model for the semantic and declarative models of business vocabulary and business rules. In this paper, we have a comparison among the business rule and business process languages in order to show that no single language is internally complete with respect to the Bunge-Wand-Weber representation model. We also show BPMN and SBVR are better suited for combining process and rule modelling than any of these modelling languages used independently.
Emergence of Collective Escaping Strategies in Caribou Agents
Authors: Tian Kun  , Tanev Ivan  , Shimohara Katsunori
Published: February 2025

We propose a wolf-caribou predator-prey system to verify our hypothesis that relatively complex collective escaping behavior may emerge from simple, implicit, locally defined, and therefore scalable interactions between the caribou (prey) agents. Proposing two different communication mechanisms – (i) simple, basic mechanism of implicit interaction, and (ii) explicit communications promoting the awareness of the caribou about the identity of the chased one (i.e., empathy), we present a comparative analysis of the implications of these communication mechanisms on the efficiency of evolution of the emerged collective behavior. We used strongly typed genetic programming with exception handling capabilities to evolve the collective behavior of caribou agents. The experimental results suggest that the empathy facilitates the evolution of collective escaping behavior of the team of caribou agents..
An Analysis of Extended Absolute Measurement method and Dominant Standard Method
Authors: Mizuno Takafumi  , Kinoshita Eizo
Published: February 2025

In this paper, we describe the absolute measurement method and its Kinoshita's implementation in Section 1. The dominant standard method is described in Section 2. We discuss equivalences and differences among these methods, and we show conditions of agreeing scores or disagreeing them in Section 3. Conclusions and future works are described in Section 4.
From the Turing Test to Science Fiction: The Challenges of Social Robotics
Authors: Torras Carme
Published: February 2025

The Turing test (1950) sought to distinguish whether a speaker engaged in a computer talk was a human or a machine [6]. Science fiction has immortalized several humanoid robots full of humanity, and it is nowadays speculating about the role the human being and the machine may play in this “pas à deux” in which we are irremissibly engaged [12]. Where is current robotics research heading to? Industrial robots are giving way to social robots designed to aid in healthcare, education, entertainment and services. In the near future, robots will assist disabled and elderly people, do chores, act as playmates for youngsters and adults, and even work as nannies and reinforcement teachers. This poses new requirements to robotics research, since social robots must be easy to program by non-experts [10], intrinsically safe [3], able to perceive and manipulate deformable objects [2, 8], tolerant to inaccurate perceptions and actions [4, 7] and, above all, they must be endowed with a strong learning capacity [1, 9] and a high adaptability [14] to non-predefined and dynamic environments. Taking as an example projects developed at the Institut de Robòtica i Informàtica Industrial (CSIC-UPC), some of the scientific, technological and ethical challenges [5, 11, 13] that this robotic evolution entails will be showcased.
Solving Routing and Wavelength Assignment Problem with Conflict-Driven ASP Solvers
Authors: Béjar Ramón  , Fernández Cèsar  , Mateu Carles  , Guitart Francesc
Published: February 2025

The Routing and Wavelength Assignment (RWA) problem is an optical networking problem aiming to improve data transmission by eliminating optoelectronic conversions through the network. RWA problem is in the set of NP-complete problems [3] and thus is also an interesting problem form a computational point of view. It can be solved in different flavours, being the Static Lightpath Establishment (SLE) the one we consider here. In this work we present ASP encodings for the problem. Then, we solve them with ASP solvers and we empirically compare them with previous approaches.
A Secure Elliptic Curve based RFID Ownership Transfer Scheme with Controlled Delegation
Authors: Cheng Shu  , Varadharajan Vijay  , Mu Yi  , Susilo Willy
Published: February 2025

