bluuebunny/crossref_metadata_2025 huggingface dataset:
Understanding narratives with argumentation
Authors: Bex Floris  , Bench-Capon Trevor
Published: February 2025

In this paper, we show two important connections between computational models of narrative and computational models of argumentation. First, we show how argumentation techniques can be applied to enrich story understanding, especially where an understanding the story requires understanding of the motives of its characters. This also helps to explain how stories can themselves be seen as as arguments for a particular ordering on values within a value based argumentation framework. We illustrate our discussion using biblical parables, taking as our main example the parable of the Good Samaritan.
Combining Paraconsistent Logic with Argumentation
Authors: Grooters Diana  , Prakken Henry
Published: February 2025

One tradition in the logical study of argumentation is to allow for arguments that combine strict and defeasible inference rules, and to derive the strict inference rules from a logic at least as strong as classical logic. An unsolved problem in this tradition is how the trivialising effect of the classical Ex Falso principle can be avoided when two arguments that use defeasible rules have contradictory conclusions. The problem is especially hard since any solution should arguably preserve current results on satisfaction of consistency and logical closure properties. One approach to solve the problem is to replace classical logic as the source for strict rules with a weaker, monotonic paraconsistent logic. This paper explores this approach in the context of the ASPIC+ framework for structured argumentation, by instantiating it with a paraconsistent consequence notion of Rescher & Manor (1970). The results are positive: satisfaction of the closure and consistency postulate is proven.
Revisiting Support in Abstract Argumentation Systems
Authors: Polberg Sylwia  , Oren Nir
Published: February 2025

Dung's original argumentation frameworks have been extended in various ways. One such extension introduces positive interactions, or support, between arguments. Frameworks containing evidential, necessary, and deductive supports have been proposed, and it is natural to compare these and analyse whether translations between these are possible. Although a positive answer was given in the necessary and deductive cases, it was claimed that evidential support cannot be expressed by any other type and that it cannot be handled together with them in a single framework. In this paper we show that it is not the case and that there exists a natural translation between argumentation frameworks with necessities and evidential argumentation systems.
Complete Assumption Labellings
Authors: Schulz Claudia  , Toni Francesca
Published: February 2025

Recently, argument labellings have been proposed as a new (equivalent) way to express the extension semantics of Abstract Argumentation (AA) frame-works. Here, we introduce a labelling approach for the complete semantics in Assumption-Based Argumentation (ABA), where labels are assigned to assumptions rather than whole arguments. We prove that the complete assumption labelling corresponds to the complete extension semantics in ABA, as well as to the complete extension semantics and the complete argument labelling in AA.
On Controversiality of Arguments and Stratified Labelings
Authors: Thimm Matthias  , Kern-Isberner Gabriele
Published: February 2025

We investigate the space of ordinal semantics, where the status of an argument is interpreted by a natural number. In doing so we do not only consider the usual acceptability-based approach for generalizing classical semantics to multi-valued semantics, i.e., positioning “undecided” arguments to be in between “in” and “out” arguments, but also a controversiality-based approach where we interpret the value “undecided” as being the most controversial status of an argument. We introduce stratified labelings as a novel semantical approach that follows the idea of a controversiality-based order of truth-values. We investigate general properties for ordinal semantics and of our approach of stratified labelings in particular.
States, Events, and Truth-makers
Authors: Botti Benevides Alessander  , Masolo Claudio
Published: February 2025

In the last decade, the debate about the ontological foundations of reified temporal logics (RTLs) has been relatively quiet, even though we think some problems still exist. In this paper, we identify some of these problems and propose (partial) solutions to them in a FOL framework. States are here characterized (at the syntactic level) as truth-makers of propositions—they reify true propositions—and events are built from states. These choices make the event-state distinction much crisper than the one characterized in terms of the (meta-)predicates HOLDS vs. OCCURS, which are necessary in RTLs but not in our theory. We also offer some epistemological arguments in favor of this choice.
A System of Spoken Subtitles for Estonian Television
Authors: Mihkla Meelis  , Hein Indrek  , Kiissel Indrek  , Räpp Artur  , Sirts Risto  , Valdna Tanel
Published: February 2025

Systems for automatic reading and broadcasting subtitles (spoken subtitles) are meant to eliminate the language barrier that TV-viewers with special needs (such as the visually handicapped and the dyslectics) may experience in watching TV films or broadcasts in foreign languages that are provided with subtitles. In such systems, a speech signal synchronised with TV subtitles is generated through a separate audio channel. The present article focuses on the questions that have arisen during the development and application of the system of spoken subtitles for Estonian Public Broadcasting: selection of a TTS system and of a synthetic voice, synchronization between the subtitles and synthetic speech utterances, and the marking of speaking turns. Such subjects as the editor interface of the system for automatic reading and broadcasting subtitles as well as the foreign names pronunciation database are also included.
Comparison of Rule-based and Statistical Methods for Grapheme to Phoneme Modelling
Authors: Auziņa Ilze  , Pinnis Mārcis  , Darǵis Roberts
Published: February 2025

