bluuebunny/crossref_metadata_2025 huggingface dataset:
Validating and Customizing a Colour Naming Theory
Authors: Museros Lledó  , Sanz Ismael  , Gonzalez-Abril Luis  , Falomir Zoe
Published: February 2025

The problem of colour naming consists of successfully recognizing, categorising and labeling colours. This paper presents a colour naming theory based on a Qualitative Colour Description (QCD) model, which is validated here by an experiment carried out by real users in order to determine whether the QCD model is close enough to common human colour understanding. Then, this paper presents the necessity to customize this QCD by means of a user profile, since different users may perceive colours differently because of different cultures, knowledge, experiences and even physiology. A standard QCD model adaptable to users could improve colour reference and grounding in human-machine communication situations.
The utilization of mobile devices for telemedicine services in a South African public healthcare system
Authors: Hartmann André  , Van Dyk Liezl
Published: February 2025

The purpose of this study is to develop an understanding in the use of mobile devices in administering telemedicine services within the public health care sector of South Africa. An online questionnaire was developed and distributed amongst medical officers, specialists, students and medical staff of one of the health districts of South Africa. This paper describes the design of the questionnaire as well as the most significant outcomes. Results are presented in terms of reasons why healthcare workers use mobile devices, as well as perceptions in terms of transmission security and quality of transmitted information.
A Similarity-Based Object Matching Process for Integrating Geodatabases
Authors: Schäfers Michael  , Lipeck Udo W.
Published: February 2025

Spatial data from different geographic databases can show a high degree of diversity in terms of object modelling, thematic information, completeness, or currentness of data. Thus, between datasets, database objects representing, e.g., the same road of the real world can show strong differences. Integrating two or more spatial data sources requires a matching on the instance level to identify and link multiple representations of the same real-world entities. Spatial matching has to analyze complex objects for their geometry and other attributes, as well as the dataset topology in order to calculate a matching between geographic objects based on similarity.
Decision-Making in Information Systems Based on New Development Framework and Business Process Mining
Authors: Vasilecas Olegas  , Kalibatiene Diana  , Savickas Titas  , Smaizys Aidas  , Trinkunas Justas  , Lebedys Evaldas
Published: February 2025

The studies on software project failures have identified problems in capturing requirements, managing complexity and dynamic changes of the environment because of the using traditional software engineering, where requirement capturing is static and prolonged. This issue is especially important for decision-making in dynamically changing business. The paper offers modernization of information system development methods used for implementation of automated information-, rule-, knowledge-, model-based decision processes. The paper propose to assist processes by early separation and development of a business logic model and implementation of decision-making, knowledge discovery process models and business process analysis using probabilistic models by proposing an information systems development framework. The advantages of such approach are early separation and development of a business logic model and further support for business people for modification of business logic without involvement of software developers and minimizing their persistence in the latter exploitation stages. Finally, the paper presents experimental results for stochastic decision extraction from system database using process mining and probabilistic models to ease framework implementation.
Modelling Customer Churn Using Segmentation and Data Mining
Authors: Hiziroglu Abdulkadir  , Seymen Omer Faruk
Published: February 2025

Customer churn management has drawn much attention from many researchers and practitioners to improve customer retention. The term churn is related to predictions on when a customer abandons his relationship with a company; therefore it has become mandatory for most organizations seeking sustainable and profitable growth. Also increasing in churn rates make companies confront the inevitable heavy marketing campaigns to retain or acquiring new customers. Current churn literature reveals the fact that acquiring new customers costs more than keeping existing ones. However, studies related to churn management mainly focused on methodological improvements regarding the predictive ability, which failed to illustrate a dynamic process in the change of customers' churning behaviour. This paper proposes a model with multi-dimensions of customer churning level via combining segmentation concept within data mining framework to expand the prediction of customer churn. Additionally, comparison to other prediction models, proposed model provides more accurate predictions on customer behaviour and better understanding of relationship between customer and company, mostly applicable in service providing sectors. The potential implications of the model for managers and practitioners are also provided within the paper.
Requirements Engineering for Service-Oriented Enterprise Systems: Quality Requirements Negotiation
Authors: Lupeikiene Audrone  , Caplinskas Albertas
Published: February 2025

Service-oriented systems engineering (SoSE) counts its two-decade history. Nowadays it is a way of developing and deploying applications as well as the whole enterprise systems. Service-oriented requirements engineering (SoRE) as an integral part of SoSE and as a new requirements engineering subdiscipline faces a number of different kinds of challenges. The early SoRE approaches were derived from the initial phases of traditional software development methodologies, and the later ones are original, taking into account the specific characteristics of service-oriented systems. This paper discusses the specifics of service-oriented systems, describes the paradigm related SoRE issues and provides an overview of the characteristics of service-oriented enterprise systems. All these specifics and issues entail different methodological approaches to SoRE. The special attention is given to requirements negotiation activity. The paper presents a view-based approach to derive the balanced service quality requirements from an initial set of stakeholders' needs.
Fast Ad Hoc Queries Based on Data Ontologies
Authors: Barzdins Janis  , Rencis Edgars  , Sostaks Agris
Published: February 2025