In practical applications, the owner of an RFID-tagged item canchange. In this paper, we propose a new RFID ownership transfer protocol using elliptic-curve cryptography. The paper first considers security and privacy requirements in the ownership transfer process. Then the paper provides a detailed description of our ownership transfer scheme outlining various protocol phases. Key features of the proposed scheme are that it allows controlled delegation and authorisation recovery, and the ownership transfer is achieved without a trusted third party. We describe a security analysis of the proposed scheme and demonstrate that it meets the desired security and privacy requirements. We also illustrate the performance results and show that our scheme is feasible for lightweight RFID tags.
Traceable Uncertainty for Threat Evaluation in Air to Ground Scenarios
Authors: Steinhauer H. Joe  , Karlsson Alexander
Published: February 2025

In this paper we apply our method for traceable uncertainty to the application scenario of threat evaluation. The paper shows how the uncertainty within a decision support process can be traced and used to include a human decision maker in the decision making process by pointing to situations within the process where unusually high uncertainty is encountered. The human decision maker can then contribute with context information or expert knowledge to resolve the situation.
From Information Retrieval (IR) to Argument Retrieval (AR) for Legal Cases: Report on a Baseline Study
Authors: Ashley Kevin D.  , Walker Vern R.
Published: February 2025

Users of commercial legal information retrieval (IR) systems often want argument retrieval (AR): retrieving not merely sentences with highlighted terms, but arguments and argument-related information. Using a corpus of argument-annotated legal cases, we conducted a baseline study of current legal IR systems in responding to standard queries. We identify ways in which they cannot meet the need for AR and illustrate how additional argument-relevant information could address some of those inadequacies. We conclude by indicating our approach to developing an AR system to retrieve arguments from legal decisions.
Cross-Cultural Communication with Icons and Images
Authors: Heimbürger Anneli  , Duží Marie  , Kiyoki Yasushi  , Sasaki Shiori  , Khanom Sukanya
Published: February 2025

Visual information such as pictorial symbols, icons and images capture our imagination. In our paper, we discuss icons and images in the context of cross-cultural communication. The authors present their own viewpoints to the subject. We discuss about communication in the multi-cultural world and analyze icons in cross-cultural context. Two professional application domains for icons will be presented. A Kansei-based cross-cultural multimedia computing system and a cross-cultural image communication system are described. Icons are a good means for communication within a certain application domain and in a certain context.
Supporting Decision Making: The BI Sweet Spot
Authors: Gendron Michael  , Yeoh William  , Swarr Robert
Published: February 2025

In this paper, we propose the concept: the BI Sweet Spot. The BI Sweet Spot ecosystem includes mobile computing, cloud computing and Big Data. We provide an overview for each of the key components and explain how these three components support the BI Sweet Spot. We also discuss best practices for managing these essential components. This study is the first-of-its-kind work in the BI research that considers the inter-relationships and the combined effect of mobile, cloud and Big Data.
The Impact of the Organizing Vision on Mobile Bi Adoption
Authors: Tona Olgerta  , Carlsson Sven A.
Published: February 2025

Mobile Business Intelligence (m-BI) enhances the capabilities of organizations to take decisions ‘on-the-move’. M-BI emerged as an extension of BI and many companies have or are considering implementing it. Being an innovation, m-BI reflects an organizing vision, created by a broad community, which is prominent during the comprehension process of this innovation. Little is known how the organizing vision affects the decision to adopt a certain innovation, and moreover these studies are completely lacking within the m-BI area. A qualitative approach has been embraced and interviews with different organizations that have already decided to adopt m-BI have been conducted. This study revealed that industrial research reports, vendors marketing campaigns and success stories produced by the collaboration among vendors, analysts, journalist and early adopters have a strong influence on the early phases of the organizational decision-making process to adopt m-BI. Increasing internal and external legitimacy, reducing the risk to be left behind, gaining competitive advantage, following the footsteps of high-performing companies, increasing their prestige and reputation, are the main reasons for why organizations may start the decision-making process to adopt m-BI; all this under the umbrella of the organizing vision.
Continuous-Curvature Bounded Trajectory Planning Using Parametric Splines
Authors: Elbanhawi Mohamed  , Simic Milan  , Jazar Reza
Published: February 2025