Grapheme to phoneme modelling is one of the key features in automated speech recognition and speech synthesis. In this paper, the authors compare two different approaches: a statistical machine translation based method using the phonetically transcribed Latvian Speech Recognition Corpus and a rule-based method for phonetic transcription of words from grammatically correct forms. The paper provides 10-fold cross-validation results and error analysis for both methods.
Seek, and Ye Shall Not Necessarily Find: The Google Spain Decision, the Surveillant on the Street and Privacy Vigilantism
Authors: Oswald Marion
Published: February 2025

The law is not effectively addressing the potential harm caused by certain digital processing of personal data, as illustrated by the recent Google Spain judgment. A better way of dealing with privacy harms is to regulate at the point in the information lifecycle where the potential for harm is created. This article will review the Google Spain decision and reactions to it, consider the implications for new technologies that facilitate surveillance and profiling by individuals, such as Google Glass, and suggest that permitting limited privacy vigilantism might have a role to play in the solution.
A comparison of two MCDM methodologies in the selection of a windfarm location in Catalonia
Authors: Afsordegan Arayeh  , Sánchez Mónica  , Agell Núria  , Aguado Juan Carlos  , Gamboa Gonzalo
Published: February 2025

A case study in a social multi-criteria evaluation framework for selecting a windfarm location in the regions of Urgell and La Conca de Barberà in Catalonia is presented. Two different MCDM approaches are introduced and compared through their application to the mentioned case. On the one hand, a Qualitative TOPSIS methodology able to address uncertainty and, able to deal with different levels of precision is considered. On the other hand, we consider the results obtained by a non-compensatory outranking MCDM method. Both approaches are analyzed and their performance in the selection of a windfarm location is compared. Although results show that both methods conduct to similar alternatives rankings, the study highlights both their advantages and drawbacks.
Evaluation of Random Forests on large-scale classification problems using a Bag-of-Visual-Words representation
Authors: Solé Xavier  , Ramisa Arnau  , Torras Carme
Published: February 2025

Random Forest is a very efficient classification method that has shown success in tasks like image segmentation or object detection, but has not been applied yet in large-scale image classification scenarios using a Bag-of-Visual-Words representation. In this work we evaluate the performance of Random Forest on the ImageNet dataset, and compare it to standard approaches in the state-of-the-art.
Improving autonomous underwater grasp specification using primitive shape fitting in point clouds
Authors: Fornas David  , Sales Jorge  , Peñalver Antonio  , Pérez Javier  , Fernández J. Javier  , Sanz Pedro J.
Published: February 2025

This paper presents a research in progress towards autonomous underwater robot manipulation. Current research in underwater robotics intends to increase the autonomy of intervention operations that require physical interaction. Autonomous grasping is still a very challenging skill, especially in underwater environments, with highly unstructured scenarios, limited availability of sensors and adverse conditions that affect the robot perception and control systems in various degrees. To tackle those issues, we propose the use of vision and segmentation techniques that aim to improve the specification of grasping operations on underwater primitive shaped objects. Several sources of stereo information are used to gather 3D information in order to obtain a model of the object. Using a RANSAC primitive shape recognition algorithm, the model parameters are estimated and a set of feasible grasps are computed. This approach is validated in simulation and the quality of different 3D reconstructions from both real and virtual scenarios is analyzed.
Emotions Classification using Facial Action Units Recognition
Authors: Sanchez-Mendoza David  , Masip David  , Lapedriza Àgata
Published: February 2025

In this work we build a system for automatic emotion classification from image sequences. We analyze subtle changes in facial expressions by detecting a subset of 12 representative facial action units (AUs). Then, we classify emotions based on the output of these AUs classifiers, i.e. the presence/absence of AUs. We base the AUs classification upon a set of spatio-temporal geometric and appearance features for facial representation, fusing them within the emotion classifier. A decision tree is trained for emotion classifying, making the resulting model easy to interpret by capturing the combination of AUs activation that lead to a particular emotion. For Cohn-Kanade database, the proposed system classifies 7 emotions with a mean accuracy of near 90%, attaining a similar recognition accuracy in comparison with non-interpretable models that are not based in AUs detection.
Experimental study of time dependent bond transfer length under pure tension in slabs
Authors: Vakhshouri Behnam  , Nejadi Felix Shami
Published: February 2025

In a member subjected to pure tension, the stress in concrete is uniform over the whole concrete section. It is assumed that a local bond failure occurs at each crack and there are relative displacements or slip between the steel and the surrounding concrete. Compatibility of deformation between the two materials is thus not maintained. The bond transfer length is a length of reinforcement adjacent to a crack where the compatibility of deformation between the steel and concrete is not maintained because of partially bond breakdown and slip. It is an empirical measure of the bond characteristics of the reinforcement, incorporating bar diameter and surface characteristics such as texture-etc. Based on results from a series of long term tests on eight restrained reinforced concrete slab specimens and accurate measurements of material properties including the creep and shrinkage characteristics of two concrete batches, the ratio of final bond transfer length (d*0) (after all shrinkage cracking) to d0is presented. Experimental results show that shrinkage causes the bond to deteriorate with time.
Potentiodynamic polarization study of the corrosion characteristics of acid mine drainage
Authors: Ekolu Stephen O.  , Diop Souleymane  , Azene Firehiwot
Published: February 2025