It is a very typical situation in many organizations that data gathered by their information systems are not used to their full potential. They can be processed only by IT professionals therefore limiting the scope of their usage. In this paper we propose a novel solution to the problem of how to get answers to ad hoc queries over the collected data in a way convenient to a domain expert. We exploit a concept of Star ontologies in order to develop a new kind of graphical query language that can be used by non-programmers. We explain the functioning of the language on an example of hospital domain.
Review of the strength theories
Authors: Valiakhmetov Ilmir
Published: February 2025

The paper deals with the classic and modern strength theories. Due to the fact that different materials under certain operating conditions have different ways of responding to the deformation (tension, compression, shear, torsion, bending), there are many theories of strength establishing a measure of the stress state, above which there is a transition from elastic state to the yield or failure.
The environmental performance of a reinforced precast concrete slab with void forming system
Authors: Hajdukiewicz Magdalena  , Lebrêne Jérémy  , Goggins Jamie
Published: February 2025

In some climates people spend approximately 90% of their lives indoors. Thus, it is very important to maintain healthy and comfortable conditions in buildings. The building sector is responsible for about 40% of the energy consumption and contributes related CO2emissions worldwide. Knowledge about the heat transfer and storage in concrete components of the building envelope and materials that comprise the envelope is vital in evaluating the environmental and energy performance of buildings. Providing sufficient thermal properties of the building envelope is crucial in delivering optimal indoor conditions while reducing the energy consumption in buildings.
Investigating the packing condition of porous asphalt mixture using Discrete Element Method
Authors: Chen Mengjia  , Wong Yiik Diew
Published: February 2025

Packing condition is an important factor to asphalt mixture's capacity in carrying traffic loads and resisting deformation, which is directly dependent on aggregate gradation. Porous Asphalt Mixture (PAM), with a characteristic feature of open-graded design, is advantageous in improving drainage, lowering noise level, and generating cooling effect, making it an appropriate material for a tropical country like Singapore. However, current gradation design methods are mostly based on dense asphalt mixtures, and little research has been conducted in providing explicit and direct parameters to represent the packing condition in a mixture. In this study, six PAMs were designed and relevant parameters were obtained from both laboratory experiments and Discrete Element Method (DEM) simulation. From four types of DEM models for each PAM group, it was found that particle-to-particle interlocking among coarser particles is affected by both size and amount of finer particles. In essence, DEM simulations showed that the development of packing condition among an assembly of particles is not only related to the percentage of fines fraction, but also the proportions of particles within various size ranges, and this finding corroborated with laboratory measurements of air voids content in the PAMs. This study indicates that DEM is an effective tool in analysing the packing condition in a mixture, and the findings should be a useful guide in PAM gradation design.
Effects of multi-walled carbon nanotubes on strength and interfacial transition zone of concrete
Authors: Van Tonder P.  , Mafokoane T.T.
Published: February 2025

Multi-walled carbon nanotubes (MWCNTs) were used to try and eliminate the aggregate interfacial transition zone. Different concrete mixes were used in fixed proportions along with varying concentrations of CNTs. The CNTs were applied in different concentrations, namely, 0.05 wt%, 0.1 wt% and 0.2 wt%, per dry weight. CNTs were dispersed using sonication. Concrete specimens were tested for compressive, flexural and split-tensile strengths. For each test, thirteen mix designs were investigated which included untreated aggregates and CNTs, and treated aggregates and CNTs. The results were compared with the results of the control concrete. The results showed that the use of CNTs improves the compressive, flexural and split-tensile strengths. It was concluded that CNTs minimize the ITZ.
Analysis of elongation variance of tendons using stress-strain graphs
Authors: Dundu Morgan  , Rupieper Sebastian
Published: February 2025

The South African design standards (SANS 2001-CC1 and COLTO) prescribes an elongation variation limit of ±6% and an average variation limit of ±3%. Most often these limits are exceeded in practice. If the elongation variation of a tendon falls outside the prescribed elongation limits it must be assessed by the engineer. This paper analyses data of bonded tendons from post-tensioned structures. The aim of this study is to explain the elongation variance of tendons in post-tensioned structures using selected stress-strain graphs. These structures include a reservoir (Mthatha 1-10) and a viaduct (Gautrain Jean Avenue P80).
Impact of environmental exposure on concrete strength in highway bridges in Uganda
Authors: Bakamwesiga Hilary  , Mwakali Jackson  , Sengendo Stephen  , Thelandersson Sven
Published: February 2025