This paper investigates trajectory generation for curvature continuous paths. A car-like wheeled robot platform is considered. Planning is performed using a single B-spline curve that maintains continuity through the path. Constraints such as bounded curvature, velocity, and acceleration limits are considered. We minimize the traversal time while maintaining continuity and obeying the robot's constraints. Simulation experiments were successfully conducted to verify the efficiency and robustness of this approach.
A Platform for e-Learning
Authors: Burdescu Dumitru Dan
Published: February 2025

The paper presents some challenges regarding software methodology for Distributed Development of Software and e-Learning system. Of course this system was influenced by well known e-Learning platforms but come to improve them on exploitation and it is based on our experience in exploitation. The classical methodology of each field was enriched by innovative approaches. There are currently many e-Learning platforms on the global market, either open source or proprietary. Tesys is an e-Learning system that offers tools for providing Web-based publication of content, off-line data management and a custom recommender system. One may view Tesys-Web that is an e-Learning platform that has been designed and implemented to offer users a collaborative environment in which they can perform educational activities. This means downloading courses, taking tests and exams, communicating with colleagues, professors and secretaries. The tool has also implemented administration capabilities for professors and secretaries. These capabilities allow general administration of content: disciplines, chapters, documents, quizzes, etc. The second is Tesys Data Manager (TDM) that is a desktop application that has implemented capabilities for managing the content of the Tesys-Web tool. TDM may edit the disciplines, chapters and other resources and can export/import data from/to Tesys-Web system. The third is eLeTK that is an e-Learning Enhancer Toolkit. It is a tool that works as a service along Tesys-Web. It can analyze data provided by Tesys-Web (e.g., the database, log files, etc.) in order to provide feedback for learners and it works as a recommender system for learners and professors.
Generation of Relevant Spreadsheet Repair Candidates
Authors: Hofer Birgit  , Abreu Rui  , Perez Alexandre  , Wotawa Franz
Published: February 2025

Spreadsheets are amongst the most successful examples of end user programming. Because of their, still increasing, importance for companies, spreadsheets have drastic economical and societal impact. Hence, locating and fixing spreadsheet faults is important and deserves attention from the research community. A state-of-the-art technique uses genetic programming for generating repair candidates, but a limitation that hinders real-world application is that it still computes too many repair candidates. In this paper, we discuss a novel technique based on constraint solving that uses distinguishing test cases to narrow down the number of repair candidates.
Election Attacks with Few Candidates
Authors: Yang Yongjie
Published: February 2025

We investigate the parameterized complexity of strategic behaviors in generalized scoring rules. In particular, we prove that the manipulation, control (all the 22 standard types), and bribery problems are fixed-parameter tractable for many generalized scoring rules, with respect to the number of candidates. Our results imply that all these strategic problems are fixed-parameter tractable for many common voting rules, such as Plurality, r-Approval, Borda, Copeland, Maximin, Bucklin, Ranked pairs, Schulze, etc., with respect to the number of candidates.
A Process for Combining Policy Formation with Innovative Design
Authors: Hawryszkiewycz I.T.
Published: February 2025

Policy formulation is now increasingly dynamic where policy has to be agile to reflect the changing behaviour in an increasingly complex world. An increasing requirement is for policy formulation is to become more adaptive and increasingly include design as part of vision and strategy setting. This is particularly important in the emerging complex environments where changing values need quick response. Thus as community values evolve ways to satisfy them are continually identified to ensure that change can be easily accommodated. The focus is on developing policy in solution neutral but meaningful terms while providing ways to respond quickly to policy changes through evolving projects. This paper proposes business building blocks combined with design thinking as a way to support such flexibility. Building blocks are now increasingly accepted as a way to build businesses whereas design thinking is finding increasing importance as a design approach that emphasizes innovation. It requires visualizations to help designers and policy makers to make sense of the complex relationships that exist in complex environments. The paper proposes a set of building blocks for policy formulation and illustrates how they can be organized for policy formulation.
Private Financing of Road Taxation
Authors: van Haaften Wouter F.  , van Engers Tom M.
Published: February 2025