Potentiodynamic tests were carried out to evaluate the attacking characteristics of acid mine drainage (AMD) from South African mines. Tests were done using seven solutions of:- AMD water taken from the field and consisting of two AMD sources from the gold mines and two sources from the coal mines; sulphuric acid, distilled water, synthetic AMD prepared in the laboratory. Tests were done at normal room temperature of 23°C using mild steel and stainless steel samples.
Fundamentals of plastic settlement cracking in concrete
Authors: Combrinck Riaan  , Boshoff William Peter
Published: February 2025

The durability of flat concrete elements such as floor slabs and bridge decks remains a concern. One of the main causes of durability issues is the corrosion of reinforcing steel in the concrete. Since the presence of cracks significantly accelerates the corrosion process it is of utmost importance to prevent cracking if the expected service life of concrete is to be reached. This paper investigates the crack formation due to plastic settlement, since plastic settlement cracking is the earliest form of cracking in concrete it arguably has one of the highest potentials to reduce the service life of a concrete structure. Plastic settlement cracking occurs once the concrete has been cast up to the initial setting time which indicates that the concrete is no longer in a plastic state. The mechanism of cracking is differential settlement of the concrete due to vertical restraints in the form of imbedded reinforcing steel or a non-uniform depth. Once these cracks have formed they act as locations for further crack growth due to volume changes such as drying shrinkage. Although plastic settlement cracks can be mitigated through the re-vibration or the sequential placement of the concrete, both methods are practically difficult to implement for large concrete pours. Due to the early occurrence and difficulty associated with mitigating these cracks it is imperative to fundamentally understand the behaviour of these cracks, if they are to be prevented. The results identified three distinctly different defects due to plastic settlement cracking described as follows: 1) Shear cracks starting from the bottom upwards at an angle at both the left and right outermost points of the reinforcing steel bar; 2) Tensile cracks starting from the surface downward; 3) Water pockets beneath the reinforcing steel bar. The results also showed that the severity of the cracking increases with a decrease in cover depth and spacing of reinforcing steel. The shear cracks tend to approach the behavior of tensile cracks as cover depth decreases.
Experimental bond behaviour between textile reinforced cement and concrete:
Authors: Wozniak Maciej  , Tysmans Tine  , Vantomme John  , De Sutter Sven
Published: February 2025

Utilisation of high-strength fibres (such as carbon, glass or aramid) is becoming an interesting alternative for reinforcing structures in the building industry. Textile reinforced cement (TRC) composites, which combine the high tensile strength of fibres with the high compressive strength and stiffness of cement-based materials, are widely investigated for their various applications: strengthening and retrofitting of existing concrete structures, stay-in-place formwork, prefabrication of slabs, seismic design, etc. The weak point of such mixed concrete – TRC composite structures is the insufficient knowledge of the mechanical behaviour of the interface between both materials, preventing their effective utilisation. To facilitate understanding of the materials' interaction, we present a state-of-art on the direct bond tests between fibre-reinforced cement composites and concrete, as well as new experimental results achieved by our research group. The literature review shows that the problem is widely investigated in the scientific community, however, due to its complexity it is still an unresolved issue. New bond experiments were performed based on a modified double-lap shear test as proposed by D'Ambrisi et al. As the results show, the test set-up eliminates the influence of parasitical bending and allows continuous monitoring of the entire strain field at the interface. The results of the experiments are promising and validate the proposed bond test set-up. The test results can be used for creating a numerical bond model and contribute to future design recommendations.
Using Crowdsourcing Games Techniques and Similarity Metrics to Improve Legal Ontologies Expansion
Authors: Bueno Tania C.D.  , Roggia Karina G.  , Hoeschl Hugo C.
Published: February 2025

Ontologies are hard to obtain and are almost exclusively built by human experts, what makes them difficult to validate and even more time-consuming. The comparison of the taxonomy structure combined with the calculation of similarity between labels is insufficient for this task for several reasons, most notably because an ontology language only provides tools to represent the knowledge and does not dictate how this knowledge representation is to be achieved. Thus, two ontologies built by two people for the same domain might be entirely different in structure. The objective of this work is to demonstrate that crowdsourcing games techniques are able to improve the process of juridical ontology validation. Crowdsourcing games emerged as an alternative to solving computational problems hard to be solved by machine computation (which includes acquiring semantic structures), via aggregation of knowledge provided by many non-expert users making it more accurate. Thus, the crowdsourcing games allow environment of ontology construction in the Multilingual Editor of Legal Ontologies, which allows the acquisition, management and sharing of ontologies. The advantage of crowdsourcing approaches against the expert-based approaches is a much greater scale of discovered semantics. This work uses Ontojuris Knowledge Base (24410 Brazilian Laws and Decrees) and a Ontojuris Domain Ontologies (Human Rights) in the context of indigenous population in Latin America.
Visualization of Ontologies on the Basis of Cognitive Frames for Knowledge Transmission
Authors: Lomov Pavel  , Shishaev Maxim
Published: February 2025