Deterioration of concrete structures is a worldwide problem. Environmental exposure is known to affect concrete strength in structures. While moisture affects rebound values by lowering them, carbonation does the opposite. The aim of the study was to determine the in-situ concrete strength of three bridge elements, namely, pier, abutment and deck and evaluate the environmental conditions such as moisture and abrasive forces on the near surface of concrete. Acknowledging that destructive tests on concrete are expensive and time consuming, this research used rebound hammer test – a non-destructive test (NDT) method. The easiness, simplicity and portability of the rebound hammer made it possible to cover all 13 highway bridges in a period of two months. All the study sites were under the management of Uganda National Roads Authority (UNRA). The choice of test locations was based on BS 1881: Part 202. Rebound hammer tests were done on main elements of bridges namely, decks, piers and abutments. Where possible a maximum of 3 test points were chosen for every single test location. In addition to the universal machine calibrations, the rebound values were correlated to the standard concrete cube compressive strength using old concrete factors. Preliminary results show that although there is significant variation in concrete strength in both pier and abutment, the variation is relatively more pronounced in latter. The paper recommends a combined methodology involving the use of several NDTs to come up with sufficiently reliable results. In conclusion, the development of a formal Bridge Management System (BMS) to enable collection of data through regular monitoring and inspection programs would facilitate prioritization of Maintenance, Repair and Rehabilitation (MR&R) strategies.
Grounded Multi-Level Computations
Authors: Henno Jaak
Published: February 2025

Developments in Biology, Economy, Information Technology, Social studies etc have introduced and acknowledged the understanding that the whole world consists of Information Processing Systems (IPS). We understand rather well computations in man-made devices, especially in computers, and how these computations change the (logical) state of the world (pre- and post-conditions). But we do not have general model of computations which occur in natural IPS – living organisms and its subsystems, businesses, languages, social systems etc and how these computations change the environment where they proceed.
Flexible Information Integration with Local Dominance
Authors: Britell Scott  , Delcambre Lois M.L.  , Atzeni Paolo
Published: February 2025

Domain-specific web applications often need to integrate information from schematically heterogeneous sources that share some semantic similarities. These applications often include application widgets—where each widget may address a (potentially small) subset of the local schema. We seek to provide flexible integration where each widget may use its own “global” schema and use its own mapping to each local schema. It is possible for each such “global” schema to be mapped multiple times, in different ways, to a given local schema. Traditional information integration is too rigid to meet these requirements. Here, we define a new integration model that introduces a metamodel of small domain-specific schema fragments—called domain structures—that can be mapped to local schemas. We show how generic, polymorphic widgets can be created by writing queries against domain structures using an extended relational algebra that includes a local type operator to propagate local type names to the domain structures. By bringing the local semantics to the global level we create an integration system with local dominance where important, distinct local schema semantics are available globally.
Trust and Artifacts
Authors: Dalla Libera Fabio  , Kasaki Masashi  , Yoshikawa Yuichiro  , Koyama Tora
Published: February 2025

Trust has been markedly and intensely studied in a wide range of fields including, to name a few, philosophy, psychology, sociology, and economics. It is a common assumption that trust has normative aspects that are irreducible to economic rationality. We examine this claim by using artificial, ideally rational agents. If it turns out that artificial agents tend to trust each other while they only attempt to maximize their expected utilities, it may shed light on the genealogical question of how the normative aspects of trust arise for agents with no normative concern. In Section 1, we give a brief summary of the recent philosophical literature on trust, and proceed, in Section 2, to reporting the result of our simulation in which artificial agents archive a high degree of trust in their partners by taking account of the social history of interaction concerning other people, as opposed to the interactive history concerning themselves and their partners.
Shaping Robotic Minds
Authors: Fernández Castro Víctor
Published: February 2025

Social cognition research has focused on the debate on the nature of mechanisms underlying social abilities. However, the competing views in the debate share a basic assumption: mental states attribution is central for social cognition. The aim of this paper is twofold: firstly, I present an alternative framework known as mindshaping. According to it, human beings are biologically predisposed to learn and teach cultural and rational norms and complex cultural patterns of behaviour that enhance social cognition. Secondly I will highlight how this new framework can open new perspectives of research in the area of social robotics.
Brain Stroke Evaluation from Multi-image Modalities Using Image Registration and Segmentation Techniques
Authors: Jiang Ching-Fen  , Huang Wan-Chi
Published: February 2025

The mortality of acute ischemic stroke has been ranking the top three in the causes of death in Taiwan since the latest 20 years. Recently, the demarcation of ischemic penumbra areas during emergency treatment is usually carried out by manual delineation through visual inspection, suffering from poor inter-rater reliability and time-consuming. Therefore, this study developed a method to automatically derive ischemic penumbra areas by using image registration and segmentation techniques. The registration accuracy of 88.8% was achieved and the segmentation of ischemic penumbra was evaluated by comparing with expert's determination, revealing no significant difference. With the aid of that, clinicians can efficiently obtain a reliable index for the diagnoses and treatment of acute stroke.
Cloud Computing for Intelligent Information System: Large Scale Video Analysis for Long-Term Monitoring of Coral Fishes
Authors: Chou Hsiu-Mei  , Chang Jih-Sheng  , Lin Sun-I  , Lin Fang-Pang
Published: February 2025