In the past few decades several developments have lead to a new view on the division of roles between the public and the private sectors when performing public tasks. Developments like the application of information technology on a large scale combined with the notions of new public management increased the involvement of the private sector in public service. Now it seems that the private sector is being granted a prominent role in one of the most public of public tasks, taxation, in particular free flow, GPS based, electronic road user tax. Next to various technical challenges this leads to new questions like how to get the levying of a tax financed by a private company. It appears that many factors play a role in the way the various actors, public authorities, toll charging companies and financers behave in this type of Public Private Partnership process. This particular type of charging, using an on-board-unit in the vehicle requires large investments in electronical equipment at the start of a project.
An Evaluation of the State of Local e-Governance in Bangladesh
Authors: Hossain Mohammad Shahadat  , Svarre Tanja  , Zander Pär-Ola
Published: February 2025

The government of Bangladesh has during the latest 5 years espoused ambitious goals for digitalisation. As a result, many services of local government are now online, and all the districts, many municipalities, all city corporations, many Upazilas in the Bangladeshi nomenclature, some union parish-ad have now established web presence. This paper presents an evaluation of the state of e-Governance in three of these districts. We report the self-assessment of Bangladeshi ICT professionals who are working with the implementation of the services, as well as the citizen's evaluations. The method is mainly quantitative. This evaluation sheds important light on Bangladesh's progress, and is useful for further comparative work with Bangladeshi governmental levels, or comparisons with other countries. The result is that the perceived usefulness of Bangladeshi e-government is rather good, which complements the picture of Bangladesh as frequently low scorer on e-readiness indexes.
Requirements Elicitation Techniques Selection Survey
Authors: Anwar Fares  , Razali Rozilawati
Published: February 2025

Requirements elicitation (RE) is the most critical phase in requirement engineering. It is the phase, in which analysts elicit, understand and validate the requirements of a system from stakeholders. Quite a number of existing strategies, tools and techniques are widely employed by software engineers to gather user requirements. However, these approaches have some drawbacks, which make the analysts to face some problems during the elicitation process. This is mainly due to the lack of knowledge about the features of those approaches. This paper analyses a number of requirement elicitation techniques in order to understand their unique features. The effectiveness of those requirements elicitation techniques is compared to gain in-depth knowledge about them. In addition, the paper also discusses a survey, which was conducted to know the current practice of RE techniques and the factors that affect their selection.
Supervised Pterygium Fibrovascular Redness Grading Using Generalized Regression Neural Network
Authors: Che Azemin Mohd Zulfaezal  , Hilmi Mohd Radzi  , Mohd Kamal Khairidzan
Published: February 2025

Pterygium is a growth on the eye that can cause blindness, with countries closer to the equator showing higher rate of incidence. However, there is a lack of research to study the severity and properties of the tissue. We propose the use of Generalized Neural Network (GRNN) to objectively quantify redness of the fibrovascular tissue. Comparative analysis using multiple feature selection algorithms indicates that error can be minimized when use with optimal set of features and suitable GRNN spread parameter. Features nominated by Minimum Redundancy Maximum Relevance gives the best performance with SSE = 3.55 and GRNN spread = 0.47.
Financial Dialogue Games: A Protocol for Earnings Conference Calls
Authors: Budzynska Katarzyna  , Rocci Andrea  , Yaskorska Olena
Published: February 2025

The aim of the paper is to show the potential of applying computational models of argument in the financial domain to the analysis of Earnings Conference Calls. We propose the formal description of ECC dialogue games: its locution rules and protocol. We also test its descriptive validity on an annotated corpus.
Enriching queries using argumentation: an industrial application of argumentation
Authors: Tamani Nouredine  , Mosse Patricio  , Croitoru Madalina  , Buche Patrice
Published: February 2025