In this work the ontologies visualization technology, focused first of all on simplification of getting knowledge from them by the expert is offered. For this purpose it is proposed to form for concepts of ontology special structures – cognitive frames. Each cognitive frame includes the build in a special way fragment of ontology and the visual image, corresponding to it. It is expected that showing cognitive frames for a concept during visualization instead of just showing any terms linked with it will be more useful for presenting of the concept's meaning. In this paper, we consider only the forming the content of cognitive frames based on common relationships from the upper-level ontologies such as “taxonomy”, “partonomy” and “dependence”. We also provide experiment evaluating the cognitive qualities of frames created for the concepts of application ontology.
Modeling of classification error rate based on neural networks learners
Authors: Brumen Boštjan  , Rozman Ivan  , Černezel Aleš
Published: February 2025

Background: A general, restrictions-free theory on performance of arbitrary artificial learners has not been developed yet. Empirically, not much research has been per-formed on the question of an appropriate description of artificial learner's performance.
Formation of a Collaborative Society
Authors: Burita Ladislav  , Ondryhal Vojtech
Published: February 2025

The MilUNI knowledge portal, based on the knowledge base developed in ATOM software has been created at the authors' workplace with the aim to form a collaborative society of military universities. The analysis of the collaborative society concept is presented. The description of the MilUNI project is included. Some areas for university cooperation are proposed, as well as the measures facilitating the formation and development of the collaborative society.
Comparisons between Three Cross-Validation Methods for Measuring Learners' Performances
Authors: Černezel Aleš  , Rozman Ivan  , Brumen Boštjan
Published: February 2025

Background: Measuring the performance of a classifier is crucial when trying to find the best machine-learning algorithm with optimal parameters. Multiple methods are available in this regard and the more common is the k-fold cross-validation. Other similar methods are the bootstrap method and the k-fold repeated cross-validation.
Study on fibrous materials for brain phantoms
Authors: Guise Catarina  , Fangueiro Raul  , Nóbrega João Miguel  , Schneider Walter
Published: February 2025

Generally, current clinical imaging methods do not provide highly detailed information about location of axonal injury, severity of injury or expected recovery of patients with traumatic brain injury (TBI). High-Definition Fiber Tractography (HDFT) is a novel imaging modality that allows visualizing and quantifying, directly, the degree of axons damage, predicting functional deficits due to traumatic axonal injury and loss of cortical projections. This imaging modality is based on diffusion technology. Being a novel modality, validation and quality control are essential. Thus this study aims at the development of a brain phantom to mimic the human brain in order to fill some gaps that currently exist in this area. This paper is focused on this novel imaging approach, the role of brain phantoms on its validation and the quality control, as well as, on the materials used in their construction. Furthermore, some important characteristics of fibrous materials for brain phantom are also discussed.
Automatic classification of segmented MRI data combining Independent Component Analysis and Support Vector Machines
Authors: Khedher Laila  , Ramírez Javier  , Górriz Juan Manuel  , Brahim Abdelbasset
Published: February 2025

This paper proposes a novel method for automatic classification of magnetic resonance images (MRI) based on independent component analysis (ICA). Our methodology consists of three processing steps. First, all the MRI scans are normalized and segmented into gray matter, white matter and cerebrospinal fluid. Then, ICA is applied to the preprocessed images for extracting relevant features which will be used as inputs to a support vector machine (SVM) classifier in order to reduce the feature space dimensionality. The system discriminates between Alzheimer's disease (AD) patients, mild cognitive impairment (MCI), and normal control (NC) subjects. All MRI data used in this work were obtained from the Alzheimers Disease Neuroimaging Initiative (ADNI). The experimental results showed that our methodology can successfully discriminate AD and MCI patients from NC subjects.
Representing Human Expertise by the OWL Web Ontology Language to Support Knowledge Engineering in Decision Support Systems
Authors: Ramzan Asia  , Wang Hai  , Buckingham Christopher
Published: February 2025