Video Processing is a data-intensive computing task. It often involves many computing processes and data moving. Traditional high performance computing platform usually requires application to move data from storage facility to computing nodes, and data moving can become the bottleneck of whole process workflow as the application scales up. In this study, we designed a cloud computing platform, combined computing and storage facility, which can support large scale video processing. Our platform is demonstrated as successful using a real world application that processed 700+K video clips from long term underwater monitoring.
The Rule Search Method for Association Signatures on NetDPI
Authors: Liao Ming-Yi  , Cheng Tsung-Sheng  , Yang Chu-Sing
Published: February 2025

More and more network services appears on the Cloud. Mobile appliances to access network services. To keep the network services in high security is an important issue. Deep Packet Inspection system is for classifying the network traffic, network traffic statistics, and network security management. In the previous works, NetDPI is a DPI system based on Netfilter in Linux kernel. In this paper, we propose a rule search algorithm for the NetDPI system, and we show that the proposed method has better performance in rule search in the experiment result.
A Low-Cost Localization Algorithm for Mobile Sensor Networks
Authors: Chiou Dar-Wei  , Chang Guey-Yun  , Huang Jen-Feng
Published: February 2025

Most of existing localization algorithms for mobile sensor networks are based on the Sequential Monte Carlo (SMC) method. SMC-based methods has either high localization error in low-anchor density environments or high computation cost. In this paper, we propose a low cost localization algorithm. Our idea comes from the observation that a sensor node which hears an another node for a sufficiently long time has trajectory similar to the heard anchor node's trajectory. Simulation shows that our algorithm has low localization error, and low computation cost.
Scalable Routing Protocol for Wireless Sensor Networks Based on Gosper Islands
Authors: Chen Chi-Chang  , Chang Yukon  , Hung Jui-Ying  , Liang Jin-Hung
Published: February 2025

Most of the cluster-based routing protocols for wireless sensor networks (WSNs) use dynamic clustering approach, in which the clusters need to be reconstructed while the cluster heads are reselected after a number of rounds. This reconstruction procedure consumes a significant amount of extra energy due to the frequent exchange of control messages. In this study, we propose a hierarchical routing protocol for WSNs using static cluster construction with dynamic cluster-head selection. In the proposed protocol, called Hierarchical Hexagonal Clustering Mechanism (HHCM), the monitored region is tessellated by regular hexagons of the same size, and the sensors in each hexagon region are identified to form the first level clusters. In order to balance energy consumption, the cluster head of each cluster is selected according to the amount of current residual energy of the sensors in the cluster. The same approach is applied to the other higher levels of super-clusters, in which each super-cluster composes of seven lower level identical hexagons to form a hexagon-like region (a Gosper island). Extensive simulation shows that HHCM is effective in saving energy and therefore significantly prolongs the network life time.
A Handover Prediction Mechanism Based on Mobility in LTE-A
Authors: Wang Ying-Hong  , Huang Kuo-Feng  , Lin Yi-Hsun
Published: February 2025

3GPP Long Term Evolution-Advanced (LTE-A) defines a wireless network standard for high packet transmission rate and low packet latency provisions. When an user equipment(UE) moves away from signal range of serving cell may cause the received signal strength weakened, even if disconnected. To solve this problem, it is necessary to execute handover procedure. When executed handover procedure, it is may fail because to early handover, to late handover or handover to wrong cell and then occur packet loss or communication interruption problems. In this thesis, we propose predicted handover mechanism. User equipments provide history information for eNBs to estimate the user equipment's location and velocity. Based on history information, our proposed mechanism can achieve to handover the appropriate target cell. Through selecting the target cell efficiently, we can reduce the rate of handover failure and Ping-Pong handover. Finally, improving the UE's QoS. And conducted a simulation integration, combined with the user equipment velocity prediction mechanism and trigger time adjustment mechanism. Experimental results show that compared with the standard user equipment handover process can significantly reduce the rate of handover failure and Ping-Pong handover.
Missing Value Imputation on Multiple Measurements for Prediction of Liver Cancer Recurrence: A Comparative Study
Authors: Ping Xiao-Ou  , Tseng Yi-Ju  , Liang Ja-Der  , Huang Guan-Tarn  , Yang Pei-Ming  , Lai Feipei
Published: February 2025