Within the framework of the European project EcoBioCap (ECOefficient BIOdegradable Composite Advanced Packaging), aiming at conceiving the next generation of food packagings, we introduce an argumentation-based tool for management of conflicting viewpoints between preferences expressed by the involved parties (food and packaging industries, health and waste management etc.).
A formal theory for conceptualizing artefacts and tool manipulations
Authors: Troquard Nicolas
Published: February 2025

Artefacts (physical and institutional) are ubiquitous of our social environment. We live in a tight network of socio-technical systems, which are systems where agents interact with created objects. There is an increasing need for rigorous methods to model, specify, and reason about socio-technical systems in general, and about artefacts and their functions in particular. We propose a formal theory that serves at the conceptualization of artefacts and their manipulations: design, implementation, existence, use, and persistence.
An Ontological Interpretation of Non-Functional Requirements
Authors: Guizzardi Renata  , Li Feng-Lin  , Borgida Alexander  , Guizzardi Giancarlo  , Horkoff Jennifer  , Mylopoulos John
Published: February 2025

Non-functional requirements (NFRs) have been the focus of research in Requirements Engineering (RE) for more than 20 years. Despite this attention, their ontological nature is still an open question, thereby hampering efforts to develop concepts, tools and techniques for eliciting, modeling, and analyzing them, in order to produce a specification for a system-to-be. In this paper, we propose to treat NFRs as qualities, based on definitions of the UFO foundational ontology. Furthermore, based on these ontological definitions, we provide guidelines for distinguishing between non-functional and functional requirements, and sketch a syntax of a specification language that can be used for capturing NFRs.
Linking Data and Knowledge in Enterprises, Research and Society
Authors: Lange Christoph  , Auer Sören
Published: February 2025

The Linked Data paradigm has emerged as a powerful enabler for data and knowledge interlinking and exchange using standardised Web technologies. In this article, we discuss our vision how the Linked Data paradigm can be employed to evolve the intranets of large organisations – be it enterprises, research organisations or governmental and public administrations – into networks of internal data and knowledge. In particular for large enterprises data integration is still a key challenge. The Linked Data paradigm seems a promising approach for integrating enterprise data. Like the Web of Data, which now complements the original document-centred Web, data intranets may help to enhance and flexibilise the intranets and service-oriented architectures that exist in large organisations. Furthermore, using Linked Data gives enterprises access to 50+ billion facts from the growing Linked Open Data (LOD) cloud. As a result, a data intranet can help to bridge the gap between structured data management (in ERP, CRM or SCM systems) and semi-structured or unstructured information in documents, wikis or web portals, and make all of these sources searchable in a coherent way.
A New Ultra-Lightweight RFID Authentication Protocol Based on Physical Unclonable Functions
Authors: Tso Raylin  , Chen Chien-Ming  , Zheng Xinying  , Wu Mu-En
Published: February 2025

Radio Frequency IDentification (RFID) is a radio communication technique. It identifies specific targets and acquires related data from the backend database by using radio frequency signal and no physical touch needed. Because of its advantages of low cost and remote identity-recognition, this technology has been widely used in many applications. However, the information, which is transmitted via radio signal, is easily eavesdropped and traced by an attacker. Therefore, it is important to design a secure RFID protocol which can ensure the authentication of the origin and the integrity of the transmitted information. Researchers have put their efforts into this field and proposed many solutions to deal with these issues. In particular, in 2012, Bassil et al. introduced an ultra-lightweight RFID protocol based on a physical unclonable function (PUF), which means that the tags in the RFID architecture are unclonable. However, the insecurity of the scheme has been pointed out recently. In this paper, we will propose a new ultra-lightweight RFID protocol based on PUF that can overcome the security loopholes occurs in Bassil et al.'s protocol.
Single-Chip Implementation and Evaluation of Passive UHF RFID Tag with Hash-Based Mutual Authentication
Authors: Li Yang  , Mikami Shugo  , Watanabe Dai  , Ohta Kazuo  , Sakiyama Kazuo
Published: February 2025