Clinical decision support systems (CDSSs) often base their knowledge and advice on human expertise. Knowledge representation needs to be in a format that can be easily understood by human users as well as supporting ongoing knowledge engineering, including evolution and consistency of knowledge. This paper reports on the development of an ontology specification for managing knowledge engineering in a CDSS for assessing and managing risks associated with mental-health problems. The Galatean Risk and Safety Tool, GRiST, represents mental-health expertise in the form of a psychological model of classification. The hierarchical structure was directly represented in the machine using an XML document. Functionality of the model and knowledge management were controlled using attributes in the XML nodes, with an accompanying paper manual for specifying how end-user tools should behave when interfacing with the XML. This paper explains the advantages of using the web-ontology language, OWL, as the specification, details some of the issues and problems encountered in translating the psychological model to OWL, and shows how OWL benefits knowledge engineering. The conclusions are that OWL can have an important role in managing complex knowledge domains for systems based on human expertise without impeding the end-users' understanding of the knowledge base. The generic classification model underpinning GRiST makes it applicable to many decision domains and the accompanying OWL specification facilitates its implementation.
Unsupervised Information Extraction from Italian Clinical Records
Authors: Alicante Anita  , Corazza Anna  , Isgrò Francesco  , Silvestri Stefano
Published: February 2025

This paper discusses the application of an unsupervised text mining technique for the extraction of information from clinical records in Italian. The approach includes two steps. First of all, a metathesaurus is exploited together with natural language processing tools to extract the domain entities. Then, clustering is applied to explore relations between entity pairs. The results of a preliminary experiment, performed on the text extracted from 57 medical records containing more than 20,000 potential relations, show how the clustering should be based on the cosine similarity distance rather than the City Block or Hamming ones.
Communication-Theoretical Issues in Social Robotics
Authors: Ess Charles  , Sugiyama Satomi  , Sandry Eleanor  , Pfadenhauer Michaela
Published: February 2025

The panel session was based on the material currently under review for a special issue in the International Journal of Social Robotics. The following text is a compilation of the abstracts for a panel session consisting of (a) introduction and (b) short presentations of three papers. The abstracts printed here are for research articles that are currently under final review.
A Philosophical Look at the Uncanny Valley
Authors: Angelucci Adriano  , Bastioni Manuel  , Graziani Pierluigi  , Rossi Maria Grazia
Published: February 2025

In this work, we describe the key points of a project concerning the philosophical analysis of the uncanny valley phenomenon. We consider the uncanny effect as a specific case of recognition failure. In particular, we suggest that the emotion of disgust, broadly construed, may have an important role to play in our understanding of the uncanny, highlighting the existence of a link connecting the uncanny to the multifaceted psychological and social phenomenon of Dehumanization.
Brains on Wheels: Theoretical and Ethical Issues in Bio-Robotics
Authors: Bentzen Martin Mose
Published: February 2025

A number of theoretical problems and a couple of ethical issues in bio-robotics are investigated. It is found that claims made by researchers to have constructed robots controlled by rat brains are not fully justified by the results of current research. Further, the ethical implications of the research are currently unclear.
Autonomous Killer Robots Are Probably Good News
Authors: Müller Vincent C.  , Simpson Thomas W.
Published: February 2025

Will future lethal autonomous weapon systems (LAWS) or ‘killer robots’, be a threat to humanity? In this policy paper, we argue that they do not take responsibility away from humans; in fact they increase the ability to hold humans accountable for war crimes. Also, using LAWS in war, as compared to a war without them, would probably make wars a bit less bad through an overall reduction of human suffering, especially in civilians. Finally, the availability of LAWS would probably not increase the probability of war or other lethal conflict – especially as compared to extant remote-controlled weapons. The European Parliament and a UN special rapporteur have called for a moratorium or ban of LAWS, supported by the vast majority of writers and campaigners on the issue. The ‘Contracting Parties to the Geneva Convention at the United Nations’ are presently discussing such a ban. However, the main arguments in favour of a ban are unsound. We are afraid of killer robots, but we should not be: They are probably good news.
Affordances and Affordance Space: A Conceptual Framework for Application in Social Robotics
Authors: Lindner Felix  , Eschenbach Carola
Published: February 2025

Socially aware robots have to coordinate their actions considering the spatial requirements of the humans with whom they interact. We propose a general framework based on the notion of affordances that generalizes geometrical accounts to the problem of human-aware placement of robot activities. The framework provides a conceptual instrument to take into account the heterogeneous abilities and affordances of humans, robots, and environmental entities. We discuss how affordance knowledge can be used in various reasoning tasks relevant to human-robot interaction.
Varieties of the ‘As If’: Five Ways to Simulate an Action
Authors: Seibt Johanna
Published: February 2025

Much of the ethical debate about social robotics applications hinges on the ontological classification of our interactions with robots, but a detailed ontological account of simulated social interaction is still missing. In this paper I briefly explain why characterizations of human-robot interactions are best undertaken in a neutral, ‘technical’ idiom. Then I define five modes of simulation (functionally replicating, imitating, mimicking, displaying, and approximating) in terms of relations between processes. I sketch how these notions can be used to describe more precisely what a certain robot ‘can do.’ In conclusion I sketch a general strategy for developing a fine-grained taxonomy of social interactions.
Cost Analysis of Deep Packet Inspection in PCC Architecture
Authors: Lin Chuan-Sheng  , Sou Sok-Ian
Published: February 2025