The problem of missing values frequently occurs during data analysis. Imputation is one of the solutions to handle missing data. Clinical data often contain multiple measurements such as laboratory test results which are measured at different time points. In this study, we compared three imputation methods and their effects on different multiple measurement data sets with different sampling time periods. Data sets of liver cancer were used in this study for classification of liver cancer recurrence based on two types of classification models built by support vector machine (SVM) and random forests. The results report appropriate combinations of imputation methods and sampling time periods which achieve better classification results than those of other imputation methods and periods. These reported the leading imputation method with SVM is significantly different (P<0.001) from mean imputation with SVM which is frequently used by data sets with missing values.
Prefix Block-Interchanges on Binary Strings
Authors: Chou Shih-Wen  , Yang Chung-Han  , Chen Kun-Tze  , Lu Chin Lung
Published: February 2025

A block-interchange acting on a string s exchanges two non-overlapping but not necessary adjacent substrings in s. A prefix block-interchange is a special block-interchange in which one of the two exchanged substrings is restricted to a prefix of s. In this study, we study the problem of sorting by prefix block-interchanges on binary strings, which is to find the minimum number of prefix block-interchanges to sort a given binary string. In addition, we study the problem of computing the prefix block-interchange distance between two binary strings, which is to compute the minimum number of prefix block-interchanges to transform a given binary string into another given binary string. Consequently, we design a linear-time algorithm to solve the problem of sorting by prefix block-interchange on binary strings and also show that the problem of computing the prefix block-interchange distance between two binary strings is NP-hard.
Analyzing the BTI Effect on Multi-bit Retention Registers
Authors: Lin Ing-Chao  , Wang Yao-Te  , Yang Shuen-Shiang  , Wu Yi-Luen
Published: February 2025

As the Bias Temperature Instability (BTI) effect increase the threshold voltage of transistors and decrease transistors speed, it become a major problem for circuit reliability. Retention registers are used in the power gating architecture. These registers can keep the current states in the always-on blocks. However, they suffer from the BTI effect since the always-on block never is turned off.
A 2-approximation algorithm for the clustered minimum routing cost tree problem
Authors: Lin Chen-Wan  , Wu Bang Ye
Published: February 2025

The minimum routing cost spanning tree problem is a classic NP-hard problem, even for metric graphs. Given an edge-weighted graph, the problem asks for a spanning tree minimizing the sum of distances between all pairs of vertices. In this paper, we investigate a new variant named clustered minimum routing cost tree (CLUSTER MRCT) problem on metric graphs, in which the vertices are partitioned into clusters and the subtrees spanning clusters must be mutually disjoint in a feasible clustered spanning tree. We design a 2-approximation algorithm with time complexity O(n2) for CLUSTER MRCT, where n is the number of vertices of input graph.
Performance Comparison of Typical Routing Protocols in Ad-hoc Networks
Authors: Shen Jian  , Wang Chen  , Wang Anxi  , Li Lei  , Yang Yu  , Wang Jin
Published: February 2025

Mobile Ad-hoc Network (MANET) is a continuously self-configuring, infrastructure-less network. Each device in MANET moves independently and frequently, where the links between the devices are changeable and the whole topology of network is uncertain. To improve the feasibility of such network, a great deal of network-layer protocols has been designed to establish the reliable connections. In this paper, we compared the three typical routing protocols: Destination-Sequenced Distance-Vector Routing (DSDV), Dynamic Source Routing (DSR) and Ad-hoc On-Demand Distance Vector Routing (AODV), in terms of the packet delivery radio, normalized routing overhead and average end-to-end delay. Simulation results show that AODV has the best performance, except the situation where the number of sessions exceeds 10. In addition, we a developed performance analysis software named Performance Analysis Tool of Ad-hoc Routing Protocols (PATAPro), which can help us easily analyze the protocol performance. The description of PATAPro is presented in the appendix of this paper.
Efficient Mining of Frequent Target Episodes from Complex Event Sequences
Authors: Lin Yu-Feng  , Jiang Pei-Wen  , Tseng Vincent S.
Published: February 2025

Mining frequent episodes from event sequences is an important topic in data mining fields with wide applications. Most of the existing researches focused on mining frequent episodes from a single event sequence. However, sequences containing simultaneous events are frequently encountered and we refer to such sequences as complex event sequences. Moreover, for some practical applications, users are often interested in target episodes where the last event of an episode is the target event type. In this paper, we address the problem of mining frequent target episodes in complex event sequences. We first extend the state-of-the-art algorithm PPS to be PPS+, which serves as a basic method for mining episodes from complex event sequences. Then, we propose a novel algorithm named TEM-SES (Target Episode Mining using Simultaneous Events Set) to overcome the drawback of PPS+. Experimental evaluation demonstrates that the proposed TEM-SES algorithm outperforms PPS+ substantially in terms of execution time and memory consumption.
Interactive augmented reality system for supporting museum guided instruction
Authors: Lee Ko-Fong  , Chin Kai-Yi  , Lin Jim-Min
Published: February 2025