This paper presents a single-chip implementation and evaluation of a passive ultra-high frequency (UHF) RFID tag that uses hash-based mutual authentication protocol. Implementation details of the silicon chip including analog power block, analog clock block, cryptographic block, volatile and non-volatile memory blocks will be introduced as well as the evaluation results of the chip about area, execution time, and power consumption. To the best of our knowledge, this work is the first single-chip implementation and the first feasibility verification of a fully functional passive UHF RFID tag chip running the hash-based mutual authentication protocol with forward privacy-preservation. We expect our experience is helpful for the future design of the privacy-preserving RFID system from both academic and industrial points of view.
#Folksonomies & #Law: from «quid juris?» to «quid jus?» to «cur jus?»
Authors: Costantini Federico
Published: February 2025

The aim of this poster is to provide a brief presentation of folksonomies and introduce a theoretical view of its application to legal information management. It is argued that a realistic theoretical approach may contribute to develop these technologies.
A Survey of Intelligent Video Surveillance Systems: History, Applications and Future
Authors: Fan Chung-Shuo  , Liang Jia-Ming  , Lin Yi-Ting  , Wu Kun-Ru  , Li Kuan-Yi  , Lin Ting-Yu  , Tseng Yu-Chee
Published: February 2025

With advances in wireless network infrastructure providing powerful support for surveillance video communications, it is practical to meet the needs of intelligent surveillance systems in a wide range of applications. This survey offers a comprehensive overview of state-of-the-art technologies for intelligent video surveillance systems so as to provide researchers in this field with a summary of the progress achieved to date. The evolution of surveillance systems is outlined as well. In addition, the representative technologies for environment modeling, object classification, object tracking, behavioral analysis, and database implementation are summarized. Finally, we list several detailed discussions on possible future research directions.
Joint Adaptation of IEEE 802.11 Link Rate and Backoff Parameters: Prototyping Validation
Authors: Wu Kun-Ru  , Lin Ting-Yu
Published: February 2025

In IEEE 802.11, DCF performs a binary exponential backoff mechanism to control channel access attempts, in order to reduce congestion. When transmission fails, both binary exponential backoff and rate reduction are performed, which may induce overly conservative transmission attempts. On the other hand, once transmission succeeds, rate adaptation may decide to increase the data rate and DCF resets the contention window to minimum value, which results in overly aggressive transmission attempts. Motivated by this, we propose a mechanism entitled Enhanced Adaptation of link Rate and Contention window, abbreviated as EARC. EARC is a receiver-assisted link rate adaptation protocol that jointly considers the backoff mechanism. We implement EARC in a real-life testbed to observe its performance. Empirical results validate that EARC enhances system throughput by judiciously adapting to both the link rate and backoff parameters.
An Extended SOA for Distributing Workload to Service Providers Using XMPP
Authors: Li Cheng-Zhe  , Hsieh Min-Yu  , Hsu Kuo-Hsun
Published: February 2025

SOA(Service-oriented Architecture) is an architecture style that provides modularization and flexibility in developing software systems. In SOA architecture, services look up is performed in UDDI, which could hinge the performance service matching while the number of services increase. Moreover, the service registry must be able to recognize the service description that service providers provide, which also increases the load in the service registry in processing various kinds of service description formats. In original service-oriented architecture, the process of finding appropriate services costs most of the computation resources in the registry, and could overload the UDDI. To deal with this issue, we propose, in this work, an extended SOA architecture to offload the UDDI. The proposed architecture separates the matching tasks from UDDI by shifting the load to service provider. That is, by providing the capability of service matching to service providers, the proposed extended SOA architecture can achieve the goal of dispersing workload of service registry.
Reducing Anomaly Detection in a TS Workflow
Authors: Wang Feng-Jian  , Nguyen Thanh-Thuy Thi  , Mandalapu Parameswaramma
Published: February 2025