Along with being more popular of the mobile device, there are more and more mobile applications have been developed nowadays. However among these applications are “Over-The-Top (OTT)” applications which have been provided by the vendor of applications holds the biggest amount of them. And OTT merely use bandwidth which is offered by operators and this has caused operator have to afford a big amount of money for bandwidth but with very less income in return. Hence, here are many operators trying their best to join the mechanism of Deep Packet Inspection (DPI), and then assign the packets with different Quality of Service (QoS) rules according to their different kinds of signature. However to the router and backbones this will be a heavy burden. Consequently, this research mainly analyze how the mechanism of the DPI affects the Policy Control and Charging (PCC) System, and moves forward a step to investigate the rate of identification of DPI at different detecting rate in order to get the high successful detection rate but with the lower cost. In conclusion, this research's main purpose is to build reference of DPI mechanism.
The Rate of Merging Collision in TDMA-Based VANETs
Authors: Huang Jeng-Ji  , Ho Min-Hui
Published: February 2025

We consider vehicular ad hoc networks (VANETs) in which time division multiple access (TDMA) is employed on the control channel. In order to avoid hidden terminal problems, a time slot can be reserved by a vehicle only when the time slot is unreserved by its one-hop and two-hop neighbors. However, frequent topology changes in VANETs may lead to conflicts between time slot reservations, causing reselection of time slots by vehicles. This problem is known as merging collision. An analytical model is thus proposed in this paper to evaluate the rate of merging collision incurred by a vehicle. We show that the proposed analytical model can provide very accurate results over a wide variety of vehicle traffic densities, as compared with computer simulations.
Switched Capacitor Low-Pass Filter Chip Design for LTE Wireless Communication and Mobile Computing Application
Authors: Lai Wen-Cheng  , Huang Jhin-Fang  , Chen Wei-Chih  , Chiu Ta-Chen
Published: February 2025

In this paper, a fifth order curer low-pass filter using as switched-capacitor (SC) architecture is proposed and fabricated with TSMC 0.18 um CMOS process. A fully differential SC is adopted via the bilinear transform of the corresponding analogue RLC passive prototype. To reach the largest possible input dynamic range and save chip area, the method of dynamic range scaling and minimum capacitor scaling is used. Measured results show that the proposed filter achieves a pass-band of 16 MHz with a sampling rate of 150 MHz, a stop-band attenuation greater than 30.7 dB and a power consumption of 92 mW. Including pads, the chip area occupies 1.8816 (1.12 × 1.68) mm2for LTE wireless communication and mobile computing application.
A Method of Signal Sparse in Wireless structural health monitoring based on Compressive Sensing
Authors: Ji Sai  , Yang Ping  , Guo Ping  , Xu Xin  , Wang Jin  , Sun Yajie
Published: February 2025

Compressive sensing (CS) is a novel compressive sampling method applied to the compressible signal in wireless sensor networks (WSN) based structural health monitoring. Using this method, the number of sensors for SHM is greatly reduced, so that the data acquisition has a smaller redundancy. Signal sparsity and sampling of irrelevance is both the premise of the CS method. Among them, the signal sparsity refers to the signal sparse representation which has great influence on the signal reconstruction in SHM. This paper discusses a method of signal sparse based on wavelet basis and analysis the signal sparse performance for SHM under different wavelet orthogonal basis. Experimental results show that the sparse decomposition performance is best when the wavelet orthogonal basis chose db5 or db6. Data analysis showed that signal sparse under db5 or db6 can ensure signal reconstruction accuracy, improve the compression rate and reduce data and transmission cost.
An Architecture for Mobile App and Cloud Service Integration
Authors: Hu Kevin  , Huang Cheng-Chieh
Published: February 2025

Enterprise application architecture is continuously evolved with technology development. We argue the new enterprise application architecture, A/S (App/Service) should be developed. This article proposes an A/S architecture model. Through this model, enterprise can simply develop, deploy and execute applications/services cross different mobile platforms and integrate heterogeneous cloud services. Moreover, enterprise can effectively create innovation applications and services.
Design of Low-Complexity 4-Path Dynamic Reconfigurable MDC FFT Processor
Authors: Lee Trong-Yen  , Chen Wei-Cheng  , Huang Chi-Han
Published: February 2025

Fast Fourier Transform (FFT) plays an important role in Orthogonal Frequency-Division Multiplexing (OFDM) system. This work propose a 4-path Multipath Delay Commutator (MDC) which can increase throughput of FFT processor and propose a method of reducing Twiddle Factor (T. F.) computational circuit area by using trigonometric complementary theorem. The twiddle factor computational circuits can be reached by a right shift circuits, which reduced the design complexity. But different protocols use different FFT-Point. Partial Dynamic Reconfiguration (PDR) capable of switching time-independent circuits, which increase the flexibility of system design. This FFT processor used 64-Point FFT as a static area circuit, and configured other FFT Points as Reconfigurable Modules (RMs). System can configure 64 to 512-Point under different environment. And using PDR also reduced the occupied hardware resources. From experimental results shown that the proposed design can increase the throughput of FFT processor, and maximum reduce 76.6% number of slices and 58.4% number of flip-flops utilization.
Line Probe Routing Algorithm Implementation for SOC
Authors: Fan Yang-Hsin
Published: February 2025