With advances in information communication technology, a growing number of studies now use computer-assisted instruction to support traditional museum instruction. However, due to limited budgets and manpower, most museums in Taiwan do not plan or provide digital guided services for students. Although students can use museums, they usually do not learn sufficient information without expert assistance, and they are easily distracted during museum instruction.
Classification of Generalized Graph-type (2,n)-Visual Secret Sharing Schemes and Optimal Construction for Multiple Secrets
Authors: Suga Yuji
Published: February 2025

Visual secret sharing scheme with access structure based on graph has been proposed and this can be considered as an extension of (2,n)-threshold VSS scheme. Ateniese et al. showed a decomposition method that we decompose star graphs from a given graph which edges are specified by qualified sets, that is two participants (vertices in a given graph) has a common edge if and only if participants can reconstruct the secret image by stacking the shares each other. This paper classifies graph-based VSS schemes and show several optimal examples and also proposes optimal construction about graph-based VSS scheme for (multiple) q secrets which pixel expansion is less than 3*q.
Hybrid Intrusion Detection Framework for Advanced Metering Infrastructure
Authors: Ruan He-Ming  , Yeap Gan Wei  , Lei Chin-Laung
Published: February 2025

Smart grid has recently been introduced to provide a smarter power grid with enhanced efficiency and reliability of new energy management via adding sensors and intelligent devices. Using bidirectional communication flow of electricity and information, smart grid builds a fully automated and highly distributed energy delivery network. The advanced metering infrastructure (AMI) is an essential system in the smart grid responsible for measuring, collecting, analyzing usage and metering devices communication either on request or on a schedule. In order to ensure the security and reliability of a modernized electric grid, it is critical to develop an effective attack prevention techniques and intrusion detection systems to protect advanced metering infrastructure. In this paper, we proposed a hybrid-based detection intrusion detection framework combining specification-based and signature-based technologies to handle both known and unknown attacks. Our proposed hybrid IDS framework is also feasible for deploying on resource-limited devices, such as concentrators or smart meters, in AMI.
A Security Assessment Environment and Process Design for Smart Meter Vendor Production Line
Authors: Kuo Chien-Ting  , Ruan He-Ming  , Chen Shih-Jen  , Lei Chin-Laung
Published: February 2025

As the security consciousness rising, information security for the energy infrastructure has become an important issue nowadays. This circumstance makes the security vulnerability discovering in the product line a crucial research domain. In this paper, we proposed a security assessment environment designed to assist smart meter vendors in enhancing the security of their products. We also combine a product development and evaluation process for maintaining the security requirement period to show the feasibility and the benefit of the proposed design.
Patient-centric Care and Chronic Disease Management: A Stakeholder Perspective
Authors: Stroetmann Karl A.
Published: February 2025

By taking a stakeholder perspective, the paper explores reasons why the political commitment to patient-centric integrated care, facilitated by eHealth applications, is so difficult to meet. In spite of hundreds of pilots, still today there is a dearth of evidence on how to indeed successfully organise such services. Outcomes from a variety of implementation projects supported by the European Union were analysed, focusing on benefits and costs for the diverse stakeholder groups involved or impacted. The re-engineering of the services may result in a considerable shift in these variables between groups. Rendering both positive clinical impacts and a positive (overall) socio-economic return is not sufficient to assure wide acceptance and long-term sustainability. However motivated stakeholders may be, few will operate against their economic interests. Successfully establishing modern eHealth facilitated services is not so much a technical, but a social, organisational, and business innovation. We need to better understand in detail the benefits and costs, or the new ‘business models’ that go with integrated care for each involved stakeholder group, and the likely impacts for each of them, with a focus on how to best assure a win-win situation for all. Health policy has to respond to this, and a promising approach would be to promote organisational integration with shared budgets and outcome targets.
Patient Perspectives on Patient Participation – Results From a Workshop with a Patient Council in a General Practice
Authors: Bertelsen Pernille  , Kanstrup Anne Marie  , Olsson Søren
Published: February 2025

The paper presents results from a workshop with a group of patients in a Danish General Practice (GP). The workshop facilitated a dialogue on patients' roles and activities in daily health care by using a participatory design inspired method and pointed towards a pluralistic view on patients' participation represented by the terms ‘mixed’, ‘social’ and ‘fluent participation’. The results challenge future research on Information and Communication Technology to support patient participation in health promoting activities by questioning how to embrace pluralistic opportunities for patient participation, which is especially important to GPs treating a broad group of patients.
Rec4LRW – Scientific Paper Recommender System for Literature Review and Writing
Authors: Sesagiri Raamkumar Aravind  , Foo Schubert  , Pang Natalie
Published: February 2025