Nowadays workflow management systems (WfMS) are widely used for improving business processes and providing better quality of services. The analysis of workflow can facilitate locating problems in business processes and prevent repeated errors during workflow execution. A temporal workflow is described with the min and max execution time intervals for each process and modeled by control structures (Sequence, AND, XOR, Loop). These time intervals are essential factors for the analysis and anomaly detection in a workflow. In our previous work, we provided redefined definitions for anomalous behaviors and algorithms to detect anomalies within a temporal workflow. However, an essential factor, a loop structure and its temporal effects are not discussed yet. In this paper, our work extends the analysis to the workflows containing loop structure. To simplify the anomaly detection inside the loop, we first transform the loop into an XOR structure branch, perform a series of analyses and then design an algorithm to find the anomalies more efficiently. We also make an analysis for the contribution due to the algorithms.
An Enhanced ID-Updating Hash-Based RFID Authentication Protocol with Strong Privacy Protection
Authors: Shen Jian  , Tan Haowen  , Zheng Yuhui  , Ji Sai  , Wang Jin
Published: February 2025

RFID authentication has many security and privacy issues due to the lightweight operation. Many research achievements in RFID focus on strengthening the entire system and solving the security problems. Recently, a hash-based RFID security protocol with the purpose of updating the identifier of the tag in both the reader side and the tag side was proposed. However, there exists inherent risk in the ID-updating when the adversary blocks the message, where the backend processing system (BPS) cannot recognize the tag due to de-synchronization of the identifier in last several sessions. In this paper, we propose an enhanced ID-updating hash-based RFID authentication protocol with strong privacy protection, in which ID-updating is able to resist de-synchronization attack. The possible feedbacks in our protocol are taken into consideration. Our proposed protocol is proved to be effective and secure in real applications.
Private Cloud for Software Firms - A Case Study
Authors: Yang Yao-Chieh  , Jwo Jung-Sing
Published: February 2025

A software company is inevitably needed to set up its computing infrastructure for R&D-enabled operations. Isolated infrastructure for different product teams is time-consuming to start-up and costly to maintain. The software company in this case study illustrates a shared private cloud built for all product teams to raise usage of computing infrastructure, hence to control investment cost on purpose. The private cloud includes an operation platform and a service platform that help the company optimizing the usage of computing resources.
A Hierarchical M-hops Idle Bandwidth Sharing Approach in Vehicular Ad-Hoc Network
Authors: Shieh Jin-Lih  , Kuo Yau-Hwang  , Lee Wei-Hsun
Published: February 2025

Idle bandwidth sharing is a promising concept in wireless networking, especially in vehicular ad-hoc network (VANET), where the peers in VANET usually have different networking bandwidth. It helps vehicle with extra Internet access bandwidth obtained from idle bandwidth enabled peers when its bandwidth is not enough for large bandwidth services such as telematics, streaming services and location-based services. However, there are several issues including authority, bandwidth competition, low idle bandwidth utilization and heavy message overhead problems in traditional bandwidth sharing schemes. In this paper, a Hierarchical M-hops Idle Bandwidth Sharing Approach (HMIBSA) is proposed to reduce the messaging overhead comparing to previous work (Authorized Idle Bandwidth Sharing Approach, AIBSA) which is a centralized planning approach. Two ideas are introduced in HMIBSA including M-hops grouping and hierarchical two-level planning. The former limits the message broadcasting range, and the latter has the advantages of distributed computing while keep the global view advantage in AIBSA. The idle bandwidth planning algorithm generates multiple authorized paths for creating the paths between bandwidth demanders and owners by considering overall idle bandwidth demands and supplies, global idle bandwidth utilization efficiency, and authorization policies. HMIBSA solves the problems in traditional bandwidth sharing schemes, and the simulation results show that the HMIBSA performs well in both the global utilization of the idle bandwidth and the message overhead.
Design and Implementation of a Haar Wavelet Series-based Adaptive Sliding-Mode Controller for Pneumatic Actuator Systems
Authors: You Chang-Min  , Hung Fu-Cheng  , Lee Lian-Wang  , Chiang Hsin-Han  , Lin Yi-Jie
Published: February 2025