In this paper, we implement line probe routing algorithm (LPRA) to solve SOC routing issues. Two modules in LPRA named replace procedure and escape process. The former aims to normalize line for various lengths and the latter generate and insert escape points between source and destination point for routing. Two useful functionality, complex rate and the number of vertex, are developed for various SOC applications. To improve the routing performance, LPRA reduce the memory requirement than Lee's algorithm. Finally, two routing examples and five test cases are used to demonstrate the feasibility for the proposed LPRA.
A DHT-based Resource Provision Enquiry for Cloud Computing Interoperability
Authors: Chou Li-Der  , Jen Chi-An  , Li David Chunhu  , Lin Chun-Tse
Published: February 2025

Internet users can access and utilize various resources from different cloud service providers with cloud computing. An efficient resource query mechanism is essential to assist the users easily and quickly obtain available cloud services. In this paper, a Distributed Hash Table (DHT) based resource provision enquiry mechanism, namely DRPE mechanism, is designed to achieve the interoperability in cloud computing. Our query method enhances Content Addressable Network (CAN) with locality and contains characteristics of distribution, high expansion, and prevention of single peer breakdown. We examine the performance of DRPE with PeerSim and simulation results show that the average hop numbers of enquiry packets and query packets numbers of DRPE significantly reduced when compared with CAN.
Extending lifespan of a sensor network by partial coverage strategy
Authors: Kao Peng-Hsiang  , Wang Xuan-Bo  , Lin Yu-Yun  , Wang Lei
Published: February 2025

For the design of the topology and the operation of a wireless sensor network, many researchers are focusing on how to take advantage of all sensor nodes to collect information that covering the whole sense area. This strategy can be classified as complete coverage strategy. Although most of these studies try to lengthen the lifespan under the construction of wireless sensor network, they neglect the truth that the goal of lengthening lifespan is conflict with the complete coverage strategy due to the overlapping of sensor area among nodes result in unnecessary waste of energy. Based on the above observation, the paper proposes another proposition from the idea of partial coverage strategy. A near perfect coverage rate can be achieved by least nodes to save the energy of the whole network. The proposed topology is constructed by clustered structure. According to the simulation results that are made by comparing with the classic clustered topology, LEACH, and an improved method proposed recently. The study find that the method proposed in this paper can double the lifespan of a wireless sensor network under the same condition.
Maximum-Lifetime Least-Cost Multicasting in MANETs based on Heuristic Genetic Algorithm
Authors: Lu Ting  , Liu Guohua  , Chang Shan  , Guo Wenjing  , Huang Qiubo
Published: February 2025

All nodes in a mobile ad hoc network are usually powered by limited battery energy. The consideration of multicast lifetime in mobile ad hoc network prevents the problem of rapid depletion of node energy, thus possibly leading to the interruption of the multicast service and reconstruction of the multicast tree. We study the multicast routing in mobile ad hoc networks to extend multicast lifetime and minimize transmission cost. A heuristic genetic algorithm is presented for constructing the least-cost multicast tree with the longest lifetime. Simulation results show that the proposed algorithm is effective and efficient.
An Effective Group Communications in Hybrid VANET
Authors: Liu I-Hsien  , Wang Tian-Li  , Li Jung-Shian
Published: February 2025

VANET applications are initially for safety purpose. Now, infotainment applications with group communication among vehicles are in the lime-light. In this research, we propose an overlay construction scheme to support multiple group communication in hybrid VANET. More specifically, we deal with group isolation which has a great impact on overlay reliability. By incorporating 3G access, the limited DSRC transmission rage is complemented with long range transmission nature of infrastructure-based 3G network. With an initialized overlay in DSRC manner, we propose 3G management scheme, including 3G peer list maintenance, upstream helper selection and helper discovery via overlay multicast. By taking advantage of the feature of tree-based overlay, the helper discovery scheme is triggered by isolated group members on demand. After helper discovery process, the helper selection scheme is also discussed. There are two most common situations leading to group isolation in VANET environment. The first one is group separation at intersection, and the other one is group separation at traffic light. In both situations, group members are suddenly split into two or more subgroups. The simulation result based on the two situations under different group model shows good overlay sustainability with proposed scheme.
IDP: An Innovative Data Placement Algorithm for Hadoop Systems
Authors: Lee Chia-Wei  , Huang Horng-Chyau  , Hsieh Sun-Yuan
Published: February 2025