In this paper, we introduce Rec4LRW, a recommender system (RS) for assisting researchers in finding research papers for their literature review and writing purposes. This system focuses on three researcher tasks – (1) Building a reading list of research papers, (2) Finding similar papers based on a set of papers, and (3) Shortlisting papers from the final reading list for inclusion in manuscript based on article type. A set of intermediate criteria are proposed to capture the relations between a research paper and its bibliography. The recommendation techniques for the three tasks in Rec4LRW are specifically devised on top of the intermediate criteria. The Rec4LRW workflow along with the screen designs for the three tasks is provided in this paper. The recommendation techniques in the system will be evaluated with state-of-the-art approaches along with user-based evaluation in subsequent studies.
FEMTI Taxonomy for Evaluating Machine Translation Models
Authors: Mizera-Pietraszko Jolanta
Published: February 2025

The aim of our experiment is to present interrelationship between some of the characteristics of MT (Machine Translation) systems and the quality of their output. The emphasis is placed on the machine translation models that determine output quality of these systems. In order to achieve our goal, a couple of MT systems have been tested on different text types prepared in two languages: English and French. The procedure of our evaluation is in strict conformity with a Framework for the Evaluation of Machine Translation in ISLE (International Standards for Language Engineering)[7]. In our study, we also consider user population as a factor that indicates different levels of the adequacy-oriented output to the users' needs. In conclusion, the backbone is made of the further study on incorporation of the database types and both the target as well as the source-language formalism which should be critical for designing universally usable MT system.
Developing a User-Centric Taxonomy of Games Using Repertory Grid Analysis
Authors: Min Aehong  , Lee Hyejung  , Lee Jungwoo
Published: February 2025

In general, game users (or players) recognize and classify games based on their own experience rather than the genre of game itself. The objective of this study is to identify the attributes of game based on user's perspectives, paying attention to understanding of game users and the diversification of game genres. To find those attributes, we conduct in-depth interview with twenty-two game users by using the Repertory Grid technique, which is a qualitative research method drawing personal cognitive constructs. As a result, we get to propose a new user-centric taxonomy of games, which includes general elements of games such as space, time, player structure, player relation, character, item in game, and user-based elements such as user's past experience, capacity, ownership and presentation. A meaningful implication of this study is that we can find cognitive attributes of games, which are elicited from game users without using general framework of game genre and elements. Also, the user-centric taxonomy of games is organized based on user's perspective and theoretical basis. We conclude that this taxonomy will contribute future game design and development to reflect users' perspectives, which is important to provide more user-centric games.
Exposing Different Orientations of Website Users: An Exploratory Analysis using Q Methodology
Authors: Lee Hyejung  , Lee Jungwoo
Published: February 2025

The purpose of this study is to explore and conceptualize different cognitive patterns found among website users in accessing and using websites. Following procedures defined in Q methodology, twenty one graduate students were recruited and asked to classify thirty seven website usability measures in terms of personal importance, in using their university websites. Three different cognitive patterns in using websites are identified: (1) use-focused, (2) goal-focused and (3) information-focused. Use-focused group concerns mostly about easy navigational features, error-free functionalities, and so on while goal-focused cares for explicit segmentation for different functionality, education-specific content and features, etc. Information-focused desires integrated search functions, information protection, timely update, etc. This research successfully applies Q methodology in identifying different cognitive patterns in play in accessing and using websites. Results provide convincing evidence to support different cognitive patterns in using websites, and suggest that these patterns be recognized and managed in constructing and maintaining websites.
Community Health Nursing through a Global Lens
Authors: Sarkar Norma  , Dallwig Amber  , Abbott Patricia
Published: February 2025

Community Health Nursing (N456) is a required senior clinical course in the undergraduate nursing curriculum at the University of Michigan in which students learn to assess and address the health of populations and communities. In 2012, we began our efforts to internationalize the curriculum using a globally engaged nursing education framework. Our goal is for all students to have an intercultural learning experience understanding that all students are unable to travel internationally. Therefore, this intercultural learning was implemented through a range of experiences including actual immersion, virtual activities (videoconferencing) and interventions with local vulnerable populations. Grants were obtained to provide immersion experiences in Quito, Ecuador and New Delhi, India. Several technologies were initiated with partner nursing schools in Leogane, Haiti and New Delhi, India. Weekly videoconferencing utilizing BlueJeans software and exchange of knowledge through the Knowledge Gateway facilitated intercultural exchange of knowledge and culture. Local clinical groups work with a variety of vulnerable populations. A private blog was developed for all sections to share community assessment data from local and international communities. Qualitative evaluation data was collected for local and international students to begin to assess cultural competence and student learning. Analysis of data documented increased awareness of culture and identified the many positive benefits of interaction with a global partner.
What are the Costs of Improving Access to Specialists through eConsultation? The Champlain BASE Experience
Authors: Liddy Clare  , Deri Armstrong Catherine  , Drosinis Paul  , Mito-Yobo Ferdinand  , Afkham Amir  , Keely Erin
Published: February 2025