The behavior of nonlinearity and time-varying cause the pneumatic actuator systems (PASs) are difficult to be controlled. This paper proposes a Haar wavelet series-based adaptive sliding-mode controller (HWS-ASMC) for pneumatic actuator systems. The Haar wavelet series-based functional approximation technique can approximate an unknown function, thus bypassing the model-based prerequisite. The adaptive laws for the coefficients of the Haar wavelet series (HWS) functions are derived from a Lyapunov function to guarantee the system stability. Consequently, practical experiments on a PAS are successfully implemented with different path tracking profiles, which illustrates the effectiveness of the proposed method.
Development of a wakame seaweed processing assist machine to generate cutting notch between wakame stem and leaf
Authors: Takagi Motoki  , Nishimura Toshiya  , Yimit Adiljan  , Hagihara Yoshihiro  , Miyoshi Tasuku
Published: February 2025

The process of wakame seaweed is conducted manually by human hand. To reduce excessive labor on harvesting wakame seaweed, we have been developing a machine to assist processing salt-preserved wakame seaweed to generate cutting notch between wakame stem and leaf.
Innovation in eGovernment Information Infrastructures
Authors: Jansen Arild
Published: February 2025

Although many governments are developing digital Government Information Infrastructures (eGovII), it seems to be little understanding of eGovII governance approaches other than those applied for traditional information systems. There is an increasing focus on how such eGovII may support innovations, both in developing public services, and when private enterprises uses public data in new ways. The paper aims at exploring what types of governance approaches for eGovII that may be most appropriate for supporting innovations. Our empirical base is the Norwegian eGovII including 3 common components as the Norwegian Population Register, the business reporting portal AltInn and the Land Registry and Cadastre.
Social Coordination Systems with Ontology and Protocol Heterogeneity
Authors: Chocron Paula  , Schorlemmer Marco
Published: February 2025

We tackle the problem of semantic heterogeneity between participants in social coordination systems for multi-agent interactions, focusing on electronic institutions. We propose an ontology aligning mechanism for systems organised in a centralised way, in which agents match their own ontology and protocol against central ones while executing the interaction. We base on the Interaction-Situated Semantic Alignment technique, considering meaning to be dependent on the context of interaction. At the same time, we extend I-SSA with new features such as allowing first-order messages.
Unsupervised Rank Aggregation using Hierarchical User Similarity Clustering
Authors: Dutta Sourav
Published: February 2025

Given multiple user-input rank lists, rank aggregation or combining the rankings to obtain a consensus (joint ordering) provides an interesting and classical domain of research, pertinent to applications across information retrieval, natural language processing, web search, etc. Efficient computation of such joint ranking poses a challenging task as optimal rank aggregation based on the Kemeny measure has been shown to be NP-hard.
Passing a USA National Bar Exam – a First Experiment
Authors: Fawei Biralatei  , Wyner Adam  , Pan Jeff Z.
Published: February 2025

Bar exams provide are a key watershed by which legal professionals demonstrate their knowledge of the law and its application. Passing the bar entitles one to practice the law in a given jurisdiction. The bar provides a excellent benchmark for the performance of legal information systems since passing the bar would arguably signal that the system has acquired key aspects of legal reason on a par with a human lawyer. The paper presents a first experiment with actual bar exam material, treating it as a form of textual entailment from the question to an answer. The Gold Standard is provided by the company which provides the bar exam. The paper reports a textual entailment student on a US bar exam, running ‘out of the box’ the Excitement Open Platform for textual entailment. The results and evaluation show that the tool can identify wrong answers (non-entailment) with a high F1 score, it performs poorly in identifying the correct answer (entailment). The results provide a baseline performance measure against which to evaluate future improvements. The reasons for the poor performance are examined, and proposals are made to augment the tool in the future.