In this paper, we propose a data placement strategy to deal with the imbalanced workload problem on DataNodes. Basing on computing capability of each node in a heterogeneous Hadoop cluster, the proposed strategy can balance the data that was stored in the DataNode such that the cost of data transfer time can be tremendously reduced. As a result, the Hadoop overall performance can be greatly improved. Experimental results demonstrate that the proposed data placement strategy can highly decrease the execution time and thus improves Hadoop performance in a heterogeneous cluster.
Analysis of Big Data Sized NoSQL Database with Secondary Index
Authors: Chang Bao Rong  , Tsai Hsiu-Fen  , Chen Chia-Yen  , Hsu Hung-Ta
Published: February 2025

This paper introduces the combination of NoSQL database HBase and enterprise search platform Solr so as to tackle the problem of the secondary indexing function with fast query. In order to verify the effectiveness and efficiency of the proposed approach, the assessment using C-P ratio has been done for several competitive benchmark databases and the proposed one. As a result, our proposed approach outperforms the other databases and fulfills secondary indexing function with fast query in NoSQL database.
A User Interactive Experience for One-handed Operation of Hand-held Devices
Authors: Chen Tseng-Yi  , Chen Heng-Yin  , Jhang Nai-Yuan  , Shih Wei-Kuan
Published: February 2025

A mobile device is a pocket-sized computing device with a touchscreen. Using a touchscreen as an Input/Output device, many applications, known as Apps, have been developed to interact with humans in as natural a way as possible. In most cases, the user interactive interface for mobile applications is designed to allow interaction with users via multiple buttons on a touchscreen. Conventionally, to press a button on a touchscreen, a user uses one hand when the mobile device is small. However, recently, touchscreens for mobile devices have become larger than those of traditional hand-held devices. The Samsung Note, the ASUS Phone Pad and the iPad mini are examples. Because manufactures have enlarged the size of mobile devices, users use an entire hand to interact with applications, which is difficult. In addition, in some situations, users cannot use a pair of hands to interact with applications. To resolve this issue, using the Android system, this study proposes two novel user interactive interfaces, which guarantee that users can interact with applications using one hand, even if the touchscreen is large. In the demonstration, one-handed operation of the mobile device is shown to be easy.
Efficient public key encryption with user-friendly keywords search for searchable cloud storage
Authors: Chen Kuo-Chang  , Chen Yu-Chi  , Horng Gwoboa  , Tso Raylin
Published: February 2025

Protecting private data becomes very important in communication with the widespread adoption of the cloud storage system; for example, Dropbox, SkyDrive and iCloud. A user should be able to access his private data from cloud, and efficiently retrieves data which he wants. In fact, a straightforward solution to protecting user's private data is encryption. Relying on keyword search over the encrypted data is very useful and efficient to retrieve from the untrusted cloud storage. In this scenario, a sender can send encrypted data, and the receiver can generate trapdoors from keywords to retrieve those data which include the keywords. Recently, Zhang and Zhang proposed a field-free public key encryption with user-friendly keywords search. In this paper, we present a searchable public key encryption with user-friendly keywords search. The proposed scheme is secure based on secret sharing and the hardness of discrete logarithm problem. It is more efficient than Zhang and Zhang's scheme on computation. Moreover, we also analyze that this scheme satisfies some properties, which is suitable to data deliver/retrieval in cloud storage.
Reversible Data Hiding Method based on CSD Data Representation
Authors: Li Kuo-Hui  , Li Chien-Sung  , Wang Shuenn-Shyang  , Liao Yi-Pin
Published: February 2025

In this paper, we propose a new reversible data hiding method based on canonical signed-digit (CSD) data representation. To increase the data hiding quality, the embedded data is represented by CSD. To embed data efficiently, the original image is divided into smaller blocks and transformed by an invertible integer transform, and then the CSD data are embedded by histogram modification. The invertible integer transform which calculates the mean and difference values of the adjacent pixels exploits the correlations among adjacent pixels in an image region. Based on the histogram of the difference values, we modify the difference values slightly to embed CSD data into the image. The CSD data representation has a minimum number of nonzero digits, thus it can decrease alteration of the pixels after data hiding. It is shown that the proposed reversible data hiding method not only can recover the original image without any distortion from the marked image after the hidden data have been extracted but also can achieve higher data hiding capacity compared with conventional methods.
On the Effectiveness of Scheduling Fuzz Testing
Authors: Chen Wei-Jun  , Tyan Hsiao-Rong  , Huang Shih-Kun
Published: February 2025

With the rapid development of software systems, exploiting software vulnerabilities to invade the system has largely increased. As a result, software security becomes vitally important. Since it is impossible to develop programs without bugs and it is inefficient to test program manually, we need a systematic software testing methods to verify if the software is with good quality. Black-box testing is a technique that can find bugs without the target program's source code, and normally copes with mutation fuzz testing. There are numerous fuzz testing tools freely available, but to find the maximum amount of unique bugs in limited interval of time is still a problem remained to be solved. In this paper we have used several scheduling algorithms to improve the fuzzer called FOE (Failure Observation Engine) to better improve the original fuzzing efficiency and produce maximum unique bugs in a given period of time.