Excessive wait times and poor access to care are among the most significant problems facing health care service delivery in Canada and beyond. We implemented the Champlain BASE eConsult service in the region of Ottawa, Canada to increase access to specialist care. We have collected ongoing utilization data and provider surveys over a three year period, providing a unique opportunity to explore the economic aspects of this multispecialty eConsult service. This is an economic evaluation from the perspective of the payer: the Ministry of Health and Long-Term Care of Ontario. All eConsults submitted during April 1, 2011 to March 31, 2014 were included. We attributed cost savings only to those cases where an eConsult led to the avoidance of a face-to-face specialist visit. A total of 2606 eConsults directed to 27 different speciality groups were included. In 40.3% (n=1051) of cases processed, a face-to-face specialist visit was originally planned but avoided as a result of eConsult, while 29% led to a referral. The estimated cost per eConsult for Years 1, 2, and 3 were $131.05, $10.34, and $6.45 respectively. Results from a sensitivity analysis project that the eConsult service will break even once we reach 7818 eConsults. This is one of the first studies to examine costs across a multispecialty eConsult service. We saw a marked decrease in the cost per eConsult over each annual period. Future research is needed to identify and examine similar outcomes that may lead to cost savings.
Investigation of the quality and effectiveness of telemedicine in children with diabetes
Authors: Chorianopoulou Aikaterini  , Lialiou Paschalina  , Mechili Enkeleint-Aggelos  , Mantas John  , Diomidous Marianna
Published: February 2025

In the 21stcentury technology has rapidly evolved and has managed to eliminate distances, and especially in the health sector. The purpose of this study is to investigate the families' satisfaction and effectiveness resulted from the use of telehealth services that are provided to children with diabetes mellitus type 1. The evaluation at the individual level (user) has been done by completing two questionnaires. The study involved 100 parents whose children have diabetes mellitus type 1 (50 using telemedicine and 50 without). The majority of parents involved in the study, thinks that their knowledge level on telemedicine system is sufficient (96%) and would recommend its use to other parents whose children have diabetes (82%). Meanwhile, 80% evaluate the telemedicine system as adequate.
Secondary Use of Structured Patient Data: Interim Results of A Systematic Review
Authors: Vuokko Riikka  , Mäkelä-Bengs Päivi  , Hyppönen Hannele  , Doupi Persephone
Published: February 2025

In addition to patient care, EHR data are increasingly in demand for secondary purposes, e.g. administration, research and enterprise resource planning. We conducted a systematic literature review and subsequent analysis of 85 articles focusing on the secondary use of structured patient records. We grounded the analysis on how patient records have been structured, how these structures have been evaluated and what are the main results achieved from the secondary use viewpoint. We conclude that secondary use requires complete and interoperable patient records, which in turn depend on better alignment of primary and secondary users' needs and benefits.
The impacts of blended learning design in first year medical studies
Authors: Gillois Pierre  , Bosson Jean Luc  , Genty Celine  , Vuillez Jean-Philippe  , Romanet Jean-Paul
Published: February 2025

In the first year of medical studies in France, students prepare for a highly selective entrance exam limited by numerus clausus into the second year. We have discontinued live lectures, made maximum use of new information and communication technologies and introduced tutorials in an attempt to make the first year more equitable and to personalise teaching. The reform is based on blended learning with flipped classroom organized into a four-week cycles of different activities. Each cycle corresponds to a learning module. The teachers' and students' opinions were analysed to evaluate the reforms and allow teaching methods to be adapted accordingly. The student profiles at registration and success in the exams following the reform are described. The tutorial's notes are correlated to the final scores at the entrance exam. The keys to success seem to be modified by the reform providing greater equality of opportunity between students. The factors associated to success are baccalaureate highest grades, high School Specialisation (maths, physics or earth and life sciences) and repeating the first year class. The use of blended learning allows us to face the increase of student enrolment, and to facilitate the acceptance of these pedagogical methods for both students and teachers.
Semantic integration of medication data into the EHOP Clinical Data Warehouse
Authors: Delamarre Denis  , Bouzille Guillaume  , Dalleau Kevin  , Courtel Denis  , Cuggia Marc
Published: February 2025

Reusing medication data is crucial for many medical research domains. Semantic integration of such data in clinical data warehouse (CDW) is quite challenging. Our objective was to develop a reliable and scalable method for integrating prescription data into EHOP (a French CDW). Method: PN13/PHAST was used as the semantic interoperability standard during the ETL process, and to store the prescriptions as documents in the CDW. Theriaque was used as a drug knowledge database (DKDB), to annotate the prescription dataset with the finest granularity, and to provide semantic capabilities to the EHOP query workbench. Results: the system was evaluated on a clinical data set. Depending on the use case, the precision ranged from 52% to 100%, Recall was always 100%. Conclusion: interoperability standards and DKDB, document approach, and the finest granularity approach are the key factors for successful drug data integration in CDW.